Open AccessA nomogram based on bi-regional radiomics features from multimodal magnetic resonance imaging for preoperative prediction of microvascular invasion in hepatocellular carcinoma
Author(s) -
Rui Zhang,
Lei Xu,
Xue Wang,
Jiahui Zhang,
Pengfei Yang,
Lixia Zhang,
Xue Xia,
Xiaoli Wang,
Qiang Huang,
Chuangen Guo,
Yifeng Shi,
Tianye Niu,
Feng Chen
Publication year - 2019
Publication title -
quantitative imaging in medicine and surgery
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.766
H-Index - 21
eISSN - 2223-4292
pISSN - 2223-4306
DOI - 10.21037/qims.2019.09.07
Subject(s) - nomogram , medicine , magnetic resonance imaging , radiomics , hepatocellular carcinoma , radiology , cohort , oncology
We aimed to develop and validate a nomogram combining bi-regional radiomics features from multimodal magnetic resonance imaging (MRI) and clinicoradiological characteristics to preoperatively predict microvascular invasion (MVI) of hepatocellular carcinoma (HCC).