AIMC Topic: Organs at Risk

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Deep learning-based dose prediction to improve the plan quality of volumetric modulated arc therapy for gynecologic cancers.

Medical physics Sep 14, 2023
BACKGROUND: In recent years, deep-learning models have been used to predict entire three-dimensional dose distributions. However, the usability of dose predictions to improve plan quality should be further investigated.
Radiotherapy Planning, Computer-Assisted Radiotherapy Dosage Radiotherapy, Intensity-Modulated Deep Learning Organs at Risk Female Neoplasms Humans
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Consistency in contouring of organs at risk by artificial intelligence vs oncologists in head and neck cancer patients.

Acta oncologica (Stockholm, Sweden) Sep 13, 2023
BACKGROUND: In the Danish Head and Neck Cancer Group (DAHANCA) 35 trial, patients are selected for proton treatment based on simulated reductions of Normal Tissue Complication Probability (NTCP) for proton compared to photon treatment at the referrin...
Organs at Risk Radiotherapy Planning, Computer-Assisted Protons Humans Artificial Intelligence Head and Neck Neoplasms
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Geometric evaluations of CT and MRI based deep learning segmentation for brain OARs in radiotherapy.

Physics in medicine and biology Aug 29, 2023
Deep-learning auto-contouring (DL-AC) promises standardisation of organ-at-risk (OAR) contouring, enhancing quality and improving efficiency in radiotherapy. No commercial models exist for OAR contouring based on brain magnetic resonance imaging (MRI...
Tomography, X-Ray Computed Deep Learning Image Processing, Computer-Assisted Brain Retrospective Studies Organs at Risk Radiotherapy Planning, Computer-Assisted Head and Neck Neoplasms Magnetic Resonance Imaging Humans
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Clinical evaluation of deep learning-based automatic clinical target volume segmentation: a single-institution multi-site tumor experience.

La Radiologia medica Aug 19, 2023
PURPOSE: The large variability in tumor appearance and shape makes manual delineation of the clinical target volume (CTV) time-consuming, and the results depend on the oncologists' experience. Whereas deep learning techniques have allowed oncologists...
Deep Learning Mastectomy Radiotherapy Planning, Computer-Assisted Organs at Risk Tomography, X-Ray Computed Breast Neoplasms Male Humans
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Deep learning based automatic segmentation of organs-at-risk for 0.35 T MRgRT of lung tumors.

Radiation oncology (London, England) Aug 14, 2023
BACKGROUND AND PURPOSE: Magnetic resonance imaging guided radiotherapy (MRgRT) offers treatment plan adaptation to the anatomy of the day. In the current MRgRT workflow, this requires the time consuming and repetitive task of manual delineation of or...
Humans Organs at Risk Radiotherapy Planning, Computer-Assisted Deep Learning Image Processing, Computer-Assisted Lung Neoplasms Retrospective Studies Tomography, X-Ray Computed
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Feasibility evaluation of novel AI-based deep-learning contouring algorithm for radiotherapy.

Journal of applied clinical medical physics Jul 18, 2023
PURPOSE: To evaluate the clinical feasibility of the Siemens Healthineers AI-Rad Companion Organs RT VA30A (Organs-RT) auto-contouring algorithm for organs at risk (OARs) of the pelvis, thorax, and head and neck (H&N).
Algorithms Radiotherapy Planning, Computer-Assisted Deep Learning Feasibility Studies Organs at Risk Neck Humans
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Automated treatment planning for proton pencil beam scanning using deep learning dose prediction and dose-mimicking optimization.

Journal of applied clinical medical physics Jun 19, 2023
PURPOSE: The purpose of this study is to investigate the use of a deep learning architecture for automated treatment planning for proton pencil beam scanning (PBS).
Organs at Risk Humans Radiotherapy Planning, Computer-Assisted Protons Radiotherapy Dosage Retrospective Studies Radiotherapy, Intensity-Modulated Deep Learning Proton Therapy
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An investigation into the risk of population bias in deep learning autocontouring.

Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology Jun 16, 2023
BACKGROUND AND PURPOSE: To date, data used in the development of Deep Learning-based automatic contouring (DLC) algorithms have been largely sourced from single geographic populations. This study aimed to evaluate the risk of population-based bias by...
Observer Variation Europe Organs at Risk Radiotherapy Planning, Computer-Assisted Tomography, X-Ray Computed Deep Learning Humans Algorithms
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Incremental retraining, clinical implementation, and acceptance rate of deep learning auto-segmentation for male pelvis in a multiuser environment.

Medical physics Jun 7, 2023
BACKGROUND: Deep learning auto-segmentation (DLAS) models have been adopted in the clinic; however, they suffer from performance deterioration owing to the clinical practice variability. Some commercial DLAS software provide an incremental retraining...
Humans Deep Learning Image Processing, Computer-Assisted Male Organs at Risk Prostatic Neoplasms Radiotherapy Planning, Computer-Assisted Pelvis
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Delineation of clinical target volume and organs at risk in cervical cancer radiotherapy by deep learning networks.

Medical physics May 29, 2023
PURPOSE: Delineation of the clinical target volume (CTV) and organs-at-risk (OARs) is important in cervical cancer radiotherapy. But it is generally labor-intensive, time-consuming, and subjective. This paper proposes a parallel-path attention fusion...
Image Processing, Computer-Assisted Female Radiotherapy Planning, Computer-Assisted Humans Tomography, X-Ray Computed Uterine Cervical Neoplasms Organs at Risk Neck Deep Learning
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