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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 31982495
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...
Adult Aged Aged, 80 and over Biomarkers Breast Neoplasms Female Humans Middle Aged Molecular Imaging Radiodermatitis Skin Skin Temperature Supervised Machine Learning
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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 34739967
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...
Artificial Intelligence Erythema Humans Machine Learning Mathematics Radiodermatitis
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Deep Learning-Based Automatic Assessment of Radiation Dermatitis in Patients With Nasopharyngeal Carcinoma.

International journal of radiation oncology, biology, physics 35304306
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...
Deep Learning Humans Image Processing, Computer-Assisted Nasopharyngeal Carcinoma Nasopharyngeal Neoplasms Organs at Risk Radiodermatitis Tomography, X-Ray Computed
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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)) 35918275
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 ...
Deep Learning Humans Image Processing, Computer-Assisted Neural Networks, Computer Radiodermatitis Radiotherapy Planning, Computer-Assisted
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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) 38915112
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...
Adult Aged Female Head and Neck Neoplasms Humans Machine Learning Male Middle Aged Proton Therapy Radiodermatitis Radiotherapy Dosage Radiotherapy, Intensity-Modulated Risk Assessment
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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 39231883
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...
Adult Aged Deep Learning Feasibility Studies Female Humans Image Interpretation, Computer-Assisted Male Middle Aged Radiodermatitis Tomography, Optical Coherence
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