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Zeng X, Tao H, Dong Y, Zhang Y, Yang J, Xuan F, Zhou J, Jia W, Liu J, Dai C, Hu H, Xiang N, Zeng N, Zhou W, Lau W, Yang J, Fang C. Impact of three-dimensional reconstruction visualization technology on short-term and long-term outcomes after hepatectomy in patients with hepatocellular carcinoma: a propensity-score-matched and inverse probability of treatment-weighted multicenter study. Int J Surg 2024; 110:1663-1676. [PMID: 38241321 PMCID: PMC10942183 DOI: 10.1097/js9.0000000000001047] [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: 10/06/2023] [Accepted: 12/20/2023] [Indexed: 01/21/2024]
Abstract
BACKGROUND Three-dimensional reconstruction visualization technology (3D-RVT) is an important tool in the preoperative assessment of patients undergoing liver resection. However, it is not clear whether this technique can improve short-term and long-term outcomes in patients with hepatocellular carcinoma (HCC) compared with two-dimensional (2D) imaging. METHOD A total of 3402 patients from five centers were consecutively enrolled from January 2016 to December 2020, and grouped based on the use of 3D-RVT or 2D imaging for preoperative assessment. Baseline characteristics were balanced using propensity score matching (PSM, 1:1) and stabilized inverse probability of treatment-weighting (IPTW) to reduce potential selection bias. The perioperative outcomes, long-term overall survival (OS), and recurrence-free survival (RFS) were compared between the two groups. Cox-regression analysis was used to identify the risk factors associated with RFS. RESULTS A total of 1681 patients underwent 3D-RVT assessment before hepatectomy (3D group), while 1721 patients used 2D assessment (2D group). The PSM cohort included 892 patient pairs. In the IPTW cohort, there were 1608.3 patients in the 3D group and 1777.9 patients in the 2D group. In both cohorts, the 3D group had shorter operation times, lower morbidity and liver failure rates, as well as shorter postoperative hospital stays. The 3D group had more margins ≥10 mm and better RFS than the 2D group. The presence of tumors with a diameter ≥5 cm, intraoperative blood transfusion and multiple tumors were identified as independent risk factors for RFS, while 3D assessment and anatomical resection were independent protective factors. CONCLUSION In this multicenter study, perioperative outcomes and RFS of HCC patients following 3D-RVT assessment were significantly different from those following 2D imaging assessment. Thus, 3D-RVT may be a feasible alternative assessment method before hepatectomy for these patients.
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Affiliation(s)
- Xiaojun Zeng
- Department of Hepatobiliary Surgery, Zhujiang Hospital
- Guangdong Provincial Clinical and Engineering Center of Digital Medicine, Guangzhou
| | - Haisu Tao
- Department of Hepatobiliary Surgery, Zhujiang Hospital
- Guangdong Provincial Clinical and Engineering Center of Digital Medicine, Guangzhou
| | - Yanchen Dong
- School of Traditional Chinese Medicine, Southern Medical University
| | - Yuwei Zhang
- Department of Hepatobiliary Surgery, Zhujiang Hospital
- Guangdong Provincial Clinical and Engineering Center of Digital Medicine, Guangzhou
| | - Junying Yang
- Department of Hepatobiliary Surgery, Zhujiang Hospital
- Guangdong Provincial Clinical and Engineering Center of Digital Medicine, Guangzhou
| | - Feichao Xuan
- Department of Hepatobiliary Surgery, Zhujiang Hospital
- Guangdong Provincial Clinical and Engineering Center of Digital Medicine, Guangzhou
| | - Jian Zhou
- Department of Liver Surgery, Zhongshan Hospital, Fudan University
| | - Weidong Jia
- Department of Hepatobiliary Surgery, The First Affiliated Hospital of USTC, University of Science and Technology of China, Hefei
| | - Jingfeng Liu
- Liver Department, Mengchao Hepatobiliary Hospital of Fujian Medical University, Fuzhou
| | - Chaoliu Dai
- Department of the Second General Surgery, Shengjing Hospital of China Medical University, Shenyang
| | - Haoyu Hu
- Department of Hepatobiliary Surgery, Zhujiang Hospital
- Guangdong Provincial Clinical and Engineering Center of Digital Medicine, Guangzhou
| | - Nan Xiang
- Department of Hepatobiliary Surgery, Zhujiang Hospital
- Guangdong Provincial Clinical and Engineering Center of Digital Medicine, Guangzhou
| | - Ning Zeng
- Department of Hepatobiliary Surgery, Zhujiang Hospital
- Guangdong Provincial Clinical and Engineering Center of Digital Medicine, Guangzhou
| | - Weiping Zhou
