AIMC Topic: Pelvis

Clear Filters Showing 81 to 90 of 224 articles

Appraisal of the New Posture Analyzing and Virtual Reconstruction Device (PAViR) for Assessing Sagittal Posture Parameters: A Prospective Observational Study.

International journal of environmental research and public health
The purpose of this study was to report the clinical validation of the posture analyzing and virtual reconstruction device (PAViR) system, focusing on the accuracy of sagittal spinal parameters, compared with the EOS imaging system. Seventy patients ...

Effect of Peritoneal Fixation (PerFix) on Lymphocele Formation in Robot-assisted Radical Prostatectomy with Pelvic Lymphadenectomy: Results of a Randomized Prospective Trial.

European urology
BACKGROUND: Symptomatic lymphoceles present the most common complication of robot-assisted radical prostatectomy (RARP) with extended pelvic lymph node dissection (ePLND). No surgical technique has so far shown success in reducing the incidence rate,...

Application of Deep Learning in Generating Structured Radiology Reports: A Transformer-Based Technique.

Journal of digital imaging
Since radiology reports needed for clinical practice and research are written and stored in free-text narrations, extraction of relative information for further analysis is difficult. In these circumstances, natural language processing (NLP) techniqu...

Comparison of Transfer Learning Models in Pelvic Tilt and Rotation Measurement in Pediatric Anteroposterior Pelvic Radiographs.

Journal of digital imaging
The rotation and tilt of the pelvis during anteroposterior pelvic radiography can lead to misdiagnosis of developmental dysplasia of the hip (DDH) in children. At present, no method exists for accurately and conveniently measuring the precise rotatio...

Shadow-Consistent Semi-Supervised Learning for Prostate Ultrasound Segmentation.

IEEE transactions on medical imaging
Prostate segmentation in transrectal ultrasound (TRUS) image is an essential prerequisite for many prostate-related clinical procedures, which, however, is also a long-standing problem due to the challenges caused by the low image quality and shadow ...

AI-based optimization for US-guided radiation therapy of the prostate.

International journal of computer assisted radiology and surgery
OBJECTIVES: Fast volumetric ultrasound presents an interesting modality for continuous and real-time intra-fractional target tracking in radiation therapy of lesions in the abdomen. However, the placement of the ultrasound probe close to the target s...

Predicting Perceived Reporting Complexity of Abdominopelvic Computed Tomography With Deep Learning.

Journal of computer assisted tomography
OBJECTIVE: The purpose of this pilot study was to examine human and automated estimates of reporting complexity for computed tomography (CT) studies of the abdomen and pelvis.

Automatic contouring QA method using a deep learning-based autocontouring system.

Journal of applied clinical medical physics
PURPOSE: To determine the most accurate similarity metric when using an independent system to verify automatically generated contours.

Development of an anthropomorphic multimodality pelvic phantom for quantitative evaluation of a deep-learning-based synthetic computed tomography generation technique.

Journal of applied clinical medical physics
PURPOSE: The objective of this study was to fabricate an anthropomorphic multimodality pelvic phantom to evaluate a deep-learning-based synthetic computed tomography (CT) algorithm for magnetic resonance (MR)-only radiotherapy.