AIMC Topic: Organs at Risk

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Clinical commissioning and introduction of an in-house artificial intelligence (AI) platform for automated head and neck intensity modulated radiation therapy (IMRT) treatment planning.

Journal of applied clinical medical physics Nov 6, 2024
BACKGROUND AND PURPOSE: To describe the clinical commissioning of an in-house artificial intelligence (AI) treatment planning platform for head-and-neck (HN) Intensity Modulated Radiation Therapy (IMRT).
Artificial Intelligence Algorithms User-Computer Interface Head and Neck Neoplasms Humans Radiotherapy, Intensity-Modulated Organs at Risk Radiotherapy Planning, Computer-Assisted Radiotherapy Dosage
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OSAIRIS: Lessons Learned From the Hospital-Based Implementation and Evaluation of an Open-Source Deep-Learning Model for Radiotherapy Image Segmentation.

Clinical oncology (Royal College of Radiologists (Great Britain)) Oct 18, 2024
Several studies report the benefits and accuracy of using autosegmentation for organ at risk (OAR) outlining in radiotherapy treatment planning. Typically, evaluations focus on accuracy metrics, and other parameters such as perceived utility and safe...
Deep Learning Head and Neck Neoplasms Prostatic Neoplasms Humans Male Organs at Risk Radiotherapy Planning, Computer-Assisted
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Clinical target volume (CTV) automatic delineation using deep learning network for cervical cancer radiotherapy: A study with external validation.

Journal of applied clinical medical physics Oct 14, 2024
PURPOSE: To explore the accuracy and feasibility of a proposed deep learning (DL) algorithm for clinical target volume (CTV) delineation in cervical cancer radiotherapy and evaluate whether it can perform well in external cervical cancer and endometr...
Algorithms Radiotherapy Planning, Computer-Assisted Deep Learning Prognosis Image Processing, Computer-Assisted Radiotherapy, Intensity-Modulated Radiotherapy Dosage Female Organs at Risk Endometrial Neoplasms Uterine Cervical Neoplasms Aged Humans Middle Aged Adult Neural Networks, Computer
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Evaluation of the accuracy of automated segmentation based on deep learning for prostate cancer patients.

Medical dosimetry : official journal of the American Association of Medical Dosimetrists Oct 8, 2024
PURPOSE: This study evaluated the accuracy of a commercial deep learning (DL)-based algorithm for segmenting the prostate, seminal vesicles (SV), and organs at risk (OAR) in patients with prostate cancer.
Deep Learning Humans Prostatic Neoplasms Magnetic Resonance Imaging Tomography, X-Ray Computed Organs at Risk Male
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Deep learning-based segmentation for high-dose-rate brachytherapy in cervical cancer using 3D Prompt-ResUNet.

Physics in medicine and biology Sep 27, 2024
To develop and evaluate a 3D Prompt-ResUNet module that utilized the prompt-based model combined with 3D nnUNet for rapid and consistent autosegmentation of high-risk clinical target volume (HRCTV) and organ at risk (OAR) in high-dose-rate brachyther...
Radiotherapy Dosage Radiotherapy Planning, Computer-Assisted Radiation Dosage Tomography, X-Ray Computed Brachytherapy Female Uterine Cervical Neoplasms Image Processing, Computer-Assisted Humans Organs at Risk Deep Learning Imaging, Three-Dimensional
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Online Adaptive Proton Therapy Facilitated by Artificial Intelligence-Based Autosegmentation in Pencil Beam Scanning Proton Therapy.

International journal of radiation oncology, biology, physics Sep 20, 2024
PURPOSE: Online adaptive proton therapy (oAPT) is essential to address interfractional anatomical changes in patients receiving pencil beam scanning proton therapy. Artificial intelligence (AI)-based autosegmentation can increase the efficiency and a...
Rectum Workflow Linear Energy Transfer Radiotherapy Dosage Tomography, X-Ray Computed Organs at Risk Feasibility Studies Proton Therapy Radiotherapy Planning, Computer-Assisted Male Humans Prostatic Neoplasms Artificial Intelligence Retrospective Studies
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Deep learning-based prediction of the dose-volume histograms for volumetric modulated arc therapy of left-sided breast cancer.

Medical physics Sep 18, 2024
BACKGROUND: The advancements in artificial intelligence and computational power have made deep learning an attractive tool for radiotherapy treatment planning. Deep learning has the potential to significantly simplify the trial-and-error process invo...
Breast Neoplasms Deep Learning Unilateral Breast Neoplasms Organs at Risk Humans Radiotherapy Planning, Computer-Assisted Female Radiotherapy Dosage Radiotherapy, Intensity-Modulated
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Evaluation of deep learning based dose prediction in head and neck cancer patients using two different types of input contours.

Journal of applied clinical medical physics Sep 16, 2024
PURPOSE: This study evaluates deep learning (DL) based dose prediction methods in head and neck cancer (HNC) patients using two types of input contours.
Radiotherapy, Intensity-Modulated Organs at Risk Radiotherapy Planning, Computer-Assisted Radiotherapy Dosage Prognosis Humans Deep Learning Head and Neck Neoplasms Software Algorithms
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Automated confidence estimation in deep learning auto-segmentation for brain organs at risk on MRI for radiotherapy.

Journal of applied clinical medical physics Sep 16, 2024
PURPOSE: We have built a novel AI-driven QA method called AutoConfidence (ACo), to estimate segmentation confidence on a per-voxel basis without gold standard segmentations, enabling robust, efficient review of automated segmentation (AS). We have de...
Humans Algorithms Deep Learning Image Processing, Computer-Assisted Retrospective Studies Brain Neoplasms Radiotherapy Planning, Computer-Assisted Glioma Radiotherapy Dosage Magnetic Resonance Imaging Organs at Risk Radiotherapy, Intensity-Modulated
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Deep learning method for predicting weekly anatomical changes in patients with nasopharyngeal carcinoma during radiotherapy.

Medical physics Sep 3, 2024
BACKGROUND: Patients may undergo anatomical changes during radiotherapy, leading to an underdosing of the target or overdosing of the organs at risk (OARs).
Nasopharyngeal Neoplasms Time Factors Cone-Beam Computed Tomography Image Processing, Computer-Assisted Radiotherapy Dosage Nasopharyngeal Carcinoma Organs at Risk Radiotherapy Planning, Computer-Assisted Humans Deep Learning
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