Classification tree analysis to evaluate the most useful magnetic resonance image type in the differentiation between early and progressed hepatocellular carcinoma

Classification tree analysis to evaluate the most useful magnetic resonance image type in the differentiation between early and progressed hepatocellular carcinoma

Abstract Aim Using classification tree analysis, we evaluated the most useful magnetic resonance (MR) image type in the differentiation between early and progressed hepatocellular carcinoma (eHCC and pHCC). Methods We included pathologically proven 214 HCCs (28 eHCCs and 186 pHCCs) in 144 patients....

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Main Authors: Fumihito Ichinohe, Daisuke Komatsu, Akira Yamada, Takanori Aonuma, Ayumi Sakai, Marika Shimizu, Masahiro Kurozumi, Akira Shimizu, Yuji Soejima, Takeshi Uehara, Yasunari Fujinaga
Format: Article
Language:English
Published: Wiley 2023-04-01
Series:Cancer Medicine
Subjects:
classification tree
early hepatocellular carcinoma
magnetic resonance imaging
progressed hepatocellular carcinoma
Online Access:https://doi.org/10.1002/cam4.5589

Internet

https://doi.org/10.1002/cam4.5589

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