Salta alla navigazione principale Salta alla ricerca Salta al contenuto principale

Utility of MRI quantitative analysis in assessment of audio-vestibular impairment

  • Universita Campus Bio-Medico di Roma
  • Campus Bio-Medico University and Fondazione Policlinico Universitario Campus Bio-Medico

Risultato della ricerca: Contributo in rivistaArticolo

Abstract

Objectives. To quantify inner ear fluid changes in patients with audiovestibular deficits by measuring signal intensity values; to correlate the signal intensity values of inner ear structures and audio-vestibular impairment severity. Methods. 26 patients with unilateral vestibulocochlear deficits underwent hearing and vestibular assessments and were categorised into severity classes using audiological and vestibular deficit scores. Normalised signal intensity values of inner ear structures were extracted from 3D-T2WI-MRI scans (nT2mean, nT2Max, nT2min) and signal intensity ratios were calculated using the unaffected ear as a reference. Results. Asymmetry ratios of nT2Max and nT2mean volumetric intensity values from the cochlea and entire inner ear discriminated severe hearing impairment from lesser deficits and diagnostic performance of nT2mean values was excellent. Conclusions. Quantitative MRI analysis may be a useful tool to assess the severity of auditory deficits. Asymmetry ratios of nT2mean and nT2Max signal intensity values derived from the cochlea and entire inner labyrinth are surrogate indicators of unilateral cochlear-vestibular deficits and may have potential prognostic value.
Lingua originaleInglese
pagine (da-a)135-143
Numero di pagine9
RivistaActa Otorhinolaryngologica Italica
Volume45
Numero di pubblicazione2
DOI
Stato di pubblicazionePubblicato - 2025

All Science Journal Classification (ASJC) codes

  • Otorinolaringoiatria

Keywords

  • MRI
  • audio-vestibular dysfunction
  • inner ear
  • quantitative analysis

Fingerprint

Entra nei temi di ricerca di 'Utility of MRI quantitative analysis in assessment of audio-vestibular impairment'. Insieme formano una fingerprint unica.

Cita questo