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Geel JA, Hramyka A, du Plessis J, Goga Y, Van Zyl A, Hendricks MG, Naidoo T, Mathew R, Louw L, Carr A, Neethling B, Schickerling TM, Omar F, Du Plessis L, Madzhia E, Netshituni V, Eyal K, Ngcana TV, Kelsey T, Ballott DE, Metzger ML. Machine Learning to Predict Interim Response in Pediatric Classical Hodgkin Lymphoma Using Affordable Blood Tests. JCO Glob Oncol 2024; 10:e2300435. [PMID: 39447089 PMCID: PMC11529834 DOI: 10.1200/go.23.00435] [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: 11/18/2023] [Revised: 06/16/2024] [Accepted: 09/03/2024] [Indexed: 10/26/2024] Open
Abstract
PURPOSE Response assessment of classical Hodgkin lymphoma (cHL) with positron emission tomography-computerized tomography (PET-CT) is standard of care in well-resourced settings but unavailable in most African countries. We aimed to investigate correlations between changes in PET-CT findings at interim analysis with changes in blood test results in pediatric patients with cHL in 17 South African centers. METHODS Changes in ferritin, lactate dehydrogenase (LDH), erythrocyte sedimentation rate (ESR), albumin, total white cell count (TWC), absolute lymphocyte count (ALC), and absolute eosinophil count were compared with PET-CT Deauville scores (DS) after two cycles of doxorubicin, bleomycin, vinblastine, and dacarbazine in 84 pediatric patients with cHL. DS 1-3 denoted rapid early response (RER) while DS 4-5 denoted slow early response (SER). Missing values were imputed using the k-nearest neighbor algorithm. Baseline and follow-up blood test values were combined into a single difference variable. Data were split into training and testing sets for analysis using Python scikit-learn 1.2.2 with logistic regression, random forests, naïve Bayes, and support vector machine classifiers. RESULTS Random forest analysis achieved the best validated test accuracy of 73% when predicting RER or SER from blood samples. When applied to the full data set, the optimal model had a predictive accuracy of 80% and a receiver operating characteristic AUC of 89%. The most predictive variable was the differences in ALC, contributing 21% to the model. Differences in ferritin, LDH, and TWC contributed 15%-16%. Differences in ESR, hemoglobin, and albumin contributed 11%-12%. CONCLUSION Changes in low-cost, widely available blood tests may predict chemosensitivity for pediatric cHL without access to PET-CT, identifying patients who may not require radiotherapy. Changes in these nonspecific blood tests should be assessed in combination with clinical findings and available imaging to avoid undertreatment.
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Affiliation(s)
- Jennifer A. Geel
- Department of Paediatrics and Child Health, Paediatric Haematology-Oncology, Charlotte Maxeke Johannesburg Academic Hospital, Wits Donald Gordon Medical Centre, University of the Witwatersrand, Johannesburg, South Africa
| | - Artsiom Hramyka
- Computer Science, St Andrew's University, St Andrew's, United Kingdom
| | - Jan du Plessis
- Universitas Hospital, Bloemfontein, South Africa
- Paediatric Haematology-Oncology, University of the Free State, Bloemfontein, South Africa
| | - Yasmin Goga
- Paediatric Haematology-Oncology, University of KwaZulu-Natal, Durban, South Africa
- Greys Hospital, Pietermaritzburg, South Africa
| | - Anel Van Zyl
- Faculty of Medicine and Health Sciences, Stellenbosch University and Tygerberg Hospital, Cape Town, South Africa
| | - Marc G. Hendricks
- Red Cross War Memorial Children’s Hospital, Cape Town, South Africa
- University of Cape Town, Cape Town, South Africa
| | - Thanushree Naidoo
- Department of Radiation Sciences, Paediatric Radiation Oncology, Charlotte Maxeke Johannesburg Academic Hospital, Wits Donald Gordon Medical Centre, University of the Witwatersrand, Johannesburg, South Africa
| | - Rema Mathew
- Frere Hospital, East London, South Africa
- Paediatric Haematology-Oncology, Walter Sisulu University, East London, South Africa
| | - Lizette Louw
- Nuclear Medicine, Center of Molecular Imaging and Theranostics, Johannesburg, South Africa
| | - Amy Carr
- Paediatric Haematology-Oncology, University of KwaZulu-Natal, Durban, South Africa
- Greys Hospital, Pietermaritzburg, South Africa
| | - Beverley Neethling
- Paediatric Haematology-Oncology, University of KwaZulu-Natal, Durban, South Africa
- Inkosi Albert Luthuli Central Hospital, Durban, South Africa
| | | | - Fareed Omar
- Paediatric Haematology-Oncology, Steve Biko Academic Hospital, University of Pretoria, Pretoria, South Africa
