CT‐based radiomic features to predict pathological response in rectal cancer: A retrospective cohort study

Novel imaging techniques of rectal cancer: what do radiomics and radiogenomics have to offer? A literature review

(2019) Natally Horvat et al.   Abdominal Radiology

Neoadjuvant rectal score as individual-level surrogate for disease-free survival in rectal cancer in the CAO/ARO/AIO-04 randomized phase III trial

(2018) E Fokas et al.   ANNALS OF ONCOLOGY

Deep Learning and Radiomics predict complete response after neo-adjuvant chemoradiation for locally advanced rectal cancer

(2018) Jean-Emmanuel Bibault et al.   Scientific Reports

Nonoperative management after neoadjuvant therapy for rectal cancer: A single institution experience over 5 years

(2018) Matthew Strode et al.   SURGICAL ONCOLOGY-OXFORD

Intrinsic dependencies of CT radiomic features on voxel size and number of gray levels

(2017) Muhammad Shafiq-ul-Hassan et al.   MEDICAL PHYSICS

The Potential of Radiomic-Based Phenotyping in Precision Medicine

(2016) Hugo J. W. L. Aerts   JAMA Oncology

Texture Analysis as Imaging Biomarker of Tumoral Response to Neoadjuvant Chemoradiotherapy in Rectal Cancer Patients Studied with 3-T Magnetic Resonance

(2015) Carlo N. De Cecco et al.   INVESTIGATIVE RADIOLOGY

Volumetric texture features from higher-order images for diagnosis of colon lesions via CT colonography

(2014) Bowen Song et al.   International Journal of Computer Assisted Radiology and Surgery

Assessment of Primary Colorectal Cancer Heterogeneity by Using Whole-Tumor Texture Analysis: Contrast-enhanced CT Texture as a Biomarker of 5-year Survival

(2012) Francesca Ng et al.   RADIOLOGY

Locally Advanced Rectal Cancer: MR Imaging in Prediction of Response after Preoperative Chemotherapy and Radiation Therapy

(2009) Brunella Barbaro et al.   RADIOLOGY