Real‐world efficacy of radiomics versus clinical predictors for microvascular invasion in patients with hepatocellular carcinoma: Large cohort study

A clinical model is as effective as a CT radiomics model for predicting MVI status in patients with HCC based on real-world scanning data, and integration of both models does not improve the predictive performance compared with a clinical model alone.

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Publication Details

Journal
Hepatology Research
Published
2024-12-12
DOI
https://doi.org/10.1111/hepr.14149
Citations
2
Primary Topic
Radiomics and Machine Learning in Medical Imaging
Type
article
Field-Weighted Citation Impact
0.81
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article

Real‐world efficacy of radiomics versus clinical predictors for microvascular invasion in patients with hepatocellular carcinoma: Large cohort study

Hirokazu Noshirο, Takao Ide, Susumu Eguchi, Mitsuhisa Takatsuki et al.
2 citations
Hepatology Research
Radiomics and Machine Learning in Medical Imaging
0.81
article

Real‐world efficacy of radiomics versus clinical predictors for microvascular invasion in patients with hepatocellular carcinoma: Large cohort study

Hirokazu Noshirο, Takao Ide, Susumu Eguchi, Mitsuhisa Takatsuki, Tomoharu Yoshizumi, Kohji Okamoto, Toru Beppu, Shinji Itoh, Hideo A. Baba, Takeshi Nakaura, Masatoshi Kajiwara, Tomoaki Noritomi, Atsushi Miyoshi, Atsushi Nanashima, Takashi Hamada, Yuko Takami, Yuichi Endo, Masahiko Sakoda, Tamotsu Kuroki, Tohru Utsunomiya, Shunsuke Kinoshita
article en
2 citations

Abstract

A clinical model is as effective as a CT radiomics model for predicting MVI status in patients with HCC based on real-world scanning data, and integration of both models does not improve the predictive performance compared with a clinical model alone.

Hepatology ResearchVol. 55(4)
University of Miyazaki (JP), Kyushu University (JP), Yamaguchi University (JP), Saga University (JP), Oita University (JP), National Kyushu Medical Center (JP), Fukuoka University (JP), University of the Ryukyus (JP), Fukuoka Tokushukai Hospital (JP), Saga-Ken Medical Centre Koseikan (JP), Oita Prefectural Hospital (JP), Nagasaki Medical Center (JP), Kagoshima City Hospital (JP), Sunagawa City Medical Center (JP), Kitakyushu City Hospital Organization (JP), Nagasaki University (JP), Kumamoto University (JP)
Good health and well-being
Openalex Percentile: Top 24%
Radiomics and Machine Learning in Medical Imaging
0.81
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