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Chen Z, Shen S, Xie W, Liao J, Feng S, Li S, Tan J, Kuang M. Comparison of clinical efficacy between LAPS and ALPPS in the treatment of hepatitis B virus-related hepatocellular carcinoma. Gastroenterol Rep (Oxf) 2023; 11:goad060. [PMID: 37842201 PMCID: PMC10570994 DOI: 10.1093/gastro/goad060] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/02/2023] [Revised: 09/06/2023] [Accepted: 09/14/2023] [Indexed: 10/17/2023] Open
Abstract
Background Insufficient post-operative future liver remnant (FLR) limits the feasibility of hepatectomy for patients. Staged hepatectomy is an effective surgical approach that can improve the resection rate of hepatocellular carcinoma (HCC). This study aimed to compare the safety and efficacy of laparoscopic microwave ablation and portal vein ligation for staged hepatectomy (LAPS) and classical associating liver partition and portal vein ligation for staged hepatectomy (ALPPS) in the treatment of hepatitis B virus (HBV)-related HCC. Methods Clinical data of patients with HBV-related HCC who underwent LAPS or ALPPS in our institute between January 2017 and May 2022 were retrospectively analysed. Results A total of 18 patients with HBV-related HCC were retrospectively analysed and divided into the LAPS group (n = 9) and ALPPS group (n = 9). Eight patients in the LAPS group and eight patients in the ALPPS group proceeded to a similar resection rate (88.9% vs 88.9%, P = 1.000). The patients undergoing LAPS had a lower total comprehensive complication index than those undergoing ALPPS but there was not a significant different between the two groups (8.66 vs 35.87, P = 0.054). The hypertrophy rate of FLR induced by ALPPS tended to be more rapid than that induced by LAPS (24.29 vs 13.17 mL/d, P = 0.095). The 2-year recurrence-free survival (RFS) was 0% for ALPPS and 35.7% for LAPS (P = 0.009), whereas the 2-year overall survival for ALPPS and LAPS was 33.3% and 100.0% (P = 0.052), respectively. Conclusions LAPS tended to induce lower morbidity and FLR hypertrophy more slowly than ALPPS, with a comparable resection rate and better long-term RFS in HBV-related HCC patients.
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Affiliation(s)
- Zebin Chen
- Centre of Hepato-Pancreato-Biliary Surgery, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, P. R. China
| | - Shunli Shen
- Centre of Hepato-Pancreato-Biliary Surgery, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, P. R. China
| | - Wenxuan Xie
- Centre of Hepato-Pancreato-Biliary Surgery, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, P. R. China
| | - Junbin Liao
- Centre of Hepato-Pancreato-Biliary Surgery, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, P. R. China
| | - Shiting Feng
- Department of Diagnostic Radiology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, P. R. China
| | - Shaoqiang Li
- Centre of Hepato-Pancreato-Biliary Surgery, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, P. R. China
| | - Jiehui Tan
- Department of Hepatobiliary Surgery, The Third Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, P. R. China
| | - Ming Kuang
- Centre of Hepato-Pancreato-Biliary Surgery, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, P. R. China
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Su TH, Huang SC, Chen CL, Hsu SJ, Liao SH, Hong CM, Tseng TC, Liu CH, Yang HC, Wu YM, Liu CJ, Chen PJ, Kao JH. Pre-operative gamma-glutamyl transferase levels predict outcomes in hepatitis B-related hepatocellular carcinoma after curative resection. J Formos Med Assoc 2023; 122:1008-1017. [PMID: 37147239 DOI: 10.1016/j.jfma.2023.04.009] [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: 01/01/2023] [Revised: 04/01/2023] [Accepted: 04/11/2023] [Indexed: 05/07/2023] Open
Abstract
BACKGROUND Surgical resection is a curative therapy for early-stage hepatocellular carcinoma (HCC); however, HCC recurrence is not uncommon. Identifying outcome predictors helps to manage the disease. Gamma-glutamyl transferase (GGT) may predict the development of HCC, but its role to predict the outcomes after surgical resection of HCC was unclear. This study aimed to investigate pre-operative GGT levels for outcome prediction in patients with hepatitis B virus (HBV)-related HCC. METHODS We conducted a retrospective cohort study to include patients with HBV-related HCC receiving surgical resection. Clinical information, HCC characteristics and usage of antiviral therapy were collected. A time-dependent Cox proportional hazard regression analysis were used to predict HCC recurrence and survival. RESULTS A total of 699 consecutive patients with HBV-related HCC who received surgical resection with curative intent between 2004 and 2013 were included. After a median of 4.4 years, 266 (38%) patients had HCC recurrence. Pre-operative GGT positively correlated with cirrhosis, tumor burden and significantly increased in patients to develop HCC recurrence. Multivariable analysis demonstrated that pre-operative GGT ≥38 U/L increased 57% risk (hazard ratio [HR]: 1.57, 95% confidence interval [CI]: 1.20-2.06) of recurrent HCC after adjustment for confounding factors. Specifically, pre-operative GGT ≥38 U/L predicted early (<2 years) HCC recurrence (HR: 1.94, 95% CI: 1.30-2.89). Moreover, pre-operative GGT ≥38 U/L predicted all-cause mortality (HR: 1.73, 95% CI: 1.06-2.84) after surgery. CONCLUSION Pre-operative GGT levels ≥38 U/L independently predict high risks of HCC recurrence and all-cause mortality in HBV-related HCC patients receiving surgical resection.
