Predicting Microvascular Invasion in Hepatocellular Carcinoma Using CT-based Radiomics Model
Central South University · Kunming Medical University · +6 more institutions
Abstract
Background Prediction of microvascular invasion (MVI) may help determine treatment strategies for hepatocellular carcinoma (HCC). Purpose To develop a radiomics approach for predicting MVI status based on preoperative multiphase CT images and to identify MVI-associated differentially expressed genes. Materials and Methods Patients with pathologically proven HCC from May 2012 to September 2020 were retrospectively included from four medical centers. Radiomics features were extracted from tumors and peritumor regions on preoperative registration or subtraction CT images. In the training set, these features were used to build five radiomics models via logistic regression after feature reduction. The models were…
Citation impact
- FWCI
- 48.20
- Percentile
- 100%
- References
- 33
Authors
15- TXTianyi XiaCorresponding
Central South University, Kunming Medical University, Southeast University
- ZZZheng-hao Zhou
Central South University, Kunming Medical University, Southeast University
- XMXiangpan Meng
Central South University, Kunming Medical University, Southeast University
- JZJunhao Zha
Central South University, Kunming Medical University, Southeast University
- YQYu Qian
Central South University, Kunming Medical University, Zhongda Hospital Southeast University, Southeast University
Topics & keywords
- Medicine
- Radiomics
- Hepatocellular carcinoma
- Receiver operating characteristic
- Logistic regression
- Radiology
- Cohort
- Test set
- Good health and well-being