Reference Citation Analysis: Find an Article, Find a Category, Find a Journal, Find a Scholar

For: Yadav K, Shrikhande S, Goel M. Post hepatectomy liver failure: concept of management. J Gastrointest Cancer 2014;45:405-413. [PMID: 25104504 DOI: 10.1007/s12029-014-9646-3] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]

For:	Yadav K, Shrikhande S, Goel M. Post hepatectomy liver failure: concept of management. J Gastrointest Cancer 2014;45:405-413. [PMID: 25104504 DOI: 10.1007/s12029-014-9646-3] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]

Number

Cited by Other Article(s)

Wang X, Zhu MX, Wang JF, Liu P, Zhang LY, Zhou Y, Lin XX, Du YD, He KL. Multivariable prognostic models for post-hepatectomy liver failure: An updated systematic review. World J Hepatol 2025;17:103330. [PMID: 40308827 PMCID: PMC12038414 DOI: 10.4254/wjh.v17.i4.103330] [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: 11/18/2024] [Revised: 02/28/2025] [Accepted: 03/21/2025] [Indexed: 04/25/2025] Open

Abstract

BACKGROUND

Partial hepatectomy continues to be the primary treatment approach for liver tumors, and post-hepatectomy liver failure (PHLF) remains the most critical life-threatening complication following surgery.

AIM

To comprehensively review the PHLF prognostic models developed in recent years and objectively assess the risk of bias in these models.

METHODS

This review followed the Checklist for Critical Appraisal and Data Extraction for Systematic Reviews of Prediction Modelling Studies and the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guideline. Three databases were searched from November 2019 to December 2022, and references as well as cited literature in all included studies were manually screened in March 2023. Based on the defined inclusion criteria, articles on PHLF prognostic models were selected, and data from all included articles were extracted by two independent reviewers. The PROBAST was used to evaluate the quality of each included article.

RESULTS

A total of thirty-four studies met the eligibility criteria and were included in the analysis. Nearly all of the models (32/34, 94.1%) were developed and validated exclusively using private data sources. Predictive variables were categorized into five distinct types, with the majority of studies (32/34, 94.1%) utilizing multiple types of data. The area under the curve for the training models included ranged from 0.697 to 0.956. Analytical issues resulted in a high risk of bias across all studies included.

CONCLUSION

The validation performance of the existing models was substantially lower compared to the development models. All included studies were evaluated as having a high risk of bias, primarily due to issues within the analytical domain. The progression of modeling technology, particularly in artificial intelligence modeling, necessitates the use of suitable quality assessment tools.

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Kuhn TN, Engelhardt WD, Kahl VH, Alkukhun A, Gross M, Iseke S, Onofrey J, Covey A, Camacho JC, Kawaguchi Y, Hasegawa K, Odisio BC, Vauthey JN, Antoch G, Chapiro J, Madoff DC. Artificial Intelligence-Driven Patient Selection for Preoperative Portal Vein Embolization for Patients with Colorectal Cancer Liver Metastases. J Vasc Interv Radiol 2025;36:477-488. [PMID: 39638087 DOI: 10.1016/j.jvir.2024.11.025] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2024] [Revised: 10/24/2024] [Accepted: 11/22/2024] [Indexed: 12/07/2024] Open

Abstract

PURPOSE

To develop a machine learning algorithm to improve hepatic resection selection for patients with metastatic colorectal cancer (CRC) by predicting post-portal vein embolization (PVE) outcomes.

MATERIALS AND METHODS

This multicenter retrospective study (2000-2020) included 200 consecutive patients with CRC liver metastases planned for PVE before surgery. Data on radiomic features and laboratory values were collected. Patient-specific eigenvalues for each liver shape were calculated using a statistical shape model approach. After semiautomatic segmentation and review by a board-certified radiologist, the data were split 70%/30% for training and testing. Three machine learning algorithms predicting the total liver volume (TLV) after PVE, sufficient future liver remnant (FLR%), and kinetic growth rate (KGR%) were trained, with performance assessed using accuracy, sensitivity, specificity, area under the curve (AUC), or root mean squared error. Significance between the internal and external test sets was assessed by the Student t-test. One institution was kept separate as an external testing set.

