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Hori S, Tomizawa M, Inoue K, Yoneda T, Onishi K, Morizawa Y, Gotoh D, Nakai Y, Miyake M, Torimoto K, Tanaka N, Fujimoto K. Screening and prognostic roles of renal volumetry and scintigraphy in the assessment of living kidney transplant donors, considering the early recovery of the residual renal function. BMC Nephrol 2025; 26:28. [PMID: 39825248 PMCID: PMC11740693 DOI: 10.1186/s12882-024-03850-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2024] [Accepted: 11/05/2024] [Indexed: 01/20/2025] Open
Abstract
BACKGROUND The existing criteria for living kidney donors (LKDs)in Japan are controversial. We evaluated the roles of computed tomography volumetry (CTV) and 99 m Tc-diethylenetriamine penta-acetic acid (DTPA) scintigraphy in assessing preoperative and postoperative renal function and predicting early recovery of residual renal function. METHODS We retrospectively reviewed the medical charts of 175 consecutive LKDs who underwent donor nephrectomy (DN) at our institution between 2006 and 2022. Preoperative renal volume was assessed using enhanced CTV, and screening of renal functions was performed using 99 m Tc-DTPA scintigraphy. We evaluated the estimated glomerular filtration rate (eGFR), single-kidney eGFR (skeGFR), and recovery rate three months after DN. RESULTS We included 55 men and 81 women (median age, 59 years; median follow-up period, 73 months). Age > 60 years, hypertension, and total kidney volume/body surface area (TKV/BSA) < 170 mL/m2 independently predicted preoperative eGFR < 80 mL/min/1.73 m2, whereas total measured GFR < 80 mL/min/1.73 m2 independently predicted preoperative eGFR < 70 mL/min/1.73 m2. Regarding postoperative renal function, residual KV/BSA < 85 mL/m2 and ΔskeGFR ≤ 9 mL/min/1.73 m2 independently predicted postoperative eGFR < 60% of preoperative eGFR, and TKV/BSA < 170 mL/m2 independently predicted early recovery of skeGFR. CONCLUSIONS CTV may be used as a reliable prognostic screening tool to select LKDs and assess their split renal functions before DN, and renal scintigraphy may help select the optimal LKD.
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Affiliation(s)
- Shunta Hori
- Department of Urology, Nara Medical University, 840 Shijo-cho, Kashihara, Nara, 634-8522, Japan
| | - Mitsuru Tomizawa
- Department of Urology, Nara Medical University, 840 Shijo-cho, Kashihara, Nara, 634-8522, Japan
| | - Kuniaki Inoue
- Department of Urology, Nara Medical University, 840 Shijo-cho, Kashihara, Nara, 634-8522, Japan
| | - Tatsuo Yoneda
- Department of Urology, Nara Medical University, 840 Shijo-cho, Kashihara, Nara, 634-8522, Japan
| | - Kenta Onishi
- Department of Urology, Nara Medical University, 840 Shijo-cho, Kashihara, Nara, 634-8522, Japan
| | - Yosuke Morizawa
- Department of Urology, Nara Medical University, 840 Shijo-cho, Kashihara, Nara, 634-8522, Japan
| | - Daisuke Gotoh
- Department of Urology, Nara Medical University, 840 Shijo-cho, Kashihara, Nara, 634-8522, Japan
| | - Yasushi Nakai
- Department of Urology, Nara Medical University, 840 Shijo-cho, Kashihara, Nara, 634-8522, Japan
| | - Makito Miyake
- Department of Urology, Nara Medical University, 840 Shijo-cho, Kashihara, Nara, 634-8522, Japan
| | - Kazumasa Torimoto
- Department of Urology, Nara Medical University, 840 Shijo-cho, Kashihara, Nara, 634-8522, Japan
| | - Nobumichi Tanaka
- Department of Urology, Nara Medical University, 840 Shijo-cho, Kashihara, Nara, 634-8522, Japan
- Department of Prostate Brachytherapy, Nara Medical University, 840 Shijo- cho, Kashihara, Nara, 634-8522, Japan
| | - Kiyohide Fujimoto
- Department of Urology, Nara Medical University, 840 Shijo-cho, Kashihara, Nara, 634-8522, Japan.
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Goiffon RJ, Depetris J, Dageforde LA, Kambadakone A. Radiologic evaluation of the kidney transplant donor and recipient. Abdom Radiol (NY) 2025; 50:272-289. [PMID: 38985292 PMCID: PMC11711017 DOI: 10.1007/s00261-024-04477-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2024] [Revised: 06/26/2024] [Accepted: 06/28/2024] [Indexed: 07/11/2024]
Abstract
The kidney is the most common solid organ transplant globally and rates continue to climb, driven by the increasing prevalence of end stage renal disease (ESRD). Compounded by advancements in surgical techniques and immunosuppression leading to longer graft survival, radiologists evermore commonly evaluate kidney transplant patients and candidates, underscoring their role along the transplant process. Multiphase computed tomography (CT) with multiplanar and 3D reformatting is the primary method for evaluating renal donor candidates, detailing renal size, vascular/collecting system anatomy, and identifying significant pathologies such as renal vascular diseases and nephrolithiasis. Ultrasound is the preferred initial postoperative imaging modality for graft evaluation due to its low cost, accessibility, noninvasiveness, and lack of radiation. CT and magnetic resonance imaging (MRI) may be useful adjunctive imaging techniques in diagnosing transplant pathology when ultrasound alone is not diagnostic. Kidney transplant complications are categorized by an approximate timeline framework, aiding in differential diagnosis based on onset, duration, and severity and include perinephric fluid collections, graft compression, iatrogenic injuries, vascular compromise, graft rejection, and neoplastic processes. This review discusses imaging strategies and important findings along the transplant timeline, from donor assessment to long-term recipient complications.
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Affiliation(s)
- Reece J Goiffon
- Department of Radiology, Massachusetts General Hospital, Harvard Medical School, 55 Fruit Street, White 270, Boston, MA, 02114-2696, USA.
| | - Jena Depetris
- Department of Radiological Sciences, University of California Los Angeles Health, David Geffen School of Medicine at UCLA, 757 Westwood Plaza, Suite 1621, Los Angeles, CA, 90095, USA
| | - Leigh Anne Dageforde
- Department of Surgery, Massachusetts General Hospital, Harvard Medical School, 55 Fruit Street, White 511, Boston, MA, 02114-2696, USA
| | - Avinash Kambadakone
- Department of Radiology, Massachusetts General Hospital, Harvard Medical School, 55 Fruit Street, White 270, Boston, MA, 02114-2696, USA
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Sasaki T, Tosaki T, Kuno H, Marumoto H, Okabayashi Y, Haruhara K, Kanzaki G, Koike K, Kobayashi A, Yamamoto I, Tsuboi N, Yokoo T. Estimating baseline creatinine levels based on the kidney parenchymal volume. Clin Exp Nephrol 2024; 28:1178-1186. [PMID: 38914912 DOI: 10.1007/s10157-024-02526-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2024] [Accepted: 06/05/2024] [Indexed: 06/26/2024]
Abstract
BACKGROUND Acute kidney injury (AKI) diagnosis often lacks a baseline serum creatinine (Cr) value. Our study aimed to create a regression equation linking kidney morphology to function in kidney donors and chronic kidney disease patients. We also sought to estimate baseline Cr in minimal change disease (MCD) patients, a common AKI-predisposing condition. METHODS We analyzed 119 participants (mean age 60 years, 50% male, 40% donors) with CT scans, dividing them into derivation and validation groups. An equation based on kidney parenchymal volume (PV) was developed in the derivation group and validated in the validation group. We estimated baseline Cr in 43 MCD patients (mean age 45 years, 61% male) using the PV-based equation and compared with their 6 month post-MCD onset Cr values. RESULTS In the derivation group, the equation for the estimated glomerular filtration rate (eGFR) was: eGFR (mL/min/1.73m2) = 0.375 × PV (cm3) + (- 0.395) × age (years) + (- 2.93) × male sex + (- 13.3) × hypertension + (- 14.0) × diabetes + (- 0.210) × height (cm) + 82.0 (intercept). In the validation group, the eGFR and estimated Cr values correlated well with the measured values (r = 0.46, p = 0.01; r = 0.51, p = 0.004, respectively). In the MCD group, the baseline Cr values were significantly correlated with the estimated baseline Cr values (r = 0.52, p < 0.001), effectively diagnosing AKI (kappa = 0.76, p < 0.001). CONCLUSIONS The PV-based regression equation established in this study holds promise for estimating baseline Cr values and diagnosing AKI in patients with MCD. Further validation in diverse AKI populations is warranted.
