1
|
Yang Y, Luo Y, Abuliezi D, Zhuang H. Double contrast-enhanced ultrasound features of multiple jejunal adenocarcinomas: A case report. Asian J Surg 2024:S1015-9584(24)02302-9. [PMID: 39428311 DOI: 10.1016/j.asjsur.2024.09.229] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2024] [Accepted: 09/30/2024] [Indexed: 10/22/2024] Open
Affiliation(s)
- Yin Yang
- Department of Medical Ultrasound, West China Hospital, Sichuan University, No. 37, Guoxue Alley, Chengdu, 610041, Sichuan, China
| | - Yuan Luo
- Department of Medical Ultrasound, West China Tianfu Hospital, Sichuan University, No. 3966, South Second Section, Tianfu Avenue, Tianfu New District, Chengdu, 610000, Sichuan, China
| | - Dilimire Abuliezi
- Department of Medical Ultrasound, West China Hospital, Sichuan University, No. 37, Guoxue Alley, Chengdu, 610041, Sichuan, China
| | - Hua Zhuang
- Department of Medical Ultrasound, West China Hospital, Sichuan University, No. 37, Guoxue Alley, Chengdu, 610041, Sichuan, China.
| |
Collapse
|
2
|
Huang C, Hu H, Zheng X. Application effect of 18F-FDG PET/CT technique in diagnosis and prognosis evaluation of lymphoma. SLAS Technol 2024; 29:100176. [PMID: 39151752 DOI: 10.1016/j.slast.2024.100176] [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: 04/27/2024] [Revised: 07/25/2024] [Accepted: 08/13/2024] [Indexed: 08/19/2024]
Abstract
The objective of the study was to research diagnostic and prognostic values of 18F fluorodeoxyglucose (FDG) positron emission tomography (PET)/computed tomography (CT) in patients with diffuse large B-cell lymphoma (DLBCL). The diagnostic sensitivity (Sen) of PET/CT (94.75 %) was remarkably higher than 83.56 % of B-US. Age ≥ 65 years old, maximum focal diameter ≥5 cm, clinical stages III-IV, systemic symptoms, increased lactate dehydrogenase level, high modified international prognostic index score, Ecog score ≥1, B-cell lymphoma 2 (Bcl-2) gene, MYC protein expression rate, metabolic tumor volume (MTV), and total lesion glycolysis (TLG) were all factors that influenced the recurrence or progression of DLBCL. With higher MTV and TLG, patients would have a greater probability of recurrence or progression. 18F-FDG PET/CT showed a high diagnostic Sen in lymphoma lesions, and could accurately guide clinical staging. Combined with clinical parameters, laboratory indicators, and metabolic parameters, prognostic indicators of patients could be evaluated more accurately.
Collapse
Affiliation(s)
- Chao Huang
- Department of Radiology, Huzhou First People's Hospital, Huzhou 313000, China
| | - Haihua Hu
- Department of Nuclear Medicine, Huzhou Zhebei Mingzhou Hospital, Huzhou 313000, China
| | - Xuesheng Zheng
- Department of Radiology, Zhuji Central Hospital, Zhuji 311800, China.
| |
Collapse
|
3
|
Xiao MJ, Pan YT, Tan JH, Li HO, Wang HY. Computed tomography-based radiomics combined with machine learning allows differentiation between primary intestinal lymphoma and Crohn's disease. World J Gastroenterol 2024; 30:3155-3165. [PMID: 39006389 PMCID: PMC11238674 DOI: 10.3748/wjg.v30.i25.3155] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/09/2024] [Revised: 05/20/2024] [Accepted: 06/07/2024] [Indexed: 07/01/2024] Open
Abstract
BACKGROUND Due to similar clinical manifestations and imaging signs, differential diagnosis of primary intestinal lymphoma (PIL) and Crohn's disease (CD) is a challenge in clinical practice. AIM To investigate the ability of radiomics combined with machine learning methods to differentiate PIL from CD. METHODS We collected contrast-enhanced computed tomography (CECT) and clinical data from 120 patients form center 1. A total of 944 features were extracted single-phase images of CECT scans. Using the last absolute shrinkage and selection operator model, the best predictive radiographic features and clinical indications were screened. Data from 54 patients were collected at center 2 as an external validation set to verify the robustness of the model. The area under the receiver operating characteristic curve, accuracy, sensitivity and specificity were used for evaluation. RESULTS A total of five machine learning models were built to distinguish PIL from CD. Based on the results from the test group, most models performed well with a large area under the curve (AUC) (> 0.850) and high accuracy (> 0.900). The combined clinical and radiomics model (AUC = 1.000, accuracy = 1.000) was the best model among all models. CONCLUSION Based on machine learning, a model combining clinical data with radiologic features was constructed that can effectively differentiate PIL from CD.