RESULTS

A total of 114 (76 men; mean age, 56 years [SD± 12]) and 37 (19 men; mean age, 50 years ± [SD± 11]) patients met the inclusion criteria for the internal validation and external validation, respectively. Prediction accuracy and AUC for sufficient FLR% or liver growth potential (KGR%> 0%) were high in the internal testing set-85.81% (SD ± 1.01) and 0.91 (SD ± 0.01) or 87.44% (SD ± 0.10) and 0.66 (SD ± 0.03), respectively. Similar results occurred in the external testing set-79.66% (SD ± 0.60) and 0.88 (SD ± 0.00) or 72.06% (SD ± 0.30) and 0.69 (SD ± 0.01), respectively. TLV prediction showed discrepancy rates of 12.56% (SD ±4.20%; P = .86) internally and 13.57% (SD ± 3.76%; P = .91) externally.

CONCLUSIONS

Machine learning-based models incorporating radiomics and laboratory test results may help predict the FLR%, KGR%, and TLV as metrics for successful PVE.

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Affiliation(s)

Tom N Kuhn Department of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, Connecticut; Department of Diagnostic and Interventional Radiology, University Düsseldorf, Medical Faculty, Düsseldorf, Germany
William D Engelhardt Department of Biomedical Engineering, James McKlevey School of Engineering, Washington University, St. Louis, Missouri
Vinzent H Kahl Department of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, Connecticut; Department of Radiology, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität, and Berlin Institute of Health, Berlin, Germany
Abedalrazaq Alkukhun Department of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, Connecticut
Moritz Gross Department of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, Connecticut; Department of Radiology, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität, and Berlin Institute of Health, Berlin, Germany
Simon Iseke Department of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, Connecticut; Department of Diagnostic and Interventional Radiology, Pediatric Radiology and Neuroradiology, Rostock University Medical Center, Rostock, Germany
John Onofrey Department of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, Connecticut; Department of Biomedical Engineering, Yale University, New Haven, Connecticut; Department of Urology, Yale School of Medicine, New Haven, Connecticut
Anne Covey Interventional Radiology Service, Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, New York
Juan C Camacho Department of Clinical Sciences, Florida State University College of Medicine, Tallahassee, Florida
Yoshikuni Kawaguchi Hepato-Biliary-Pancreatic Surgery Division, Department of Surgery, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
Kiyoshi Hasegawa Hepato-Biliary-Pancreatic Surgery Division, Department of Surgery, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
Bruno C Odisio Department of Interventional Radiology, The University of Texas MD Anderson Cancer Center, Houston, Texas
Jean-Nicolas Vauthey Department of Surgical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas
Gerald Antoch Department of Diagnostic and Interventional Radiology, University Düsseldorf, Medical Faculty, Düsseldorf, Germany
Julius Chapiro Department of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, Connecticut; Department of Biomedical Engineering, Yale University, New Haven, Connecticut; Department of Internal Medicine, Section of Digestive Diseases, Yale School of Medicine, New Haven, Connecticut
David C Madoff Department of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, Connecticut; Department of Internal Medicine, Section of Medical Oncology, Yale School of Medicine, New Haven, Connecticut; Department of Surgery, Section of Surgical Oncology, Yale School of Medicine, New Haven, Connecticut.

