Risk factors related to acute radiation dermatitis in breast cancer patients after radiotherapy: a systematic review and meta-analysis

Y Xie, Q Wang, T Hu, R Chen, J Wang, H Chang… - Frontiers in …, 2021 - frontiersin.org
Background Acute radiation dermatitis (ARD) is the most common acute response after
adjuvant radiotherapy in breast cancer patients and negatively affects patients' quality of life …

A ketogenic diet consumed during radiotherapy improves several aspects of quality of life and metabolic health in women with breast cancer

RJ Klement, MM Weigel, RA Sweeney - Clinical Nutrition, 2021 - Elsevier
Summary Background & aims Ketogenic diets (KDs) have been proposed as
complementary nutritional treatments for cancer patients. Because it is important to gain …

Predicting acute radiation dermatitis in breast cancer: a prospective cohort study

Y Xie, T Hu, R Chen, H Chang, Q Wang, J Cheng - BMC cancer, 2023 - Springer
Background Acute radiation dermatitis (ARD) is one of the most common acute adverse
reactions in breast cancer patients during and immediately after radiotherapy. As ARD …

[HTML][HTML] The normal, the radiosensitive, and the ataxic in the era of precision radiotherapy: A narrative review

S Pereira, E Orlandi, S Deneuve, A Barcellini… - Cancers, 2022 - mdpi.com
Background: radiotherapy is a cornerstone of cancer treatment. When delivering a
tumoricidal dose, the risk of severe late toxicities is usually kept below 5% using dose …

[HTML][HTML] Development and optimization of a machine-learning prediction model for acute desquamation after breast radiation therapy in the multicenter REQUITE …

M Aldraimli, S Osman, D Grishchuck, S Ingram… - Advances in radiation …, 2022 - Elsevier
Purpose Some patients with breast cancer treated by surgery and radiation therapy
experience clinically significant toxicity, which may adversely affect cosmesis and quality of …

Comparing Performances of Predictive Models of Toxicity after Radiotherapy for Breast Cancer Using Different Machine Learning Approaches

MG Ubeira-Gabellini, M Mori, G Palazzo, A Cicchetti… - Cancers, 2024 - mdpi.com
Simple Summary Studies comparing performances of machine learning (ML) methods in
building predictive models of toxicity in RT are rare. Thanks to the availability of a large …

A data science approach for early-stage prediction of Patient's susceptibility to acute side effects of advanced radiotherapy

M Aldraimli, D Soria, D Grishchuck, S Ingram… - Computers in biology …, 2021 - Elsevier
The prediction by classification of side effects incidence in a given medical treatment is a
common challenge in medical research. Machine Learning (ML) methods are widely used in …

Quality assurance program and early toxicities in the phase III BONBIS randomized trial evaluating the role of a localized radiation boost in ductal carcinoma in situ

C Bourgier, D Cowen, F Castan, C Lemanski… - Radiotherapy and …, 2021 - Elsevier
Purpose To describe the quality assurance (QA) program and early toxicities in the phase III
randomized trial BONBIS (NCT00907868) on the role of a localized radiation boost in ductal …

A dosiomics model for prediction of radiation-induced acute skin toxicity in breast cancer patients: machine learning-based study for a closed bore linac

P Saadatmand, SR Mahdavi, A Nikoofar… - European Journal of …, 2024 - Springer
Background Radiation induced acute skin toxicity (AST) is considered as a common side
effect of breast radiation therapy. The goal of this study was to design dosiomics-based …

Comparison of prone and supine positioning for breast cancer radiotherapy using REQUITE data: dosimetry, acute and two years physician and patient-reported …

V Vakaet, P Deseyne, R Bultijnck, G Post, C West… - Acta …, 2023 - Taylor & Francis
Objective Most patients receive whole breast radiotherapy in a supine position. However,
two randomised trials showed lower acute toxicity in prone position. Furthermore, in most …