| | - Liezl Du Plessis
- Paediatric Haematology-Oncology, Robert Mangaliso Sobukwe Hospital, Kimberley, South Africa
| | - Elelwani Madzhia
- Dr George Mukhari Hospital, Garankuwa, South Africa
- Paediatric Haematology-Oncology, Sefako Makgatho University, Garankuwa, South Africa
| | - Vhutshilo Netshituni
- Polokwane-Mankweng Hospital Complex, Polokwane, South Africa
- Paediatric Haematology-Oncology, University of Limpopo, Polokwane, South Africa
| | - Katherine Eyal
- University of Cape Town, Cape Town, South Africa
- Southern Africa Labour and Development Research Unit, School of Economics, Cape Town, South Africa
| | - Thandeka V.Z. Ngcana
- Paediatric Haematology-Oncology, Chris Hani Baragwanath Academic Hospital, Wits Donald Gordon Medical Centre, University of the Witwatersrand, Johannesburg, South Africa
| | - Tom Kelsey
- Computer Science, St Andrew's University, St Andrew's, United Kingdom
| | - Daynia E. Ballott
- School of Clinical Medicine, University of the Witwatersrand, Johannesburg, South Africa
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2
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Teimury A, Khameneh MT, Khaledi EM. Major coagulation disorders and parameters in COVID-19 patients. Eur J Med Res 2022; 27:25. [PMID: 35168674 PMCID: PMC8845229 DOI: 10.1186/s40001-022-00655-6] [Citation(s) in RCA: 36] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2021] [Accepted: 02/08/2022] [Indexed: 02/08/2023] Open
Abstract
Coronavirus disease 2019 (COVID-19), with a high prevalence rate, has rapidly infected millions of people around the world. Since viral infections can disrupt the coagulation and homeostasis cascades, various inflammatory and coagulation problems occur due to COVID-19 infection, similar to coronavirus epidemics in 2003 and 2004. According to multiple previous studies, in the present research, we reviewed the most commonly reported problems of COVID-19 patients, such as venous thromboembolism, pulmonary embolism, disseminated intravascular coagulation, etc. and investigated the causes in these patients. Coagulation and inflammatory markers, such as platelets and fibrinogen, C-reactive protein, lactate dehydrogenase, d-dimer, prothrombin time, etc., were also discussed, and the treatment options were briefly reviewed. In addition to coagulation treatments, regular examination of coagulation parameters and thrombotic complications can be helpful in the timely treatment of patients. Therefore, it is helpful to review the coagulation problems in COVID-19 patients. Although all mentioned problems and markers are important in COVID-19, some of them are more valuable in terms of diagnosis and prognosis.
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Affiliation(s)
- Azadeh Teimury
- Department of Cell and Molecular Biology, University of Kashan, Kashan, Iran
| | - Mahshid Taheri Khameneh
- Center of Excellence for Biodiversity, Faculty of Natural Sciences, University of Tabriz, Tabriz, Iran
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3
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Ng DZ, Lee CY, Lam WW, Tong AK, Tan SH, Khoo LP, Tan YH, Chiang J, Chang EW, Chan JY, Poon EY, Somasundaram N, Farid H Rashid M, Tao M, Lim ST, Yang VS. Prognostication of diffuse large B-cell lymphoma patients with Deauville score of 3 or 4 at end-of-treatment PET evaluation: a comparison of the Deauville 5-point scale and the ΔSUVmax method. Leuk Lymphoma 2021; 63:256-259. [PMID: 34665693 DOI: 10.1080/10428194.2021.1992624] [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: 10/20/2022]
Abstract
Diffuse large B-cell lymphoma is treated with anti-CD 20 and multi-drug chemotherapy for cure. Positron emission tomography (PET) scans are performed at end of treatment (EOT) to assess response. EOT Deauville scores (DS) are equivocal for treatment response in some situations, requiring physicians to determine the need for further investigations or treatment. Studies have suggested the delta maximum standardised uptake value (ΔSUVmax) to be superior to DS for assessment of metabolic response at interim PET, although its use at EOT PET, especially in cases of equivocal response, has yet to be established. We investigated whether ΔSUVmax could better discriminate prognosis than DS 3 or 4 at EOT. ΔSUVmax did not outperform DS. Combination of DS 3 and International Prognostic Index (IPI) <3 selects for patients with extremely low risk of disease progression (HR 0.06, 95% CI 0.01 to 0.62, p 0.018) compared to DS 4 and IPI ≥3.
