Value of contrast-enhanced CT texture analysis in predicting IDH mutation status of intrahepatic cholangiocarcinoma

Abstract To explore the value of contrast-enhanced CT texture analysis in predicting isocitrate dehydrogenase (IDH) mutation status of intrahepatic cholangiocarcinomas (ICCs). Institutional review board approved this study. Contrast-enhanced CT images of 138 ICC patients (21 with IDH mutation and 11...

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Autores principales:	Yong Zhu, Yingfan Mao, Jun Chen, Yudong Qiu, Yue Guan, Zhongqiu Wang, Jian He
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/d73c90eaa5af4433b986c8b191c7bd31
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spelling	oai:doaj.org-article:d73c90eaa5af4433b986c8b191c7bd312021-12-02T11:45:01ZValue of contrast-enhanced CT texture analysis in predicting IDH mutation status of intrahepatic cholangiocarcinoma10.1038/s41598-021-86497-42045-2322https://doaj.org/article/d73c90eaa5af4433b986c8b191c7bd312021-03-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-86497-4https://doaj.org/toc/2045-2322Abstract To explore the value of contrast-enhanced CT texture analysis in predicting isocitrate dehydrogenase (IDH) mutation status of intrahepatic cholangiocarcinomas (ICCs). Institutional review board approved this study. Contrast-enhanced CT images of 138 ICC patients (21 with IDH mutation and 117 without IDH mutation) were retrospectively reviewed. Texture analysis was performed for each lesion and compared between ICCs with and without IDH mutation. All textural features in each phase and combinations of textural features (p < 0.05) by Mann–Whitney U tests were separately used to train multiple support vector machine (SVM) classifiers. The classification generalizability and performance were evaluated using a tenfold cross-validation scheme. Among plain, arterial phase (AP), portal venous phase (VP), equilibrium phase (EP) and Sig classifiers, VP classifier showed the highest accuracy of 0.863 (sensitivity, 0.727; specificity, 0.885), with a mean area under the receiver operating characteristic curve of 0.813 in predicting IDH mutation in validation cohort. Texture features of CT images in portal venous phase could predict IDH mutation status of ICCs with SVM classifier preoperatively.Yong ZhuYingfan MaoJun ChenYudong QiuYue GuanZhongqiu WangJian HeNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-7 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Yong Zhu Yingfan Mao Jun Chen Yudong Qiu Yue Guan Zhongqiu Wang Jian He Value of contrast-enhanced CT texture analysis in predicting IDH mutation status of intrahepatic cholangiocarcinoma
description	Abstract To explore the value of contrast-enhanced CT texture analysis in predicting isocitrate dehydrogenase (IDH) mutation status of intrahepatic cholangiocarcinomas (ICCs). Institutional review board approved this study. Contrast-enhanced CT images of 138 ICC patients (21 with IDH mutation and 117 without IDH mutation) were retrospectively reviewed. Texture analysis was performed for each lesion and compared between ICCs with and without IDH mutation. All textural features in each phase and combinations of textural features (p < 0.05) by Mann–Whitney U tests were separately used to train multiple support vector machine (SVM) classifiers. The classification generalizability and performance were evaluated using a tenfold cross-validation scheme. Among plain, arterial phase (AP), portal venous phase (VP), equilibrium phase (EP) and Sig classifiers, VP classifier showed the highest accuracy of 0.863 (sensitivity, 0.727; specificity, 0.885), with a mean area under the receiver operating characteristic curve of 0.813 in predicting IDH mutation in validation cohort. Texture features of CT images in portal venous phase could predict IDH mutation status of ICCs with SVM classifier preoperatively.
format	article
author	Yong Zhu Yingfan Mao Jun Chen Yudong Qiu Yue Guan Zhongqiu Wang Jian He
author_facet	Yong Zhu Yingfan Mao Jun Chen Yudong Qiu Yue Guan Zhongqiu Wang Jian He
author_sort	Yong Zhu
title	Value of contrast-enhanced CT texture analysis in predicting IDH mutation status of intrahepatic cholangiocarcinoma
title_short	Value of contrast-enhanced CT texture analysis in predicting IDH mutation status of intrahepatic cholangiocarcinoma
title_full	Value of contrast-enhanced CT texture analysis in predicting IDH mutation status of intrahepatic cholangiocarcinoma
title_fullStr	Value of contrast-enhanced CT texture analysis in predicting IDH mutation status of intrahepatic cholangiocarcinoma
title_full_unstemmed	Value of contrast-enhanced CT texture analysis in predicting IDH mutation status of intrahepatic cholangiocarcinoma
title_sort	value of contrast-enhanced ct texture analysis in predicting idh mutation status of intrahepatic cholangiocarcinoma
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/d73c90eaa5af4433b986c8b191c7bd31
work_keys_str_mv	AT yongzhu valueofcontrastenhancedcttextureanalysisinpredictingidhmutationstatusofintrahepaticcholangiocarcinoma AT yingfanmao valueofcontrastenhancedcttextureanalysisinpredictingidhmutationstatusofintrahepaticcholangiocarcinoma AT junchen valueofcontrastenhancedcttextureanalysisinpredictingidhmutationstatusofintrahepaticcholangiocarcinoma AT yudongqiu valueofcontrastenhancedcttextureanalysisinpredictingidhmutationstatusofintrahepaticcholangiocarcinoma AT yueguan valueofcontrastenhancedcttextureanalysisinpredictingidhmutationstatusofintrahepaticcholangiocarcinoma AT zhongqiuwang valueofcontrastenhancedcttextureanalysisinpredictingidhmutationstatusofintrahepaticcholangiocarcinoma AT jianhe valueofcontrastenhancedcttextureanalysisinpredictingidhmutationstatusofintrahepaticcholangiocarcinoma
_version_	1718395312978001920

Value of contrast-enhanced CT texture analysis in predicting IDH mutation status of intrahepatic cholangiocarcinoma

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