- The Third Department of Hepatic Surgery, Eastern Hepatobiliary Surgery Hospital, Shanghai
| | - Wanyee Lau
- Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong, People’s Republic of China
| | - Jian Yang
- Department of Hepatobiliary Surgery, Zhujiang Hospital
- Guangdong Provincial Clinical and Engineering Center of Digital Medicine, Guangzhou
| | - Chihua Fang
- Department of Hepatobiliary Surgery, Zhujiang Hospital
- Guangdong Provincial Clinical and Engineering Center of Digital Medicine, Guangzhou
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Shi W, Wang J, Gao J, Zou X, Dong Q, Huang Z, Sheng J, Guan C, Xu Y, Cui Y, Zhong X. Utilization of 3D printing technology in hepatopancreatobiliary surgery. J Zhejiang Univ Sci B 2024; 25:123-134. [PMID: 38303496 PMCID: PMC10835207 DOI: 10.1631/jzus.b2300175] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2023] [Accepted: 07/23/2023] [Indexed: 02/03/2024]
Abstract
The technology of three-dimensional (3D) printing emerged in the late 1970s and has since undergone considerable development to find numerous applications in mechanical engineering, industrial design, and biomedicine. In biomedical science, several studies have initially found that 3D printing technology can play an important role in the treatment of diseases in hepatopancreatobiliary surgery. For example, 3D printing technology has been applied to create detailed anatomical models of disease organs for preoperative personalized surgical strategies, surgical simulation, intraoperative navigation, medical training, and patient education. Moreover, cancer models have been created using 3D printing technology for the research and selection of chemotherapy drugs. With the aim to clarify the development and application of 3D printing technology in hepatopancreatobiliary surgery, we introduce seven common types of 3D printing technology and review the status of research and application of 3D printing technology in the field of hepatopancreatobiliary surgery.
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Affiliation(s)
- Wujiang Shi
- Department of Hepatopancreatobiliary Surgery, the Second Affiliated Hospital of Harbin Medical University, Harbin 150086, China
| | - Jiangang Wang
- Department of General Surgery, Tangdu Hospital, Air Force Medical University, Xian 710032, China
| | - Jianjun Gao
- Department of Hepatopancreatobiliary Surgery, the Second Affiliated Hospital of Harbin Medical University, Harbin 150086, China
| | - Xinlei Zou
- Department of Hepatopancreatobiliary Surgery, the Second Affiliated Hospital of Harbin Medical University, Harbin 150086, China
| | - Qingfu Dong
- Department of Hepatopancreatobiliary Surgery, the Second Affiliated Hospital of Harbin Medical University, Harbin 150086, China
| | - Ziyue Huang
- Department of Hepatopancreatobiliary Surgery, the Second Affiliated Hospital of Harbin Medical University, Harbin 150086, China
| | - Jialin Sheng
- Department of Hepatopancreatobiliary Surgery, the Second Affiliated Hospital of Harbin Medical University, Harbin 150086, China
| | - Canghai Guan
- Department of Hepatopancreatobiliary Surgery, the Second Affiliated Hospital of Harbin Medical University, Harbin 150086, China
| | - Yi Xu
- Department of Hepatopancreatobiliary Surgery, the Second Affiliated Hospital of Harbin Medical University, Harbin 150086, China. ,
- Key Laboratory of Basic Pharmacology of Ministry of Education, Zunyi Medical University, Zunyi 563006, China. ,
- Key Laboratory of Functional and Clinical Translational Medicine, Fujian Province University, Xiamen Medical College, Xiamen 361000, China. ,
- Department of Pathology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China. ,
- Jiangsu Province Engineering Research Center of Tumor Targeted Nano Diagnostic and Therapeutic Materials, Yancheng Teachers University, Yancheng 224007, China. ,
- Key Laboratory of Biomarkers and In Vitro Diagnosis Translation of Zhejiang Province, Hangzhou 310053, China. ,
- Key Laboratory of Gastrointestinal Cancer (Fujian Medical University), Ministry of Education, School of Basic Medical Sciences, Fujian Medical University, Fuzhou 350122, China. ,
- Key Laboratory of Myocardial Ischemia, Harbin Medical University, Ministry of Education, Harbin 150086, China. ,
| | - Yunfu Cui
- Department of Hepatopancreatobiliary Surgery, the Second Affiliated Hospital of Harbin Medical University, Harbin 150086, China. ,
| | - Xiangyu Zhong
- Department of Hepatopancreatobiliary Surgery, the Second Affiliated Hospital of Harbin Medical University, Harbin 150086, China.