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Primavesi F, Senoner T, Schindler S, Nikolajevic A, Di Fazio P, Csukovich G, Eller S, Neumayer B, Anliker M, Braunwarth E, Oberhuber R, Resch T, Maglione M, Cardini B, Niederwieser T, Gasteiger S, Klieser E, Tilg H, Schneeberger S, Neureiter D, Öfner D, Troppmair J, Stättner S. The Interplay between Perioperative Oxidative Stress and Hepatic Dysfunction after Human Liver Resection: A Prospective Observational Pilot Study. Antioxidants (Basel) 2024;13:590. [PMID: 38790695 PMCID: PMC11118143 DOI: 10.3390/antiox13050590] [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: 04/05/2024] [Revised: 05/02/2024] [Accepted: 05/07/2024] [Indexed: 05/26/2024] Open

Abstract

Post-hepatectomy liver failure (PHLF) remains the major contributor to death after liver resection. Oxidative stress is associated with postoperative complications, but its impact on liver function is unclear. This first in-human, prospective, single-center, observational pilot study evaluated perioperative oxidative stress and PHLF according to the ISGLS (International Study Group for Liver Surgery). Serum 8-isoprostane, 4-hydroxynonenal (4-HNE), total antioxidative capacity, vitamins A and E, and intraoperative, sequential hepatic tissue 4-HNE and UCP2 (uncoupling protein 2) immunohistochemistry (IHC) were assessed. The interaction with known risk factors for PHLF and the predictive potential of oxidative stress markers were analyzed. Overall, 52 patients were included (69.2% major liver resection). Thirteen patients (25%) experienced PHLF, a major factor for 90-day mortality (23% vs. 0%; p = 0.013). Post-resection, pro-oxidative 8-isoprostane significantly increased (p = 0.038), while 4-HNE declined immediately (p < 0.001). Antioxidative markers showed patterns of consumption starting post-resection (p < 0.001). Liver tissue oxidative stress increased stepwise from biopsies taken after laparotomy to post-resection in situ liver and resection specimens (all p < 0.001). Cholangiocarcinoma patients demonstrated significantly higher serum and tissue oxidative stress levels at various timepoints, with consistently higher preoperative values in advanced tumor stages. Combining intraoperative, post-resection 4-HNE serum levels and in situ IHC early predicted PHLF with an AUC of 0.855 (63.6% vs. 0%; p < 0.001). This was also associated with grade B/C PHLF (36.4% vs. 0%; p = 0.021) and 90-day mortality (18.2% vs. 0%; p = 0.036). In conclusion, distinct patterns of perioperative oxidative stress levels occur in patients with liver dysfunction. Combining intraoperative serum and liver tissue markers predicts subsequent PHLF. Cholangiocarcinoma patients demonstrated pronounced systemic and hepatic oxidative stress, with increasing levels in advanced tumor stages, thus representing a worthwhile target for future exploratory and therapeutic studies.

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Affiliation(s)

