A radiomics nomogram for preoperative prediction of microvascular invasion risk in hepatitis B virus-related hepatocellular carcinoma.
Purpose: We aimed to develop and validate a radiomics nomogram for preoperative prediction of microvascular invasion (MVI) in hepatitis B virus (HBV)-related hepatocellular carcinoma (HCC).Methods: A total of 304 eligible patients with HCC were randomly divided into training (n=184) and independent...
| Publicado en: | Diagnostic & Interventional Radiology Vol. 24; no. 3; pp. 121 - 131 |
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| Autores principales: | , , , , , , , , , , , |
| Formato: | Journal Article |
| Publicado: |
Galenos Yayinevi Tic. LTD. STI
May/Jun2018
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=129561583&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 129561583 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 13053825 39NM jtl: Diagnostic & Interventional Radiology issn: 13053825 maglogo: N pubinfo: dt: May/Jun2018 vid: 24 iid: 3 pid: 28155 pub: Galenos Yayinevi Tic. LTD. STI artinfo: ui: 129561583 129561583 NLM29770763 10.5152/dir.2018.17467 NLM29770763 129561583 ppf: 121 ppct: 10 formats: fmt: @attributes: type: P tig: atl: A radiomics nomogram for preoperative prediction of microvascular invasion risk in hepatitis B virus-related hepatocellular carcinoma. aug: au: Jie Peng Jing Zhang Qifan Zhang Yikai Xu Jie Zhou Li Liu Peng, Jie Zhang, Jing Zhang, Qifan Xu, Yikai Zhou, Jie Liu, Li affil: Hepatology Unit and Department of Infectious Diseases Nanfang Hospital, Southern Medical University, Guangzhou, China sug: subj: Carcinoma, Hepatocellular Models, Statistical Blood Vessels Pathology Liver Neoplasms Blood Supply Carcinoma, Hepatocellular Pathology Retrospective Design Neoplasm Invasiveness Pathology Hepatitis Viruses Immunology Algorithms Tomography, X-Ray Computed Methods Adolescence Middle Age Young Adult Female Predictive Value of Tests Portal Vein Adult Portal Vein Pathology alpha Fetoproteins Analysis Risk Factors Carcinoma, Hepatocellular Blood Supply Male Liver Neoplasms Pathology Preoperative Period Aged Neoplasm Invasiveness Scales Adolescent: 13-18 years Middle Aged: 45-64 years Adult: 19-44 years Aged: 65+ years Female Male ab: Purpose: We aimed to develop and validate a radiomics nomogram for preoperative prediction of microvascular invasion (MVI) in hepatitis B virus (HBV)-related hepatocellular carcinoma (HCC).Methods: A total of 304 eligible patients with HCC were randomly divided into training (n=184) and independent validation (n=120) cohorts. Portal venous and arterial phase computed tomography data of the HCCs were collected to extract radiomic features. Using the least absolute shrinkage and selection operator algorithm, the training set was processed to reduce data dimensions, feature selection, and construction of a radiomics signature. Then, a prediction model including the radiomics signature, radiologic features, and alpha-fetoprotein (AFP) level, as presented in a radiomics nomogram, was developed using multivariable logistic regression analysis. The radiomics nomogram was analyzed based on its discrimination ability, calibration, and clinical usefulness. Internal cohort data were validated using the radiomics nomogram.Results: The radiomics signature was significantly associated with MVI status (P < 0.001, both cohorts). Predictors, including the radiomics signature, nonsmooth tumor margin, hypoattenuating halos, internal arteries, and alpha-fetoprotein level were reserved in the individualized prediction nomogram. The model exhibited good calibration and discrimination in the training and validation cohorts (C-index [95% confidence interval]: 0.846 [0.787-0.905] and 0.844 [0.774-0.915], respectively). Its clinical usefulness was confirmed using a decision curve analysis.Conclusion: The radiomics nomogram, as a noninvasive preoperative prediction method, shows a favorable predictive accuracy for MVI status in patients with HBV-related HCC. pubtype: Academic Journal doctype: Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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