CASIA OpenIR  > 中国科学院分子影像重点实验室
Predicting microvascular invasion in hepatocellular carcinoma: A dual-institution study on gadoxetate disodium-enhanced MRI
Jiang, Hanyu1; Wei, Jingwei2,3; Fu, Fangfang4,5; Wei, Hong1; Qin, Yun1; Duan, Ting1; Chen, Weixia1; Xie, Kunlin6; Lee, Jeong Min7,8; Bashir, Mustafa R.9,10,11; Wang, Meiyun4,5; Song, Bin1; Tian, Jie2,3,12,13,14
Source PublicationLIVER INTERNATIONAL
ISSN1478-3223
2022-03-11
Pages15
Corresponding AuthorWang, Meiyun(mywang@ha.edu.cn) ; Song, Bin(anicesong@vip.sina.com) ; Tian, Jie(jie.tian@ia.ac.cn)
AbstractBackground & Aims Microvascular invasion (MVI) is an important risk factor in hepatocellular carcinoma (HCC), but its diagnosis mandates postoperative histopathologic analysis. We aimed to develop and externally validate a predictive scoring system for MVI. Methods From July 2015 to November 2020, consecutive patients underwent surgery for HCC with preoperative gadoxetate disodium (EOB)-enhanced MRI was retrospectively enrolled. All MR images were reviewed independently by two radiologists who were blinded to the outcomes. In the training centre, a radio-clinical MVI score was developed via logistic regression analysis against pathology. In the testing centre, areas under the receiver operating curve (AUCs) of the MVI score and other previous MVI schemes were compared. Overall survival (OS) and recurrence-free survival (RFS) were analysed by the Kaplan-Meier method with the log-rank test. Results A total of 417 patients were included, 195 (47%) with pathologically-confirmed MVI. The MVI score included: non-smooth tumour margin (odds ratio [OR] = 4.4), marked diffusion restriction (OR = 3.0), internal artery (OR = 3.0), hepatobiliary phase peritumoral hypointensity (OR = 2.5), tumour multifocality (OR = 1.6), and serum alpha-fetoprotein >400 ng/mL (OR = 2.5). AUCs for the MVI score were 0.879 (training) and 0.800 (testing), significantly higher than those for other MVI schemes (testing AUCs: 0.648-0.684). Patients with model-predicted MVI had significantly shorter OS (median 61.0 months vs not reached, P < .001) and RFS (median 13.0 months vs. 42.0 months, P < .001) than those without. Conclusions A preoperative MVI score integrating five EOB-MRI features and serum alpha-fetoprotein level could accurately predict MVI and postoperative survival in HCC. Therefore, this score may aid in individualized treatment decision making.
Keyworddiagnosis gadoxetate disodium-enhanced MRI hepatocellular carcinoma microvascular invasion survival
DOI10.1111/liv.15231
WOS KeywordCOMPUTED-TOMOGRAPHY ; RECURRENCE ; DIAGNOSIS ; RESECTION ; NOMOGRAM ; SYSTEM ; CANCER
Indexed BySCI
Language英语
Funding ProjectNational Natural Science Foundation of China[82101997] ; National Natural Science Foundation of China[62027 901] ; National Natural Science Foundation of China[81 227 901] ; National Natural Science Foundation of China[81 930 053] ; National Natural Science Foundation of China[82 001917] ; Science and Technology Support Program of Sichuan Province[2021YFS0141] ; Science and Technology Support Program of Sichuan Province[2021YFS0021] ; Ministry of Science and Technology of China[2017YFA0205200] ; Project of High-Level Talents Team Introduction in Zhuhai City[HLHPTP201703]
Funding OrganizationNational Natural Science Foundation of China ; Science and Technology Support Program of Sichuan Province ; Ministry of Science and Technology of China ; Project of High-Level Talents Team Introduction in Zhuhai City
WOS Research AreaGastroenterology & Hepatology
WOS SubjectGastroenterology & Hepatology
WOS IDWOS:000767145200001
PublisherWILEY
Sub direction classification医学影像处理与分析
Citation statistics
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/47943
Collection中国科学院分子影像重点实验室
Corresponding AuthorWang, Meiyun; Song, Bin; Tian, Jie
Affiliation1.Sichuan Univ, West China Hosp, Dept Radiol, Chengdu 610041, Sichuan, Peoples R China
2.Chinese Acad Sci, Inst Automat, Key Lab Mol Imaging, Beijing 100190, Peoples R China
3.Beijing Key Lab Mol Imaging, Beijing, Peoples R China
4.Henan Prov Peoples Hosp, Dept Med Imaging, Zhengzhou 450003, Henan, Peoples R China
5.Zhengzhou Univ, Dept Med Imaging, Peoples Hosp, Zhengzhou, Peoples R China
6.Sichuan Univ, West China Hosp, Dept Liver Surg & Liver Transplantat, Chengdu, Peoples R China
7.Seoul Natl Univ Hosp, Dept Radiol, Seoul, South Korea
8.Seoul Natl Univ, Coll Med, Seoul, South Korea
9.Duke Univ, Med Ctr, Dept Radiol, Durham, NC 27710 USA
10.Duke Univ, Med Ctr, Ctr Adv Magnet Resonance Med, Durham, NC USA
11.Duke Univ, Med Ctr, Div Gastroenterol, Durham, NC 27710 USA
12.Beihang Univ, Beijing Adv Innovat Ctr Big Data Based Precis Med, Sch Med, Beijing, Peoples R China
13.Xidian Univ, Sch Life Sci & Technol, Minist Educ, Engn Res Ctr Mol & Neuro Imaging, Xian, Peoples R China
14.Beihang Univ, Minist Ind & Informat Technol, Key Lab Big Data Based Precis Med, Beijing, Peoples R China
Corresponding Author AffilicationInstitute of Automation, Chinese Academy of Sciences
Recommended Citation
GB/T 7714
Jiang, Hanyu,Wei, Jingwei,Fu, Fangfang,et al. Predicting microvascular invasion in hepatocellular carcinoma: A dual-institution study on gadoxetate disodium-enhanced MRI[J]. LIVER INTERNATIONAL,2022:15.
APA Jiang, Hanyu.,Wei, Jingwei.,Fu, Fangfang.,Wei, Hong.,Qin, Yun.,...&Tian, Jie.(2022).Predicting microvascular invasion in hepatocellular carcinoma: A dual-institution study on gadoxetate disodium-enhanced MRI.LIVER INTERNATIONAL,15.
MLA Jiang, Hanyu,et al."Predicting microvascular invasion in hepatocellular carcinoma: A dual-institution study on gadoxetate disodium-enhanced MRI".LIVER INTERNATIONAL (2022):15.
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