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Affiliation(s)
- Takaya Sasaki
- Division of Nephrology and Hypertension, Department of Internal Medicine, The Jikei University School of Medicine, 3-25-8 Nishi-Shimbashi, Minato-Ku, Tokyo, Japan.
| | - Takeshi Tosaki
- Division of Nephrology and Hypertension, Department of Internal Medicine, The Jikei University School of Medicine, 3-25-8 Nishi-Shimbashi, Minato-Ku, Tokyo, Japan
| | - Hideaki Kuno
- Division of Nephrology and Hypertension, Department of Internal Medicine, The Jikei University School of Medicine, 3-25-8 Nishi-Shimbashi, Minato-Ku, Tokyo, Japan
| | - Hirokazu Marumoto
- Division of Nephrology and Hypertension, Department of Internal Medicine, The Jikei University School of Medicine, 3-25-8 Nishi-Shimbashi, Minato-Ku, Tokyo, Japan
| | - Yusuke Okabayashi
- Division of Nephrology and Hypertension, Department of Internal Medicine, The Jikei University School of Medicine, 3-25-8 Nishi-Shimbashi, Minato-Ku, Tokyo, Japan
| | - Kotaro Haruhara
- Division of Nephrology and Hypertension, Department of Internal Medicine, The Jikei University School of Medicine, 3-25-8 Nishi-Shimbashi, Minato-Ku, Tokyo, Japan
| | - Go Kanzaki
- Division of Nephrology and Hypertension, Department of Internal Medicine, The Jikei University School of Medicine, 3-25-8 Nishi-Shimbashi, Minato-Ku, Tokyo, Japan
| | - Kentaro Koike
- Division of Nephrology and Hypertension, Department of Internal Medicine, The Jikei University School of Medicine, 3-25-8 Nishi-Shimbashi, Minato-Ku, Tokyo, Japan
| | - Akimitsu Kobayashi
- Division of Nephrology and Hypertension, Department of Internal Medicine, The Jikei University School of Medicine, 3-25-8 Nishi-Shimbashi, Minato-Ku, Tokyo, Japan
| | - Izumi Yamamoto
- Division of Nephrology and Hypertension, Department of Internal Medicine, The Jikei University School of Medicine, 3-25-8 Nishi-Shimbashi, Minato-Ku, Tokyo, Japan
| | - Nobuo Tsuboi
- Division of Nephrology and Hypertension, Department of Internal Medicine, The Jikei University School of Medicine, 3-25-8 Nishi-Shimbashi, Minato-Ku, Tokyo, Japan.
| | - Takashi Yokoo
- Division of Nephrology and Hypertension, Department of Internal Medicine, The Jikei University School of Medicine, 3-25-8 Nishi-Shimbashi, Minato-Ku, Tokyo, Japan
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Lim SJ, Kwon J, Ko Y, Kwon HE, Lee JJ, Kim JM, Jung JH, Kwon H, Kim YH, Park JB, Lee KW, Shin S. Development and validation of risk prediction model for post-donation renal function in living kidney donors. Sci Rep 2024; 14:15514. [PMID: 38969704 PMCID: PMC11226593 DOI: 10.1038/s41598-024-61107-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2024] [Accepted: 05/02/2024] [Indexed: 07/07/2024] Open
Abstract
This study aimed to create and validate a predictive model for renal function following live kidney donation, using pre-donation factors. Accurately predicting remaining renal function post live kidney donation is currently insufficient, necessitating an effective assessment tool. A multicenter retrospective study of 2318 live kidney donors from two independent centers (May 2007-December 2019) was conducted. The primary endpoint was the reduction in eGFR to below 60 mL/min/m2 6 months post-donation. The primary endpoint was achieved in 14.4% of the training cohort and 25.8% of the validation cohort. Sex, age, BMI, hypertension, preoperative eGFR, and remnant kidney proportion (RKP) measured by computerized tomography (CT) volumetry were found significant in the univariable analysis. These variables informed a scoring system based on multivariable analysis: sex (male: 1, female: 0), age at operation (< 30: 0, 30-39: 1, 40-59: 2, ≥ 60: 3), preoperative eGFR (≥ 100: 0, 90-99: 2, 80-89: 4, < 80: 5), and RKP (≥ 52%: 0, < 52%: 1). The total score ranged from 0 to 10. The model showed good discrimination for the primary endpoint in both cohorts. The prediction model provides a useful tool for estimating post-donation renal dysfunction risk, factoring in the side of the donated kidney. It offers potential enhancement to pre-donation evaluations.
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Affiliation(s)
- Seong Jun Lim
- Division of Kidney and Pancreas Transplantation, Department of Surgery, Asan Medical Center, University of Ulsan College of Medicine, 88, Olympic-ro 43-gil, Songpa-gu, Seoul, 05505, Republic of Korea
| | - Jieun Kwon
- Department of Surgery, Soonchunhyang University Seoul Hospital, Soonchunhyang University College of Medicine, Seoul, Korea
| | - Youngmin Ko
- Division of Kidney and Pancreas Transplantation, Department of Surgery, Asan Medical Center, University of Ulsan College of Medicine, 88, Olympic-ro 43-gil, Songpa-gu, Seoul, 05505, Republic of Korea
| | - Hye Eun Kwon
- Division of Kidney and Pancreas Transplantation, Department of Surgery, Asan Medical Center, University of Ulsan College of Medicine, 88, Olympic-ro 43-gil, Songpa-gu, Seoul, 05505, Republic of Korea
| | - Jae Jun Lee
- Division of Kidney and Pancreas Transplantation, Department of Surgery, Asan Medical Center, University of Ulsan College of Medicine, 88, Olympic-ro 43-gil, Songpa-gu, Seoul, 05505, Republic of Korea
| | - Jin-Myung Kim
- Division of Kidney and Pancreas Transplantation, Department of Surgery, Asan Medical Center, University of Ulsan College of Medicine, 88, Olympic-ro 43-gil, Songpa-gu, Seoul, 05505, Republic of Korea
| | - Joo Hee Jung
- Division of Kidney and Pancreas Transplantation, Department of Surgery, Asan Medical Center, University of Ulsan College of Medicine, 88, Olympic-ro 43-gil, Songpa-gu, Seoul, 05505, Republic of Korea
| | - Hyunwook Kwon
- Division of Kidney and Pancreas Transplantation, Department of Surgery, Asan Medical Center, University of Ulsan College of Medicine, 88, Olympic-ro 43-gil, Songpa-gu, Seoul, 05505, Republic of Korea
| | - Young Hoon Kim
- Division of Kidney and Pancreas Transplantation, Department of Surgery, Asan Medical Center, University of Ulsan College of Medicine, 88, Olympic-ro 43-gil, Songpa-gu, Seoul, 05505, Republic of Korea
| | - Jae Berm Park
- Division of Transplantation, Department of Surgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, 81 Irwon-Ro, Gangnam-Gu, Seoul, 06351, Republic of Korea
| | - Kyo Won Lee
- Division of Transplantation, Department of Surgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, 81 Irwon-Ro, Gangnam-Gu, Seoul, 06351, Republic of Korea.
| | - Sung Shin
- Division of Kidney and Pancreas Transplantation, Department of Surgery, Asan Medical Center, University of Ulsan College of Medicine, 88, Olympic-ro 43-gil, Songpa-gu, Seoul, 05505, Republic of Korea.
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Sturman J, Fenton A, Hayat U, Jones R, Lipkin G. Assessing asymmetrical kidney function in living donors: a retrospective cohort study on CT metrics. BMC Nephrol 2024; 25:214. [PMID: 38956529 PMCID: PMC11221179 DOI: 10.1186/s12882-024-03634-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2024] [Accepted: 06/10/2024] [Indexed: 07/04/2024] Open
Abstract
BACKGROUND Live donor kidney transplantation is the preferred kidney replacement therapy for eligible patients but requires thorough donor evaluation to minimise risks. Contemporary guidelines recommend split kidney function measurement in living donors only when there is a significant kidney size discrepancy, yet the evidence for this is poor, and practice varies nationally. This study evaluates the efficacy of CT-derived kidney metrics in detecting significant functional asymmetry. METHODS We conducted a retrospective cohort analysis of 123 prospective living kidney donors at a regional transplant centre from June 2011 to October 2014, utilising CT to determine kidney and cortical volumes and lengths. Asymmetric kidney function (AKF), defined by > 10% function difference on DMSA scans, was correlated with CT measurements to calculate the diagnostic accuracy of current guidelines. RESULTS Among the prospective donors, the median age was 42 years, and 59.3% were female. The median split kidney function difference was 4%, with 25 individuals exhibiting > 10% AKF. Kidney length discrepancy proved to be a poor indicator of AKF (sensitivity: 28%, specificity: 84%). While negative predictive values for cortical and kidney volumes were high (96% and 93%, respectively), sensitivity was low, and specificity and positive predictive value did not meet satisfactory thresholds. CONCLUSIONS CT-derived metrics of kidney length, cortical, and total volume show limited sensitivity and specificity in identifying significant AKF. These findings provide evidence to support revised guideline development in the assessment of living kidney donors.
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Affiliation(s)
- Joseph Sturman
- Department of Renal Medicine, University Hospitals Birmingham NHS Foundation Trust, Queen Elizabeth Hospital Birmingham, Mindelsohn Way, Edgbaston, Birmingham, B15 2GW, UK.
- Institute of Immunology and Immunotherapy, College of Medical and Dental Sciences, University of Birmingham, Edgbaston, Birmingham, B15 2TT, UK.
| | - Anthony Fenton
- Kidney Unit, Royal Stoke University Hospital, Newcastle Road, Stoke-on-Trent, ST4 6QG, UK
| | - Usman Hayat
- Department of Renal Medicine, University Hospitals Birmingham NHS Foundation Trust, Queen Elizabeth Hospital Birmingham, Mindelsohn Way, Edgbaston, Birmingham, B15 2GW, UK
| | - Robert Jones
- Department of Interventional Radiology, University Hospitals Birmingham NHS Foundation Trust, Queen Elizabeth Hospital Birmingham, Mindelsohn Way, Edgbaston, Birmingham, B15 2GW, UK
| | - Graham Lipkin
- Department of Renal Medicine, University Hospitals Birmingham NHS Foundation Trust, Queen Elizabeth Hospital Birmingham, Mindelsohn Way, Edgbaston, Birmingham, B15 2GW, UK.
