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Radiotherapy, Intensity-Modulated

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From plan to delivery: Machine learning based positional accuracy prediction of multi-leaf collimator and estimation of delivery effect in volumetric modulated arc therapy.

Journal of applied clinical medical physics Jun 20, 2024
PURPOSE: The positional accuracy of MLC is an important element in establishing the exact dosimetry in VMAT. We comprehensively analyzed factors that may affect MLC positional accuracy in VMAT, and constructed a model to predict MLC positional deviat...
Machine Learning Algorithms Neoplasms Organs at Risk Humans Particle Accelerators Radiotherapy Planning, Computer-Assisted Radiotherapy Dosage Radiotherapy, Intensity-Modulated
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Multi-omics deep learning for radiation pneumonitis prediction in lung cancer patients underwent volumetric modulated arc therapy.

Computer methods and programs in biomedicine Jun 19, 2024
BACKGROUND AND OBJECTIVE: To evaluate the feasibility and accuracy of radiomics, dosiomics, and deep learning (DL) in predicting Radiation Pneumonitis (RP) in lung cancer patients underwent volumetric modulated arc therapy (VMAT) to improve radiother...
Humans Tomography, X-Ray Computed Female Radiotherapy Dosage Radiotherapy, Intensity-Modulated Radiation Pneumonitis Deep Learning Lung Neoplasms Multiomics Aged Male Middle Aged
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A pretreatment multiparametric MRI-based radiomics-clinical machine learning model for predicting radiation-induced temporal lobe injury in patients with nasopharyngeal carcinoma.

Head & neck Jun 18, 2024
BACKGROUND: To establish and validate a machine learning model using pretreatment multiparametric magnetic resonance imaging-based radiomics data with clinical data to predict radiation-induced temporal lobe injury (RTLI) in patients with nasopharyng...
Male Middle Aged ROC Curve Nomograms Retrospective Studies Aged Humans Female Adult Machine Learning Radiomics Predictive Value of Tests Nasopharyngeal Carcinoma Temporal Lobe Radiotherapy, Intensity-Modulated Nasopharyngeal Neoplasms Multiparametric Magnetic Resonance Imaging Radiation Injuries
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Error detection for radiotherapy planning validation based on deep learning networks.

Journal of applied clinical medical physics May 6, 2024
BACKGROUND: Quality assurance (QA) of patient-specific treatment plans for intensity-modulated radiation therapy (IMRT) and volumetric modulated arc therapy (VMAT) necessitates prior validation. However, the standard methodology exhibits deficiencies...
Radiotherapy Dosage Radiotherapy, Intensity-Modulated Humans Algorithms Neoplasms Radiotherapy Planning, Computer-Assisted Quality Assurance, Health Care Deep Learning Organs at Risk
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A deep learning-based 3D Prompt-nnUnet model for automatic segmentation in brachytherapy of postoperative endometrial carcinoma.

Journal of applied clinical medical physics Apr 29, 2024
PURPOSE: To create and evaluate a three-dimensional (3D) Prompt-nnUnet module that utilizes the prompts-based model combined with 3D nnUnet for producing the rapid and consistent autosegmentation of high-risk clinical target volume (HR CTV) and organ...
Female Deep Learning Humans Imaging, Three-Dimensional Algorithms Radiotherapy Dosage Image Processing, Computer-Assisted Organs at Risk Endometrial Neoplasms Prognosis Radiotherapy, Intensity-Modulated Radiotherapy Planning, Computer-Assisted Tomography, X-Ray Computed Brachytherapy
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Clinical VMAT machine parameter optimization for localized prostate cancer using deep reinforcement learning.

Medical physics Apr 26, 2024
BACKGROUND: Volumetric modulated arc therapy (VMAT) machine parameter optimization (MPO) remains computationally expensive and sensitive to input dose objectives creating challenges for manual and automatic planning. Reinforcement learning (RL) invol...
Radiotherapy, Intensity-Modulated Humans Prostatic Neoplasms Radiotherapy Planning, Computer-Assisted Machine Learning Radiotherapy Dosage Male Deep Learning
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Dosimetric impact of contour editing on CT and MRI deep-learning autosegmentation for brain OARs.

Journal of applied clinical medical physics Apr 25, 2024
PURPOSE: To establish the clinical applicability of deep-learning organ-at-risk autocontouring models (DL-AC) for brain radiotherapy. The dosimetric impact of contour editing, prior to model training, on performance was evaluated for both CT and MRI-...
Humans Tomography, X-Ray Computed Image Processing, Computer-Assisted Magnetic Resonance Imaging Brain Neoplasms Deep Learning Radiotherapy, Intensity-Modulated Radiometry Organs at Risk Radiotherapy Planning, Computer-Assisted Radiotherapy Dosage
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In vivo EPID-based daily treatment error identification for volumetric-modulated arc therapy in head and neck cancers with a hierarchical convolutional neural network: a feasibility study.

Physical and engineering sciences in medicine Apr 22, 2024
We proposed a deep learning approach to classify various error types in daily VMAT treatment of head and neck cancer patients based on EPID dosimetry, which could provide additional information to support clinical decisions for adaptive planning. 146...
Deep Learning Head and Neck Neoplasms Feasibility Studies Radiotherapy Planning, Computer-Assisted Humans Radiotherapy, Intensity-Modulated Radiotherapy Dosage Neural Networks, Computer Electrical Equipment and Supplies
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Deep learning-based optimization of field geometry for total marrow irradiation delivered with volumetric modulated arc therapy.

Medical physics Apr 18, 2024
BACKGROUND: Total marrow (lymphoid) irradiation (TMI/TMLI) is a radiotherapy treatment used to selectively target the bone marrow and lymph nodes in conditioning regimens for allogeneic hematopoietic stem cell transplantation. A complex field geometr...
Radiotherapy Planning, Computer-Assisted Radiotherapy Dosage Radiotherapy, Intensity-Modulated Humans Deep Learning Bone Marrow
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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...
Middle Aged Aged Humans Radiotherapy Dosage Endometrial Neoplasms Deep Learning Adult Radiotherapy, Intensity-Modulated Algorithms Radiotherapy Planning, Computer-Assisted Uterine Cervical Neoplasms Female
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