AIMC Topic: Prostate

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A deep learning framework for prostate localization in cone beam CT-guided radiotherapy.

Medical physics Jul 27, 2020
PURPOSE: To develop a deep learning-based model for prostate planning target volume (PTV) localization on cone beam computed tomography (CBCT) to improve the workflow of CBCT-guided patient setup.
Cone-Beam Computed Tomography Prostatic Neoplasms Prostate Radiotherapy Planning, Computer-Assisted Humans Male Deep Learning Radiotherapy, Image-Guided
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A deep learning method for real-time intraoperative US image segmentation in prostate brachytherapy.

International journal of computer assisted radiology and surgery Jul 20, 2020
PURPOSE: This paper addresses the detection of the clinical target volume (CTV) in transrectal ultrasound (TRUS) image-guided intraoperative for permanent prostate brachytherapy. Developing a robust and automatic method to detect the CTV on intraoper...
Humans Algorithms Diagnosis, Computer-Assisted Deep Learning Ultrasonography Reproducibility of Results Male Artifacts Brachytherapy Models, Statistical Prostatic Neoplasms Prostate Workflow
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Comparison of machine learning algorithms to predict clinically significant prostate cancer of the peripheral zone with multiparametric MRI using clinical assessment categories and radiomic features.

European radiology Jul 16, 2020
OBJECTIVES: To analyze the performance of radiological assessment categories and quantitative computational analysis of apparent diffusion coefficient (ADC) maps using variant machine learning algorithms to differentiate clinically significant versus...
Multiparametric Magnetic Resonance Imaging Support Vector Machine Cluster Analysis Principal Component Analysis Area Under Curve Biopsy Prostatectomy Diffusion Magnetic Resonance Imaging Prostatic Neoplasms Prostate Adult Male Middle Aged Treatment Outcome Retrospective Studies Reproducibility of Results Aged Aged, 80 and over Humans Machine Learning Algorithms
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Automatic needle tracking using Mask R-CNN for MRI-guided percutaneous interventions.

International journal of computer assisted radiology and surgery Jul 16, 2020
PURPOSE: Accurate needle tracking provides essential information for MRI-guided percutaneous interventions. Passive needle tracking using MR images is challenged by variations of the needle-induced signal void feature in different situations. This wo...
Algorithms Male Magnetic Resonance Imaging Humans Prostate Neural Networks, Computer Needles Image-Guided Biopsy
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Deep learning applications in automatic needle segmentation in ultrasound-guided prostate brachytherapy.

Medical physics Jul 16, 2020
PURPOSE: High-Dose-Rate (HDR) brachytherapy is one of the most effective ways to treat the prostate cancer, which is the second most common cancer in men worldwide. This treatment delivers highly conformal dose through the transperineal needle implan...
Prostatic Neoplasms Ultrasonography, Interventional Humans Prostate Male Needles Deep Learning Brachytherapy
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Fast interactive medical image segmentation with weakly supervised deep learning method.

International journal of computer assisted radiology and surgery Jul 11, 2020
PURPOSE: To achieve accurate image segmentation, which is the first critical step in medical image analysis and interventions, using deep neural networks seems a promising approach provided sufficiently large and diverse annotated data from experts. ...
Tomography, X-Ray Computed Reproducibility of Results Male Echocardiography Humans Neural Networks, Computer Databases, Factual Prostatic Neoplasms Prostate Observer Variation Pattern Recognition, Automated Brachytherapy Diagnosis, Computer-Assisted Deep Learning Ultrasonography Image Processing, Computer-Assisted
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Machine Segmentation of Pelvic Anatomy in MRI-Assisted Radiosurgery (MARS) for Prostate Cancer Brachytherapy.

International journal of radiation oncology, biology, physics Jul 4, 2020
PURPOSE: To investigate machine segmentation of pelvic anatomy in magnetic resonance imaging (MRI)-assisted radiosurgery (MARS) for prostate cancer using prostate brachytherapy MRIs acquired with different pulse sequences and image contrasts.
Seminal Vesicles Prostate Deep Learning Pelvis Radiosurgery Entropy Cohort Studies Humans Rectum Urinary Bladder Urethra Image Processing, Computer-Assisted Neural Networks, Computer Brachytherapy Magnetic Resonance Imaging, Interventional Prostatic Neoplasms Retrospective Studies Male
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Clinical Evaluation of Deep Learning and Atlas-Based Auto-Contouring of Bladder and Rectum for Prostate Radiation Therapy.

Practical radiation oncology Jun 27, 2020
PURPOSE: Auto-contouring may reduce workload, interobserver variation, and time associated with manual contouring of organs at risk. Manual contouring remains the standard due in part to uncertainty around the time and workload savings after accounti...
Urinary Bladder Prostate Humans Rectum Retrospective Studies Organs at Risk Male Radiotherapy Planning, Computer-Assisted Deep Learning
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Retzius-sparing Robot-assisted Radical Prostatectomy Leads to Durable Improvement in Urinary Function and Quality of Life Versus Standard Robot-assisted Radical Prostatectomy Without Compromise on Oncologic Efficacy: Single-surgeon Series and Step-by-step Guide.

European urology Jun 11, 2020
BACKGROUND: Retzius-sparing robot-assisted radical prostatectomy (RS-RARP) has been shown to improve continence. However, questions remain regarding feasibility and generalizability of technique and outcomes.
Urinary Incontinence Humans Robotic Surgical Procedures Treatment Outcome Surgeons Prostate Robotics Prostatectomy Quality of Life Prostatic Neoplasms Retrospective Studies Margins of Excision Male
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Clinico-radiological characteristic-based machine learning in reducing unnecessary prostate biopsies of PI-RADS 3 lesions with dual validation.

European radiology Jun 10, 2020
OBJECTIVE: To evaluate machine learning-based classifiers in detecting clinically significant prostate cancer (PCa) with Prostate Imaging Reporting and Data System (PI-RADS) score 3 lesions.
Unnecessary Procedures Multiparametric Magnetic Resonance Imaging Prostate-Specific Antigen Prostate Validation Studies as Topic Image-Guided Biopsy Humans Decision Trees Area Under Curve Machine Learning Middle Aged Radiography Reproducibility of Results ROC Curve Retrospective Studies Prostatic Neoplasms Aged Logistic Models Ultrasonography Aged, 80 and over Support Vector Machine Male
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