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Affiliation(s)
- David Z Ng
- Internal Medicine Residency, SingHealth Services, Singapore
| | - Chuan Yaw Lee
- Internal Medicine Residency, SingHealth Services, Singapore
| | - Winnie W Lam
- Department of Nuclear Medicine and Molecular Imaging, Singapore General Hospital, Singapore.,Duke-NUS Medical School, Radiological Sciences Academic Clinical Programme, Singapore
| | - Aaron K Tong
- Department of Nuclear Medicine and Molecular Imaging, Singapore General Hospital, Singapore.,Duke-NUS Medical School, Radiological Sciences Academic Clinical Programme, Singapore
| | - Sze Huey Tan
- Biostatistics Unit, National Cancer Centre Singapore, Singapore
| | - Lay Poh Khoo
- Division of Medical Oncology, National Cancer Centre Singapore, Singapore
| | - Ya Hwee Tan
- Division of Medical Oncology, National Cancer Centre Singapore, Singapore
| | - Jianbang Chiang
- Division of Medical Oncology, National Cancer Centre Singapore, Singapore
| | - Esther W Chang
- Division of Medical Oncology, National Cancer Centre Singapore, Singapore
| | - Jason Y Chan
- Division of Medical Oncology, National Cancer Centre Singapore, Singapore.,Duke-NUS Medical School, Oncology Academic Clinical Programme, Singapore
| | - Eileen Y Poon
- Division of Medical Oncology, National Cancer Centre Singapore, Singapore
| | | | | | - Miriam Tao
- Division of Medical Oncology, National Cancer Centre Singapore, Singapore
| | - Soon Thye Lim
- Division of Medical Oncology, National Cancer Centre Singapore, Singapore.,Duke-NUS Medical School, Oncology Academic Clinical Programme, Singapore
| | - Valerie S Yang
- Division of Medical Oncology, National Cancer Centre Singapore, Singapore.,Duke-NUS Medical School, Oncology Academic Clinical Programme, Singapore.,Translational Precision Oncology Laboratory, Institute of Molecular & Cell Biology, A*STAR, Singapore
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4
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Li YH, Zhao YM, Jiang YL, Tang S, Chen MT, Xiao ZZ, Fan W, Hu YY, Zhang X. The prognostic value of end-of-treatment FDG-PET/CT in diffuse large B cell lymphoma: comparison of visual Deauville criteria and a lesion-to-liver SUV max ratio-based evaluation system. Eur J Nucl Med Mol Imaging 2021; 49:1311-1321. [PMID: 34651231 DOI: 10.1007/s00259-021-05581-z] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2021] [Accepted: 10/03/2021] [Indexed: 01/14/2023]
Abstract
PURPOSE The aim of this study was to determine a better criterion for end-of-treatment PET (EoT-PET) assessment and prognostic evaluation of patients with diffuse large B cell lymphoma (DLBCL). METHOD EoT-PET scans were assessed using the visual Deauville 5-point scale (5PS) and LLR, the maximum standard uptake value ratio between the lesion and the liver. The cutoff value of LLR was obtained by receiver operator characteristic curve analysis. Patient outcomes were compared using Kaplan-Meier survival analysis. Prognostic indexes of different criteria were compared. Multivariate Cox regression analysis was performed to evaluate the prognostic factors. RESULTS Four hundred forty-nine newly diagnosed DLBCL patients who received rituximab-based immunochemotherapy were included, and the median follow-up duration was 41.4 months. Patients with Deauville score (DS) 4 displayed significantly longer PFS and OS compared with patients with DS 5 (both p < 0.001), and they had significantly shorter PFS (p < 0.01) but similar OS (p = 0.057) compared with patients with DS 1-3. The differences in PFS and OS between groups were all significant whether positive EoT-PET was defined as DS 4-5 or DS 5 (all p < 0.001). The optimal cutoff of LLR was 1.83, and both PFS and OS were significantly different between EoT-PET-positive and EoT-PET-negative patients as defined by the cutoff (both p < 0.001). LLR-based criterion displayed higher specificity, positive predictive value, and accuracy than 5PS-based criterion in the prediction of disease progression and death events. In the multivariate analysis, positive EoT-PET (as defined by LLR) was related to unfavorable PFS and OS (both p < 0.001). Additional treatment was not correlated with outcomes of EoT-PET-negative patients either defined by LLR or 5PS or EoT-PET-positive patients classified by 5PS, but it was the only beneficial factor for OS (p < 0.05) in EoT-PET-positive patients with LLR ≥ 1.83. CONCLUSION The optimal cutoff of LLR may be superior to Deauville criteria in identifying low-risk DLBCL patients with negative EoT-PET after the first-line immunochemotherapy and sparing them the cost and toxicity of additional treatment.