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López-Abad A, Prudhomme T, Pecoraro A, Boissier R, Dönmez MI, Piana A, Marco BB, Belmonte M, Serni S, Campi R, Territo A. Can CT or MRI volumetry substitute scintigraphy in living kidney donor evaluation? A systematic review. World J Urol 2024; 42:382. [PMID: 38904679 PMCID: PMC11192666 DOI: 10.1007/s00345-024-05024-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2023] [Accepted: 04/28/2024] [Indexed: 06/22/2024] Open
Abstract
BACKGROUND Current potential living kidney donor's assessment includes functional and anatomical evaluation. Scintigraphy is recommended in some cases and some centers include this test in the donor's protocol. Recent studies advocate for the avoidance of this test as CT or MRI volumetry showed to accurately assess donor's renal function. OBJECTIVE To summarize scientific evidence on image tests for pre-donation and/or post-nephrectomy renal function evaluation. EVIDENCE ACQUISITION This review followed the guidelines set by the European Association of Urology and adhered to PRISMA 2020 recommendations. The protocol was registered in PROSPERO on 10th December 2022 (ID: CRD42022379273). EVIDENCE SYNTHESIS Twenty-one studies met the inclusion criteria after thorough screening and eligibility assessment. According to QUADAS-2, patient selection and flow/timing domains showed a predominant low risk of bias. The correlation between split renal function (SRF) using CT and scintigraphy varied from weak (r = 0.21) to remarkably strong (r = 0.949). Bland-Altman agreement demonstrated moderate to excellent results, with mean differences ranging from -0.06% to 1.76%. The correlation between split renal volume (CT) and estimated glomerular filtration rate (eGFR) at 6 months or 1 year after nephrectomy showed a moderate correlation, with coefficients ranging from 0.708 to 0.83. The correlation between SRF (MRI) and renal scintigraphy reported a moderate correlation, with correlation coefficients of 0.58 and 0.84. MRI and scintigraphy displayed a good agreement, with a 66% agreement observed and mean differences of ± 0.3%. CONCLUSIONS Despite study heterogeneity, MRI or CT-based renal volumetry appears promising compared to scintigraphy, with favorable correlations and agreement.
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Affiliation(s)
- Alicia López-Abad
- Department of Urology, Virgen de La Arrixaca University Hospital, Murcia, Spain
- Unit of Urological Robotic Surgery and Renal Transplantation, Careggi Hospital, University of Florence, Viale San Luca, 50134, Florence, Italy
| | - Thomas Prudhomme
- Department of Urology, Kidney Transplantation and Andrology, Toulouse Rangueil University Hospital, Toulouse, France
| | - Alessio Pecoraro
- Unit of Urological Robotic Surgery and Renal Transplantation, Careggi Hospital, University of Florence, Viale San Luca, 50134, Florence, Italy
| | - Romain Boissier
- Department of Urology and Renal Transplantation, Aix-Marseille University, La Conception University Hospital, Marseille, France
| | - Muhammet Irfan Dönmez
- Department of Urology, Istanbul University Istanbul Faculty of Medicine, Istanbul, Turkey
| | - Alberto Piana
- Department of Oncology, Division of Urology, University of Turin, Turin, Italy
| | - Beatriz Bañuelos Marco
- Department of Urology, Kidney Transplantation and Reconstructive Urology, Hospital Universitario Clinico San Carlos, Madrid, Spain
| | - Mario Belmonte
- Unit of Urological Robotic Surgery and Renal Transplantation, Careggi Hospital, University of Florence, Viale San Luca, 50134, Florence, Italy
| | - Sergio Serni
- Unit of Urological Robotic Surgery and Renal Transplantation, Careggi Hospital, University of Florence, Viale San Luca, 50134, Florence, Italy
- Department of Experimental and Clinical Medicine, University of Florence, 50134, Florence, Italy
| | - Riccardo Campi
- Unit of Urological Robotic Surgery and Renal Transplantation, Careggi Hospital, University of Florence, Viale San Luca, 50134, Florence, Italy.
- Department of Experimental and Clinical Medicine, University of Florence, 50134, Florence, Italy.
| | - Angelo Territo
- Department of Urology, Fundació Puigvert, Autonoma University of Barcelona, Barcelona, Spain
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Kyaw L, Thandapani K, Tan L, Peng HM, Goh B, Lu J, Raman L, Tai BC, Anantharaman V, Tiong HY. Choosing the larger kidney on CT volumetry: a study on the early post-donation kidney function of living donors. Int Urol Nephrol 2024; 56:97-102. [PMID: 37653357 DOI: 10.1007/s11255-023-03737-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2023] [Accepted: 08/06/2023] [Indexed: 09/02/2023]
Abstract
BACKGROUND Selecting the smaller kidney for donation has been advocated if there is a size difference of > 10% between the 2 kidneys but has never been prospectively evaluated. With increase in donor nephrectomies, it is important to evaluate this to minimize loss of renal function to donors. METHODS 75 consecutive donor nephrectomy patients were included in our longitudinal study. The Split Renal Volume (SRV) of bilateral kidneys were measured using contrasted computer tomography scans and patients segregated into 2 groups depending on donated kidney having more (Group 1) or less than (Group 2) 52.5% of SRV. RESULTS Patients in Group 1 (n = 19) and 2 (n = 56) were of similar age (43.8 vs. 48.3), BMI (22.4 vs. 25.2), sex (57.9 vs. 55.4% women), respectively. Although total kidney volumes were similar in both groups, Group 1 had significantly smaller right kidney volumes (120.4 ± 24.9 vs. 142.7 ± 28.4 mls, p = 0.003). EGFR pre-operatively (116.3 ± 20.8 vs. 106.3 ± 23.8 mL/min/1.73 m2) and at 6-months (65.7 ± 13.3 vs. 66.9 ± 15.5 mL/min/1.73 m2) were not different between groups. However, patients in Group 1 had significantly greater absolute (50.6 ± 14.9 vs. 39.5 ± 14.7 mL/min/1.73 m2) and relative decline (43.0 ± 8.6 vs. 36.3 ± 10.6%) in eGFR at 6 months (p = 0.06, 0.009). CONCLUSION With a SRV difference of 5% between the 2 sides, removal of the larger kidney for living kidney donation resulted in greater early decline of renal function than kidney donors whose larger or equivalent kidney is preserved.
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Affiliation(s)
- Lin Kyaw
- Department of Urology, National University Hospital, 5 Lower Kent Ridge Rd, Singapore, 119074, Singapore
| | | | - Lynnette Tan
- Department of Urology, National University Hospital, 5 Lower Kent Ridge Rd, Singapore, 119074, Singapore
| | - Hong Min Peng
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Benjamin Goh
- Department of Urology, National University Hospital, 5 Lower Kent Ridge Rd, Singapore, 119074, Singapore
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- National University Centre for Organ Transplantation, Singapore, Singapore
| | - Jirong Lu
- Department of Urology, National University Hospital, 5 Lower Kent Ridge Rd, Singapore, 119074, Singapore
- National University Centre for Organ Transplantation, Singapore, Singapore
| | - Lata Raman
- Department of Urology, National University Hospital, 5 Lower Kent Ridge Rd, Singapore, 119074, Singapore
| | - Bee Choo Tai
- School of Public Health, National University Singapore, Singapore, Singapore
| | - Vathsala Anantharaman
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- National University Centre for Organ Transplantation, Singapore, Singapore
| | - Ho Yee Tiong
- Department of Urology, National University Hospital, 5 Lower Kent Ridge Rd, Singapore, 119074, Singapore.
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
- National University Centre for Organ Transplantation, Singapore, Singapore.
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Yılmaz VT, Tulum G, Dandin Ö, Kısaoğlu A, Cüce F, Ergin T, Özel D, Demiryılmaz İ, Koçak H, Aydınlı B, Osman O. Comparison of tomographic kidney volumes measured by semi-automatic segmentation method with scintigraphic split renal function in predicting posttransplant kidney functions. Clin Physiol Funct Imaging 2022; 42:250-259. [PMID: 35377515 DOI: 10.1111/cpf.12754] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2021] [Revised: 03/16/2022] [Accepted: 03/28/2022] [Indexed: 11/30/2022]
Abstract
INTRODUCTION In this study, it was aimed to compare scintigraphic split renal function (SRF) and computed tomographic (CT) kidney volumes by semi-automatic segmentation method in predicting graft functions after kidney transplantation. METHODS 112 patients (77 males, 35 females) who had a living donor kidney transplant between 2015 and 2017 in our center were included in the study. While SRF was calculated with technetium-99m-diethylenetriaminepentaacetic acid (99m Tc-DTPA) scintigraphy, CT angiography was used for volumetric calculations. RESULTS CT-volumetric measurements, especially renal cortical volume (RCV:103.8 ± 20 mL) and ratio to body mass index (RCV/BMI:4.45±1.3) were found to be more significant than 99m Tc-DTPA-SRF in predicting graft functions. The correlations between SRF and RCV with 6th month eGFR (rSRF:0.052, rRCV:0.317, p=0.041) and 1st year eGFR (rSRF:0.104, rRCV:0.374, p=0.033) were found to be more significant in favor of RCV. The correlation between SRF/BMI and RCV/BMI with 1st, 6th and 12th month eGFR (respectively, p=0.02/0.048/0.024) were found to be more significant in favor of RCV/BMI. Although univariate analysis showed a significant relationship between most volumetric measurements and 1st year graft functions, in multivariate analysis only RCV (OR: 1.04(1.01-1.07), p=0.023) and RCV/BMI (OR: 2.5(1.27-5.39), p=0.013) showed a significant relationship between graft functions. CONCLUSION In our study, it was shown that CT-based renal volumetric measurements, especially RCV and RCV/BMI, predicted graft functions more strongly than scintigraphic 99m Tc-DTPA-SRF. This article is protected by copyright. All rights reserved.