Collapse
Affiliation(s)
- Meng-Jun Xiao
- Department of Radiology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan 250021, Shandong Province, China
| | - Yu-Teng Pan
- Medical Science and Technology Innovation Center, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan 250000, Shandong Province, China
| | - Jia-He Tan
- University of California, Davis, CA 95616, United States
| | - Hai-Ou Li
- Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan 250012, Shandong Province, China
| | - Hai-Yan Wang
- Department of Radiology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan 250021, Shandong Province, China
| |
Collapse
|
4
|
Ma Y, Wei F, Wang A. The impact of anticipatory care on the therapeutic effectiveness and quality of life of lymphoma patients undergoing autologous hematopoietic stem cell transplantation. Minerva Pediatr (Torino) 2024; 76:135-138. [PMID: 37401353 DOI: 10.23736/s2724-5276.23.07342-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/05/2023]
Affiliation(s)
- Yujia Ma
- Department of Hematology, The First Affiliated Hospital of Soochow University, Suzhou, China
| | - Feng Wei
- Department of Hematology, The First Affiliated Hospital of Soochow University, Suzhou, China
| | - Aiqiu Wang
- Department of Hematology, The First Affiliated Hospital of Soochow University, Suzhou, China -
| |
Collapse
|
5
|
Liu S, Xu M, Zhong L, Tong X, Qian S. Recent Advances in Nanobiotechnology for the Treatment of Non-Hodgkin's Lymphoma. Mini Rev Med Chem 2024; 24:895-907. [PMID: 37724679 DOI: 10.2174/1389557523666230915103121] [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: 04/15/2023] [Revised: 06/20/2023] [Accepted: 07/25/2023] [Indexed: 09/21/2023]
Abstract
Lymphoma is the eighth most common type of cancer worldwide. Currently, lymphoma is mainly classified into two main groups: Hodgkin's lymphoma (HL) and non-Hodgkin's lymphoma (NHL), with NHL accounting for 80% to 90% of the cases. NHL is primarily divided into B, T, and natural killer (NK) cell lymphoma. Nanotechnology is developing rapidly and has made significant contributions to the field of medicine. This review summarizes the advancements of nanobiotechnology in recent years and its applications in the treatment of NHL, especially in diffuse large B cell lymphoma (DLBCL), primary central nervous system lymphoma (PCNSL), and follicular lymphoma (FL). The technologies discussed include clinical imaging, targeted drug delivery, photodynamic therapy (PDT), and thermodynamic therapy (TDT) for lymphoma. This review aims to provide a better understanding of the use of nanotechnology in the treatment of non-Hodgkin's lymphoma.
Collapse
Affiliation(s)
- Shuxian Liu
- Key Laboratory of Elemene Class Anti-Cancer Chinese Medicines, School of Pharmacy, Hangzhou Normal University, Hangzhou, Zhejiang, 311121, China
| | - Minghao Xu
- Key Laboratory of Elemene Class Anti-Cancer Chinese Medicines, School of Pharmacy, Hangzhou Normal University, Hangzhou, Zhejiang, 311121, China
| | - Lei Zhong
- Tongxiang Hospital of Traditional Chinese Medicine, Zhejiang, China
| | - Xiangmin Tong
- Zhejiang Provincial People's Hospital, Affiliated People's Hospital, Hangzhou Medical College, Hangzhou, 310014, China
| | - Suying Qian
- Department of Hematology and Oncology, Ningbo No. 2 Hospital, China
| |
Collapse
|
6
|
Dasyam AK, Borhani AA, Tirukkovalur NV, Cruz RJ. Intestinal and Multivisceral Transplantation: Complications. Radiol Clin North Am 2023; 61:871-887. [PMID: 37495294 DOI: 10.1016/j.rcl.2023.04.008] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/28/2023]
Abstract
Advancements in immunosuppression protocols, surgical techniques, and postoperative care in the last few decades have improved outcomes of intestinal transplant patients. Normal immediate postoperative imaging appearance can simulate pathology. Intestinal transplant recipients are prone for several postoperative complications due to the complex surgical technique, which involves multiple anastomoses, and immunogenic nature of the allograft intestine. Imaging plays a crucial role in detection of several major complications including infectious, immunologic, vascular, gastrointestinal, pancreaticobiliary, genitourinary, and neoplastic complications. The awareness of the posttransplant anatomy and normal imaging appearances helps radiologists anticipate and accurately detect posttransplant complications.
