According to the main international clinical guidelines, the recommended treatment for
locally-advanced rectal cancer is neoadjuvant chemoradiotherapy followed by surgery …

Prediction of outcome in patients with colorectal cancer (CRC) is challenging as a result of
lack of a robust biomarker and heterogeneity between and within tumors. The aim of this …

Objectives To develop and validate a radiomics predictive model based on pre-treatment
multiparameter magnetic resonance imaging (MRI) features and clinical features to predict a …

Purpose To evaluate the associations among mathematical modeling with the use of
magnetic resonance (MR) imaging–based texture features and deep myometrial invasion …

The high-throughput extraction of quantitative information from medical images, known as
radiomics, has grown in interest due to the current necessity to quantitatively characterize …

Purpose Pathological complete response (pCR) following neoadjuvant chemoradiotherapy
or radiotherapy in locally advanced rectal cancer (LARC) is reached in approximately 15 …

Objective To develop a T2-weighted (T2W) image-based radiomics signature for the
individual prediction of KRAS mutation status in patients with rectal cancer. Methods Three …

Objectives This study was conducted in order to evaluate a novel risk stratification model
using dual-energy CT (DECT) texture analysis of head and neck squamous cell carcinoma …

Purpose To evaluate whether features from texture analysis of breast cancers were
associated with pathologic complete response (pCR) after neoadjuvant chemotherapy and …

Purpose Advanced medical image analytics is increasingly used to predict clinical outcome
in patients diagnosed with gastrointestinal tumors. This review provides an overview on the …