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Affiliation(s)
- Vural Taner Yılmaz
- Akdeniz University Medical School, Department of Internal Medicine, Division of Nephrology, Antalya/TURKEY
| | - Gökalp Tulum
- Nisantasi University, Engineering and Architacture Faculty, Department of Mechatronics Engineering, Istanbul/TURKEY
| | - Özgür Dandin
- Akdeniz University Medical School, Department of General Surgery, Antalya/TURKEY
| | - Abdullah Kısaoğlu
- Akdeniz University Medical School, Department of General Surgery, Antalya/TURKEY
| | - Ferhat Cüce
- Health Sciences University Gulhane Training and Research Hospital, Department of Radiology, Ankara/TURKEY
| | - Tuncer Ergin
- Health Sciences University Gulhane Training and Research Hospital, Department of Radiology, Ankara/TURKEY
| | - Deniz Özel
- Akdeniz University Medical School, Department of Biostatistics and Medical Informatics, Antalya/TURKEY
| | - İsmail Demiryılmaz
- Akdeniz University Medical School, Department of General Surgery, Antalya/TURKEY
| | - Hüseyin Koçak
- Akdeniz University Medical School, Department of Internal Medicine, Division of Nephrology, Antalya/TURKEY
| | - Bülent Aydınlı
- Akdeniz University Medical School, Department of General Surgery, Antalya/TURKEY
| | - Onur Osman
- 6Nisantasi University, Engineering and Architacture Faculty, Depatment of Electrical and Electronics Engineering, Istanbul/TURKEY
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9
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Eum SH, Lee H, Ko EJ, Cho HJ, Yang CW, Chung BH. Comparison of CT volumetry versus nuclear renography for predicting remaining kidney function after uninephrectomy in living kidney donors. Sci Rep 2022; 12:5144. [PMID: 35332250 PMCID: PMC8948196 DOI: 10.1038/s41598-022-09187-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2021] [Accepted: 03/10/2022] [Indexed: 11/30/2022] Open
Abstract
Computed tomography (CT) and nuclear renography are used to determine kidney procurement in living kidney donors (LKDs). The present study investigated which modality better predicts kidney function after donation. This study included 835 LKDs and they were divided into two subgroups based on whether the left–right dominance of kidney volume was concordant with kidney function (concordant group) or not (discordant group). The predictive value for post-donation kidney function between the two imaging modalities was compared at 1 month, 6 months, and > 1 year in total cohort, concordant, and discordant groups. Split kidney function (SKF) measured by both modalities showed significant correlation with each other at baseline. SKFs of remaining kidney measured using both modalities before donation showed significant correlation with eGFR (estimated glomerular filtration rate) after donation in the total cohort group and two subgroups, respectively. CT volumetry was superior to nuclear renography for predicting post-donation kidney function in the total cohort group and both subgroups. In the discordant subgroup, a higher tendency of kidney function recovery was observed when kidney procurement was determined based on CT volumetry. In conclusion, CT volumetry is preferred when determining procurement strategy especially when discordance is found between the two imaging modalities.
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Affiliation(s)
- Sang Hun Eum
- Division of Nephrology, Department of Internal Medicine, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, 222 Banpo-Daero, Seocho-Ku, 137-040, Seoul, Republic of Korea
| | - Hanbi Lee
- Division of Nephrology, Department of Internal Medicine, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, 222 Banpo-Daero, Seocho-Ku, 137-040, Seoul, Republic of Korea
| | - Eun Jeong Ko
- Division of Nephrology, Department of Internal Medicine, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, 222 Banpo-Daero, Seocho-Ku, 137-040, Seoul, Republic of Korea.,Transplant Research Center, Convergent Research Consortium for Immunologic Disease, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea
| | - Hyuk Jin Cho
- Department of Urology, Seoul St. Mary's Hospital, The Catholic University of Korea, Seoul, Republic of Korea
| | - Chul Woo Yang
- Division of Nephrology, Department of Internal Medicine, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, 222 Banpo-Daero, Seocho-Ku, 137-040, Seoul, Republic of Korea.,Transplant Research Center, Convergent Research Consortium for Immunologic Disease, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea
| | - Byung Ha Chung
- Division of Nephrology, Department of Internal Medicine, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, 222 Banpo-Daero, Seocho-Ku, 137-040, Seoul, Republic of Korea. .,Transplant Research Center, Convergent Research Consortium for Immunologic Disease, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.
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10
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Hori S, Tanaka N, Yoneda T, Nishimura N, Tomizawa M, Nakahama T, Nakai Y, Miyake M, Torimoto K, Minamiguchi K, Fujimoto K. Remnant renal volume can predict prognosis of remnant renal function in kidney transplantation donors: a prospective observational study. BMC Nephrol 2021; 22:367. [PMID: 34742246 PMCID: PMC8572493 DOI: 10.1186/s12882-021-02568-8] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2020] [Accepted: 10/15/2021] [Indexed: 11/29/2022] Open
Abstract
Background Safety and survival during and after donor nephrectomy (DN) are one of the main concerns in living kidney donors (LKDs). Therefore, kidney (left/right) to be procured should be determined after considering the difficulty of DN, as well as the preservation of remnant renal function (RRF). In this prospective study, we investigated the roles of computed tomography volumetry (CTV) in split renal function (SRF) and established a predictive model for RRF in LKDs. Methods We assessed 103 LKDs who underwent DN at our institute. The Volume Analyzer SYNAPSE VINCENT image analysis system were used as CTV. RRF was defined as the estimated glomerular filtration rate (eGFR) 12 months after DN. The association between various factors measured by CTV and RRF were investigated, and a role of CTV on prediction for RRF was assessed. Results The median age and the preoperative eGFR were 58 years and 80.7 mL/min/1.73m2, respectively. Each factor measured by CTV showed an association with RRF. The ratio of remnant renal volume to body surface area (RRV/BSA) could predict RRF. In addition, RRV/BSA could predict RRF more accurately when used together with age and 24-h creatinine clearance (CrCl). Conclusions Our findings suggest that RRV/BSA measured by CTV can play an important role in predicting RRF, and a comprehensive assessment including age and CrCl is important to determine the kidney to be procured. Supplementary Information The online version contains supplementary material available at 10.1186/s12882-021-02568-8.
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Affiliation(s)
- Shunta Hori
- Department of Urology, Nara Medical University, 840 Shijo-cho, Kashihara, Nara, 634-8522, Japan
| | - Nobumichi Tanaka
- Department of Urology, Nara Medical University, 840 Shijo-cho, Kashihara, Nara, 634-8522, Japan.
| | - Tatsuo Yoneda
- Department of Urology, Nara Medical University, 840 Shijo-cho, Kashihara, Nara, 634-8522, Japan
| | - Nobutaka Nishimura
- Department of Urology, Nara Medical University, 840 Shijo-cho, Kashihara, Nara, 634-8522, Japan
| | - Mitsuru Tomizawa
- Department of Urology, Nara Medical University, 840 Shijo-cho, Kashihara, Nara, 634-8522, Japan
| | - Tomonori Nakahama
- Department of Urology, Nara Medical University, 840 Shijo-cho, Kashihara, Nara, 634-8522, Japan
| | - Yasushi Nakai
- Department of Urology, Nara Medical University, 840 Shijo-cho, Kashihara, Nara, 634-8522, Japan
| | - Makito Miyake
- Department of Urology, Nara Medical University, 840 Shijo-cho, Kashihara, Nara, 634-8522, Japan
| | - Kazumasa Torimoto
- Department of Urology, Nara Medical University, 840 Shijo-cho, Kashihara, Nara, 634-8522, Japan
| | - Kiyoyuki Minamiguchi
- Department of Radiology and Nuclear Medicine, Nara Medical University, 840 Shijo-cho, Kashihara, Nara, 634-8522, Japan
| | - Kiyohide Fujimoto
- Department of Urology, Nara Medical University, 840 Shijo-cho, Kashihara, Nara, 634-8522, Japan
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11
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Hussain MA, Hamarneh G, Garbi R. Cascaded Regression Neural Nets for Kidney Localization and Segmentation-free Volume Estimation. IEEE TRANSACTIONS ON MEDICAL IMAGING 2021; 40:1555-1567. [PMID: 33606626 DOI: 10.1109/tmi.2021.3060465] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/12/2023]
Abstract
Kidney volume is an essential biomarker for a number of kidney disease diagnoses, for example, chronic kidney disease. Existing total kidney volume estimation methods often rely on an intermediate kidney segmentation step. On the other hand, automatic kidney localization in volumetric medical images is a critical step that often precedes subsequent data processing and analysis. Most current approaches perform kidney localization via an intermediate classification or regression step. This paper proposes an integrated deep learning approach for (i) kidney localization in computed tomography scans and (ii) segmentation-free renal volume estimation. Our localization method uses a selection-convolutional neural network that approximates the kidney inferior-superior span along the axial direction. Cross-sectional (2D) slices from the estimated span are subsequently used in a combined sagittal-axial Mask-RCNN that detects the organ bounding boxes on the axial and sagittal slices, the combination of which produces a final 3D organ bounding box. Furthermore, we use a fully convolutional network to estimate the kidney volume that skips the segmentation procedure. We also present a mathematical expression to approximate the 'volume error' metric from the 'Sørensen-Dice coefficient.' We accessed 100 patients' CT scans from the Vancouver General Hospital records and obtained 210 patients' CT scans from the 2019 Kidney Tumor Segmentation Challenge database to validate our method. Our method produces a kidney boundary wall localization error of ~2.4mm and a mean volume estimation error of ~5%.
