Background Context: The AOSpine sacral classification scheme was recently described. It demonstrated substantial interobserver and excellent intraobserver agreement in the study describing it; however, an independent assessment has not been performed.
Purpose: To perform an independent inter- and intraobserver agreement evaluation of the AOSpine sacral fracture classification system.
Study Design: Agreement study.
Methods: Complete computerized tomography (CT) scans, including axial images, with coronal and sagittal reconstructions of 80 patients with sacral fractures were selected and classified using the morphologic grading of the AOSpine sacral classification system by six evaluators (from three different countries). Neurological modifiers and case-specific modifiers were not assessed. After a four-week interval, the 80 cases were presented to the same raters in a random sequence for repeat assessment. We used the Kappa coefficient (κ) to establish the inter- and intraobserver agreement.
Results: The interobserver agreement was substantial when considering the fracture severity types (A, B, or C), with κ=0.68 (0.63-0.72), but moderate when considering the subtypes: κ=0.52 (0.49-0.54). The intraobserver agreement was substantial considering the fracture types, with κ=0.69 (0.63-0.75), and considering subtypes, κ=0.61 (0.56-0.67).
Conclusion: The sacral classification system allows adequate interobserver agreement at the type level, but only moderate at the subtypes level. Future prospective studies should evaluate whether this classification system allows surgeons to decide the best treatment and to establish prognosis in patients with sacral fractures.
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http://dx.doi.org/10.1016/j.spinee.2021.02.005 | DOI Listing |
Int J Gen Med
January 2025
School of Biomedical Engineering & State Key Laboratory of Advanced Medical Materials and Devices, ShanghaiTech University, Shanghai, People's Republic of China.
Purpose: Conventional brain MRI protocols are time-consuming, which can lead to patient discomfort and inefficiency in clinical settings. This study aims to assess the feasibility of using artificial intelligence-assisted compressed sensing (ACS) to reduce brain MRI scan time while maintaining image quality and diagnostic accuracy compared to a conventional imaging protocol.
Patients And Methods: Seventy patients from the department of neurology underwent brain MRI scans using both conventional and ACS protocols, including axial and sagittal T2-weighted fast spin-echo sequences and T2-fluid attenuated inversion recovery (FLAIR) sequence.
Q J Nucl Med Mol Imaging
January 2025
Section of Nuclear Medicine and Diagnostic Imaging, International Atomic Energy Agency, Vienna, Austria.
Background: One can assess cortical defects on the early images of [99mTc]Tc-MAG3 renography. We aimed to assess interobserver and intraobserver reproducibility for detecting renal cortical defects using [99mTc]Tc-MAG3 for adults and children; identify causes for poor inter- and intraobserver reproducibility and to assess the effect of the kidney to background ratio (KTBR) on reproducibility.
Methods: One hundred adult and 200 pediatric renograms were included.
Diagn Interv Imaging
January 2025
UFR Santé INSERM U1096, Rouen 76183, France; Department of Radiology and Medical Imaging (Cardiac Imaging Unit), CHU de Rouen Normandie, Hôpital Charles Nicolle, University of Rouen Normandie, Rouen 76000, France. Electronic address:
Purpose: The purpose of this study was to determine the normal variations of myocardial T1, T2, and T2* relaxation times on cardiac MRI obtained at 1.5 T in healthy, sex-balanced volunteers aged between 18 and 69 years.
Material And Methods: A total of 172 healthy volunteers were recruited prospectively.
J Cardiovasc Magn Reson
January 2025
Department of Diagnostic and Interventional Radiology, University Hospital Würzburg, Würzburg, Germany.
Purpose: To investigate image quality and agreement of derived cardiac function parameters in a novel joint image reconstruction and segmentation approach based on disentangled representation learning, enabling real-time cardiac cine imaging during free-breathing.
Methods: A multi-tasking neural network architecture, incorporating disentangled representation learning, was trained using simulated examinations based on data from a public repository along with MR scans specifically acquired for model development. An exploratory feasibility study evaluated the method on undersampled real-time acquisitions using an in-house developed spiral bSSFP pulse sequence in eight healthy participants and five patients with intermittent atrial fibrillation.
J Clin Med
January 2025
Derby Fertility Unit, Royal Derby Hospital, University Hospital of Derby and Burton, Derby DE22 3NE, UK.
: The aim of this study is to assess the inter- and intra-observer reproducibility of the identification of direct and indirect ultrasonographic features of adenomyosis as defined by the revised Morphological Uterus Sonographic Assessment (MUSA) consensus (2022). : A cohort of 74 women, aged 18 to 45, were recruited from the recurrent miscarriage and general gynaecology clinic at a university-based fertility centre. All the participants underwent 2D and 3D transvaginal Ultrasound scan (TVS) examination in the late follicular and early luteal phase.
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