AIMC Topic: Organs at Risk

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Deep learning-based classification of organs at risk and delineation guideline in pelvic cancer radiation therapy.

Journal of applied clinical medical physics May 12, 2023
Deep learning (DL) models for radiation therapy (RT) image segmentation require accurately annotated training data. Multiple organ delineation guidelines exist; however, information on the used guideline is not provided with the delineation. Extracti...
Humans Male Deep Learning Organs at Risk Pelvic Neoplasms Urinary Bladder Image Processing, Computer-Assisted Pelvis
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Patient selection for proton therapy using Normal Tissue Complication Probability with deep learning dose prediction for oropharyngeal cancer.

Medical physics May 4, 2023
BACKGROUND: In cancer care, determining the most beneficial treatment technique is a key decision affecting the patient's survival and quality of life. Patient selection for proton therapy (PT) over conventional radiotherapy (XT) currently entails co...
Proton Therapy Oropharyngeal Neoplasms Quality of Life Organs at Risk Humans Probability Radiotherapy Dosage Radiotherapy Planning, Computer-Assisted Artificial Intelligence Deep Learning Radiotherapy, Intensity-Modulated Patient Selection
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A comparative study of deep learning-based knowledge-based planning methods for 3D dose distribution prediction of head and neck.

Journal of applied clinical medical physics May 3, 2023
PURPOSE: In this paper, we compare four novel knowledge-based planning (KBP) algorithms using deep learning to predict three-dimensional (3D) dose distributions of head and neck plans using the same patients' dataset and quantitative assessment metri...
Humans Deep Learning Neck Head Radiotherapy Dosage Radiotherapy, Intensity-Modulated Organs at Risk Radiotherapy Planning, Computer-Assisted
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First Report On Physician Assessment and Clinical Acceptability of Custom-Retrained Artificial Intelligence Models for Clinical Target Volume and Organs-at-Risk Auto-Delineation for Postprostatectomy Patients.

Practical radiation oncology Apr 6, 2023
PURPOSE: To assess the clinical acceptability of a commercial deep-learning-based auto-segmentation (DLAS) prostate model that was retrained using institutional data for delineation of the clinical target volume (CTV) and organs-at-risk (OARs) for po...
Radiotherapy Planning, Computer-Assisted Prostatectomy Humans Artificial Intelligence Deep Learning Organs at Risk Male
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Geometric and dosimetric evaluation of deep learning based auto-segmentation for clinical target volume on breast cancer.

Journal of applied clinical medical physics Mar 15, 2023
BACKGROUND: Recently, target auto-segmentation techniques based on deep learning (DL) have shown promising results. However, inaccurate target delineation will directly affect the treatment planning dose distribution and the effect of subsequent radi...
Breast Neoplasms Deep Learning Organs at Risk Humans Mastectomy Radiotherapy Planning, Computer-Assisted Radiometry Female
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Validation of a Fully Automated Hybrid Deep Learning Cardiac Substructure Segmentation Tool for Contouring and Dose Evaluation in Lung Cancer Radiotherapy.

Clinical oncology (Royal College of Radiologists (Great Britain)) Mar 11, 2023
BACKGROUND AND PURPOSE: Accurate and consistent delineation of cardiac substructures is challenging. The aim of this work was to validate a novel segmentation tool for automatic delineation of cardiac structures and subsequent dose evaluation, with p...
Radiotherapy Planning, Computer-Assisted Heart Organs at Risk Deep Learning Image Processing, Computer-Assisted Lung Neoplasms Humans Tomography, X-Ray Computed
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Artificial intelligence-supported applications in head and neck cancer radiotherapy treatment planning and dose optimisation.

Radiography (London, England : 1995) Mar 6, 2023
INTRODUCTION: The aim of this review is to describe how various AI-supported applications are used in head and neck cancer radiotherapy treatment planning, and the impact on dose management in regards to target volume and nearby organs at risk (OARs)...
Organs at Risk Radiotherapy Planning, Computer-Assisted Artificial Intelligence Quality of Life Head and Neck Neoplasms Humans
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TrDosePred: A deep learning dose prediction algorithm based on transformers for head and neck cancer radiotherapy.

Journal of applied clinical medical physics Mar 3, 2023
BACKGROUND: Intensity-Modulated Radiation Therapy (IMRT) has been the standard of care for many types of tumors. However, treatment planning for IMRT is a time-consuming and labor-intensive process.
Radiotherapy Planning, Computer-Assisted Radiotherapy Dosage Radiotherapy, Intensity-Modulated Head and Neck Neoplasms Organs at Risk Algorithms Deep Learning Humans
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Contouring quality assurance methodology based on multiple geometric features against deep learning auto-segmentation.

Medical physics Feb 25, 2023
BACKGROUND: Contouring error is one of the top failure modes in radiation treatment. Multiple efforts have been made to develop tools to automatically detect segmentation errors. Deep learning-based auto-segmentation (DLAS) has been used as a baselin...
Radiotherapy Planning, Computer-Assisted Image Processing, Computer-Assisted Tomography, X-Ray Computed Organs at Risk Deep Learning
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Evaluation of auto-segmentation for brachytherapy of postoperative cervical cancer using deep learning-based workflow.

Physics in medicine and biology Feb 23, 2023
. The purpose of this study was to evaluate the accuracy of brachytherapy (BT) planning structures derived from Deep learning (DL) based auto-segmentation compared with standard manual delineation for postoperative cervical cancer.. We introduced a c...
Radiotherapy Planning, Computer-Assisted Brachytherapy Workflow Radiotherapy Dosage Humans Uterine Cervical Neoplasms Organs at Risk Female Deep Learning
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