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12
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Lal H, Singh A, Prasad R, Yadav P, Akhtar J, Barai S, Mishra P, Bhadauria D, Kaul A, Prasad N, Verma P. Determination of split renal function in voluntary renal donors by multidetector computed tomography and nuclear renography: How well do they correlate? SA J Radiol 2021; 25:2009. [PMID: 33824742 PMCID: PMC8008088 DOI: 10.4102/sajr.v25i1.2009] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2020] [Accepted: 12/22/2020] [Indexed: 11/02/2022] Open
Abstract
BACKGROUND The use of computed tomography (CT) for estimation of split renal function (SRF) has been reported previously. However, most of these studies have small samples, and many do not account for the renal attenuation at CT. OBJECTIVE The aim of this study was to compare multidetector computed tomography (MDCT) volumetry-attenuation-based SRF with that obtained via Tc99m-diethylenetriaminepentaacetic acid (DTPA) renal scintigraphy in voluntary renal donors. METHODS Between January 2017 and January 2020, 526 voluntary renal donors were enrolled prospectively. All donors underwent contrast CT and DTPA scan before surgery. The semiautomatic region of interest (ROI) tool was applied slice by slice on axial CT images acquired in the arterial phase. The renal contour was drawn semiautomatically with mouse clicks around the renal parenchyma, and the renal volume was ascertained. Using renal volume and attenuation, SRF was determined and compared with results obtained at DTPA imaging. RESULTS The mean age was 44.91 ± 10.97 years (mean ± s.d.). There was no significant difference in SRF based on DTPA and MDCT volumetry for the left kidney (49.18% ± 3.40% vs. 49.15% ± 3.38%, p = 0.540) and for the right kidney (50.82% ± 3.40% vs. 50.86% ± 3.39%, p = 0.358). A very good correlation was observed between the two methods for the left kidney (r = 0.953, p = 0.000) and the right kidney (r = 0.955, p = 0.000). On simple linear regression analysis, 90.8% of DTPA SRF values for the left kidney and 91.3% of DTPA SRF values for the right kidney could be predicted correctly using the corresponding MDCT SRF values. CONCLUSION MDCT volumetry-attenuation-derived estimation of SRF for living renal donors could be an alternative to renal scintigraphy-based SRF estimation.
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Affiliation(s)
- Hira Lal
- Department of Radiology, Faculty of Health Sciences, Sanjay Gandhi Post Graduate Institute of Medical Sciences, Lucknow, India
| | - Anuradha Singh
- Department of Radiology, Faculty of Health Sciences, Sanjay Gandhi Post Graduate Institute of Medical Sciences, Lucknow, India
| | - Raghunandan Prasad
- Department of Radiology, Faculty of Health Sciences, Sanjay Gandhi Post Graduate Institute of Medical Sciences, Lucknow, India
| | - Priyank Yadav
- Department of Urology and Renal Transplantation, Faculty Health Sciences, Sanjay Gandhi Post Graduate Institute of Medical Sciences, Lucknow, India
| | - Javed Akhtar
- Department of Radiology, Faculty of Health Sciences, Sanjay Gandhi Post Graduate Institute of Medical Sciences, Lucknow, India
| | - Sukanta Barai
- Department of Radiology, Faculty of Health Sciences, Sanjay Gandhi Post Graduate Institute of Medical Sciences, Lucknow, India
| | - Prabhakar Mishra
- Department of Radiology, Faculty of Health Sciences, Sanjay Gandhi Post Graduate Institute of Medical Sciences, Lucknow, India
| | - Dharmendra Bhadauria
- Department of Radiology, Faculty of Health Sciences, Sanjay Gandhi Post Graduate Institute of Medical Sciences, Lucknow, India
| | - Anupma Kaul
- Department of Radiology, Faculty of Health Sciences, Sanjay Gandhi Post Graduate Institute of Medical Sciences, Lucknow, India
| | - Narayan Prasad
- Department of Radiology, Faculty of Health Sciences, Sanjay Gandhi Post Graduate Institute of Medical Sciences, Lucknow, India
| | - Pragati Verma
- Department of Radiology, Faculty of Health Sciences, Sanjay Gandhi Post Graduate Institute of Medical Sciences, Lucknow, India
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13
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Fiev D, Proskura A, Khokhlachev S, Taratkin M, Borisov V, Chernenkiy M, Gabdulina S, Leonard SP, Alyaev Y, Rivas JG, Enikeev D, Glybochko P. A prospective study of novel mathematical analysis of the contrast-enhanced computed tomography vs renal scintigraphy in renal function evaluation. Eur J Radiol 2020; 130:109169. [PMID: 32663764 DOI: 10.1016/j.ejrad.2020.109169] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2020] [Revised: 07/02/2020] [Accepted: 07/07/2020] [Indexed: 10/23/2022]
Abstract
PURPOSE whilst renal scintigraphy (RS) can be associated with interobserver variability, it remains the standard method of evaluating split renal function. AIM to compare the efficacy of the novel technique of kidney function assessment and renal scintigraphy. METHOD for this prospective single-arm study we recruited patients who were recommended dynamic renal scintigraphy with 99mTc-DTPA (diethylenetriaminepentacetate). After scintigraphy, mathematical analysis of computed tomography (MACT) was done in all patients, by a single person (SK) blinded to RS results. RESULTS the study included a total of 97 patients with mean age of 50.9 (range, 23-78) years. From this sample, 65 were females and 32 males. All patients underwent both RS and contrast-enhanced computed tomography for further MACT in 2016-2018. CT results were found to be similar to renal scintigraphy results with Pearson correlation coefficient of 0.945 (р < 0.001). Substantial similarities in renal plasma flow for both kidneys were also observed (0.815, р < 0.001). CONCLUSION MACT proved feasible, effective and safe in estimating renal function. Its results are closely correlated with RS findings and could be easily integrated into surgical practice.
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Affiliation(s)
- Dmitry Fiev
- Institute for Urology and Reproductive Health, Sechenov University, Moscow, Russia
| | - Alexandra Proskura
- Institute for Urology and Reproductive Health, Sechenov University, Moscow, Russia
| | - Sergey Khokhlachev
- Institute for Urology and Reproductive Health, Sechenov University, Moscow, Russia
| | - Mark Taratkin
- Institute for Urology and Reproductive Health, Sechenov University, Moscow, Russia; EAU Section on Urological Imaging, Netherlands; Young Academic Urologists, EAU, Netherlands
| | | | - Mikhail Chernenkiy
- Institute for Urology and Reproductive Health, Sechenov University, Moscow, Russia
| | - Svetlana Gabdulina
- Institute of Linguistics and Intercultural Communication, Sechenov University, Moscow, Russia
| | - Stephen Pax Leonard
- Institute of Linguistics and Intercultural Communication, Sechenov University, Moscow, Russia
| | - Yuriy Alyaev
- Institute for Urology and Reproductive Health, Sechenov University, Moscow, Russia
| | - Juan Gomez Rivas
- Department of Urology, La Paz University Hospital, Madrid, Spain
| | - Dmitry Enikeev
- Institute for Urology and Reproductive Health, Sechenov University, Moscow, Russia; EAU Section on Uro-technology, Netherlands.
| | - Petr Glybochko
- Institute for Urology and Reproductive Health, Sechenov University, Moscow, Russia
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14
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Akoh JA, Schumacher KJ. Living kidney donor assessment: Kidney length vs differential function. World J Transplant 2020; 10:173-182. [PMID: 32742950 PMCID: PMC7360526 DOI: 10.5500/wjt.v10.i6.173] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/24/2020] [Revised: 05/19/2020] [Accepted: 05/21/2020] [Indexed: 02/05/2023] Open
Abstract
BACKGROUND The key question in living kidney donor assessment is how best to determine the contribution of each kidney to overall renal function and guide selection of which kidney to donate, ensuring safety of procedure and good outcome for both recipient and donor. It is thought that a length difference > 2 cm may indicate significant difference in function and therefore need for measurement of differential function. AIM To determine the effect of using kidney length to decide which kidney to donate in a retrospective cohort of potential donors. METHODS All 333 potential living kidney donors between January 2009 and August 2018 who completed assessment were retrospectively evaluated. Donor assessment was performed as per United Kingdom guidelines. Data included age, sex, kidney length (cranio-caudal) obtained by computed tomography/ultrasono-graphy,51-chromium ethylenediamine tetraacetatic acid measured glomerular filtration rate, mercapto acetyl tri glycine split function and vascular anatomy. There were 48 exclusions due to inadequate data or incomplete investigations. Statistical analysis was performed using Excel pivot tables and GraphPad Prism. Correlation between kidney length and differential function was determined with Pearson's correlation coefficient. RESULTS Of 285 potential donors included in the study, there were 144 males (mean age 49.9 ± 14.75) and 141 females (mean age 51.2 ± 11.23). Overall, the Pearson's correlation between differences in length and divided function of kidney pairs was 0.1630, P = 0.0058. Of 73 with significant difference (> 10%) in divided function, 18 (24.7%) had no difference in kidney length; 54 (74%) had a difference of < 2 cm and only one of > 2 cm. Using a length difference of > 1 cm would only predict significant difference in divided function in 8/34 (23.5%) of cases. Using a difference of > 2 cm as cut off for performing split function would lead to false reassurance in 72 patients (6 had > 20% difference in divided function whereas 66 had 10%-20% difference). CONCLUSION Length difference between kidney pairs alone is not sufficient to replace measurement of divided function. This issue requires a randomised controlled trial to resolve it.
