Objective: Assess intraobserver agreement among endosonographers for endoscopic ultrasound (EUS) features of chronic pancreatitis (CP).
Methods: Thirty EUS images from patients with suspected CP were shown twice in random order to 5 blinded endosonographers. The following accepted features of CP were assessed: (1) hyperechoic foci, (2) hyperechoic strands, (3) lobularity, (4) cysts, (5) stones, (6) main pancreatic duct dilatation, (7) pancreatic duct irregularity, (8) hyperechoic duct margins, (9) visible side branches, and (10) overall assessment for CP. Intraobserver κ statistics were calculated for each endosonographer and for each feature. Interobserver κ was also calculated.
Results: The mean intraobserver κ values were 0.82, 0.65, 0.71, 0.59, and 0.86 for the 5 endosonographers. The mean intraobserver κ values for each feature were (1) 0.66, (2) 0.67, (3) 0.70, (4) not calculable, (5) 0.96, (6) 0.81, (7) 0.77, (8) 0.69, (9) 0.51, and (10) 0.73. The mean interobserver κ values were 0.19, 0.07, 0.53, not calculable, 0.77, 0.77, 0.60, 0.34, 0.11, and 0.39, respectively.
Conclusions: There was good intraobserver agreement in the interpretation of EUS features of CP. The intraobserver agreement seems better than the published interobserver agreement for EUS features of CP and better than the published intraobserver agreement for endoscopic retrograde cholangiopancreatography imaging for CP.
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http://dx.doi.org/10.1097/MPA.0b013e3182016a25 | DOI Listing |
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.
View Article and Find Full Text PDFDiagnostics (Basel)
January 2025
Department of Radiology, Kastamonu University, Kastamonu 37150, Turkey.
The role of artificial intelligence (AI) in radiological image analysis is rapidly evolving. This study evaluates the diagnostic performance of Chat Generative Pre-trained Transformer Omni (GPT-4 Omni) in detecting intracranial hemorrhages (ICHs) in non-contrast computed tomography (NCCT) images, along with its ability to classify hemorrhage type, stage, anatomical location, and associated findings. A retrospective study was conducted using 240 cases, comprising 120 ICH cases and 120 controls with normal findings.
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