Florian Primavesi Department of Visceral, Transplant and Thoracic Surgery, Medical University of Innsbruck, 6020 Innsbruck, Austria; (S.S.); (E.B.); (R.O.); (T.R.); (M.M.); (B.C.); (S.G.); (S.S.); (D.Ö.) Daniel Swarovski Research Laboratory, Department of Visceral, Transplant and Thoracic Surgery, Medical University of Innsbruck, 6020 Innsbruck, Austria; (A.N.); (S.E.); (J.T.) Department of General, Visceral and Vascular Surgery, Salzkammergutklinikum, 4840 Vöcklabruck, Austria;
Thomas Senoner Department of Anaesthesiology and Intensive Care Medicine, Medical University of Innsbruck, 6020 Innsbruck, Austria;
Sophie Schindler Department of Visceral, Transplant and Thoracic Surgery, Medical University of Innsbruck, 6020 Innsbruck, Austria; (S.S.); (E.B.); (R.O.); (T.R.); (M.M.); (B.C.); (S.G.); (S.S.); (D.Ö.)
Aleksandar Nikolajevic Daniel Swarovski Research Laboratory, Department of Visceral, Transplant and Thoracic Surgery, Medical University of Innsbruck, 6020 Innsbruck, Austria; (A.N.); (S.E.); (J.T.)
Pietro Di Fazio Department of Visceral, Thoracic and Vascular Surgery, Philipps-Universität Marburg, 35043 Marburg, Germany;
Georg Csukovich Daniel Swarovski Research Laboratory, Department of Visceral, Transplant and Thoracic Surgery, Medical University of Innsbruck, 6020 Innsbruck, Austria; (A.N.); (S.E.); (J.T.) Small Animal Internal Medicine, Vetmeduni, 1210 Vienna, Austria
Silvia Eller Daniel Swarovski Research Laboratory, Department of Visceral, Transplant and Thoracic Surgery, Medical University of Innsbruck, 6020 Innsbruck, Austria; (A.N.); (S.E.); (J.T.)
Bettina Neumayer Institute of Pathology, Paracelsus Medical University/University Hospital Salzburg (SALK), 5020 Salzburg, Austria; (B.N.); (E.K.); (D.N.)
Markus Anliker Central Institute of Medical and Chemical Laboratory Diagnostics, Medical University of Innsbruck, 6020 Innsbruck, Austria;
Eva Braunwarth Department of Visceral, Transplant and Thoracic Surgery, Medical University of Innsbruck, 6020 Innsbruck, Austria; (S.S.); (E.B.); (R.O.); (T.R.); (M.M.); (B.C.); (S.G.); (S.S.); (D.Ö.)
Rupert Oberhuber Department of Visceral, Transplant and Thoracic Surgery, Medical University of Innsbruck, 6020 Innsbruck, Austria; (S.S.); (E.B.); (R.O.); (T.R.); (M.M.); (B.C.); (S.G.); (S.S.); (D.Ö.)
Thomas Resch Department of Visceral, Transplant and Thoracic Surgery, Medical University of Innsbruck, 6020 Innsbruck, Austria; (S.S.); (E.B.); (R.O.); (T.R.); (M.M.); (B.C.); (S.G.); (S.S.); (D.Ö.)
Manuel Maglione Department of Visceral, Transplant and Thoracic Surgery, Medical University of Innsbruck, 6020 Innsbruck, Austria; (S.S.); (E.B.); (R.O.); (T.R.); (M.M.); (B.C.); (S.G.); (S.S.); (D.Ö.) Daniel Swarovski Research Laboratory, Department of Visceral, Transplant and Thoracic Surgery, Medical University of Innsbruck, 6020 Innsbruck, Austria; (A.N.); (S.E.); (J.T.)
Benno Cardini Department of Visceral, Transplant and Thoracic Surgery, Medical University of Innsbruck, 6020 Innsbruck, Austria; (S.S.); (E.B.); (R.O.); (T.R.); (M.M.); (B.C.); (S.G.); (S.S.); (D.Ö.)
Thomas Niederwieser Department of Visceral, Transplant and Thoracic Surgery, Medical University of Innsbruck, 6020 Innsbruck, Austria; (S.S.); (E.B.); (R.O.); (T.R.); (M.M.); (B.C.); (S.G.); (S.S.); (D.Ö.)
Silvia Gasteiger Department of Visceral, Transplant and Thoracic Surgery, Medical University of Innsbruck, 6020 Innsbruck, Austria; (S.S.); (E.B.); (R.O.); (T.R.); (M.M.); (B.C.); (S.G.); (S.S.); (D.Ö.)
Eckhard Klieser Institute of Pathology, Paracelsus Medical University/University Hospital Salzburg (SALK), 5020 Salzburg, Austria; (B.N.); (E.K.); (D.N.)
Herbert Tilg Department of Internal Medicine I, Gastroenterology, Hepatology, Endocrinology and Metabolism, Medical University of Innsbruck, 6020 Innsbruck, Austria;
Stefan Schneeberger Department of Visceral, Transplant and Thoracic Surgery, Medical University of Innsbruck, 6020 Innsbruck, Austria; (S.S.); (E.B.); (R.O.); (T.R.); (M.M.); (B.C.); (S.G.); (S.S.); (D.Ö.)
Daniel Neureiter Institute of Pathology, Paracelsus Medical University/University Hospital Salzburg (SALK), 5020 Salzburg, Austria; (B.N.); (E.K.); (D.N.)
Dietmar Öfner Department of Visceral, Transplant and Thoracic Surgery, Medical University of Innsbruck, 6020 Innsbruck, Austria; (S.S.); (E.B.); (R.O.); (T.R.); (M.M.); (B.C.); (S.G.); (S.S.); (D.Ö.) Daniel Swarovski Research Laboratory, Department of Visceral, Transplant and Thoracic Surgery, Medical University of Innsbruck, 6020 Innsbruck, Austria; (A.N.); (S.E.); (J.T.)
Jakob Troppmair Daniel Swarovski Research Laboratory, Department of Visceral, Transplant and Thoracic Surgery, Medical University of Innsbruck, 6020 Innsbruck, Austria; (A.N.); (S.E.); (J.T.)
Stefan Stättner Department of General, Visceral and Vascular Surgery, Salzkammergutklinikum, 4840 Vöcklabruck, Austria;