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Affiliation(s)
- Tung-Hung Su
- Division of Gastroenterology and Hepatology, Department of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan; Hepatitis Research Center, National Taiwan University Hospital, Taipei, Taiwan
| | - Shang-Chin Huang
- Division of Gastroenterology and Hepatology, Department of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan; Hepatitis Research Center, National Taiwan University Hospital, Taipei, Taiwan; Graduate Institute of Clinical Medicine, National Taiwan University College of Medicine, Taipei, Taiwan; Department of Internal Medicine, National Taiwan University Hospital Bei-Hu Branch, Taipei, Taiwan
| | - Chi-Ling Chen
- Graduate Institute of Clinical Medicine, National Taiwan University College of Medicine, Taipei, Taiwan
| | - Shih-Jer Hsu
- Division of Gastroenterology and Hepatology, Department of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan; Hepatitis Research Center, National Taiwan University Hospital, Taipei, Taiwan
| | - Sih-Han Liao
- National Taiwan University Cancer Center, Taipei, Taiwan
| | - Chun-Ming Hong
- Division of Hospital Medicine, Department of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan
| | - Tai-Chung Tseng
- Hepatitis Research Center, National Taiwan University Hospital, Taipei, Taiwan; Department of Medical Research, National Taiwan University Hospital, Taipei, Taiwan
| | - Chen-Hua Liu
- Division of Gastroenterology and Hepatology, Department of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan; Hepatitis Research Center, National Taiwan University Hospital, Taipei, Taiwan
| | - Hung-Chih Yang
- Division of Gastroenterology and Hepatology, Department of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan
| | - Yao-Ming Wu
- Department of Surgery, National Taiwan University College of Medicine, Taipei, Taiwan
| | - Chun-Jen Liu
- Division of Gastroenterology and Hepatology, Department of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan; Hepatitis Research Center, National Taiwan University Hospital, Taipei, Taiwan; Graduate Institute of Clinical Medicine, National Taiwan University College of Medicine, Taipei, Taiwan
| | - Pei-Jer Chen
- Division of Gastroenterology and Hepatology, Department of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan; Hepatitis Research Center, National Taiwan University Hospital, Taipei, Taiwan; Graduate Institute of Clinical Medicine, National Taiwan University College of Medicine, Taipei, Taiwan; Department of Medical Research, National Taiwan University Hospital, Taipei, Taiwan
| | - Jia-Horng Kao
- Division of Gastroenterology and Hepatology, Department of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan; Hepatitis Research Center, National Taiwan University Hospital, Taipei, Taiwan; Graduate Institute of Clinical Medicine, National Taiwan University College of Medicine, Taipei, Taiwan; Department of Medical Research, National Taiwan University Hospital, Taipei, Taiwan.