Collapse
Affiliation(s)
- Anil K Dasyam
- Department of Radiology, University of Pittsburgh School of Medicine, 200 Lothrop Street, Pittsburgh, PA 15216, USA.
| | - Amir A Borhani
- Department of Radiology, Northwestern University Feinberg School of Medicine, 676 North Street Claire Street, Suite 800, Chicago, IL 60611, USA
| | - Nikhil V Tirukkovalur
- Kamineni Academy of Medical Science and Research Centre, LB Nagar, Hyderabad, TG 500068, India
| | - Ruy J Cruz
- Intestinal Rehabilitation and Multivisceral Transplant Program, Starzl Transplant Institute
| |
Collapse
|
7
|
Xiao M, Tan J, Li H, Qiu C, Ma Y, Wang H. Nomogram based on computed tomography images and clinical data for distinguishing between primary intestinal lymphoma and Crohn's disease: a retrospective multicenter study. Front Med (Lausanne) 2023; 10:1246861. [PMID: 37663651 PMCID: PMC10469891 DOI: 10.3389/fmed.2023.1246861] [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: 06/28/2023] [Accepted: 08/04/2023] [Indexed: 09/05/2023] Open
Abstract
Background Differential diagnosis of primary intestinal lymphoma (PIL) and Crohn's disease (CD) is a challenge in clinical diagnosis. Aims To investigate the validity of the nomogram based on clinical and computed tomography (CT) features to identify PIL and CD. Methods This study retrospectively analyzed laboratory parameters, demographic characteristics, clinical manifestations, and CT imaging features of PIL and CD patients from two centers. Univariate logistic analysis was performed for each variable, and laboratory parameter model, clinical model and imaging features model were developed separately. Finally, a nomogram was established. All models were evaluated using the area under the curve (AUC), accuracy, sensitivity, specificity, and decision curve analysis (DCA). Results This study collected data from 121 patients (PIL = 69, CD = 52) from Center 1. Data from 43 patients (PIL = 24, CD = 19) were collected at Center 2 as an external validation cohort to validate the robustness of the model. Three models and a nomogram were developed to distinguish PIL from CD. Most models performed well from the external validation cohort. The nomogram showed the best performance with an AUC of 0.921 (95% CI: 0.838-1.000) and sensitivities, specificities, and accuracies of 0.945, 0.792, and 0.860, respectively. Conclusion A nomogram combining clinical data and imaging features was constructed, which can effectively distinguish PIL from CD.
Collapse
Affiliation(s)
- Mengjun Xiao
- Department of Radiology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China
| | - Jiahe Tan
- Computer Science Graduate Studies, University of California, Davis, Davis, CA, United States
| | - Haiou Li
- Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China
| | - Chenyang Qiu
- Department of Radiology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China
| | - Yinchao Ma
- Department of Radiology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China
| | - Haiyan Wang
- Department of Radiology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China
| |
Collapse
|
8
|
Devarapalli UV, Sarma MS, Mathiyazhagan G. Gut and liver involvement in pediatric hematolymphoid malignancies. World J Gastrointest Oncol 2022; 14:587-606. [PMID: 35321282 PMCID: PMC8919016 DOI: 10.4251/wjgo.v14.i3.587] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/03/2021] [Revised: 10/22/2021] [Accepted: 02/27/2022] [Indexed: 02/06/2023] Open
Abstract
Hematolymphoid malignancies are common neoplasms in childhood. The involvement of the gastrointestinal (GI) tract, liver, biliary system, pancreas, and peritoneum are closely interlinked and commonly encountered. In leukemias, lymphomas, and Langerhans cell histiocytosis (LCH), the manifestations result from infiltration, compression, overwhelmed immune system, and chemotherapy-induced drug toxicities. In acute leukemias, major manifestations are infiltrative hepatitis, drug induced gastritis, neutropenic typhlitis and chemotherapy related pancreatitis. Chronic leukemias are rare. Additional presentation in lymphomas is cholestasis due to infiltration or biliary obstruction by lymph nodal masses. Presence of ascites needs a thorough workup for the underlying pathophysiology that may modify the therapy and affect the outcome. Uncommon hematolymphoid malignancies are primary hepatic, hepatosplenic, and GI lymphomas which have strict definitions. In advanced diseases with extensive spread, it may be impossible to distinguish these diseases from the primary site of origin. LCH produces biliary strictures that mimic as sclerosing cholangitis. Liver infiltration is associated with poor liver recovery even after chemotherapy. The heterogeneity of gut and liver manifestations in hematolymphoid malignancies has a clinical impact on their management. Though chemotherapy is the mainstay of therapy in all hematolymphoid malignancies, debulking surgery and radiotherapy have an adjuvant role in specific clinical scenarios. Rare situations presenting as liver failure or end-stage liver disease require liver transplantation. At their initial presentation to a primary care physician, given the ambiguity in clinical manifestations and the prognostic difference with time-bound management, it is vital to recognize them early for optimal outcomes. Pooled data from robust registries across the world is required for better understanding of these complications.
Collapse
Affiliation(s)
- Umeshreddy V Devarapalli
- Department of Pediatric Gastroenterology, Sanjay Gandhi Postgraduate Institute of Medical Sciences, Lucknow 226014, Uttar Pradesh, India
| | - Moinak S Sarma
- Department of Pediatric Gastroenterology, Sanjay Gandhi Postgraduate Institute of Medical Sciences, Lucknow 226014, Uttar Pradesh, India
| | - Gopinathan Mathiyazhagan
- Department of Hematology, Sanjay Gandhi Postgraduate Institute of Medical Sciences, Lucknow 226014, Uttar Pradesh, India
| |
Collapse
|