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Affiliation(s)
- Ying-He Li
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, Guangdong, China.,Department of Nuclear Medicine, Sun Yat-Sen University Cancer Center, 651 Dongfengdong Road, Guangzhou, 510060, Guangdong, China
| | - Yu-Mo Zhao
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, Guangdong, China.,Department of Nuclear Medicine, Sun Yat-Sen University Cancer Center, 651 Dongfengdong Road, Guangzhou, 510060, Guangdong, China
| | - Yong-Luo Jiang
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, Guangdong, China.,Department of Nuclear Medicine, Sun Yat-Sen University Cancer Center, 651 Dongfengdong Road, Guangzhou, 510060, Guangdong, China
| | - Si Tang
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, Guangdong, China.,Department of Nuclear Medicine, Sun Yat-Sen University Cancer Center, 651 Dongfengdong Road, Guangzhou, 510060, Guangdong, China
| | - Mei-Ting Chen
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, Guangdong, China.,Department of Medical Oncology, Sun Yat-Sen University Cancer Center, Guangzhou, Guangdong, China
| | - Zi-Zheng Xiao
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, Guangdong, China.,Department of Nuclear Medicine, Sun Yat-Sen University Cancer Center, 651 Dongfengdong Road, Guangzhou, 510060, Guangdong, China
| | - Wei Fan
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, Guangdong, China. .,Department of Nuclear Medicine, Sun Yat-Sen University Cancer Center, 651 Dongfengdong Road, Guangzhou, 510060, Guangdong, China.
| | - Ying-Ying Hu
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, Guangdong, China. .,Department of Nuclear Medicine, Sun Yat-Sen University Cancer Center, 651 Dongfengdong Road, Guangzhou, 510060, Guangdong, China.
| | - Xu Zhang
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, Guangdong, China. .,Department of Nuclear Medicine, Sun Yat-Sen University Cancer Center, 651 Dongfengdong Road, Guangzhou, 510060, Guangdong, China.
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Tokola S, Kuitunen H, Turpeenniemi-Hujanen T, Kuittinen O. Interim and end-of-treatment PET-CT suffers from high false-positive rates in DLBCL: Biopsy is needed prior to treatment decisions. Cancer Med 2021; 10:3035-3044. [PMID: 33792190 PMCID: PMC8085947 DOI: 10.1002/cam4.3867] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2020] [Revised: 02/17/2021] [Accepted: 03/08/2021] [Indexed: 11/06/2022] Open
Abstract
The application of positron emission tomography (PET)-computed tomography (CT) in treatment response evaluation has increased in diffuse large B-cell lymphoma (DLBCL), although its predictive value is controversial. We retrospectively analyzed the rate of false-positive PET-CTs performed as interim (n = 94) and end-of-treatment (n = 8) assessments among 102 DLBCL patients treated during 2010-2017 at Oulu University Hospital. In PET-CT Deauville score ≥4 was regarded as positive. A biopsy was performed on 35 patients, and vital lymphoma tissue was detected from nine patients. Positive biopsy findings were associated with poor disease outcomes in this study. This difference was statistically significant: 2-year failure-free survival (FFS) was 44% in patients with a positive biopsy versus 83% for those with a negative biopsy (p = 0.003). The corresponding overall survival (OS) rates were 53% versus 95% (p = 0.010). In the multivariate analyses, a negative biopsy was an independent protective factor in FFS (Hazard Ratio (HR) 0.093 (95% confidence interval [CI] 0.017-0.511); p = 0.006) unrelated to the International Prognostic Index (IPI) (HR 1.139 [95% CI 0.237-5.474] p = 0.871) or stage (HR 1.365 [95% CI 0.138-13.470]; p = 0.790). There was no statistically significant difference in OS according to the PET results, but the FFS rate was significantly higher in patients with a negative PET. The value of PET-CT as an evaluation method suffers from a high false-positive rate, and it is inadequate alone for the justification of treatment decisions. Biopsy results provide more reliable prognostic information for the evaluation of treatment response and outcome and should be used to assess patients with positive PET-CT scans.