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Hou Y, Yu H, Zhang Q, Yang Y, Liu X, Wang X, Jiang Y. Machine learning-based model for predicting the esophagogastric variceal bleeding risk in liver cirrhosis patients. Diagn Pathol 2023; 18:29. [PMID: 36823660 PMCID: PMC9948468 DOI: 10.1186/s13000-023-01293-0] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2022] [Accepted: 01/13/2023] [Indexed: 02/25/2023] Open
Abstract
BACKGROUND Liver cirrhosis patients are at risk for esophagogastric variceal bleeding (EGVB). Herein, we aimed to estimate the EGVB risk in patients with liver cirrhosis using an artificial neural network (ANN). METHODS We included 999 liver cirrhosis patients hospitalized at the Beijing Ditan Hospital, Capital Medical University in the training cohort and 101 patients from Shuguang Hospital in the validation cohort. The factors independently affecting EGVB occurrence were determined via univariate analysis and used to develop an ANN model. RESULTS The 1-year cumulative EGVB incidence rates were 11.9 and 11.9% in the training and validation groups, respectively. A total of 12 independent risk factors, including gender, drinking and smoking history, decompensation, ascites, location and size of varices, alanine aminotransferase (ALT), γ-glutamyl transferase (GGT), hematocrit (HCT) and neutrophil-lymphocyte ratio (NLR) levels as well as red blood cell (RBC) count were evaluated and used to establish the ANN model, which estimated the 1-year EGVB risk. The ANN model had an area under the curve (AUC) of 0.959, which was significantly higher than the AUC for the North Italian Endoscopic Club (NIEC) (0.669) and revised North Italian Endoscopic Club (Rev-NIEC) indices (0.725) (all P < 0.001). Decision curve analyses revealed improved net benefits of the ANN compared to the NIEC and Rev-NIEC indices. CONCLUSIONS The ANN model accurately predicted the 1-year risk for EGVB in liver cirrhosis patients and might be used as a basis for risk-based EGVB surveillance strategies.
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Affiliation(s)
- Yixin Hou
- grid.24696.3f0000 0004 0369 153XCenter of Integrative Medicine, Beijing Ditan Hospital, Capital Medical University, No. 8 Jingshun East Road, Beijing, 100051 China
| | - Hao Yu
- grid.24696.3f0000 0004 0369 153XCenter of Integrative Medicine, Beijing Ditan Hospital, Capital Medical University, No. 8 Jingshun East Road, Beijing, 100051 China
| | - Qun Zhang
- grid.24696.3f0000 0004 0369 153XCenter of Integrative Medicine, Beijing Ditan Hospital, Capital Medical University, No. 8 Jingshun East Road, Beijing, 100051 China
| | - Yuying Yang
- grid.412585.f0000 0004 0604 8558Institute of Liver Diseases, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Xiaoli Liu
- grid.24696.3f0000 0004 0369 153XCenter of Integrative Medicine, Beijing Ditan Hospital, Capital Medical University, No. 8 Jingshun East Road, Beijing, 100051 China
| | - Xianbo Wang
- Center of Integrative Medicine, Beijing Ditan Hospital, Capital Medical University, No. 8 Jingshun East Road, Beijing, 100051, China.
| | - Yuyong Jiang
- Center of Integrative Medicine, Beijing Ditan Hospital, Capital Medical University, No. 8 Jingshun East Road, Beijing, 100051, China.
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Giuffrè M, Zuliani E, Visintin A, Tarchi P, Martingano P, Pizzolato R, Bonazza D, Masutti F, Moretti R, Crocè LS. Predictors of Hepatocellular Carcinoma Early Recurrence in Patients Treated with Surgical Resection or Ablation Treatment: A Single-Center Experience. Diagnostics (Basel) 2022; 12:diagnostics12102517. [PMID: 36292205 PMCID: PMC9600725 DOI: 10.3390/diagnostics12102517] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2022] [Revised: 10/07/2022] [Accepted: 10/15/2022] [Indexed: 01/27/2023] Open
Abstract
Introduction: Hepatocellular carcinoma (HCC) is the sixth most diagnosed malignancy and the fourth leading cause of cancer-related death worldwide, with poor overall survival despite available curative treatments. One of the most crucial factors influencing survival in HCC is recurrence. The current study aims to determine factors associated with early recurrence of HCC in patients with BCLC Stage 0 or Stage A treated with surgical resection or local ablation. Materials and Methods: We retrospectively enrolled 58 consecutive patients diagnosed with HCC within BCLC Stage 0 or Stage A and treated either by surgical resection or local ablation with maximum nodule diameter < 50 mm. In the first year of follow-up after treatment, imaging was performed regularly one month after treatment and then every three months. Each case was discussed collectively by the Liver Multidisciplinary Group to decide diagnosis, treatment, follow-up, and disease recurrence. Variables resulting in statistically significant difference were then studied by Cox regression analysis; univariately and then multivariately based on forward stepwise Cox regression. Results are represented in hazard ratio (H.R.) with 95% confidence interval (C.I.). Results: There was no statistically significant difference in recurrence rates (34.8 vs. 45.7%, log-rank test, p = 0.274) between patients undergoing surgical resection and local ablation, respectively. Early recurrence was associated with male gender (HR 2.5, 95% C.I. 1.9−3.1), nodule diameter > 20 mm (HR 4.5, 95% C.I. 3.9−5.1), platelet count < 125 × 103 cell/mm3 (HR 1.6, 95% C.I. 1.2−1.9), platelet-lymphocyte ratio < 95 (HR 2.1, 95% C.I. 1.7−2.6), lymphocyte-monocyte ratio < 2.5 (HR 1.9, 95% C.I. 1.4−2.5), and neutrophil-lymphocyte ratio > 2 (HR 2.7, 95% C.I. 2.2−3.3). Discussion and Conclusions: Our results are in line with the current literature. Male gender and tumor nodule dimension are the main risk factors associated with early HCC recurrence. Platelet count and other combined scores can be used as predictive tools for early HCC recurrence, although more studies are needed to define cut-offs.
