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Purpose: To determine the interreader agreement for incomplete retinal pigment epithelium (RPE) and outer retinal atrophy (iRORA) and complete RPE and outer retinal atrophy (cRORA) and their related features in age-related macular degeneration (AMD).
Design: Interreader agreement study.
Participants: Twelve readers from 6 reading centers.
Methods: After formal training, readers qualitatively assessed 60 OCT B-scans from 60 eyes with AMD for 9 individual features associated with early atrophy and performed 7 different annotations to quantify the spatial extent of OCT features within regions of interest. The qualitative and quantitative features were used to derive the presence of iRORA and cRORA and also in an exploratory analysis to examine if agreement could be improved using different combinations of features to define OCT atrophy.
Main Outcome Measures: Interreader agreement based on Gwet's first-order agreement coefficient (AC) for qualitatively graded OCT features and classification of iRORA and cRORA, and smallest real difference (SRD) for quantitatively graded OCT features.
Results: Substantial or better interreader agreement was observed for all qualitatively graded OCT features associated with atrophy (AC = 0.63-0.87), except for RPE attenuation (AC = 0.46) and disruption (AC = 0.26). The lowest SRD for the quantitatively graded horizontal features was observed for the zone of choroidal hypertransmission (± 190.8 μm). Moderate agreement was found for a 3-category classification of no atrophy, iRORA, and cRORA (AC = 0.53). Exploratory analyses suggested a significantly higher level of agreement for a 3-category classification using (1) no atrophy; (2) presence of inner nuclear layer and outer plexiform layer subsidence, or a hyporeflective wedge-shaped band, as a less severe atrophic grade; and (3) the latter plus an additional requirement of choroidal hypertransmission of 250 μm or more for a more severe atrophic grade (AC = 0.68; P = 0.013).
Conclusions: Assessment of iRORA and cRORA, and most of their associated features, can be performed relatively consistently and robustly. A refined combination of features to define early atrophy could further improve interreader agreement.
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http://dx.doi.org/10.1016/j.oret.2021.03.008 | DOI Listing |
Eur Radiol Exp
September 2025
Department of Orthopaedics and Trauma Surgery, Orthopaedic Oncology, Musculoskeletal University Center Munich (MUM), University Hospital, LMU Munich, Munich, Germany.
Computed tomography (CT) and magnetic resonance imaging (MRI) are commonly used to assess femoral and tibial torsion. While CT offers high spatial resolution, it involves ionizing radiation. MRI avoids radiation but requires multiple sequences and extended acquisition time.
View Article and Find Full Text PDFSkeletal Radiol
September 2025
Department of Radiology, Federal University of Sao Paulo (UNIFESP), Napoleão de Barros St, 800, São Paulo, SP, 04024-000, Brazil.
Objective: To evaluate multiparametric MRI features of pediatric soft-tissue sarcomas, comparing pre-treatment and post-treatment features, and assessing correlation with clinical outcomes.
Materials And Methods: Retrospective cohort study, including pediatric patients (≤ 18 years) with histologically-confirmed soft-tissue sarcomas who underwent MRI with anatomic and functional sequences in consecutive series. Post-treatment MRI was available for a subset, and features were recorded by two readers.
Introduction: Precise prediction of pathological complete response (pCR) following neoadjuvant chemoradiotherapy (nCRT) in rectal cancer may identify candidates for non-operative management. The optimal selection of diagnostic tools is therefore of major clinical importance.
Methods: Clinical, laboratory, endoscopic and radiological data of patients with rectal cancer treated with nCRT and surgery at an academic medical center from 2010 to 2020 were retrospectively collected.
Eur J Radiol
August 2025
Department of Radiology, Pusan National University School of Medicine and Research Institute for Convergence of Biomedical Science and Technology, Pusan National University Yangsan Hospital, Beomeo-ri, Mulgeum-eup, Yangsan-si 626-770 Gyeongsangnam-do, Republic of Korea. Electronic address: kschoo061
Objectives: This study externally tests the performance of an artificial intelligence algorithm (AI) for diagnosing ascending aortic dilatation (AAD) using PA view chest radiography (PA CXR).
Materials And Methods: Two retrospectively collected cohorts with paired CXR/CT within 30 days (Group 1) and 90 days (Group 2) were gathered as external test sets. The performance of AI (DeepCatch X Aorta v1.
J Neuroimaging
September 2025
Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins Medical Institution, Baltimore, Maryland, USA.
Background: Alzheimer's disease (AD) and mild cognitive impairment (MCI) are two common conditions associated with cognitive decline. With global dementia cases rising, identifying the most accurate imaging method for diagnosis is essential.
Methods: Following Preferred Reporting Items for Systematic review and Meta-Analysis Protocols, we systematically reviewed studies utilizing arterial spin labeling magnetic resonance imaging (ASL-MRI) and [18F]-2-fluoro-2-deoxy-D-glucose positron emission tomography (FDG-PET) for neurodegenerative disorders.