Radiomics in colorectal cancer patients

R Inchingolo, C Maino, R Cannella… - World Journal of …, 2023 - pmc.ncbi.nlm.nih.gov
The main therapeutic options for colorectal cancer are surgical resection and adjuvant
chemotherapy in non-metastatic disease. However, the evaluation of the overall adjuvant …

[HTML][HTML] Radiomics in the setting of neoadjuvant radiotherapy: a new approach for tailored treatment

V Nardone, L Boldrini, R Grassi, D Franceschini… - Cancers, 2021 - mdpi.com
Simple Summary This review based on a literature search aims at showing the impact of
Texture Analysis in the prediction of response to neoadjuvant radiotherapy and/or …

Radiomics textural features by MR imaging to assess clinical outcomes following liver resection in colorectal liver metastases

V Granata, R Fusco, F De Muzio, C Cutolo… - La radiologia …, 2022 - Springer
Purpose To assess the efficacy of radiomics features obtained by T2-weighted sequences to
predict clinical outcomes following liver resection in colorectal liver metastases patients …

Radiomics and machine learning analysis based on magnetic resonance imaging in the assessment of liver mucinous colorectal metastases

V Granata, R Fusco, F De Muzio, C Cutolo… - La radiologia …, 2022 - Springer
Purpose The purpose of this study is to evaluate the Radiomics and Machine Learning
Analysis based on MRI in the assessment of Liver Mucinous Colorectal Metastases. Query …

A CT-based deep learning radiomics nomogram to predict histological grades of head and neck squamous cell carcinoma

Y Zheng, J Che, M Yuan, Z Wu, J Pang, R Zhou, X Li… - Academic …, 2023 - Elsevier
Rationale and Objectives Accurate pretreatment assessment of histological differentiation
grade of head and neck squamous cell carcinoma (HNSCC) is crucial for prognosis …

MRI-based radiomics to predict response in locally advanced rectal cancer: comparison of manual and automatic segmentation on external validation in a multicentre …

A Defeudis, S Mazzetti, J Panic, M Micilotta… - European Radiology …, 2022 - Springer
Background Pathological complete response after neoadjuvant chemoradiotherapy in
locally advanced rectal cancer (LARC) is achieved in 15–30% of cases. Our aim was to …

Total neoadjuvant therapy is a predictor for complete pathological response in patients undergoing surgery for rectal cancer

N Horesh, MR Freund, Z Garoufalia, R Gefen… - Journal of …, 2022 - Elsevier
Introduction Total neoadjuvant therapy (TNT) is a new therapeutic strategy in patients with
rectal cancer. We examined the role of TNT, in addition to other pre-operative factors, as a …

Machine learning-based multiparametric MRI radiomics for predicting poor responders after neoadjuvant chemoradiotherapy in rectal Cancer patients

J Wang, J Chen, R Zhou, Y Gao, J Li - BMC cancer, 2022 - Springer
Background The purpose of this study was to investigate and validate multiparametric
magnetic resonance imaging (MRI)-based machine learning classifiers for early …

MRI-based radiomics features to predict treatment response to neoadjuvant chemotherapy in locally advanced rectal cancer: a single center, prospective study

BY Chen, H **e, Y Li, XH Jiang, L **ong… - Frontiers in …, 2022 - frontiersin.org
This is a prospective, single center study aimed to evaluate the predictive power of peritumor
and intratumor radiomics features assessed using T2 weight image (T2WI) of baseline …

Changing patterns of neoadjuvant therapy for locally advanced rectal cancer: A narrative review

W He, Q Li, X Li - Critical Reviews in Oncology/Hematology, 2023 - Elsevier
Standard treatment for patients with locally advanced rectal cancer has been the
multidisciplinary approach of neoadjuvant chemoradiotherapy, followed by total mesorectal …