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Vitello DJ, Shah D, Ko B, Brajcich BC, Peters XD, Merkow RP, Pitt HA, Bentrem DJ. Establishing the clinical relevance of grade A post-hepatectomy liver failure. J Surg Oncol 2024;129:745-753. [PMID: 38225867 PMCID: PMC10922784 DOI: 10.1002/jso.27570] [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: 10/26/2023] [Accepted: 12/09/2023] [Indexed: 01/17/2024]

Morandi A, Risaliti M, Montori M, Buccianti S, Bartolini I, Moraldi L. Predicting Post-Hepatectomy Liver Failure in HCC Patients: A Review of Liver Function Assessment Based on Laboratory Tests Scores. MEDICINA (KAUNAS, LITHUANIA) 2023;59:1099. [PMID: 37374303 DOI: 10.3390/medicina59061099] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/01/2023] [Revised: 05/30/2023] [Accepted: 06/05/2023] [Indexed: 06/29/2023]

Abstract

The assessment of liver function is crucial in predicting the risk of post-hepatectomy liver failure (PHLF) in patients undergoing liver resection, especially in cases of hepatocellular carcinoma (HCC) which is often associated with cirrhosis. There are currently no standardized criteria for predicting the risk of PHLF. Blood tests are often the first- and least invasive expensive method for assessing hepatic function. The Child-Pugh score (CP score) and the Model for End Stage Liver Disease (MELD) score are widely used tools for predicting PHLF, but they have some limitations. The CP score does not consider renal function, and the evaluation of ascites and encephalopathy is subjective. The MELD score can accurately predict outcomes in cirrhotic patients, but its predictive capabilities diminish in non-cirrhotic patients. The albumin-bilirubin score (ALBI) is based on serum bilirubin and albumin levels and allows the most accurate prediction of PHLF for HCC patients. However, this score does not consider liver cirrhosis or portal hypertension. To overcome this limitation, researchers suggest combining the ALBI score with platelet count, a surrogate marker of portal hypertension, into the platelet-albumin-bilirubin (PALBI) grade. Non-invasive markers of fibrosis, such as FIB-4 and APRI, are also available for predicting PHLF but they focus only on cirrhosis related aspects and are potentially incomplete in assessing the global liver function. To improve the predictive power of the PHLF of these models, it has been proposed to combine them into a new score, such as the ALBI-APRI score. In conclusion, blood test scores may be combined to achieve a better predictive value of PHLF. However, even if combined, they may not be sufficient to evaluate liver function and to predict PHLF; thus, the inclusion of dynamic and imaging tests such as liver volumetry and ICG r15 may be helpful to potentially improve the predictive capacity of these models.