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Affiliation(s)
- Jacob A Akoh
- Department of Surgery, Derriford Hospital, University Hospitals Plymouth NHS Trust, Plymouth PL6 8DH, Devon, United Kingdom
- South West Transplant Centre, Derriford Hospital, University Hospitals Plymouth NHS Trust, Plymouth PL6 8DH, Devon, United Kingdom
| | - Katharina J Schumacher
- Department of Surgery, Derriford Hospital, University Hospitals Plymouth NHS Trust, Plymouth PL6 8DH, Devon, United Kingdom
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15
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Hua L, Sebben R, Olakkengil S, Russell C, Coates T, Bhattacharjya S. Correlation between computed tomography volumetry and nuclear medicine split renal function in live kidney donation: a single-centre experience. ANZ J Surg 2020; 90:1347-1351. [PMID: 32564496 DOI: 10.1111/ans.16087] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2019] [Revised: 04/08/2020] [Accepted: 05/13/2020] [Indexed: 11/30/2022]
Abstract
BACKGROUND Potential live renal donors undergo both renal computed tomography angiogram (CTA) and nuclear imaging dimercaptosuccinic acid (DMSA) scans. Each kidney's renal function and vascular anatomy influences the choice of donor side. Although DMSA measures differential blood flow, it is a surrogate for renal function and nephron mass. Computed tomography techniques can provide volumetry information. The aim of this study was to determine the relationship between measured split renal volumes on computed tomography versus renal volumes derived from DMSA split function in live donors. METHODS Prospective data of live kidney donors assessed at a single Australian centre from 2014 to 2017 were reviewed. All patients had pre-operative CTA and DMSA imaging. Renal volume was determined via semi-automated software calculation from CTA three-dimensional image reconstructions by one investigator. Measured split renal volume was compared against calculated renal volume using measured DMSA split function (percentage split function multiplied by total renal volume). RESULTS Fifty-three patients were included in the study. Split renal volumes on three-dimensional CTA images correlate to calculated split volumes determined from DMSA (Pearson coefficient 0.95 for right renal volume, 0.95 for left). The decision of which kidney to remove can be achieved with CTA only. Omitting a DMSA scan would reduce the radiation load by 0.70 mSv (35 chest X-rays) and potential cost saving of AU$1062.00 per donor. CONCLUSION CTA technology allows accurate assessment of renal volumes that correlate well with DMSA split function. Avoiding a DMSA scan results in cost and radiation reduction in the assessment of a live kidney donor.
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Affiliation(s)
- Lina Hua
- Department of Surgery, Central Adelaide Local Health Network, Adelaide, South Australia, Australia
| | - Ruben Sebben
- Department of Medical Imaging, Central Adelaide Local Health Network, Adelaide, South Australia, Australia
| | - Santosh Olakkengil
- Department of Surgery, Central Adelaide Local Health Network, Adelaide, South Australia, Australia.,Department of Renal and Transplant, Central Adelaide Local Health Network, Adelaide, South Australia, Australia
| | - Christine Russell
- Department of Renal and Transplant, Central Adelaide Local Health Network, Adelaide, South Australia, Australia
| | - Toby Coates
- Department of Renal and Transplant, Central Adelaide Local Health Network, Adelaide, South Australia, Australia
| | - Shantanu Bhattacharjya
- Department of Surgery, Central Adelaide Local Health Network, Adelaide, South Australia, Australia.,Department of Renal and Transplant, Central Adelaide Local Health Network, Adelaide, South Australia, Australia
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16
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Semiautomated Renal Cortex Volumetry in Multislice Computed Tomography: Effect of Slice Thickness and Iterative Reconstruction Algorithms. J Comput Assist Tomogr 2020; 44:236-241. [PMID: 32195802 DOI: 10.1097/rct.0000000000000988] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
OBJECTIVE The aim of the study was to evaluate the effect of slice thickness, iterative reconstruction (IR) algorithm, and kernel selection on measurement accuracy and interobserver variability for semiautomated renal cortex volumetry (RCV) with multislice computed tomography (CT). METHODS Ten patients (62.4 ± 17.2 years) undergoing abdominal biphasic multislice computed tomography were enrolled in this retrospective study. Computed tomography data sets were reconstructed at 1-, 2-, and 5-mm slice thickness with 2 different IR algorithms (iDose, IMRST) and 2 different kernels (IMRS and IMRR) (Philips, the Netherlands). Two readers independently performed semiautomated RCV for each reconstructed data set to calculate left kidney volume (LKV) and split renal function (SRF). Statistics were calculated using analysis of variance with Geisser-Greenhouse correction, followed by Tukey multiple comparisons post hoc test. Statistical significance was defined as P ≤ 0.05. RESULTS Semiautomated RCV of 120 data sets (240 kidneys) was successfully performed by both readers. Semiautomated RCV provides comparable results for LKV and SRF with 3 different slice thicknesses, 2 different IR algorithms, and 2 different kernels. Only the 1-mm slice thickness showed significant differences for LKV between IMRR and IMRS (P = 0.02, mean difference = 4.28 bb) and IMRST versus IMRS (P = 0.02, mean difference = 4.68 cm) for reader 2. Interobserver variability was low between both readers irrespective of slice thickness and reconstruction algorithm (0.82 ≥ P ≥ 0.99). CONCLUSIONS Semiautomated RCV measurements of LKV and SRF are independent of slice thickness, IR algorithm, and kernel selection. These findings suggest that comparisons between studies using different slice thicknesses and reconstruction algorithms for RCV are valid.
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17
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Habbous S, Garcia-Ochoa C, Brahm G, Nguan C, Garg AX. Can Split Renal Volume Assessment by Computed Tomography Replace Nuclear Split Renal Function in Living Kidney Donor Evaluations? A Systematic Review and Meta-Analysis. Can J Kidney Health Dis 2019; 6:2054358119875459. [PMID: 31555456 PMCID: PMC6753513 DOI: 10.1177/2054358119875459] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2019] [Accepted: 07/18/2019] [Indexed: 12/13/2022] Open
Abstract
Background: As part of their living kidney donor assessment, all living donor candidates
complete a computed tomography (CT) angiogram, but some also receive a
nuclear renogram for split renal function (SRF%). Objective: We considered whether split renal volume (SRV%) assessed by CT can predict
SRF%. Design: Systematic review and meta-analysis. Setting: Living donor candidates undergoing evaluation as potential living kidney
donors. Patients: Living donor candidates who received both a nuclear renogram for split
function and CT for SRV as part of their living donor work-up. Measurements: Split renal volume from CT scans and SRF from nuclear renography. Methods: We performed a systematic review and meta-analysis of the literature,
abstracting data and digitizing plots where possible. We searched Medline,
EMBASE, and the Cochrane Library. We added data from donor candidates
assessed in London, Ontario from 2013 to 2016. We used fixed and
random-effects models to pool Fisher’s z-transformed
Pearson’s correlation coefficient (r). We conducted
random-effects meta-regression on digitized and aggregate data. Studies were
restricted to living kidney donors or living donor candidates. Results: After pooling 19 studies (n = 1479), we obtained a pooled correlation of
r = 0.74 (95% confidence interval [CI] = 0.61-0.82). By
linear regression using individual-level data, we observed a 0.76% (95% CI =
0.71-0.81) increase in SRF% for every 1% increase in SRV%. Split renal
volume had a specificity of 88% for discriminating SRF at a threshold that
could influence the decision of which kidney is to be removed
(between-kidney difference ≥10%). Predonation SRV and SRF both moderately
predicted kidney function 6 to 12 months after donation: r
= 0.75 for SRV and r = 0.73 for SRF; Δr =
0.05 (–0.02, 0.13). Limitations: Most studies were retrospective and measured SRV and SRF only on selected
living donor candidates. Efficiency gains in removing the SRF from the
evaluation will depend on the transplant program. Conclusion: Split renal volume has the potential to replace SRF for some candidates.
However, it is uncertain whether it can do so reliably and routinely across
different transplant centers. The impact on clinical decision-making needs
to be assessed in well-designed prospective studies. Trial registration: The digitized data are registered with Mendeley Data
(doi10.17632/dyn2bfgxxj.2).
