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 , Helmut Butzkueven
{"title":"icobrain 在多发性硬化症临床实践中对脑容量测量的实用性。","authors":"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 , Helmut Butzkueven","doi":"10.1016/j.msard.2024.106148","DOIUrl":null,"url":null,"abstract":"<div><h3>Background</h3><div>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.</div></div><div><h3>Methods</h3><div>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.</div></div><div><h3>Results</h3><div>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.</div></div><div><h3>Conclusion</h3><div>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.</div></div>","PeriodicalId":18958,"journal":{"name":"Multiple sclerosis and related disorders","volume":"92 ","pages":"Article 106148"},"PeriodicalIF":2.9000,"publicationDate":"2024-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Utility of icobrain for brain volumetry in multiple sclerosis clinical practice\",\"authors\":\"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 , Helmut Butzkueven\",\"doi\":\"10.1016/j.msard.2024.106148\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Background</h3><div>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.</div></div><div><h3>Methods</h3><div>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.</div></div><div><h3>Results</h3><div>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.</div></div><div><h3>Conclusion</h3><div>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.</div></div>\",\"PeriodicalId\":18958,\"journal\":{\"name\":\"Multiple sclerosis and related disorders\",\"volume\":\"92 \",\"pages\":\"Article 106148\"},\"PeriodicalIF\":2.9000,\"publicationDate\":\"2024-11-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Multiple sclerosis and related disorders\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2211034824007247\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"CLINICAL NEUROLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Multiple sclerosis and related disorders","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2211034824007247","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"CLINICAL NEUROLOGY","Score":null,"Total":0}
Utility of icobrain for brain volumetry in multiple sclerosis clinical practice
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.
期刊介绍:
Multiple Sclerosis is an area of ever expanding research and escalating publications. Multiple Sclerosis and Related Disorders is a wide ranging international journal supported by key researchers from all neuroscience domains that focus on MS and associated disease of the central nervous system. The primary aim of this new journal is the rapid publication of high quality original research in the field. Important secondary aims will be timely updates and editorials on important scientific and clinical care advances, controversies in the field, and invited opinion articles from current thought leaders on topical issues. One section of the journal will focus on teaching, written to enhance the practice of community and academic neurologists involved in the care of MS patients. Summaries of key articles written for a lay audience will be provided as an on-line resource.
A team of four chief editors is supported by leading section editors who will commission and appraise original and review articles concerning: clinical neurology, neuroimaging, neuropathology, neuroepidemiology, therapeutics, genetics / transcriptomics, experimental models, neuroimmunology, biomarkers, neuropsychology, neurorehabilitation, measurement scales, teaching, neuroethics and lay communication.