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Piccus R, Joshi K, Hodson J, Bartlett D, Chatzizacharias N, Dasari B, Isaac J, Marudanayagam R, Mirza DF, Roberts JK, Sutcliffe RP. Significance of predicted future liver remnant volume on liver failure risk after major hepatectomy: a case matched comparative study. Front Surg 2023;10:1174024. [PMID: 37266000 PMCID: PMC10229890 DOI: 10.3389/fsurg.2023.1174024] [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: 02/25/2023] [Accepted: 05/03/2023] [Indexed: 06/03/2023] Open

Papamichail M, Pizanias M, Heaton ND, M P, M P, Nd H. Minimizing the risk of small-for-size syndrome after liver surgery. Hepatobiliary Pancreat Dis Int 2022;21:113-133. [PMID: 34961675 DOI: 10.1016/j.hbpd.2021.12.005] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/21/2021] [Accepted: 12/06/2021] [Indexed: 02/05/2023]

Mir ZM, Golding H, McKeown S, Nanji S, Flemming JA, Groome PA. Appraisal of multivariable prognostic models for post-operative liver decompensation following partial hepatectomy: a systematic review. HPB (Oxford) 2021;23:1773-1788. [PMID: 34332894 DOI: 10.1016/j.hpb.2021.06.430] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/24/2020] [Revised: 06/20/2021] [Accepted: 06/28/2021] [Indexed: 12/12/2022]

Kudo M, Gotohda N, Sugimoto M, Konishi M, Takahashi S, Kobayashi S, Kobayashi T. The Assessment of Regional Liver Function Before Major Hepatectomy Using Magnetic Resonance Imaging. Am Surg 2021;88:2353-2360. [PMID: 33856936 DOI: 10.1177/00031348211011095] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]

Abstract

BACKGROUND

The liver-to-spleen signal intensity ratio (LSR) on magnetic resonance imaging with gadolinium-ethoxybenzyl-diethylenetriamine pentaacetic acid has been used as a parameter to assess liver function. LSR of the future remnant liver region (FR-LSR) is included in preoperative assessment of regional liver function. The aim of this study was to investigate the predictability of post-hepatectomy liver failure (PHLF) by FR-LSR.

METHODS

Between May 2013 and May 2019, 127 patients underwent standardized EOB-MRI for diagnosis of liver tumor before major hepatectomy. The FR-LSR on EOB-MRI was calculated by a semiautomated three-dimensional volumetric analysis system. The cutoff value of FR-LSR in association with clinically relevant PHLF was determined according to the areas under the receiver operating characteristic curves. Then, FR-LSR and clinical variables were analyzed to assess the risk of clinically relevant PHLF.

RESULTS

In patients with preoperative biliary drainage, metastatic liver tumor, estimated future remnant liver volume <50%, biliary reconstruction, operation time ≥ 480 min, estimated blood loss ≥ 1000 g, blood transfusion and a FR-LSR < 2.00 were associated with clinically relevant PHLF (P < .05 for all) in univariable analysis. The liver-to-spleen signal intensity ratio of the future remnant liver region < 2.00 was the only independent risk factor for clinically relevant PHLF in multivariable risk analysis (OR, 27.90; 95% CI: 7.99-136.40; P < .05).

DISCUSSION

The present study revealed that FR-LSR calculated using a 3-dimensional volumetric analysis system was an independent risk factor for clinically relevant PHLF. The liver-to-spleen signal intensity ratio of the future remnant liver region might be a reliable preoperative parameter in liver functional assessment, enabling safe performance of major hepatectomy.