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Affiliation(s)
- Steven Habbous
- Department of Epidemiology and Biostatistics, Western University, London, ON, Canada
| | - Carlos Garcia-Ochoa
- Department of Epidemiology and Biostatistics, Western University, London, ON, Canada
| | - Gary Brahm
- Department of Radiology, London Health Sciences, ON, Canada
| | | | - Amit X Garg
- Department of Epidemiology and Biostatistics, Western University, London, ON, Canada.,Division of Nephrology, Department of Medicine, Western University, London, ON, Canada
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18
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Khalil A, Yaqub MS, Taber T, Powelson J, Goggins W, Sundaram CP, Diez A, Sharfuddin A. Correlation and Prediction of Living-Donor Remaining Function by Using Predonation Computed Tomography-Based Volumetric Measurements: Role of Remaining Kidney Volume. EXP CLIN TRANSPLANT 2019; 18:39-47. [PMID: 30885100 DOI: 10.6002/ect.2018.0080] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
OBJECTIVES Kidney volume in healthy living donors may serve as a surrogate marker of renal function. Here, we evaluated whether preserved kidney volume correlated with and could predict donor renal function at 2 years postdonation using the CKD-EPI estimated glomerular filtration rate equation. MATERIALS AND METHODS Healthy living donors (n = 208) with computed tomography volume measurements were evaluated for renal function before and after donation. Preserved kidney volume was adjusted to body surface area. Demographic characteristics (including race/ethnicity and sex) and renal function variables of donors were analyzed for postdonation renal function. RESULTS Donor mean age was 39.4 ± 10.7 years (36.2% males, 91.9% white). Median adjusted preserved kidney volume was 180.6 mL. At 2 years postdonation, median estimated glomerular filtration rate was 62.4 mL/min (interquartile range, 54.8-73.2 mL/min). Predonation estimated glomerular filtration rate, age, and adjusted preserved kidney volume were found to be inde-pendent predictors of 2-year estimated glomerular filtration rate (P < .001). We further analyzed data by stratifying preserved kidney volumes into tertiles. Mean 2-year estimated glomerular filtration rates were 57.9 ± 12, 65 ± 16, and 73 ± 17 mL/min for lowest to highest tertile groups, respectively (P < .05). The odds ratio of having a 2-year postdonation estimated glomerular filtration rate of < 60 mL/min for donors in the lowest tertile group was 3.51 (95% confidence interval, 1.9-6.4; P < .001), whereas the risk for donors in the highest tertile group was 0.23 (95% confidence interval, 0.12-0.44; P< .001). Sensitivity analysis result was 0.764 (95% confidence interval, 0.69-0.82; P = .005) for adjusted preserved kidney volume and estimated glomerular filtration rate of < 60 mL/min. CONCLUSIONS Remaining kidney volume before donation correlated with and predicted estimated glomerular filtration rate after donation. Remaining kidney volume should be assessed when selecting kidneys from healthy donors.
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Affiliation(s)
- Ali Khalil
- From the Division of Nephrology, Department of Medicine, Indiana University School of Medicine, Indianapolis, Indiana, USA
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Matsuo M, Yamagishi F, Higuchi A. A Pilot Study of Prediction of Creatinine Clearance by Ellipsoid Volumetry of Kidney Using Noncontrast Computed Tomography. JMA J 2019; 2:60-66. [PMID: 33681514 PMCID: PMC7930707 DOI: 10.31662/jmaj.2018-0021] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2018] [Accepted: 12/17/2018] [Indexed: 12/17/2022] Open
Abstract
Introduction Aging is associated with a decline in kidney volume and function. The purpose of this study is to investigate a direct relationship between kidney volume and function in the elderly population and to challenge whether kidney function could be predictable by using the kidney volume. Methods We conducted a chart review of 366 patients who underwent abdominal computed tomography (CT) and renal function measurement prior to gastrointestinal surgery. The kidney volume was calculated by the ellipsoid method using a coronal section of noncontrast CT images. Results The patients were 72.2 ± 13.2 years of age, and 39.0% were female. Their average measured creatinine clearance (mCCr) was 72.0 ± 21.5 mL/min. The average kidney volume was 100.3 ± 27.6 cm3 in the right kidney and 109.3 ± 30.9 cm3 in the left. There was a significant positive correlation between the total kidney volume and mCCr. Multivariate regression analysis showed that age, diabetes mellitus, and total kidney volume were dependent variables with which to predict mCCr. The use of total kidney volume predicted mCCr of ≥50 mL/min with moderate accuracy (area under the curve = 0.782; 95% confidence interval = 0.692-0.871). Conclusions These results indicate a direct relationship between kidney volume and function in the elderly and might provide a pilot method which estimates the renal function using kidney morphology obtained from pre-existing CT images.
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Affiliation(s)
- Mitsuhiro Matsuo
- Department of Internal Medicine, Itoigawa General Hospital, Itoigawa, Niigata, Japan
| | - Fuminori Yamagishi
- Department of Surgery, Itoigawa General Hospital, Itoigawa, Niigata, Japan
| | - Akiko Higuchi
- Department of Internal Medicine, Itoigawa General Hospital, Itoigawa, Niigata, Japan
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Shinoda K, Morita S, Akita H, Tamaki S, Takahashi R, Kono H, Asanuma H, Kikuchi E, Jinzaki M, Nakagawa K, Oya M. Pre-donation BMI and preserved kidney volume can predict the cohort with unfavorable renal functional compensation at 1-year after kidney donation. BMC Nephrol 2019; 20:46. [PMID: 30736760 PMCID: PMC6368798 DOI: 10.1186/s12882-019-1242-0] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2018] [Accepted: 01/30/2019] [Indexed: 12/18/2022] Open
Abstract
BACKGROUND The magnitude of renal function recovery after kidney donation differs in donors with a heterogeneous background. Preoperative assessment of candidates with potentially unfavorable renal functional compensation is critical when baseline kidney function is marginal. We explored the significance of preserved kidney volume (PKV) and known preoperative risk factors for the prediction of unfavorable renal function compensation. METHODS We enrolled 101 living donors for whom a 1-mm sliced enhanced computed tomography scan was performed preoperatively and clinical data could be collected up to 1 year after donation. The donors whose estimated glomerular filtration rate (eGFR) at 1 year after donation was 70% or higher of baseline eGFR were assigned to the "favorable renal compensation" group and the others to the "unfavorable renal compensation" group. RESULTS Age, sex, and preoperative serum uric acid level were not significant predictors for "unfavorable renal compensation." Multivariable logistic regression analysis revealed that body mass index (BMI) and body surface area (BSA)-adjusted PKV were independent preoperative risk factors for "unfavorable renal compensation" (adjusted odds ratio, 1.342 and 0.929, respectively). Hypertension and preoperative eGFR were not independent predictors when adjusted with BMI and BSA-adjusted PKV. Receiver operative characteristic analysis revealed that the predictive equation with the two independent predictors yielded a good accuracy to detect donor candidates with unfavorable renal functional compensation (area under the curve = 0.803), and the optimal cut-off values were identified as 23.4 kg/m2 for BMI and 107.3 cm3/m2 for BSA-adjusted PKV. CONCLUSIONS BMI and BSA-adjusted PKV may be useful to select candidates with potentially unfavorable renal function compensation before kidney donation.
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Affiliation(s)
- Kazunobu Shinoda
- Department of Urology, Keio University School of Medicine, Tokyo, 160-8582 Japan
- Department of Nephrology, Toho University Faculty of Medicine, 7-5-23 Omorinishi Ota-ku, Tokyo, 143-0015 Japan
| | - Shinya Morita
- Department of Urology, Keio University School of Medicine, Tokyo, 160-8582 Japan
| | - Hirotaka Akita
- Department of Diagnostic Radiology, Keio University School of Medicine, Tokyo, 160-8582 Japan
| | - Satoshi Tamaki
- Department of Urology, Keio University School of Medicine, Tokyo, 160-8582 Japan
| | - Ryohei Takahashi
- Department of Urology, Keio University School of Medicine, Tokyo, 160-8582 Japan
| | - Hidaka Kono
- Department of Urology, Tokyo Dental College Ichikawa General Hospital, Chiba, 272-8513 Japan
| | - Hiroshi Asanuma
- Department of Urology, Keio University School of Medicine, Tokyo, 160-8582 Japan
| | - Eiji Kikuchi
- Department of Urology, Keio University School of Medicine, Tokyo, 160-8582 Japan
| | - Masahiro Jinzaki
- Department of Diagnostic Radiology, Keio University School of Medicine, Tokyo, 160-8582 Japan
| | - Ken Nakagawa
- Department of Urology, Tokyo Dental College Ichikawa General Hospital, Chiba, 272-8513 Japan
| | - Mototsugu Oya
- Department of Urology, Keio University School of Medicine, Tokyo, 160-8582 Japan
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Functional Parenchymal Volume-based Spectrum Score Is Able to Quantify Ischemic Injury After Partial Nephrectomy. Urology 2018; 120:150-155. [DOI: 10.1016/j.urology.2018.07.027] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2018] [Revised: 07/15/2018] [Accepted: 07/17/2018] [Indexed: 01/20/2023]
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Gardan E, Jacquemont L, Perret C, Heudes PM, Gourraud PA, Hourmant M, Frampas E, Limou S. Renal cortical volume: High correlation with pre- and post-operative renal function in living kidney donors. Eur J Radiol 2017; 99:118-123. [PMID: 29362141 DOI: 10.1016/j.ejrad.2017.12.013] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2017] [Revised: 12/14/2017] [Accepted: 12/19/2017] [Indexed: 12/14/2022]
Abstract
BACKGROUND CT volumetry has previously been proposed as an alternative to scintigraphy for the evaluation of pre-donation split renal function and the prediction of post-donation renal function in living kidney donors. The aim of our study was to retrospectively assess the relevance of three CT volumetry techniques for estimating pre-donation kidney function and predicting the risk for chronic kidney disease (CKD) at 1-year post-nephrectomy in a French cohort of living donors using isotopic measures of kidney function. METHODS Kidney volume was quantified pre-donation for 105 donors using three methods total parenchymal three-dimensional renal volume (3DRV), total parenchymal renal volume contouring (RVCt), and renal cortical volume (RCoV). Subjects also had a 51Cr-EDTA scintigraphy to measure glomerular filtration rate (mGFR) pre-donation and 1-year after donation. For each volume, we tested for association with mGFR using univariate regression models, and computed receiver operating characteristics analyses to assess their predictive potential of post-donation CKD. RESULTS Our population was composed of healthy subjects, who were predominantly female (69%) with a median age at donation of 51yo. Median mGFR was 102 mL/min/1.73 m2 at pre-donation and 66 mL/min/1.73 m2 1-year after nephrectomy. The pre-donation median volume of the preserved kidney was 156 cm3, 163 cm3 and 99 cm3 for the 3DRV, RVCt and RCoV methods respectively, with a high correlation observed between each technique (R > 0.84). For all methods, total kidney volume was significantly associated with pre-donation mGFR (P < 0.001). Preserved kidney volume was also strongly correlated with post-donation mGFR (P < 0.0001), with the strongest correlation observed for RCoV (R = 0.60 vs. R = 0.39 and R = 0.51 for 3DRV and RVCt, respectively). Finally, the RCoV method yielded the best predictive value of 1-year post-donation CKD (AUC = 0.80 vs. AUC = 0.76 and 0.70 for RVCt and 3DRV, respectively). CONCLUSIONS In our cohort of healthy donors with measured kidney function, cortical volumetry (RCoV) appears as the best volumetric technique to use as a surrogate to scintigraphy for estimating pre-donation split renal function and predicting post-donation renal outcomes.
