AIMC Topic: Pelvis
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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...
Clustering trunk movements of children and adolescents with neurological gait disorders undergoing robot-assisted gait therapy: the functional ability determines if actuated pelvis movements are clinically useful.
Journal of neuroengineering and rehabilitation
Jun 3, 2023
INTRODUCTION: Robot-assisted gait therapy is frequently used for gait therapy in children and adolescents but has been shown to limit the physiological excursions of the trunk and pelvis. Actuated pelvis movements might support more physiological tru...
Clinical Outcomes of Pelvic Lymph Node Dissection Before Versus After Robot-Assisted Laparoscopic Radical Cystectomy.
Journal of laparoendoscopic & advanced surgical techniques. Part A
Jun 1, 2023
The purpose of this study was to compare the clinical outcomes of bladder cancer patients treated with extended pelvic lymph node dissection (ePLND) before or after cystectomy under robotic-assisted radical cystectomy (RARC). A retrospective study ...
Single-Port Robotic Intersphincteric Resection for the Treatment of Rectal Cancer.
Surgical laparoscopy, endoscopy & percutaneous techniques
Jun 1, 2023
BACKGROUND: The da Vinci Single-port (SP) system is designed to facilitate single-incision robotic surgery in a narrow space. We developed a new procedure of intersphincteric resection (ISR) using the SP platform and evaluated the technical safety an...
A Deep Learning Tool for Automated Landmark Annotation on Hip and Pelvis Radiographs.
The Journal of arthroplasty
May 24, 2023
BACKGROUND: Automatic methods for labeling and segmenting pelvis structures can improve the efficiency of clinical and research workflows and reduce the variability introduced with manual labeling. The purpose of this study was to develop a single de...
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...
Comprehensive dose evaluation of a Deep Learning based synthetic Computed Tomography algorithm for pelvic Magnetic Resonance-only radiotherapy.
Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology
May 6, 2023
BACKGROUND AND PURPOSE: Magnetic Resonance (MR)-only radiotherapy enables the use of MR without the uncertainty of MR-Computed Tomography (CT) registration. This requires a synthetic CT (sCT) for dose calculations, which can be facilitated by a novel...
The diagnosis of femoroacetabular impingement can be made on pelvis radiographs using deep learning methods.
Joint diseases and related surgery
Apr 26, 2023
OBJECTIVES: The aim of this study was to evaluate diagnostic ability of deep learning models, particularly convolutional neural network models used for image classification, for femoroacetabular impingement (FAI) using hip radiographs.
Robotic resection of a lipoma in the deep lesser pelvis - a video vignette.
Colorectal disease : the official journal of the Association of Coloproctology of Great Britain and Ireland
Mar 27, 2023
Leg-Length Discrepancy Variability on Standard Anteroposterior Pelvis Radiographs: An Analysis Using Deep Learning Measurements.
The Journal of arthroplasty
Mar 9, 2023
BACKGROUND: Leg-length discrepancy (LLD) is a critical factor in component selection and placement for total hip arthroplasty. However, LLD radiographic measurements are subject to variation based on the femoral/pelvic landmarks chosen. This study le...
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