AIMC Topic: Dose Fractionation, Radiation

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Optimizing fractionation schedules for de-escalation radiotherapy in head and neck cancers using deep reinforcement learning.

Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology Mar 14, 2025
PURPOSE: Patients with locally-advanced head and neck squamous cell carcinomas (HNSCCs), particularly those related to human papillomavirus (HPV), often achieve good locoregional control (LRC), yet they suffer significant toxicities from standard che...
Support Vector Machine Radiotherapy Planning, Computer-Assisted Dose Fractionation, Radiation Reinforcement Machine Learning Humans Deep Learning Squamous Cell Carcinoma of Head and Neck Head and Neck Neoplasms
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A deep learning model for inter-fraction head and neck anatomical changes in proton therapy.

Physics in medicine and biology Mar 10, 2025
To assess the performance of a probabilistic deep learning based algorithm for predicting inter-fraction anatomical changes in head and neck patients.A probabilistic daily anatomy model (DAM) for head and neck patients DAM (DAM) is built on the varia...
Head and Neck Neoplasms Radiotherapy Planning, Computer-Assisted Dose Fractionation, Radiation Proton Therapy Tomography, X-Ray Computed Deep Learning Humans Image Processing, Computer-Assisted
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Personalized deep learning auto-segmentation models for adaptive fractionated magnetic resonance-guided radiation therapy of the abdomen.

Medical physics Dec 19, 2024
BACKGROUND: Manual contour corrections during fractionated magnetic resonance (MR)-guided radiotherapy (MRgRT) are time-consuming. Conventional population models for deep learning auto-segmentation might be suboptimal for MRgRT at MR-Linacs since the...
Magnetic Resonance Imaging Radiotherapy Planning, Computer-Assisted Automation Dose Fractionation, Radiation Abdominal Neoplasms Male Humans Radiotherapy, Image-Guided Deep Learning Precision Medicine Image Processing, Computer-Assisted Abdomen
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A competing risks machine learning study of neutron dose, fractionation, age, and sex effects on mortality in 21,000 mice.

Scientific reports Aug 2, 2024
This study explores the impact of densely-ionizing radiation on non-cancer and cancer diseases, focusing on dose, fractionation, age, and sex effects. Using historical mortality data from approximately 21,000 mice exposed to fission neutrons, we empl...
Machine Learning Female Sex Factors Dose Fractionation, Radiation Dose-Response Relationship, Radiation Neutrons Animals Male Mice Age Factors Neoplasms, Radiation-Induced
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A Prospective Study of Machine Learning-Assisted Radiation Therapy Planning for Patients Receiving 54 Gy to the Brain.

International journal of radiation oncology, biology, physics Mar 1, 2024
PURPOSE: The capacity for machine learning (ML) to facilitate radiation therapy (RT) planning for primary brain tumors has not been described. We evaluated ML-assisted RT planning with regard to clinical acceptability, dosimetric outcomes, and planni...
Radiotherapy Dosage Dose Fractionation, Radiation Child Organs at Risk Radiotherapy Planning, Computer-Assisted Young Adult Adult Brain Neoplasms Male Middle Aged Adolescent Child, Preschool Machine Learning Prospective Studies Female Aged Humans
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Developing knowledge-based planning for gynaecological and rectal cancers: a clinical validation of RapidPlan.

Journal of medical radiation sciences May 25, 2020
INTRODUCTION: To create and clinically validate knowledge-based planning (KBP) models for gynaecologic (GYN) and rectal cancer patients. Assessment of ecologic generalisability and predictive validity of conventional planning versus single calculatio...
Radiotherapy, Intensity-Modulated Dose Fractionation, Radiation Humans Female Reproducibility of Results Time Factors Rectal Neoplasms Knowledge Bases Radiotherapy Planning, Computer-Assisted Genital Neoplasms, Female
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Fast contour propagation for MR-guided prostate radiotherapy using convolutional neural networks.

Medical physics Jan 23, 2020
PURPOSE: To quickly and automatically propagate organ contours from pretreatment to fraction images in magnetic resonance (MR)-guided prostate external-beam radiotherapy.
Humans Neural Networks, Computer Magnetic Resonance Imaging Male Prostatic Neoplasms Time Factors Dose Fractionation, Radiation Image Processing, Computer-Assisted Radiotherapy, Image-Guided
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2D ultrasound imaging based intra-fraction respiratory motion tracking for abdominal radiation therapy using machine learning.

Physics in medicine and biology Sep 11, 2019
We have previously developed a robotic ultrasound imaging system for motion monitoring in abdominal radiation therapy. Owing to the slow speed of ultrasound image processing, our previous system could only track abdominal motions under breath-hold. T...
Healthy Volunteers Respiration Dose Fractionation, Radiation Movement Radiotherapy, Image-Guided Ultrasonography Image Processing, Computer-Assisted Abdomen Radiotherapy Planning, Computer-Assisted Humans Machine Learning Reproducibility of Results
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Development and Validation of a Bayesian Network Method to Detect External Beam Radiation Therapy Physician Order Errors.

International journal of radiation oncology, biology, physics May 31, 2019
PURPOSE: To investigate a Bayesian network (BN)-based method to detect errors in external beam radiation therapy physician orders.
Radiotherapy Planning, Computer-Assisted ROC Curve Humans Simulation Training Neural Networks, Computer Bayes Theorem Radiotherapy Dosage Datasets as Topic Radiologists False Negative Reactions Medical Errors Organ Specificity Algorithms False Positive Reactions Radiotherapy Setup Errors Dose Fractionation, Radiation Neoplasms Technology, Radiologic Radiotherapy, Image-Guided Cohort Studies
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A deep learning framework for automatic detection of arbitrarily shaped fiducial markers in intrafraction fluoroscopic images.

Medical physics Apr 15, 2019
PURPOSE: Real-time image-guided adaptive radiation therapy (IGART) requires accurate marker segmentation to resolve three-dimensional (3D) motion based on two-dimensional (2D) fluoroscopic images. Most common marker segmentation methods require prior...
Radiotherapy, Image-Guided Prostatic Neoplasms Humans Fiducial Markers Fluoroscopy Male Automation Deep Learning Dose Fractionation, Radiation
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