AIMC Topic: Radiodermatitis

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Development of Machine Learning Models for Predicting Radiation Dermatitis in Breast Cancer Patients Using Clinical Risk Factors, Patient-Reported Outcomes, and Serum Cytokine Biomarkers.

Clinical breast cancer Mar 5, 2025
BACKGROUND: Radiation dermatitis (RD) is a significant side effect of radiotherapy experienced by breast cancer patients. Severe symptoms include desquamation or ulceration of irradiated skin, which impacts quality of life and increases healthcare co...
Adult Breast Neoplasms Biomarkers, Tumor Risk Factors Aged Logistic Models Patient Reported Outcome Measures Radiodermatitis Middle Aged Quality of Life Machine Learning Cytokines Prognosis Female Biomarkers Humans
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Feature-Based vs. Deep-Learning Fusion Methods for the In Vivo Detection of Radiation Dermatitis Using Optical Coherence Tomography, a Feasibility Study.

Journal of imaging informatics in medicine Sep 4, 2024
Acute radiation dermatitis (ARD) is a common and distressing issue for cancer patients undergoing radiation therapy, leading to significant morbidity. Despite available treatments, ARD remains a distressing issue, necessitating further research to im...
Female Aged Humans Middle Aged Deep Learning Tomography, Optical Coherence Adult Male Feasibility Studies Image Interpretation, Computer-Assisted Radiodermatitis
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Development of a risk prediction model for radiation dermatitis following proton radiotherapy in head and neck cancer using ensemble machine learning.

Radiation oncology (London, England) Jun 24, 2024
PURPOSE: This study aims to develop an ensemble machine learning-based (EML-based) risk prediction model for radiation dermatitis (RD) in patients with head and neck cancer undergoing proton radiotherapy, with the goal of achieving superior predictiv...
Radiodermatitis Risk Assessment Head and Neck Neoplasms Radiotherapy, Intensity-Modulated Proton Therapy Radiotherapy Dosage Male Middle Aged Aged Adult Machine Learning Female Humans
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A New Approach to Quantify and Grade Radiation Dermatitis Using Deep-Learning Segmentation in Skin Photographs.

Clinical oncology (Royal College of Radiologists (Great Britain)) Jul 30, 2022
AIMS: Objective evaluation of radiation dermatitis is important for analysing the correlation between the severity of radiation dermatitis and dose distribution in clinical practice and for reliable reporting in clinical trials. We developed a novel ...
Radiotherapy Planning, Computer-Assisted Radiodermatitis Deep Learning Humans Image Processing, Computer-Assisted Neural Networks, Computer
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Deep Learning-Based Automatic Assessment of Radiation Dermatitis in Patients With Nasopharyngeal Carcinoma.

International journal of radiation oncology, biology, physics Mar 15, 2022
PURPOSE: Radiation dermatitis (RD) is a common, unpleasant side effect of patients receiving radiation therapy. In clinical practice, the severity of RD is graded manually through visual inspection, which is labor intensive and often leads to large i...
Image Processing, Computer-Assisted Organs at Risk Nasopharyngeal Neoplasms Radiodermatitis Nasopharyngeal Carcinoma Tomography, X-Ray Computed Deep Learning Humans
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The mathematics of erythema: Development of machine learning models for artificial intelligence assisted measurement and severity scoring of radiation induced dermatitis.

Computers in biology and medicine Oct 27, 2021
Although significant advancements in computer-aided diagnostics using artificial intelligence (AI) have been made, to date, no viable method for radiation-induced skin reaction (RISR) analysis and classification is available. The objective of this si...
Machine Learning Humans Erythema Mathematics Artificial Intelligence Radiodermatitis
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Quantitative Thermal Imaging Biomarkers to Detect Acute Skin Toxicity From Breast Radiation Therapy Using Supervised Machine Learning.

International journal of radiation oncology, biology, physics Jan 23, 2020
PURPOSE: Radiation-induced dermatitis is a common side effect of breast radiation therapy (RT). Current methods to evaluate breast skin toxicity include clinical examination, visual inspection, and patient-reported symptoms. Physiological changes ass...
Aged, 80 and over Adult Middle Aged Skin Skin Temperature Breast Neoplasms Female Radiodermatitis Humans Aged Supervised Machine Learning Biomarkers Molecular Imaging
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