AIMC Topic: Rectum

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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...
Male Deep Learning Prostate Rectum Humans Retrospective Studies Organs at Risk Radiotherapy Planning, Computer-Assisted Urinary Bladder
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Label-driven magnetic resonance imaging (MRI)-transrectal ultrasound (TRUS) registration using weakly supervised learning for MRI-guided prostate radiotherapy.

Physics in medicine and biology Jun 26, 2020
Registration and fusion of magnetic resonance imaging (MRI) and transrectal ultrasound (TRUS) of the prostate can provide guidance for prostate brachytherapy. However, accurate registration remains a challenging task due to the lack of ground truth r...
Humans Male Ultrasonography Rectum Supervised Machine Learning Brachytherapy Radiotherapy, Image-Guided Imaging, Three-Dimensional Magnetic Resonance Imaging Prostatic Neoplasms
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Automatic segmentation of pelvic organs-at-risk using a fusion network model based on limited training samples.

Acta oncologica (Stockholm, Sweden) Jun 22, 2020
Efficient and accurate methods are needed to automatically segmenting organs-at-risk (OAR) to accelerate the radiotherapy workflow and decrease the treatment wait time. We developed and evaluated the use of a fused model Dense V-Network for its abil...
Urinary Bladder Spinal Cord Time-to-Treatment Femur Uterine Cervical Neoplasms Humans Neural Networks, Computer Deep Learning Algorithms Workflow Intestines Female Pelvis Organs at Risk Rectum
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RapidBrachyDL: Rapid Radiation Dose Calculations in Brachytherapy Via Deep Learning.

International journal of radiation oncology, biology, physics May 12, 2020
PURPOSE: Detailed and accurate absorbed dose calculations from radiation interactions with the human body can be obtained with the Monte Carlo (MC) method. However, the MC method can be slow for use in the time-sensitive clinical workflow. The aim of...
Monte Carlo Method Humans Urinary Bladder Iridium Radioisotopes Prostate Rectum Colon, Sigmoid Uterine Cervical Neoplasms Brachytherapy Male Radiotherapy Dosage Deep Learning Organs at Risk Neural Networks, Computer Prostatic Neoplasms Radiotherapy Planning, Computer-Assisted Retrospective Studies Female
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Automated laparoscopic colorectal surgery workflow recognition using artificial intelligence: Experimental research.

International journal of surgery (London, England) May 12, 2020
BACKGROUND: Identifying laparoscopic surgical videos using artificial intelligence (AI) facilitates the automation of several currently time-consuming manual processes, including video analysis, indexing, and video-based skill assessment. This study ...
Rectum Workflow Aged, 80 and over Adult Male Clinical Competence Laparoscopy Middle Aged Colon Humans Neural Networks, Computer Female Aged
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Deep learning-based classification of rectal fecal retention and analysis of fecal properties using ultrasound images in older adult patients.

Japan journal of nursing science : JJNS May 11, 2020
AIM: The present study aimed to analyze the use of machine learning in ultrasound (US)-based fecal retention assessment.
Aged Deep Learning Feces Rectum Humans Constipation
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Conventional vs machine learning-based treatment planning in prostate brachytherapy: Results of a Phase I randomized controlled trial.

Brachytherapy Apr 19, 2020
PURPOSE: The purpose of this study was to evaluate the noninferiority of Day 30 dosimetry between a machine learning-based treatment planning system for prostate low-dose-rate (LDR) brachytherapy and the conventional, manual planning technique. As a ...
Radiotherapy Planning, Computer-Assisted Radiation Dosage Postoperative Period Radiometry Brachytherapy Radiotherapy Dosage Prostatic Neoplasms Rectum Workflow Iodine Radioisotopes Male Middle Aged Time Factors Humans Machine Learning Aged
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Robotic multivisceral resection for a locally advanced rectosigmoid cancer - a video vignette.

Colorectal disease : the official journal of the Association of Coloproctology of Great Britain and Ireland Mar 11, 2020
Robotics Humans Robotic Surgical Procedures Rectum Colorectal Neoplasms
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Comparison of statistical machine learning models for rectal protocol compliance in prostate external beam radiation therapy.

Medical physics Feb 19, 2020
PURPOSE: Limiting the dose to the rectum can be one of the most challenging aspects of creating a dosimetric external beam radiation therapy (EBRT) plan for prostate cancer treatment. Rectal sparing devices such as hydrogel spacers offer the prospect...
Humans Radiotherapy, Computer-Assisted Tomography, X-Ray Computed Machine Learning Prostatic Neoplasms Male Rectum Organs at Risk
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Use of Artificial Intelligence-Based Analytics From Live Colonoscopies to Optimize the Quality of the Colonoscopy Examination in Real Time: Proof of Concept.

Gastroenterology Jan 13, 2020
Mass Screening Colon Rectum Colonoscopy Image Interpretation, Computer-Assisted Humans Datasets as Topic Deep Learning Proof of Concept Study Prospective Studies Colorectal Neoplasms
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