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Affiliation(s)
- Mauro Giuffrè
- Department of Medical, Surgical and Health Sciences, University of Trieste, 341349 Trieste, Italy
- Correspondence:
| | - Enrico Zuliani
- Department of Medical, Surgical and Health Sciences, University of Trieste, 341349 Trieste, Italy
| | - Alessia Visintin
- Liver Clinic, University Hospital of Trieste (Azienda Sanitaria Giuliano-Isontina), 34149 Trieste, Italy
| | - Paola Tarchi
- Surgical Clinic, University Hospital of Trieste (Azienda Sanitaria Giuliano-Isontina), 34149 Trieste, Italy
| | - Paola Martingano
- Diagnostic and Interventional Radiology, University Hospital of Trieste (Azienda Sanitaria Giuliano-Isontina), 34149 Trieste, Italy
| | - Riccardo Pizzolato
- Diagnostic and Interventional Radiology, University Hospital of Trieste (Azienda Sanitaria Giuliano-Isontina), 34149 Trieste, Italy
| | - Deborah Bonazza
- Anatomic Pathology and Histology, University Hospital of Trieste (Azienda Sanitaria Giuliano-Isontina), 34149 Trieste, Italy
| | - Flora Masutti
- Liver Clinic, University Hospital of Trieste (Azienda Sanitaria Giuliano-Isontina), 34149 Trieste, Italy
| | - Rita Moretti
- Department of Medical, Surgical and Health Sciences, University of Trieste, 341349 Trieste, Italy
| | - Lory Saveria Crocè
- Department of Medical, Surgical and Health Sciences, University of Trieste, 341349 Trieste, Italy
- Liver Clinic, University Hospital of Trieste (Azienda Sanitaria Giuliano-Isontina), 34149 Trieste, Italy
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Chong H, Gong Y, Pan X, Liu A, Chen L, Yang C, Zeng M. Peritumoral Dilation Radiomics of Gadoxetate Disodium-Enhanced MRI Excellently Predicts Early Recurrence of Hepatocellular Carcinoma without Macrovascular Invasion After Hepatectomy. J Hepatocell Carcinoma 2021; 8:545-563. [PMID: 34136422 PMCID: PMC8200148 DOI: 10.2147/jhc.s309570] [Citation(s) in RCA: 27] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2021] [Accepted: 05/06/2021] [Indexed: 01/27/2023] Open
Abstract
Background Whether peritumoral dilation radiomics can excellently predict early recrudescence (≤2 years) in hepatocellular carcinoma (HCC) remains unclear. Methods Between March 2012 and June 2018, 323 pathologically confirmed HCC patients without macrovascular invasion, who underwent liver resection and preoperative gadoxetate disodium (Gd-EOB-DTPA) MRI, were consecutively recruited into this study. Multivariate logistic regression identified independent clinicoradiologic predictors of 2-year recrudescence. Peritumoral dilation (tumor and peritumoral zones within 1cm) radiomics extracted features from 7-sequence images for modeling and achieved average but robust predictive performance through 5-fold cross validation. Independent clinicoradiologic predictors were then incorporated with the radiomics model for constructing a comprehensive nomogram. The predictive discrimination was quantified with the area under the receiver operating characteristic curve (AUC) and net reclassification improvement (NRI). Results With the median recurrence-free survival (RFS) reaching 60.43 months, 28.2% (91/323) and 16.4% (53/323) patients suffered from early and delay relapse, respectively. Microvascular invasion, tumor size >5 cm, alanine aminotransferase >50 U/L, γ-glutamyltransferase >60 U/L, prealbumin ≤250 mg/L, and peritumoral enhancement independently impaired 2-year RFS in the clinicoradiologic model with AUC of 0.694 (95% CI 0.628–0.760). Nevertheless, these indexes were paucity of robustness (P >0.05) when integrating with 38 most recurrence-related radiomics signatures for developing the comprehensive nomogram. The peritumoral dilation radiomics—the ultimate prediction model yielded satisfactory mean AUCs (training cohort: 0.939, 95% CI 