In this study, we evaluated the intra- and inter-observer variability when determining the insertion and origin sites of knee ligaments on MRI scan images. We collected data of five observers with different backgrounds, who determined the ligament attachment sites in an MRI scan of a right knee of a 66-year-old male cadaver donor. We evaluated the intra- and inter-observer differences between the ligament attachment center points, and also determined the differences relative to a physical measurement performed on the same cadaver. The largest mean intra- and inter-observer differences were 4.30mm (ACL origin) and 16.81mm (superficial MCL insertion), respectively. Relative to the physical measurement, the largest intra- and inter-observer differences were 31.84mm (superficial MCL insertion) and 23.39mm (deep MCL insertion), respectively. The results indicate that, dependent on the location, a significant variation can occur when identifying the attachment site of the knee ligaments. This finding is of particular importance when creating computational models based on MRI data, as the variations in attachment sites may have a considerable effect on the biomechanical behavior of the human knee joint.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1016/j.medengphy.2014.02.016 | DOI Listing |
Dent Traumatol
January 2025
Department of Endodontology, Maurice and Gabriela Goldschleger School of Dental Medicine, Tel Aviv University, Tel Aviv, Israel.
Background/aim: To explore transfer learning (TL) techniques for enhancing vertical root fracture (VRF) diagnosis accuracy and to assess the impact of artificial intelligence (AI) on image enhancement for VRF detection on both extracted teeth images and intraoral images taken from patients.
Materials And Methods: A dataset of 378 intraoral periapical radiographs comprising 195 teeth with fractures and 183 teeth without fractures serving as controls was included. DenseNet, ConvNext, Inception121, and MobileNetV2 were employed with model fusion.
J Orthop Sci
January 2025
Department of Orthopaedic Surgery, Maulana Azad Medical College & Associated Lok Nayak Hospital, New Delhi, 110002, India. Electronic address:
Background: The influence of advanced imaging modalities on the reliability of 2018 AO/OTA classification and detection of features contributing to fracture instability have not been adequately studied in the literature.
Methods: This prospective study was conducted to assess the reliability of 2018 AO/OTA classification for trochanteric femoral fractures, and features of instability in 50 patients using radiographs, multiplanar reformats (MPR), and 3D-reconstruction with fracture segmentation (3DR-FS) by 3 observers on 2 occasions at an interval of 4 weeks.
Results: Mean inter-observer reliabilities on radiographs, MPR, 3DR-FS were 0.
Eur Spine J
January 2025
Department of Orthopaedic Surgery, Medical College of Wisconsin, Milwaukee, USA.
Purpose: No studies have explored the reliability of the Rigo classification system using surface topography (ST), which would allow optimization without radiation exposure. This study aims to measure and compare the intra- and inter-observer reliability (Kappa values) and accuracy of the Rigo system between ST and X-ray for overall types and subtypes.
Methods: X-ray and ST images of 31 adolescent idiopathic scoliosis patients were selected.
J Perinat Med
January 2025
Perinatal Imaging Research Group, School of Clinical Medicine, Discipline of Women's Health, Faculty of Medicine, University of New South Wales, Sydney, NSW, Australia.
Objectives: Multiple techniques have been proposed for functional fetal cardiology, including pulsed-wave (PW) and tissue Doppler imaging (TDI), Myocardial Performance Index (MPI), annular plane systolic excursion (TAPSE/MAPSE) and spatiotemporal image correlation (STIC). We aimed to compare these techniques' achievability and reproducibility to determine their clinical utility for each cardiac side.
Methods: Uncomplicated pregnancies from 22 to 39 weeks were recruited and images and volumes stored for offline analysis.
Sci Rep
January 2025
Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden.
Subject-specific parameters in lumped hemodynamic models of the cardiovascular system can be estimated using data from experimental measurements, but the parameter estimation may be hampered by the variability in the input data. In this study, we investigate the influence of inter-sequence, intra-observer, and inter-observer variability in input parameters on estimation of subject-specific model parameters using a previously developed approach for model-based analysis of data from 4D Flow MRI acquisitions and cuff pressure measurements. The investigated parameters describe left ventricular time-varying elastance and aortic compliance.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!