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Karmarkar R, Benjafield A, Aroori S. The Role of Colour Segmented Fluorescence (CSF) Mode and Same-day Administration of Low-dose Indocyanine Green in Liver Surgery: Our Initial Experience : Indocyanine Green Fluorescence Guided Resection of Liver Tumours. J Fluoresc 2023:10.1007/s10895-023-03434-6. [PMID: 37713013 DOI: 10.1007/s10895-023-03434-6] [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: 07/27/2023] [Accepted: 09/05/2023] [Indexed: 09/16/2023]
Abstract
Indocyanine green (ICG) fluorescence image guidance (I-FIGS) is increasingly used in liver surgery. Several regimens have been described regarding the optimum timing and dose of administration. This study presents our early experience with utilising monochromatic Colour Segmented Fluorescence (CSF)-mode and same-day administration of low-dose-ICG in the resection of liver tumours. Between November 2020 and March 2022, I-FIGS was used in 15 patients with suspected liver tumours. ICG was administered intravenously at 0.02 to 0.05 mg/kg dose 2-3 h before surgery. ICG camera was switched to CSF-grey-scale mode to visualise the tumour and to avoid the interference of the green background liver. Using the SPY-CSF mode, the image was scaled to near-infra-red (NIR) fluorescence intensity to accurately identify the tumours and resection margins. Fifteen patients (eight males) with a median age of 71 years (range: 36-86) underwent I-FIGS. Of these, 67% underwent laparoscopic liver surgery, 78% had non-anatomical resections, and 33% underwent redo liver surgery. The mean tumour size was 40.6 mm (SD+/-41 mm). The median number of tumours was two (1-7). All colorectal liver metastases (CRLM) had a signet ring appearance. Hepatocellular carcinomas (HCC) showed partial fluorescence. Tumours were well/moderately differentiated, with CRLM in 86% and HCC in two patients. The R0 resection rate was 72%. In our experience, low-dose-ICG administered at least 2-3 h before surgery can identify liver tumours and their margins in CSF-grey-scale mode. Further research is needed to evaluate its role in reducing R1 resection rates and surgical outcomes.
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Affiliation(s)
- Rahi Karmarkar
- Peninsula HPB Unit, University Hospitals Plymouth NHS Trust & University of Plymouth, Plymouth, UK
- Doctoral College, Faculty of Health, University of Plymouth, Plymouth, UK
| | - Anastasia Benjafield
- Peninsula HPB Unit, University Hospitals Plymouth NHS Trust & University of Plymouth, Plymouth, UK
| | - Somaiah Aroori
- Peninsula HPB Unit, University Hospitals Plymouth NHS Trust & University of Plymouth, Plymouth, UK.
