AIMC Topic: Radiotherapy Dosage

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Enhancing the prediction of symptomatic radiation pneumonitis for locally advanced non-small-cell lung cancer by combining 3D deep learning-derived imaging features with dose-volume metrics: a two-center study.

Strahlentherapie und Onkologie : Organ der Deutschen Rontgengesellschaft ... [et al] Mar 18, 2024
OBJECTIVE: This study aims to examine the ability of deep learning (DL)-derived imaging features for the prediction of radiation pneumonitis (RP) in locally advanced non-small-cell lung cancer (LA-NSCLC) patients.
Humans Tomography, X-Ray Computed Female Carcinoma, Non-Small-Cell Lung Radiotherapy Planning, Computer-Assisted Radiotherapy Dosage Radiation Pneumonitis Deep Learning Aged Cohort Studies Adult Imaging, Three-Dimensional Male Lung Neoplasms Middle Aged
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High-dose-rate Brachytherapy Monotherapy in Patients With Localised Prostate Cancer: Dose Modelling and Optimisation Using Computer Algorithms.

Clinical oncology (Royal College of Radiologists (Great Britain)) Mar 14, 2024
AIMS: Interstitial high-dose-rate brachytherapy (HDR-BT) is an effective therapy modality for patients with localized prostate carcinoma. The objectives of the study were to optimise the therapy regime variables using two models: response surface met...
Algorithms Male Prostatic Neoplasms Brachytherapy Radiotherapy Dosage Humans Neural Networks, Computer
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Cluster-Based Toxicity Estimation of Osteoradionecrosis Via Unsupervised Machine Learning: Moving Beyond Single Dose-Parameter Normal Tissue Complication Probability by Using Whole Dose-Volume Histograms for Cohort Risk Stratification.

International journal of radiation oncology, biology, physics Mar 10, 2024
PURPOSE: Given the limitations of extant models for normal tissue complication probability estimation for osteoradionecrosis (ORN) of the mandible, the purpose of this study was to enrich statistical inference by exploiting structural properties of d...
Cluster Analysis Unsupervised Machine Learning Organs at Risk Probability Radiotherapy Dosage Osteoradionecrosis Mandibular Diseases Risk Assessment Mandible Head and Neck Neoplasms Humans Support Vector Machine Adult Retrospective Studies Male Female Middle Aged Aged
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"sCT-Feasibility" - a feasibility study for deep learning-based MRI-only brain radiotherapy.

Radiation oncology (London, England) Mar 8, 2024
BACKGROUND: Radiotherapy (RT) is an important treatment modality for patients with brain malignancies. Traditionally, computed tomography (CT) images are used for RT treatment planning whereas magnetic resonance imaging (MRI) images are used for tumo...
Deep Learning Magnetic Resonance Imaging Feasibility Studies Radiotherapy Planning, Computer-Assisted Brain Retrospective Studies Brain Neoplasms Radiotherapy Dosage Radiotherapy, Intensity-Modulated Humans
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Assessment of lymph node area coverage with total marrow irradiation and implementation of total marrow and lymphoid irradiation using automated deep learning-based segmentation.

PloS one Mar 8, 2024
BACKGROUND: Total marrow irradiation (TMI) and total marrow and lymphoid irradiation (TMLI) have the advantages. However, delineating target lesions according to TMI and TMLI plans is labor-intensive and time-consuming. In addition, although the deli...
Bone Marrow Radiotherapy Dosage Humans Radiotherapy, Intensity-Modulated Deep Learning Lymphatic Irradiation Lymph Nodes
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Evaluation of the performance of both machine learning models using PET and CT radiomics for predicting recurrence following lung stereotactic body radiation therapy: A single-institutional study.

Journal of applied clinical medical physics Mar 4, 2024
PURPOSE: Predicting recurrence following stereotactic body radiotherapy (SBRT) for non-small cell lung cancer provides important information for the feasibility of the individualized radiotherapy and allows to select the appropriate treatment strateg...
Algorithms Prognosis Retrospective Studies Female Humans Machine Learning Male Carcinoma, Non-Small-Cell Lung Middle Aged Positron Emission Tomography Computed Tomography Aged Image Processing, Computer-Assisted Neoplasm Recurrence, Local Lung Neoplasms Aged, 80 and over Radiotherapy Planning, Computer-Assisted Radiotherapy Dosage Radiomics Radiotherapy, Intensity-Modulated Radiosurgery
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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...
Young Adult Adult Brain Neoplasms Male Machine Learning Prospective Studies Female Aged Organs at Risk Radiotherapy Planning, Computer-Assisted Radiotherapy Dosage Dose Fractionation, Radiation Middle Aged Adolescent Child, Preschool Child Humans
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Organ dose prediction for patients undergoing radiotherapy CBCT chest examinations using artificial intelligence.

Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB) Feb 5, 2024
PURPOSE: To propose an artificial intelligence (AI)-based method for personalized and real-time dosimetry for chest CBCT acquisitions.
Humans Artificial Intelligence Radiotherapy Dosage Cone-Beam Computed Tomography Spiral Cone-Beam Computed Tomography Radiation Dosage Monte Carlo Method Phantoms, Imaging Radiometry
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A physically constrained Monte Carlo-Neural Network coupling algorithm for BNCT dose calculation.

Medical physics Feb 1, 2024
BACKGROUND: In boron neutron capture therapy (BNCT)-a form of binary radiotherapy-the primary challenge in treatment planning systems for dose calculations arises from the time-consuming nature of the Monte Carlo (MC) method. Recent progress, includi...
Humans Neural Networks, Computer Monte Carlo Method Algorithms Boron Neutron Capture Therapy Radiotherapy Planning, Computer-Assisted Radiation Dosage Radiotherapy Dosage
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Gross failure rates and failure modes for a commercial AI-based auto-segmentation algorithm in head and neck cancer patients.

Journal of applied clinical medical physics Jan 23, 2024
PURPOSE: Artificial intelligence (AI) based commercial software can be used to automatically delineate organs at risk (OAR), with potential for efficiency savings in the radiotherapy treatment planning pathway, and reduction of inter- and intra-obser...
Humans Radiotherapy Planning, Computer-Assisted Artificial Intelligence Radiotherapy Dosage Software Tomography, X-Ray Computed Algorithms Radiotherapy, Intensity-Modulated Image Processing, Computer-Assisted Head and Neck Neoplasms Organs at Risk
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