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Short-Term Outcomes of Patients Undergoing Portal Vein Embolization: an ACS-NSQIP Procedure-Targeted Hepatectomy Analysis. J Gastrointest Surg 2020;24:1571-1580. [PMID: 31346961 DOI: 10.1007/s11605-019-04312-y] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/14/2019] [Accepted: 06/13/2019] [Indexed: 01/31/2023]

Systematic review of MARS treatment in post-hepatectomy liver failure. HPB (Oxford) 2020;22:950-960. [PMID: 32249030 DOI: 10.1016/j.hpb.2020.03.013] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/08/2019] [Revised: 01/26/2020] [Accepted: 03/11/2020] [Indexed: 12/12/2022]

Yu S, Zhou X, Xiang H, Wang S, Cui Z, Zhou J. Resveratrol Reduced Liver Damage After Liver Resection in a Rat Model by Upregulating Sirtuin 1 (SIRT1) and Inhibiting the Acetylation of High Mobility Group Box 1 (HMGB1). Med Sci Monit 2019;25:3212-3220. [PMID: 31041919 PMCID: PMC6507495 DOI: 10.12659/msm.913937] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022] Open

Gilg S, Sandström P, Rizell M, Lindell G, Ardnor B, Strömberg C, Isaksson B. The impact of post-hepatectomy liver failure on mortality: a population-based study. Scand J Gastroenterol 2019;53:1335-1339. [PMID: 30345846 DOI: 10.1080/00365521.2018.1501604] [Citation(s) in RCA: 57] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/04/2023]

Effects of hepatic blood inflow on liver ultrastructure and regeneration after extensive liver resection in rats with cirrhosis. Exp Ther Med 2018;16:2573-2583. [PMID: 30210605 PMCID: PMC6122590 DOI: 10.3892/etm.2018.6467] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2017] [Accepted: 07/06/2018] [Indexed: 01/02/2023] Open

Abstract

The aim of the present study was to investigate the effects of hepatic blood inflow on liver function, liver ultrastructure and the regeneration of future liver remnant (FLR) following major hepatectomy in rats with liver cirrhosis. A rat model of cirrhosis was established through intraperitoneal injection of carbon tetrachloride for 8 consecutive weeks. Extensive liver resection and different blood inflow models by portal vein (PV) and/or hepatic artery (HA) stenosis were conducted on the cirrhosis rats. Animal models were constructed as follows: Control (group A), low-flow PV + high-flow HA (group B), low-flow PV + low-flow HA (group C), high-flow PV + high-flow HA (group D) and high-flow PV + low-flow HA (group E). Hepatic blood inflow was detected by laser speckle contrast analysis, liver function and pathological changes were analyzed, Masson staining was used to identify the fibrosis of the liver and Periodic acid-Schiff staining was used to identify glycogen synthesis and hepatocyte function. The liver cell ultrastructure was evaluated by transmission electron microscopy, and the expression of Ki-67 in hepatocytes and the weight of the FLR were recorded to determine the regeneration of the FLR. Five days after major hepatectomy and liver blood inflow modulation, pathological examination of the livers from groups B and C revealed less congestion and less extensive hepatocellular injury. The serum alanine aminotransferase level of group B at 1, 3 and 5 days after hepatectomy and blood inflow modulation was 460.9±31.7, 331.0±22.0 and 285.6±15.8 U/l, respectively (control group: 676.9±41.7, 574.9±28.0 and 436.1±32.7 U/l, respectively; P<0.05); the total bilirubin of group B at 1, 3 and 5 days was 20.4±1.5, 16.1±1.0 and 13.5±0.6 µmol/l, respectively (control group: 30.3±1.4, 26.5±0.8 and 22.1±1.2 µmol/l, respectively; P<0.05). The size of the endoplasmic reticulum in the low-flow PV groups increased significantly and the mitochondrial swelling was alleviated. The positive rate of Ki-67 in the hepatocytes of groups B, C and D was 23.9±3.6, 15.7±2.3 and 12.9±2.4%, respectively (control group: 10.1±2.1%, P<0.05), and the positive rate of Ki-67 in group E was 6.1±1.4% (compared with that of the control group, P<0.05). The remnant liver weight of group B was 15.4±1.0 g (compared with that of the control group, P<0.05). Therefore, decreased portal blood flow combined with increased hepatic arterial blood flow alleviated the congestion in the liver following major hepatectomy in cirrhotic rats, improved the pathological status and liver function, increased the expression of Ki-67 and promoted liver regeneration.

