Systematic review: radiomics for the diagnosis and prognosis of hepatocellular carcinoma

E Harding‐Theobald, J Louissaint… - Alimentary …, 2021 - Wiley Online Library
Background Advances in imaging technology have the potential to transform the early
diagnosis and treatment of hepatocellular carcinoma (HCC) through quantitative image …

Radiomics in liver diseases: Current progress and future opportunities

J Wei, H Jiang, D Gu, M Niu, F Fu, Y Han… - Liver …, 2020 - Wiley Online Library
Liver diseases, a wide spectrum of pathologies from inflammation to neoplasm, have
become an increasingly significant health problem worldwide. Noninvasive imaging plays a …

Role of machine learning in precision oncology: applications in gastrointestinal cancers

A Tabari, SM Chan, OMF Omar, SI Iqbal, MS Gee… - Cancers, 2022 - mdpi.com
Simple Summary Worldwide gastrointestinal (GI) malignancies account for about 25% of the
global cancer incidence. For some malignancies, screening programs, such as routine colon …

Hepatocellular carcinoma: radiomics nomogram on gadoxetic acid-enhanced MR imaging for early postoperative recurrence prediction

Z Zhang, H Jiang, J Chen, Y Wei, L Cao, Z Ye, X Li… - Cancer Imaging, 2019 - Springer
Background This study was performed to prospectively develop and validate a radiomics
nomogram for predicting postoperative early recurrence (≤ 1 year) of hepatocellular …

Radiomics in hepatocellular carcinoma: a quantitative review

T Wakabayashi, F Ouhmich, C Gonzalez-Cabrera… - Hepatology …, 2019 - Springer
Radiomics is an emerging field which extracts quantitative radiology data from medical
images and explores their correlation with clinical outcomes in a non-invasive manner. This …

Predicting survival using pretreatment CT for patients with hepatocellular carcinoma treated with transarterial chemoembolization: comparison of models using …

J Kim, SJ Choi, SH Lee, HY Lee… - American Journal of …, 2018 - Am Roentgen Ray Soc
OBJECTIVE. The purpose of this study was to investigate the use of radiomics features as
prognostic biomarkers for predicting the survival of patients treated with transarterial …

Radiomics nomogram based on optimal VOI of multi-sequence MRI for predicting microvascular invasion in intrahepatic cholangiocarcinoma

X Ma, X Qian, Q Wang, Y Zhang, R Zong, J Zhang… - La radiologia …, 2023 - Springer
Objective Microvascular invasion (MVI) is a significant adverse prognostic indicator of
intrahepatic cholangiocarcinoma (ICC) and affects the selection of individualized treatment …

Radiomics of hepatocellular carcinoma

S Lewis, S Hectors, B Taouli - Abdominal Radiology, 2021 - Springer
The diagnosis of hepatocellular carcinoma relies largely on non-invasive imaging, and is
well suited for radiomics analysis. Radiomics is an emerging method for quantification of …

A CT-based radiomics nomogram for differentiation of focal nodular hyperplasia from hepatocellular carcinoma in the non-cirrhotic liver

P Nie, G Yang, J Guo, J Chen, X Li, Q Ji, J Wu, J Cui… - Cancer Imaging, 2020 - Springer
Background The purpose of this study was to develop and validate a radiomics nomogram
for preoperative differentiating focal nodular hyperplasia (FNH) from hepatocellular …

Preoperative prediction of microvascular invasion in hepatocellular carcinoma: initial application of a radiomic algorithm based on grayscale ultrasound images

Y Dong, L Zhou, W Xia, XY Zhao, Q Zhang… - Frontiers in …, 2020 - frontiersin.org
Objectives: To establish a radiomic algorithm based on grayscale ultrasound images and to
make preoperative predictions of microvascular invasion (MVI) in hepatocellular carcinoma …