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Utility of icobrain for brain volumetry in multiple sclerosis clinical practice

  • Ai Lan Nguyen
  • , Maria Pia Sormani
  • , Dana Horakova
  • , Eva H. Havrdova
  • , Michael H. Barnett
  • , Nicola De Stefano
  • , Marco Battaglini
  • , Manuela Vaneckova
  • , Elaine Lui
  • , Frank Gaillard
  • , Patricia M. Desmond
  • , Hayden Prime
  • , Mineesh Datta
  • , Anneke Van der Walt
  • , Vilija G. Jokubaitis
  • , Femke Podevyn
  • , Robert Zivadinov
  • , Bianca Weinstock-Guttman
  • , Marie B. D'hooghe
  • , Guy Nagels
  • Vincent Van Pesch, Guy Laureys, Liesbeth Van Hijfte, Jeannette Lechner-Scott, Francesco Patti, Edgardo Cristiano, Juan I. Rojas, Diana M. Sima, Wim Van Hecke, Tomas Kalincik, Helmut Butzkueven
  • University of Melbourne
  • University of Genoa
  • Charles University
  • The University of Sydney
  • University of Siena
  • Royal Melbourne Hospital
  • Box Hill Hospital
  • Monash University
  • icometrix
  • National MS Center Melsbroek
  • Vrije Universiteit Brussel
  • University of Oxford
  • Université catholique de Louvain
  • Ghent University
  • Hunter New England Health
  • University of Newcastle
  • Hunter Medical Research Institute, Australia
  • University of Catania
  • Centro de Esclerosis Múltiple de Buenos Aires

Research output: Contribution to journalArticlepeer-review

4 Scopus citations

Abstract

Background: Few studies on multiple sclerosis (MS) have explored the variability of percentage brain volume change (PBVC) measurements obtained from different clinical MRIs. In a retrospective multicentre cohort study, we quantified the variability of annualised PBVC in clinical MRIs. Methods: Clinical MRIs of relapse-onset MS patients were assessed by icobrain. Volumetric data were analysed on same-scanner and different-scanner MRI pairs if they passed quality control criteria. Alignment similarity between two images had to be comparable to same-scanner scan-rescan images. Results: Of 6826 MRIs, 85 % had appropriate volumetric sequences and 4446 serial MRI pairs were analysed. 3334 (75 %) MRI pairs from 1207 patients met the inclusions. The PBVC of included MRI pairs showed variance of 0.78 % for same-scanner pairs and 0.80 % for different-scanner pairs. Further selection of included MRI pairs with the best variance resulted in 1885 (42 %) MRI pairs with PBVC variance of 0.34 %. Excluded MRI pairs with poor alignment similarity had variances of 2.97 % for same-scanner pairs and 20.79 % for different-scanner pairs. Conclusion: Icobrain should be utilised for PBVC determination only on selected MRIs with the best alignment similarity. Applying strict selection criteria for the included MRI pairs and longitudinal imaging on the same scanner remain mandatory to reduce PBVC variability.

Original languageEnglish
Article number106148
JournalMultiple Sclerosis and Related Disorders
Volume92
DOIs
StatePublished - Dec 2024

Keywords

  • Brain
  • Icometrix
  • Real-world
  • Variability
  • Volumetry

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