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Zhang J, Zhang P, Cao J. Safety and efficacy of precision hepatectomy in the treatment of primary liver cancer. BMC Surg 2023; 23:241. [PMID: 37592238 PMCID: PMC10433537 DOI: 10.1186/s12893-023-02148-7] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2023] [Accepted: 08/10/2023] [Indexed: 08/19/2023] Open
Abstract
BACKGROUND The aim of this study was to investigate the safety and efficacy of precision hepatectomy in the treatment of primary liver cancer. METHODS An randomized controlled trial of 98 patients with primary liver cancer admitted to our hospital from February 2020 to February 2021 were analyzed for the study, and they were divided into 49 cases each in the control group (conventional hepatectomy) and the study group (precision hepatectomy) according to the different surgical methods. The surgical condition, complications and follow-up results of the two groups were counted, and the liver function and immune function of the two groups were observed before and 1 week after surgery. RESULTS The operation time, intraoperative bleeding, hospitalization time and anal venting time in the study group were less than those in the control group (P < 0.05). One week after surgery, AST, TBiL, ALT and ALB levels decreased, with in the study group significantly higher than those in the control group (P < 0.05); CD4+, CD3 + and CD4+/CD8 + levels were significantly higher in the study group (P < 0.05). The incidence of complications in the study group was significantly lower than that in the control group (P < 0.05). After 2 years of follow-up, the recurrence rate and mortality rate of the study group were lower than those of the control group (P < 0.05); the difference was not statistically significant when comparing the metastasis rate between the two groups (P > 0.05). CONCLUSION Precision hepatectomy can effectively treat primary liver cancer with high safety and could be promoted in clinical practice.
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Affiliation(s)
- Junhong Zhang
- Department of Hepatobiliary Surgery, The Third Hospital of Hebei Medical University, No. 139 Zi Qiang Road, Shijiazhuang, 050000, Hebei Province, China
| | - Pengfei Zhang
- Department of Hepatobiliary Surgery, The Third Hospital of Hebei Medical University, No. 139 Zi Qiang Road, Shijiazhuang, 050000, Hebei Province, China
| | - Jinglin Cao
- Department of Hepatobiliary Surgery, The Third Hospital of Hebei Medical University, No. 139 Zi Qiang Road, Shijiazhuang, 050000, Hebei Province, China.
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Efficacy evaluation and prognostic risk factors analysis of precise hepatectomy in the treatment of intermediate and advanced hepatocellular carcinoma. Eur J Gastroenterol Hepatol 2023; 35:120-126. [PMID: 36468576 DOI: 10.1097/meg.0000000000002460] [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] [Indexed: 12/10/2022]
Abstract
BACKGROUND To investigate the efficacy of precise hepatectomy in the treatment of patients with intermediate and advanced hepatocellular carcinoma and analyze the risk factors affecting prognosis. METHODS Totally 104 patients with intermediate and advanced hepatocellular carcinoma from January 2018 to January 2019 were enrolled in this retrospective analysis. Of these, four patients lost to follow-up. Logistic regression was conducted to explore the odds ratio (OR) and 95% confidence interval (CI). RESULTS Compared with the control group, the precise hepatectomy decreased intraoperative blood loss (331.2928.91 to 203.29 ± 29.34 ml), operation time (198.29 ± 19.38 to 150.28 ± 18.27 min), perioperative blood transfusion volume (376.22 ± 25.93 to 228.29 ± 22.19 ml) (all P < 0.001). Logistic regression analysis of study group showed that hepatitis B infection (OR = 1.746; 95% CI, 1.068-2.976), P = 0.021, Child-Pugh classification (OR = 2.319; 95% CI, 1.428-3.213), P < 0.001, Eastern Cooperative Oncology Group (ECOG) score (OR = 2.287; 95% CI, 1.098-3.876; P = 0.013) and Barcelona-Clinic Liver Cancer (BCLC) staging (OR = 2.029; 95% CI, 1.086-3.671; P = 0.022) were independent risk factors for prognosis of the precise hepatectomy. CONCLUSION Hepatitis B virus infection, Child-Pugh grade, ECOG score and BCLC staging grade were the independent risk factors affecting the prognosis of precise hepatectomy.