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Affiliation(s)
- Susanna Tokola
- Department of Oncology and Medical Research Center, Oulu University Hospital, Oulu, Finland.,Unit of Cancer and Translational Medicine Research, Oulu University, Oulu, Finland
| | - Hanne Kuitunen
- Department of Oncology and Medical Research Center, Oulu University Hospital, Oulu, Finland
| | - Taina Turpeenniemi-Hujanen
- Department of Oncology and Medical Research Center, Oulu University Hospital, Oulu, Finland.,Unit of Cancer and Translational Medicine Research, Oulu University, Oulu, Finland
| | - Outi Kuittinen
- Department of Oncology and Medical Research Center, Oulu University Hospital, Oulu, Finland.,Institute of Clinical Medicine, Faculty of Health Medicine, University of Eastern Finland, Kuopio, Finland.,Faculty of Health Medicine, Kuopio University Hospital, Kuopio, Finland
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6
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Eslami P, Moradi M, Dooghaie Moghadam A, Pirsalehi A, Abdul Lateef S, Hadaegh A, Rezai B, Sadeghi A, Asadzadeh Aghdaei H, Zali MR. Lethal outcome of Covid-19 pneumonia in a new liver recipient with neurological manifestation. GASTROENTEROLOGY AND HEPATOLOGY FROM BED TO BENCH 2020; 13:405-409. [PMID: 33244386 PMCID: PMC7682977] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/14/2020] [Accepted: 09/18/2020] [Indexed: 11/02/2022]
Abstract
COVID-19 is a new contagious viral pneumonia with various signs and symptoms, including loss of consciousness, liver injury, and cerebrovascular accident; however, there is little data on the manifestation and outcome of COVID-19 in liver transplant patients. Moreover, because transplant units in Iran were closed from the first day of the COVID-19 pandemic, accurate data about nosocomial COVID-19 and the liver transplant setting is not available. In this article, we introduce a liver transplant recipient with a final fatal outcome, who had had neurological manifestations, and whose COVID-19 manifestations began in the hospital within 2 days of transplant surgery.
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Affiliation(s)
- Pegah Eslami
- Gastroenterology and Liver Diseases Research Center, Research Institute for Gastroenterology and Liver Diseases, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
| | - Muhammadhosein Moradi
- Student Research Committee, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Arash Dooghaie Moghadam
- Gastroenterology and Liver Diseases Research Center, Research Institute for Gastroenterology and Liver Diseases, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
| | - Ali Pirsalehi
- Gastroenterology and Liver Diseases Research Center, Research Institute for Gastroenterology and Liver Diseases, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
| | - Shabnoor Abdul Lateef
- Department of Radiology, Amiralam Hospital, Tehran University of Medical Sciences, Tehran, Iran
| | - Amirreza Hadaegh
- Gastroenterology and Liver Diseases Research Center, Research Institute for Gastroenterology and Liver Diseases, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
| | - Behandokht Rezai
- Gastroenterology and Liver Diseases Research Center, Research Institute for Gastroenterology and Liver Diseases, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
| | - Amir Sadeghi
- Gastroenterology and Liver Diseases Research Center, Research Institute for Gastroenterology and Liver Diseases, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
| | - Hamid Asadzadeh Aghdaei
- Gastroenterology and Liver Diseases Research Center, Research Institute for Gastroenterology and Liver Diseases, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
| | - Mohammad Reza Zali
- Gastroenterology and Liver Diseases Research Center, Research Institute for Gastroenterology and Liver Diseases, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
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