AIMC Topic: Radiometry

Clear Filters Showing 101 to 110 of 119 articles

Accelerated partial breast irradiation using robotic radiotherapy: a dosimetric comparison with tomotherapy and three-dimensional conformal radiotherapy.

Radiation oncology (London, England) Feb 27, 2016
BACKGROUND: Accelerated partial breast irradiation (APBI) is a new breast treatment modality aiming to reduce treatment time using hypo fractionation. Compared to conventional whole breast irradiation that takes 5 to 6 weeks, APBI is reported to indu...
Breast Neoplasms Imaging, Three-Dimensional Humans Female Radiotherapy, Conformal Respiration Radiotherapy Dosage Robotics Radiosurgery Radiotherapy, Intensity-Modulated Breast Radiometry Radiotherapy Radiotherapy Planning, Computer-Assisted Surgical Instruments Radiation Injuries Phantoms, Imaging Movement
View on PubMed DOI

Fractionated stereotactic radiation therapy for vestibular schwannomas: Dosimetric factors predictive of hearing outcomes.

Practical radiation oncology Dec 3, 2015
PURPOSE: To determine dosimetric factors predictive of hearing loss in vestibular schwannoma (VS) patients treated with definitive fractionated stereotactic radiation therapy (FSRT), and to report tumor control, serviceable hearing preservation, and ...
Middle Aged Young Adult Humans Treatment Outcome Adult Hearing Loss Hearing Female Male Radiometry Aged Neuroma, Acoustic
View on PubMed DOI

Robotic radiosurgery system patient-specific QA for extracranial treatments using the planar ion chamber array and the cylindrical diode array.

Journal of applied clinical medical physics Jul 8, 2015
Robotic radiosurgery system has been increasingly employed for extracranial treatments. This work is aimed to study the feasibility of a cylindrical diode array and a planar ion chamber array for patient-specific QA with this robotic radiosurgery sys...
Phantoms, Imaging Radiometry Humans Radiotherapy Setup Errors Algorithms Radiotherapy, Intensity-Modulated Radiotherapy Planning, Computer-Assisted Lung Neoplasms Radiosurgery Quality Assurance, Health Care Robotics Monte Carlo Method Radiotherapy Dosage
View on PubMed DOI

Prediction of the thickness of the compensator filter in radiation therapy using computational intelligence.

Medical dosimetry : official journal of the American Association of Medical Dosimetrists Dec 11, 2014
In this study, artificial neural networks (ANNs) and adaptive neuro-fuzzy inference system (ANFIS) are investigated to predict the thickness of the compensator filter in radiation therapy. In the proposed models, the input parameters are field size (...
Pattern Recognition, Automated Neural Networks, Computer Radiotherapy, Conformal Scattering, Radiation Reproducibility of Results Filtration Equipment Failure Analysis Sensitivity and Specificity Radiotherapy Dosage Radiometry Equipment Design
View on PubMed DOI

Multicenter development of a deep learning radiomics and dosiomics nomogram to predict radiation pneumonia risk in non-small cell lung cancer.

Scientific reports May 16, 2025
Radiation pneumonia (RP) is the most common side effect of chest radiotherapy, and can affect patients' quality of life. This study aimed to establish a combined model of radiomics, dosiomics, deep learning (DL) based on simulated location CT and dos...
Female Aged Radiomics Male Humans Retrospective Studies Tomography, X-Ray Computed Nomograms Carcinoma, Non-Small-Cell Lung Radiometry Radiation Pneumonitis Middle Aged Deep Learning Lung Neoplasms
View on PubMed DOI

RadField3D: a data generator and data format for deep learning in radiation-protection dosimetry for medical applications.

Journal of radiological protection : official journal of the Society for Radiological Protection May 16, 2025
In this research work, we present our open-source Geant4-based Monte-Carlo simulation application, called RadField3D, for generating three-dimensional radiation field datasets for dosimetry. Accompanying, we introduce a fast, machine-interpretable da...
Humans Radiometry Radiation Protection Deep Learning Monte Carlo Method
View on PubMed DOI

Deep Learning-Based Prediction of Radiation Therapy Dose Distributions in Nasopharyngeal Carcinomas: A Preliminary Study Incorporating Multiple Features Including Images, Structures, and Dosimetry.

Technology in cancer research & treatment Jan 1, 2024
Intensity-modulated radiotherapy (IMRT) is currently the most important treatment method for nasopharyngeal carcinoma (NPC). This study aimed to enhance prediction accuracy by incorporating dose information into a deep convolutional neural network (...
Humans Nasopharyngeal Neoplasms Radiometry Radiotherapy Planning, Computer-Assisted Radiotherapy Dosage Radiotherapy, Intensity-Modulated Neural Networks, Computer Nasopharyngeal Carcinoma Deep Learning Organs at Risk
View on PubMed DOI

Deep Learning for Patient-Specific Quality Assurance: Predicting Gamma Passing Rates for IMRT Based on Delivery Fluence Informed by log Files.

Technology in cancer research & treatment Jan 1, 2022
In this study, we propose a deep learning-based approach to predict Intensity-modulated radiation therapy (IMRT) quality assurance (QA) gamma passing rates using delivery fluence informed by log files. A total of 112 IMRT plans for chest cancers we...
Humans Deep Learning Radiotherapy, Intensity-Modulated Radiometry Particle Accelerators Radiotherapy Planning, Computer-Assisted Quality Assurance, Health Care Radiotherapy Dosage
View on PubMed DOI

Radiomics, deep learning and early diagnosis in oncology.

Emerging topics in life sciences Dec 21, 2021
Medical imaging, including X-ray, computed tomography (CT), and magnetic resonance imaging (MRI), plays a critical role in early detection, diagnosis, and treatment response prediction of cancer. To ease radiologists' task and help with challenging c...
Diagnostic Imaging Radiometry Neoplasms Deep Learning Early Detection of Cancer Female Breast Neoplasms Humans Tomography, X-Ray Computed
View on PubMed DOI

A Machine learning model trained on dual-energy CT radiomics significantly improves immunotherapy response prediction for patients with stage IV melanoma.

Journal for immunotherapy of cancer Nov 1, 2021
BACKGROUND: To assess the additive value of dual-energy CT (DECT) over single-energy CT (SECT) to radiomics-based response prediction in patients with metastatic melanoma preceding immunotherapy.
Middle Aged Neoplasm Staging Radiometry Female Melanoma Aged Humans Machine Learning Tomography, X-Ray Computed
View on PubMed DOI
Popular Topics
Recent Journals