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The OSCAR-MP Consensus Criteria for Quality Assessment of Retinal Optical Coherence Tomography Angiography

  • IMSVISUAL Consortium
  • Technische Universität München
  • University College London
  • Cleveland Clinic London
  • Munich Cluster for Systems Neurology (SyNergy)
  • Charité – Universitätsmedizin Berlin
  • Einstein Center Digital Future
  • Heinrich-Heine-University
  • Krankenhaus Maria Hilf
  • Medical Center for Hematology and Oncology Munich MVZ
  • University of Basel
  • Ludwig-Maximilians-Universität München
  • Universitätsklinikum Erlangen
  • Johns Hopkins School of Medicine
  • Monash University
  • Cedars-Sinai Medical Center
  • Hospital Universitari Vall d'Hebron
  • Universitätsklinikum Münster
  • Charles University
  • The National Institute for Health Research Blood and Transplant Unit (NIHR BTRU) in Donor Health and Genomics at the University of Cambridge
  • Hospital Miguel Servet
  • Universitatsspital Zurich
  • University College London
  • VU University Amsterdam
  • Amsterdam Neuroscience

Publikation: Beitrag in FachzeitschriftArtikelBegutachtung

25 Zitate (Scopus)

Abstract

Background and Objectives Optical coherence tomography angiography (OCTA) is a noninvasive high-resolution imaging technique for assessing the retinal vasculature and is increasingly used in various ophthalmologic, neuro-ophthalmologic, and neurologic diseases. To date, there are no validated consensus criteria for quality control (QC) of OCTA. Our study aimed to develop criteria for OCTA quality assessment. Methods To establish criteria through (1) extensive literature review on OCTA artifacts and image quality to generate standardized and easy-to-apply OCTA QC criteria, (2) application of OCTA QC criteria to evaluate interrater agreement, (3) identification of reasons for interrater disagreement, revision of OCTA QC criteria, development of OCTA QC scoring guide and training set, and (4) validation of QC criteria in an international, interdisciplinary multicenter study. Results We identified 7 major aspects that affect OCTA quality: (O) obvious problems, (S) signal strength, (C) centration, (A) algorithm failure, (R) retinal pathology, (M) motion artifacts, and (P) projection artifacts. Seven independent raters applied the OSCAR-MP criteria to a set of 40 OCTA scans from people with MS, Sjogren syndrome, and uveitis and healthy individuals. The interrater kappa was substantial (κ 0.67). Projection artifacts were the main reason for interrater disagreement. Because artifacts can affect only parts of OCTA images, we agreed that prior definition of a specific region of interest (ROI) is crucial for subsequent OCTA quality assessment. To enhance artifact recognition and interrater agreement on reduced image quality, we designed a scoring guide and OCTA training set. Using these educational tools, 23 raters from 14 different centers reached an almost perfect agreement (κ 0.92) for the rejection of poor-quality OCTA images using the OSCAR-MP criteria. Discussion We propose a 3-step approach for standardized quality control: (1) To define a specific ROI, (2) to assess the occurrence of OCTA artifacts according to the OSCAR-MP criteria, and (3) to evaluate OCTA quality based on the occurrence of different artifacts within the ROI. OSCAR-MP OCTA QC criteria achieved high interrater agreement in an international multicenter study and is a promising QC protocol for application in the context of future clinical trials and studies.

OriginalspracheEnglisch
Aufsatznummere200169
FachzeitschriftNeurology: Neuroimmunology and NeuroInflammation
Jahrgang10
Ausgabenummer6
DOIs
PublikationsstatusVeröffentlicht - 9 Okt. 2023

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