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Tonini V, Vigutto G, Donati R. Liver surgery for colorectal metastasis: New paths and new goals with the help of artificial intelligence. Artif Intell Gastroenterol 2022; 3:28-35. [DOI: 10.35712/aig.v3.i2.28] [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: 12/20/2021] [Revised: 03/28/2022] [Accepted: 04/19/2022] [Indexed: 02/06/2023] Open
Abstract
Colorectal cancer is one of the most common neoplasia with an high risk to metastatic spread. Improving medical and surgical treatment is moving along with improving the precision of diagnosis and patient's assessment, the latter two aided more and more with the use of artificial intelligence (AI). The management of colorectal liver metastasis is multidisciplinary, and surgery is the main option. After the diagnosis, a surgical assessment of the patient is fundamental. Reaching a R0 resection with a proper remnant liver volume can be done using new techniques involving also artificial intelligence. Considering the recent application of artificial intelligence as a valid substitute for liver biopsy in chronic liver diseases, several authors tried to apply similar techniques to pre-operative imaging of liver metastasis. Radiomics showed good results in identifying structural changes in a unhealthy liver and in evaluating the prognosis after a liver resection. Recently deep learning has been successfully applied in estimating the remnant liver volume before surgery. Moreover AI techniques can help surgeons to perform an early diagnosis of neoplastic relapse or a better differentiation between a colorectal metastasis and a benign lesion. AI could be applied also in the histopathological diagnostic tool. Although AI implementation is still partially automatized, it appears faster and more precise than the usual diagnostic tools and, in the short future, could become the new gold standard in liver surgery.
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Affiliation(s)
- Valeria Tonini
- Department of Medical and Surgical Sciences, Sant' Orsola Hospital University of Bologna, Bologna 40138, Italy
| | - Gabriele Vigutto
- Department of Medical and Surgical Sciences, St Orsola Hospital, University of Bologna, Bologna 40138, Italy
| | - Riccardo Donati
- Department of Electrical, Electronic and Information Engineering ”Guglielmo Marconi” (DEI), University of Bologna, Bologna 40138, Italy
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Aju D., Joseph SS. 3D Reconstruction Methods Purporting 3D Visualization and Volume Estimation of Brain Tumors. INTERNATIONAL JOURNAL OF E-COLLABORATION 2022. [DOI: 10.4018/ijec.290296] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
This work proposes the Crust algorithm for 3D reconstruction of brain tumor, an effective mechanism in the visualization of tumors for presurgical planning, radiation dose calculation. Despite the promising performance of Crust algorithm in reconstruction of Stanford models, it has not yet been considered in 3D reconstruction of brain tumor. Validation of the results is done using the comparison of the 3D models from two cutting edge techniques namely the Marching Cube and the Alpha shape algorithm. The obtained result shows that Crust algorithm provides the brain tumor model with an average quality of triangle meshes ranging from 0.85 to 0.95. Concerning the visual realism, the quality of Crust algorithm models is higher on comparison to the other models. Precision of tumor volume measurement by convex hull method is analysed by repeatability and reproducibility. The standard deviations of repeatability were between 2.03 % and 3.97 %. The experimental results show that Linear Crust algorithm produces high quality meshes with average quality of equilateral triangles close to 1.
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Affiliation(s)
- Aju D.
