Tehran University of Medical Sciences

Science Communicator Platform

Stay connected! Follow us on X network (Twitter):
Share this content! On (X network) By
The Diagnostic Performance of Cochlear Endolymphatic Hydrops and Perilymphatic Enhancement in Stratifying Meniere’S Disease Probabilities: A Meta-Analysis of Semi-Quantitative Mri-Based Grading Systems Publisher Pubmed



Azarpey N1 ; Seyedbaghernazeri SS2 ; Yazdani O1 ; Esbati R1 ; Boustani P2 ; Hajiabbasi M3 ; Torabi P2 ; Farazandeh D2 ; Farzaneh H4 ; Azizi A2 ; Amini B2 ; Ghasemi M2 ; Ghasemi Z5
Authors
Show Affiliations
Authors Affiliations
  1. 1. Department of Radiology, Shahid Beheshti University, Tehran, Iran
  2. 2. Faculty of Medicine, Tehran University of Medical Sciences, Tehran, Iran
  3. 3. Faculty of Medicine, Islamic Azad University of Tonekabon, Tonekabon, Iran
  4. 4. Department of Radiology, Iran University of Medical Sciences, Tehran, Iran
  5. 5. Department of Otorhinolaryngology-Head and Neck Surgery, Imam Khomeini Hospital Complex, Tehran University of Medical Sciences, Tehran, Iran

Source: PLoS ONE Published:2024


Abstract

Background The diagnosis of Meniere’s Disease (MD) presents significant challenges due to its complex symptomatology and the absence of definitive biomarkers. Advancements in MRI technology have spotlighted endolymphatic hydrops (EH) as a key pathological marker, necessitating a reevaluation of its diagnostic utility amidst the need for standardized and validated MRI-based grading scales. Methods Our meta-analysis scrutinized the diagnostic efficacy of semi-quantitative MRI-based cochlear endolymphatic hydrops (EH) and perilymphatic enhancement (PLE) grading systems in delineating clinically relevant discriminations: “Spotting” the shift from normal or asymptomatic ears to possible/probable MD (pMD), “Confirming” the progression to definite MD (dMD), and “Establishing” the presence of dMD. A thorough literature search up to October 2023 resulted in 35 pertinent studies, forming the basis of our analysis through a bivariate mixed-effects regression model. Results Using criteria from the American Academy of Otolaryngology-Head and Neck Surgery (AAO-HNS) and Barany Society, across varying thresholds and disease probabilities; the Establishment model at an EH grade 1 threshold revealed a sensitivity of 85.4% and a specificity of 82.7%. Adjusting the threshold to EH grade 2 results in a sensitivity increase to 92.1% (CI: 85.9–95.7) and a specificity decrease to 70.6% (CI: 64.5–76.1), with a DOR of 28.056 (CI: 14.917–52.770). The Confirmation model yields a DOR of 5.216, indicating a lower diagnostic accuracy. The Spotting model demonstrates a sensitivity of 48.3% (CI: 34.8–62.1) and a specificity of 88.0% (CI: 77.8–93.9), with a DOR of 6.882. The normal ears subgroup demonstrated a notably high specificity of 89.7%, while employing Nakashima’s criteria resulted in a reduced sensitivity of 74.9%, significantly diverging from other systems (p-value < 0.001). The PLE grading system showcased exceptional sensitivity of 98.4% (CI: 93.7–99.6, p-value < 0.001). Copyright: © 2024 Azarpey et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Experts (# of related papers)
Other Related Docs
20. Prediction of Intraperitoneal Adhesions in Repeated Cesarean Sections: A Systematic Review and Meta-Analysis, European Journal of Obstetrics and Gynecology and Reproductive Biology (2023)