AIMC Topic: Radiation Injuries
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Support vector machine classification of brain metastasis and radiation necrosis based on texture analysis in MRI.
Journal of magnetic resonance imaging : JMRI
Apr 10, 2015
PURPOSE: To develop a classification model using texture features and support vector machine in contrast-enhanced T1-weighted images to differentiate between brain metastasis and radiation necrosis.
Evaluation of a knowledge-based planning solution for head and neck cancer.
International journal of radiation oncology, biology, physics
Jan 30, 2015
PURPOSE: Automated and knowledge-based planning techniques aim to reduce variations in plan quality. RapidPlan uses a library consisting of different patient plans to make a model that can predict achievable dose-volume histograms (DVHs) for new pati...
Transforming the management of radiotherapy-induced hypothyroidism in nasopharyngeal carcinoma through an Innovative individualized radiation dosage model: A multicenter retrospective analysis.
Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology
Jul 1, 2025
PURPOSE: Current guidelines for thyroid radiation dose prescription lack uniformity and fail to consider the unique characteristics of individual patients. This study aimed to develop an individualized thyroid dosing regimen to enhance thyroid protec...
A systematic review and meta-analysis of the utility of quantitative, imaging-based approaches to predict radiation-induced toxicity in lung cancer patients.
Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology
Jul 1, 2025
BACKGROUND AND PURPOSE: To conduct a systematic review and meta-analysis of the performance of radiomics, dosiomics and machine learning in generating toxicity prediction in thoracic radiotherapy.
Validation and Derivation of miRNA-Based Germline Signatures Predicting Radiation Toxicity in Prostate Cancer.
Clinical cancer research : an official journal of the American Association for Cancer Research
Jun 13, 2025
PURPOSE: Although radiotherapy (RT) is one of the primary treatment modalities used in the treatment of cancer, patients often experience toxicity during or after treatment. RT-induced genitourinary (GU) toxicity is a significant survivorship challen...
Machine learning-driven imaging data for early prediction of lung toxicity in breast cancer radiotherapy.
Scientific reports
May 27, 2025
One possible adverse effect of breast irradiation is the development of pulmonary fibrosis. The aim of this study was to determine whether planning CT scans can predict which patients are more likely to develop lung lesions after treatment. A retrosp...
Utilization of machine learning methods for prediction of acute and late rectal toxicity due to curative prostate radiotherapy.
Radiation protection dosimetry
Aug 9, 2024
OBJECTIVE: Rectal toxicity is one of the primary dose-limiting side effects of prostate cancer radiotherapy, and consequential impairment on quality of life in these patients with long survival is an important problem. In this study, we aimed to eval...
Advanced Technologies in Radiation Research.
Radiation research
Apr 1, 2024
The U.S. Government is committed to maintaining a robust research program that supports a portfolio of scientific experts who are investigating the biological effects of radiation exposure. On August 17 and 18, 2023, the Radiation and Nuclear Counter...
[To promote the clinical application of PET/MRI in oncology].
Zhonghua yi xue za zhi
Sep 5, 2023
PET/MRI integrates anatomical, functional and metabolic information, and is increasingly used in the field of clinical oncology, including early diagnosis of disease, local staging, detection of systemic metastases, evaluation of treatment efficacy a...
Novel Imaging Biomarkers to Assess Oncologic Treatment-Related Changes.
American Society of Clinical Oncology educational book. American Society of Clinical Oncology. Annual Meeting
Apr 1, 2022
Cancer therapeutics cause various treatment-related changes that may impact patient follow-up and disease monitoring. Although atypical responses such as pseudoprogression may be misinterpreted as treatment nonresponse, other changes, such as hyperpr...
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