0.908–0.973; validation cohort: 0.842, 95% CI 0.736–0.951) after 5-fold cross validation and fitted well with the actual relapse status in the calibration curve. Besides, our radiomics model obtained the best clinical net benefits, with significant improvements of NRI (35.9%-66.1%, P <0.001) versus five clinical algorithms: the clinicoradiologic model, the tumor-node-metastasis classification, the Barcelona Clinic Liver Cancer stage, the preoperative and postoperative risks of Early Recurrence After Surgery for Liver tumor. Conclusion Gd-EOB-DTPA MRI-based peritumoral dilation radiomics is a potential preoperative biomarker for early recurrence of HCC patients without macrovascular invasion.
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Affiliation(s)
- Huanhuan Chong
- Department of Radiology, Zhongshan Hospital, Fudan University, Shanghai, 200032, People's Republic of China.,Shanghai Institute of Medical Imaging, Shanghai, 200032, People's Republic of China
| | - Yuda Gong
- Department of General Surgery, Zhongshan Hospital, Fudan University, Shanghai, 200032, People's Republic of China
| | - Xianpan Pan
- Shanghai United Imaging Intelligence Co., Ltd, Shanghai, 200232, People's Republic of China
| | - Aie Liu
- Shanghai United Imaging Intelligence Co., Ltd, Shanghai, 200232, People's Republic of China
| | - Lei Chen
- Shanghai United Imaging Intelligence Co., Ltd, Shanghai, 200232, People's Republic of China
| | - Chun Yang
- Department of Radiology, Zhongshan Hospital, Fudan University, Shanghai, 200032, People's Republic of China
| | - Mengsu Zeng
- Department of Radiology, Zhongshan Hospital, Fudan University, Shanghai, 200032, People's Republic of China.,Shanghai Institute of Medical Imaging, Shanghai, 200032, People's Republic of China.,Department of Medical Imaging, Shanghai Medical College, Fudan University, Shanghai, 200032, People's Republic of China
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MiR-139-5p influences hepatocellular carcinoma cell invasion and proliferation capacities via decreasing SLITRK4 expression. Biosci Rep 2021; 40:222640. [PMID: 32285917 PMCID: PMC7199452 DOI: 10.1042/bsr20193295] [Citation(s) in RCA: 23] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2019] [Revised: 02/29/2020] [Accepted: 04/03/2020] [Indexed: 02/06/2023] Open
Abstract
The microRNA, miR-139-5p, has been proved to play important roles in regulating tumor progression, including prostate cancer, osteosarcoma, esophageal cancer, and so on, but its correlation of hepatocellular carcinoma (HCC) still remains unclear. Here we found that hsa-miR-139-5p (miR-139-5p) was decreased in HCC samples compared with normal liver tissues, and a lower expression of miR-139-5p was connected to a poorer prognosis. Mechanism study indicated that a decreased/increased miR-139-5p could increase/decrease HCC cells invasion and proliferation capacities via increasing SLITRK4 expression, what’s more, the reverse assays also confirmed the conclusion when we knocked down SLITRK4 in the miR-139-5p low-expression cells. Luciferase assay confirmed that miR-139-5p could directly bind to the 3′UTR of SLITRK4 mRNA to regulate its expression. Together, these findings show the importance of miR-139-5p/SLITRK4 pathway in HCC growth and progression and may provide new targets for us to better arrange the progression of HCC.
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Liu X, Hou Y, Wang X, Yu L, Wang X, Jiang L, Yang Z. Machine learning-based development and validation of a scoring system for progression-free survival in liver cancer. Hepatol Int 2020; 14:567-576. [DOI: 10.1007/s12072-020-10046-w] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/30/2019] [Accepted: 04/10/2020] [Indexed: 01/01/2023]
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