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Radiotherapy Dosage

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Multi-center Dose Prediction Using Attention-aware Deep learning Algorithm Based on Transformers for Cervical Cancer Radiotherapy.

Clinical oncology (Royal College of Radiologists (Great Britain)) Mar 26, 2024
AIMS: Accurate dose delivery is crucial for cervical cancer volumetric modulated arc therapy (VMAT). We aimed to develop a robust deep-learning (DL) algorithm for fast and accurate dose prediction of cervical cancer VMAT in multicenter datasets and t...
Aged Adult Uterine Cervical Neoplasms Middle Aged Humans Algorithms Female Endometrial Neoplasms Deep Learning Radiotherapy Planning, Computer-Assisted Radiotherapy Dosage Radiotherapy, Intensity-Modulated
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Prospective validation of a machine learning model for applicator and hybrid interstitial needle selection in high-dose-rate (HDR) cervical brachytherapy.

Brachytherapy Mar 26, 2024
PURPOSE: To Demonstrate the clinical validation of a machine learning (ML) model for applicator and interstitial needle prediction in gynecologic brachytherapy through a prospective clinical study in a single institution.
Aged Uterine Cervical Neoplasms Middle Aged Organs at Risk Radiotherapy Planning, Computer-Assisted Needles Brachytherapy Radiotherapy Dosage Humans Machine Learning Prospective Studies Female
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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.
Cohort Studies Imaging, Three-Dimensional Adult Lung Neoplasms Radiotherapy Planning, Computer-Assisted Humans Male Carcinoma, Non-Small-Cell Lung Radiotherapy Dosage Tomography, X-Ray Computed Middle Aged Radiation Pneumonitis Female Deep Learning 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...
Male Prostatic Neoplasms Brachytherapy Radiotherapy Dosage Humans Neural Networks, Computer Algorithms
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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...
Mandibular Diseases Head and Neck Neoplasms Support Vector Machine Cluster Analysis Unsupervised Machine Learning Male Humans Organs at Risk Middle Aged Retrospective Studies Probability Risk Assessment Female Radiotherapy Dosage Mandible Aged Osteoradionecrosis Adult
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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...
Brain Neoplasms Deep Learning Magnetic Resonance Imaging Feasibility Studies Humans Brain Retrospective Studies Radiotherapy Planning, Computer-Assisted Radiotherapy Dosage Radiotherapy, Intensity-Modulated
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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 Humans Radiotherapy Dosage Deep Learning Radiotherapy, Intensity-Modulated Lymph Nodes Lymphatic Irradiation
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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...
Machine Learning Algorithms Prognosis Retrospective Studies Humans Carcinoma, Non-Small-Cell Lung Positron Emission Tomography Computed Tomography Neoplasm Recurrence, Local Male Radiotherapy Planning, Computer-Assisted Female Radiotherapy Dosage Middle Aged Aged Image Processing, Computer-Assisted Radiotherapy, Intensity-Modulated Aged, 80 and over Lung Neoplasms Radiosurgery Radiomics
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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.
Spiral Cone-Beam Computed Tomography Humans Radiotherapy Dosage Artificial Intelligence Monte Carlo Method Cone-Beam Computed Tomography Phantoms, Imaging Radiation Dosage Radiometry
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