Purpose: The purpose of the study was to assess the inter-observer agreement on the qualitative and quantitative evaluation of relative signal intensity of liver lesions on delayed hepatobiliary phase (HBP) MRI with gadoxetate (Gd-EOB-DTPA).
Methods: 105 patients with liver lesions, who had delayed HPB MRI using gadoxetate were reviewed retrospectively. For each patient, four readers (two fellows in training and two attending radiologists) qualitatively assessed the relative SI of the largest representative lesion on a five point scale, and quantitatively measured the relative SI of the lesion to adjacent liver parenchyma using region of interests (ROI). Intra-class correlation (ICC) and kappa statistics with quadratic weights (k) analysis, and maximally selected rank statistic were performed.
Results: Substantial agreement between fellows (k = 0.719; ICC = 0.705) and almost perfect agreement between attending radiologists (k = 0.853; ICC = 0.849) were found for both qualitative and quantitative assessments of relative SI on delayed HPB imaging. A cut-off ratio to differentiate between hypointense and iso- to hyperintense lesions by ROI was calculated to be 0.90.
Conclusion: Inter-observer agreement of liver lesion relative SI on delayed HBP imaging is high and may improve with radiologist experience. A cut-off ratio of relative SI at 0.90 may be useful to quantitatively distinguish hypointense from iso- to hyperintense liver lesions.
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http://dx.doi.org/10.1007/s00261-015-0609-3 | DOI Listing |
Orthod Craniofac Res
January 2025
Oral and Maxillofacial Pathology and Oral Medicine, Faculty of Dentistry, University of Toronto, Toronto, Ontario, Canada.
Objectives: Radiographs are routinely acquired for orthodontic evaluation, and incidental findings (IFs) may be detected early as part of this routine care. This study aimed to assess the prevalence of IFs on panoramic radiographs taken for orthodontic assessment and evaluate the ability of orthodontists to detect, interpret and recommend management for IFs.
Materials And Methods: A retrospective analysis of 1756 patients aged 7-21 with a panoramic image taken for orthodontic evaluation was performed.
J Magn Reson Imaging
February 2025
BioMedical Engineering and Imaging Institute, Icahn School of Medicine Mount Sinai, New York, New York, USA.
Background: Several factors can impair image quality and reliability of liver magnetic resonance elastography (MRE), such as inadequate driver positioning, insufficient wave propagation and patient-related factors.
Purpose: To report initial results on automatic classification of liver MRE image quality using various deep learning (DL) architectures.
Study Type: Retrospective, single center, IRB-approved human study.
Abdom Radiol (NY)
January 2025
Mayo Clinic Rochester, Rochester, MN, USA.
Purpose: To determine whether renal cell carcinoma metastases (RCC-Mets) to the pancreas can be differentiated from pancreatic neuroendocrine tumors (PNETs) in patients with RCC on CT or MRI at presentation.
Methods: This retrospective study included patients with biopsy-proven RCC-Mets (n = 102) or PNETs (n = 32) at diagnosis or after nephrectomy for RCC. Inter-observer agreement (Cohen kappa) was assessed in 95 patients with independent reads by two radiologists, with discrepancies resolved by consensus for final analysis.
BMC Oral Health
January 2025
Resident of Oral and Maxillofacial Radiology, Isfahan University of Medical Sciences, Isfahan, Iran.
Background: Early detection of peri-implant bone defects can improve long-term durability of dental implants. By the advances in cone-beam computed tomography (CBCT) scanners and introduction of new algorithms, it is important to find the most efficient protocol for detection of bone defects. This study aimed to assess the efficacy of metal artifact reduction (MAR) and advanced noise reduction (ANR) algorithms for detection of peri-implant bone defects.
View Article and Find Full Text PDFPathologica
October 2024
Biolab, PoliToBIOMed Lab, Department of Electronics and Telecommunications, Politecnico di Torino, Turin, Italy.
Objective: Stain normalization is a technique used to standardize the color appearance of digital whole slide images (WSIs). This study aimed to assess the impact of digital stain normalization on prostate cancer diagnosis by pathologists.
Methods: A multi-institutional board of four pathologists evaluated 407 hematoxylin and eosin (H&E) prostate WSIs before and after stain normalization.
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