- Vellore Institute of Technology, India
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Hu Y, Fu T, Zhang Z, Hua L, Zhao Q, Zhang W. Does application of indocyanine green fluorescence imaging enhance clinical outcomes in liver resection? A meta-analysis. Photodiagnosis Photodyn Ther 2021; 36:102554. [PMID: 34597831 DOI: 10.1016/j.pdpdt.2021.102554] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2021] [Revised: 09/18/2021] [Accepted: 09/24/2021] [Indexed: 12/17/2022]
Abstract
BACKGROUND Indocyanine green fluorescence imaging technology has been widely used in liver resection. However, there has been a lack of strong evidence on whether application of indocyanine green fluorescence imaging enhances clinical outcomes in liver resection. This meta-analysis was performed to compare the latest clinical results of indocyanine green fluorescence imaging-guided hepatectomy (FIGH) and conventional hepatectomy (CH) in liver diseases. METHODS Relevant clinical studies were retrieved from PubMed, Embase, Cochrane Library, Medline and the Web of Science databases until June 21, 2021. Stata14.0 software was adopted in meta-analysis, in which the pooled effect size was calculated by the random-effects model or the fixed-effects model. Meta-regression and subgroup analysis were used to explore sources of heterogeneity. The publication bias was ascertained by egger's test and begg's test. The trim and fill method was used to adjust the occurrence of publication bias. RESULTS Overall twelve studies comprising 931 patients were included. Compared to the CH group, the FIGH group has lower complications (weighted mean difference [WMD] = 0.5238; 95% CI = 0.351-0.780; P = 0.001), shorter hospital stays (WMD = -1.857; 95% CI = -2.806--0.908; P = 0.000). Six of the studies indicated that no perioperative mortality occurred in either group. In overall analysis, there was no statistical difference in the estimated blood loss between the two groups (WMD = -42.509; 95% CI = -87.842 -2.825; P = 0.066), while in subgroup analysis of only literature from Japan or published between 2018 and 2019 years showed the consistent results above (WMD = 5.613; 95% CI = -45.101-56.328; P = 0.828. WMD = 5.582; 95% CI = -34.597-45.762; P = 0.785). No significant differences were found in operative time, blood transfusion rate, R0 resection, 1-year recurrence rate, 2-year-recurrence rate and the 1-year overall survival rate (P > 0.05). CONCLUSION This meta-analysis showed that during the liver resection operation, application of indocyanine green fluorescence imaging is a feasible and safe method in the treatment of liver diseases, which enhances some clinical outcomes, such as lower complications and shorter hospital stays.
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Affiliation(s)
- Yingnan Hu
- The Second Clinical Medical College of Zhejiang Chinese Medical University, Hangzhou 310053, China.
| | - Tianxiao Fu
- The First Affiliated Hospital of Zhejiang University, Hangzhou 310014, China
| | - Zhe Zhang
- Department of General Surgery, Tongde Hospital of Zhejiang Province, Hangzhou 310012, China
| | - Lin Hua
- Department of Emergency Surgery, The First Affiliated Hospital of Zhejiang Chinese Medical University, Hangzhou 310006, China
| | - Qiming Zhao
- Department of Urology Surgery, Zhejiang Xiaoshan Hospital, Hangzhou 311202, China
| | - Wei Zhang
- Department of General Surgery, The Second Affiliated Hospital of Zhejiang Chinese Medical University, Hangzhou 310005, China.
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Chen Z, Cai M, Wang X, Zhou Y, Chen J, Xie Q, Zhao Y, Xie K, Fang Q, Pu T, Jiang D, Bai T, Ma J, Geng X, Liu F. Two novel online nomograms for predicting the survival of individual patients undergoing partial hepatectomy for huge hepatocellular carcinoma. HPB (Oxford) 2021; 23:1217-1229. [PMID: 33413992 DOI: 10.1016/j.hpb.2020.12.002] [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: 09/28/2020] [Revised: 11/12/2020] [Accepted: 12/01/2020] [Indexed: 12/12/2022]
Abstract
BACKGROUND A method for predicting prognosis of patients who undergo partial hepatectomy for huge hepatocellular carcinoma (HHCC, diameter ≥10 cm) is currently lacking. This study aimed to establish two online nomograms to predict the overall survival (OS) and disease-free survival (DFS) for patients undergoing resection for HHCC. METHODS The clinicopathologic characteristics and follow-up information of patients who underwent partial hepatectomy for HHCC at two medical centers were reviewed. Using a training cohort, a Cox model was used to identify the predictors of survival. Two dynamic nomograms for OS and DFS were developed and validated based on the data. RESULTS Eight and nine independent factors derived from the multivariate analysis of the training cohort were screened and incorporated into the nomograms for OS and DFS, respectively. In the training cohort, the nomogram achieved concordance indices (C-indices) of 0.745 and 0.738 in predicting the OS and DFS, respectively. These results were supported by external validation (C-indices: 0.822 for OS and 0.827 for DFS). Further, the calibration curves of the endpoints showed a favorable agreement between the nomograms' assessments and actual observations. CONCLUSIONS The two web-based nomograms demonstrated optimal predictive performance for patients undergoing partial hepatectomy for HHCC. This provides a practical method for a personalized prognosis based on an individual's underlying risk factors.