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Evaluation of liver function using gadolinium-ethoxybenzyl-diethylenetriamine pentaacetic acid enhanced magnetic resonance imaging based on a three-dimensional volumetric analysis system. Hepatol Int 2018;12:368-376. [PMID: 29860678 PMCID: PMC6096956 DOI: 10.1007/s12072-018-9874-x] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/03/2018] [Accepted: 05/22/2018] [Indexed: 12/11/2022]

Abstract

Background

Magnetic resonance imaging with gadolinium-ethoxybenzyl-diethylenetriamine pentaacetic acid (EOB-MRI) is a diagnostic modality for liver tumors. Three-dimensional (3D) volumetric analysis systems using EOB-MRI data are used to simulate liver anatomy for surgery. This study was conducted to investigate clinical utility of a 3D volumetric analysis system on EOB-MRI to evaluate liver function.

Methods

Between August 2014 and December 2015, 181 patients underwent laboratory and radiological exams as standardized preoperative evaluation for liver surgery. The liver-spleen contrast-enhanced ratio (LSR) was measured by a semi-automated 3D volumetric analysis system on EOB-MRI. First, the inter-evaluator variability of the calculated LSR was evaluated. Additionally, a subset of liver surgical specimens was evaluated histologically by using immunohistochemical staining. Finally, the correlations between the LSR and grading systems of liver function, laboratory data, or histological findings were analyzed.

Results

The inter-evaluator correlation coefficient of the measured LSR was 0.986. The mean LSR was significantly correlated with the Child–Pugh score (p = 0.014) and the ALBI score (p < 0.001). Significant correlations were also observed between the LSR and indocyanine green retention rate at 15 min (r = − 0.601, p < 0.001), between the LSR and liver fibrosis stage (r = − 0.556, p < 0.001), and between the LSR and liver steatosis grade (r = − 0.396, p < 0.001).

Conclusion

The LSR calculated by a 3D volumetric analysis system on EOB-MRI was highly reproducible and was shown to be correlated with liver function parameters and liver histology. These data suggest that this imaging modality can be a reliable tool to evaluate liver function.

Electronic supplementary material

The online version of this article (10.1007/s12072-018-9874-x) contains supplementary material, which is available to authorized users.

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Oh IS, Sinn DH, Kang TW, Lee MW, Kang W, Gwak GY, Paik YH, Choi MS, Lee JH, Koh KC, Paik SW. Liver Function Assessment Using Albumin-Bilirubin Grade for Patients with Very Early-Stage Hepatocellular Carcinoma Treated with Radiofrequency Ablation. Dig Dis Sci 2017;62:3235-3242. [PMID: 28983724 DOI: 10.1007/s10620-017-4775-8] [Citation(s) in RCA: 39] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/12/2017] [Accepted: 09/19/2017] [Indexed: 01/27/2023]

Gruttadauria S, Tropea A, Pagano D, Guarini A, Liotta R, Ling T, Tuzzolino F, Luca A, Vizzini G, Gridelli B. Mini-Invasive Approach Contributes to Expand the Indication for Liver Resection for Hepatocellular Carcinoma Without Increasing the Incidence of Posthepatectomy Liver Failure and Other Perioperative Complications: A Single-Center Analysis. J Laparoendosc Adv Surg Tech A 2016;26:439-46. [DOI: 10.1089/lap.2016.0134] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/27/2023] Open

Defining Post Hepatectomy Liver Insufficiency: Where do We stand? J Gastrointest Surg 2015;19:2079-92. [PMID: 26063080 DOI: 10.1007/s11605-015-2872-6] [Citation(s) in RCA: 81] [Impact Index Per Article: 8.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/11/2015] [Accepted: 06/02/2015] [Indexed: 01/31/2023]