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Affiliation(s)
| | - Lola Jacquemont
- Nephrology Department, CHU, Nantes, France; Centre de recherche en Transplantation et Immunologie (CRTI) UMR 1064, INSERM, Université de Nantes, France; Institut de Transplantation Urologie et Néphrologie (ITUN), CHU, Nantes, France
| | | | | | - Pierre-Antoine Gourraud
- Nephrology Department, CHU, Nantes, France; Centre de recherche en Transplantation et Immunologie (CRTI) UMR 1064, INSERM, Université de Nantes, France; Institut de Transplantation Urologie et Néphrologie (ITUN), CHU, Nantes, France
| | | | | | - Sophie Limou
- Centre de recherche en Transplantation et Immunologie (CRTI) UMR 1064, INSERM, Université de Nantes, France; Institut de Transplantation Urologie et Néphrologie (ITUN), CHU, Nantes, France; Ecole Centrale de Nantes, France
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Lee H, Han W, Kang S, Huh K, Kim M, Kim S, Kim Y, Yoon Y. Usefulness of Multi-Detector Computed Tomography Scanning as a Replacement for Diethylenetriamine Pentaacetic Acid. Transplant Proc 2017; 49:1023-1026. [DOI: 10.1016/j.transproceed.2017.03.056] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
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Teishima J, Matsubara A. Editorial Comment from Dr Teishima and Dr Matsubara to Clinical application of calculated split renal volume using computed tomography-based renal volumetry after partial nephrectomy: Correlation with technetium-99m dimercaptosuccinic acid renal scan data. Int J Urol 2017; 24:440. [PMID: 28421626 DOI: 10.1111/iju.13355] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Affiliation(s)
- Jun Teishima
- Department of Urology, Institute of Biomedical and Health Sciences, Integrated Health Sciences, Hiroshima University, Hiroshima, Japan
| | - Akio Matsubara
- Department of Urology, Institute of Biomedical and Health Sciences, Integrated Health Sciences, Hiroshima University, Hiroshima, Japan
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Lee CH, Park YJ, Ku JY, Ha HK. Clinical application of calculated split renal volume using computed tomography-based renal volumetry after partial nephrectomy: Correlation with technetium-99m dimercaptosuccinic acid renal scan data. Int J Urol 2017; 24:433-439. [DOI: 10.1111/iju.13338] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2016] [Accepted: 02/23/2017] [Indexed: 12/16/2022]
Affiliation(s)
- Chan Ho Lee
- Department of Urology; Pusan National University Hospital; Pusan National University School of Medicine; Busan Korea
- Biomedical Research Institute; Pusan National University Hospital; Busan Korea
| | - Young Joo Park
- Department of Internal Medicine; Pusan National University Hospital; Pusan National University School of Medicine; Busan Korea
| | - Ja Yoon Ku
- Department of Urology; Pusan National University Hospital; Pusan National University School of Medicine; Busan Korea
| | - Hong Koo Ha
- Department of Urology; Pusan National University Hospital; Pusan National University School of Medicine; Busan Korea
- Biomedical Research Institute; Pusan National University Hospital; Busan Korea
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Quantification of Single-Kidney Function and Volume in Living Kidney Donors Using Dynamic Contrast-Enhanced MRI. AJR Am J Roentgenol 2016; 207:1022-1030. [DOI: 10.2214/ajr.16.16168] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/06/2023]
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Barbas AS, Li Y, Zair M, Van JA, Famure O, Dib MJ, Laurence JM, Kim SJ, Ghanekar A. CT volumetry is superior to nuclear renography for prediction of residual kidney function in living donors. Clin Transplant 2016; 30:1028-35. [DOI: 10.1111/ctr.12784] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/31/2016] [Indexed: 01/29/2023]
Affiliation(s)
- Andrew S. Barbas
- Kidney Transplant Program; Toronto General Hospital; University Health Network; Toronto Canada
- Division of General Surgery; University Health Network; Toronto Canada
- Department of Surgery; University of Toronto; Toronto Canada
| | - Yanhong Li
- Kidney Transplant Program; Toronto General Hospital; University Health Network; Toronto Canada
| | - Murtuza Zair
- Kidney Transplant Program; Toronto General Hospital; University Health Network; Toronto Canada
| | - Julie A. Van
- Kidney Transplant Program; Toronto General Hospital; University Health Network; Toronto Canada
| | - Olusegun Famure
- Kidney Transplant Program; Toronto General Hospital; University Health Network; Toronto Canada
| | - Martin J. Dib
- Kidney Transplant Program; Toronto General Hospital; University Health Network; Toronto Canada
- Division of General Surgery; University Health Network; Toronto Canada
- Department of Surgery; University of Toronto; Toronto Canada
| | - Jerome M. Laurence
- Kidney Transplant Program; Toronto General Hospital; University Health Network; Toronto Canada
- Division of General Surgery; University Health Network; Toronto Canada
- Department of Surgery; University of Toronto; Toronto Canada
| | - S. Joseph Kim
- Kidney Transplant Program; Toronto General Hospital; University Health Network; Toronto Canada
- Division of Nephrology; University Health Network; Toronto Canada
- Department of Medicine; University of Toronto; Toronto Canada
| | - Anand Ghanekar
- Kidney Transplant Program; Toronto General Hospital; University Health Network; Toronto Canada
- Division of General Surgery; University Health Network; Toronto Canada
- Department of Surgery; University of Toronto; Toronto Canada
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Gaillard F, Pavlov P, Tissier AM, Harache B, Eladari D, Timsit MO, Fournier C, Léon C, Hignette C, Friedlander G, Correas JM, Weinmann P, Méjean A, Houillier P, Legendre C, Courbebaisse M. Use of computed tomography assessed kidney length to predict split renal GFR in living kidney donors. Eur Radiol 2016; 27:651-659. [DOI: 10.1007/s00330-016-4410-7] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2015] [Revised: 02/10/2016] [Accepted: 05/13/2016] [Indexed: 01/29/2023]
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Yanishi M, Kinoshita H, Yoshida T, Takayasu K, Yoshida K, Mishima T, Sugi M, Tsukaguchi H, Kawa G, Matsuda T. Comparison of live donor pre-transplant and recipient post-transplant renal volumes. Clin Transplant 2016; 30:613-8. [DOI: 10.1111/ctr.12727] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/24/2016] [Indexed: 01/17/2023]
Affiliation(s)
- Masaaki Yanishi
- Department of Urology and Andrology; Kansai Medical University; Osaka Japan
| | - Hidefumi Kinoshita
- Department of Urology and Andrology; Kansai Medical University; Osaka Japan
| | - Takashi Yoshida
- Department of Urology and Andrology; Kansai Medical University; Osaka Japan
| | - Kenta Takayasu
- Department of Urology and Andrology; Kansai Medical University; Osaka Japan
| | - Kenji Yoshida
- Department of Urology and Andrology; Kansai Medical University; Osaka Japan
| | - Takao Mishima
- Department of Urology and Andrology; Kansai Medical University; Osaka Japan
| | - Motohiko Sugi
- Department of Urology and Andrology; Kansai Medical University; Osaka Japan
| | - Hiroyasu Tsukaguchi
- 2nd Department of Internal Medicine; Division of Nephrology; Kansai Medical University; Osaka Japan
| | - Gen Kawa
- Department of Urology and Andrology; Kansai Medical University; Osaka Japan
| | - Tadashi Matsuda
- Department of Urology and Andrology; Kansai Medical University; Osaka Japan
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Dias J, Malheiro J, Almeida M, Dias L, Silva-Ramos M, Martins LS, Xambre L, Castro-Henriques A. CT-based renal volume and graft function after living-donor kidney transplantation: Is there a volume threshold to avoid? Int Urol Nephrol 2015; 47:851-9. [DOI: 10.1007/s11255-015-0959-3] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2015] [Accepted: 03/23/2015] [Indexed: 12/20/2022]
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