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Affiliation(s)
- Zixiang Chen
- Department of Hepatopancreatobiliary Surgery, The First Affiliated Hospital of Anhui Medical University (AHMU), Hefei, 230022, China
| | - Ming Cai
- Department of Hepatopancreatobiliary Surgery, The First Affiliated Hospital of University of Science and Technology of China (USTC), Hefei, 230001, China
| | - Xu Wang
- Department of Hepatopancreatobiliary Surgery, The First Affiliated Hospital of Anhui Medical University (AHMU), Hefei, 230022, China
| | - Yi Zhou
- Department of Hepatopancreatobiliary Surgery, The First Affiliated Hospital of University of Science and Technology of China (USTC), Hefei, 230001, China
| | - Jiangming Chen
- Department of Hepatopancreatobiliary Surgery, The First Affiliated Hospital of Anhui Medical University (AHMU), Hefei, 230022, China
| | - Qingsong Xie
- Department of Hepatopancreatobiliary Surgery, The First Affiliated Hospital of Anhui Medical University (AHMU), Hefei, 230022, China
| | - Yijun Zhao
- Department of Hepatopancreatobiliary Surgery, The First Affiliated Hospital of Anhui Medical University (AHMU), Hefei, 230022, China
| | - Kun Xie
- Department of Hepatopancreatobiliary Surgery, The First Affiliated Hospital of Anhui Medical University (AHMU), Hefei, 230022, China
| | - Qiang Fang
- Department of Hepatopancreatobiliary Surgery, The First Affiliated Hospital of Anhui Medical University (AHMU), Hefei, 230022, China
| | - Tian Pu
- Department of Hepatopancreatobiliary Surgery, The First Affiliated Hospital of Anhui Medical University (AHMU), Hefei, 230022, China
| | - Dong Jiang
- Department of Hepatopancreatobiliary Surgery, The First Affiliated Hospital of Anhui Medical University (AHMU), Hefei, 230022, China
| | - Tao Bai
- Department of Hepatopancreatobiliary Surgery, The First Affiliated Hospital of Anhui Medical University (AHMU), Hefei, 230022, China
| | - Jinliang Ma
- Department of Hepatopancreatobiliary Surgery, The First Affiliated Hospital of University of Science and Technology of China (USTC), Hefei, 230001, China
| | - Xiaoping Geng
- Department of Hepatopancreatobiliary Surgery, The First Affiliated Hospital of Anhui Medical University (AHMU), Hefei, 230022, China
| | - Fubao Liu
- Department of Hepatopancreatobiliary Surgery, The First Affiliated Hospital of Anhui Medical University (AHMU), Hefei, 230022, China.
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Lang Q, Zhong C, Liang Z, Zhang Y, Wu B, Xu F, Cong L, Wu S, Tian Y. Six application scenarios of artificial intelligence in the precise diagnosis and treatment of liver cancer. Artif Intell Rev 2021. [DOI: 10.1007/s10462-021-10023-1] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
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11
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Hu Y, Shen ZH. Practice of precision surgery in primary liver cancer. Hepatobiliary Pancreat Dis Int 2021; 20:108-109. [PMID: 33526404 DOI: 10.1016/j.hbpd.2021.01.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/12/2020] [Accepted: 01/08/2021] [Indexed: 02/05/2023]
Affiliation(s)
- Yun Hu
- Department of Pathology, Huzhou Traditional Chinese Medicine Hospital Affiliated to Zhejiang Chinese Medical University, Huzhou 313000, China
| | - Zhen-Hua Shen
- Department of General Surgery, Huzhou Central Hospital, Huzhou 313003, China.
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