MRI Radiomics Combined with Clinicopathological Factors for Predicting 3-Year Overall Survival of Hepatocellular Carcinoma After Hepatectomy

doi:10.2147/JHC.S464916

科研成果详情

题名	MRI Radiomics Combined with Clinicopathological Factors for Predicting 3-Year Overall Survival of Hepatocellular Carcinoma After Hepatectomy
作者	Kuang, Fangyuan 1,2; Gao, Yang 3; Zhou, Qingyun4; Lu, Chenying3; Lin, Qiaomei4; Al Mamun, Abdullah 5; Pan, Junle6; Shi, Shuibo 7; Tu, Chaoyong 4; Shao, Chuxiao2
发表日期	2024
发表期刊	JOURNAL OF HEPATOCELLULAR CARCINOMA 影响因子和分区
语种	英语
原始文献类型	Article
关键词	hepatocellular carcinoma hepatectomy MRI radiomics
其他关键词	CANCER ; ALPHA
摘要	Background: A limited number of studies have examined the use of radiomics to predict 3-year overall survival (OS) after hepatectomy in patients with hepatocellular carcinoma (HCC). This study develops 3-year OS prediction models for HCC patients after liver resection using MRI radiomics and clinicopathological factors. Materials and Methods: A retrospective analysis of 141 patients who underwent surgical resection of HCC was performed. Patients were randomized into two set: the training set (n=98) and the validation set (n=43) including the survival groups (n=111) and non-survival groups (n=30) based on 3-year survival after hepatectomy. Furthermore, x 2 or Fisher's exact test, univariate and multivariate logistic regression analyses were conducted to determine independent clinicopathological risk factors associated with 3-year OS. 1688 quantitative imaging features were extracted from preoperative T2-weighted imaging (T2WI) and contrast-enhanced magnetic resonance imaging (CE-MRI) of arterial phase (AP), portal venous phases (PVP)and delay period (DP). The features were selected using the variance threshold method, the select K best method and the least absolute shrinkage and selection operator (LASSO) algorithm. By using Bernoulli Naive Bayes (BernoulliNB) and Multinomial Naive Bayes (MultinomialNB) classifiers, we constructed models based on the independent clinicopathological factors and Rad-scores. To determine the best model, receiver operating characteristics (ROC) and Delong's test were used. Moreover, calibration curves were used to determine the calibration ability of the model, while decision curve analysis (DCA) was implemented to evaluate its clinical benefit. Results: The fusion model showed excellent prediction precision with AUC of 0.910 and 0.846 in training and validation set and revealed significant diagnostic accuracy and value in the calibration curve and DCA analysis. Conclusion: Nomograms based on MRI radiomics and clinicopathological factors have significant predictive value for 3-year OS after hepatectomy and can be used for risk classification.
资助项目	Key Research & Development Plan of Zhejiang Province [2024C03171]; Projects of Lishui Key Research and Development Plan in Zhejiang Province [2022ZDYF08]
出版者	DOVE MEDICAL PRESS LTD
ISSN	2253-5969
EISSN	2253-5969
卷号	11 页码:1445-1457
DOI	10.2147/JHC.S464916
页数	13
WOS类目	Oncology
WOS研究方向	Oncology
WOS记录号	WOS:001271926500001
收录类别	SCIE ; SCOPUS ; PUBMED
URL	查看原文
PubMed ID	3905081
SCOPUSEID	2-s2.0-85199500974
通讯作者地址	[Tu, Chaoyong]Wenzhou Med Univ, Affiliated Hosp 5, Dept Hepatopancreatobiliary Surg, 289 Kuocang Rd, Lishui 323000, Zhejiang, Peoples R China.
Scopus学科分类	Oncology;Hepatology
引用统计
文献类型	期刊论文
条目标识符	https://kms.wmu.edu.cn/handle/3ETUA0LF/216737
专题	附属第一医院第一临床医学院（信息与工程学院）、附属第一医院其他_附属第六医院（丽水市人民医院）其他_附属第五医院（丽水市中心医院）
通讯作者	Tu, Chaoyong
作者单位	1.Shaoxing Univ, Sch Med, Shaoxing 312000, Zhejiang, Peoples R China; 2.Lishui Univ, Wenzhou Med Univ, Affiliated Hosp 1, Dept Hepatopancreatobiliary Surg,People Hosp Lishu, Lishui 323000, Zhejiang, Peoples R China; 3.Wenzhou Med Univ, Affiliated Hosp 5, Dept Radiol, Lishui 323000, Zhejiang, Peoples R China; 4.Wenzhou Med Univ, Affiliated Hosp 5, Dept Hepatopancreatobiliary Surg, 289 Kuocang Rd, Lishui 323000, Zhejiang, Peoples R China; 5.Wenzhou Med Univ, Lishui Peoples Hosp, Affiliated Hosp 6, Key Lab Joint Diag & Treatment Chron Liver Dis & L, Lishui 323000, Zhejiang, Peoples R China; 6.Wenzhou Med Univ, Acad Clin Med 1, Wenzhou 325000, Zhejiang, Peoples R China; 7.Nanchang Univ, Clin Med Coll 1, Nanchang 330000, Jiangxi, Peoples R China
第一作者单位	附属第一医院
通讯作者单位	附属第五医院（丽水市中心医院）
推荐引用方式 GB/T 7714	Kuang, Fangyuan,Gao, Yang,Zhou, Qingyun,et al. MRI Radiomics Combined with Clinicopathological Factors for Predicting 3-Year Overall Survival of Hepatocellular Carcinoma After Hepatectomy[J]. JOURNAL OF HEPATOCELLULAR CARCINOMA,2024,11:1445-1457.
APA	Kuang, Fangyuan., Gao, Yang., Zhou, Qingyun., Lu, Chenying., Lin, Qiaomei., ... & Shao, Chuxiao. (2024). MRI Radiomics Combined with Clinicopathological Factors for Predicting 3-Year Overall Survival of Hepatocellular Carcinoma After Hepatectomy. JOURNAL OF HEPATOCELLULAR CARCINOMA, 11, 1445-1457.
MLA	Kuang, Fangyuan,et al."MRI Radiomics Combined with Clinicopathological Factors for Predicting 3-Year Overall Survival of Hepatocellular Carcinoma After Hepatectomy".JOURNAL OF HEPATOCELLULAR CARCINOMA 11(2024):1445-1457.