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http://hdl.handle.net/10609/147654
Títol: | Clinical evaluation of automated quantitative MRI reports for assessment of hippocampal sclerosis |
Autoria: | Goodkin, Olivia Pemberton, Hugh Vos, Sjoerd B. Prados Carrasco, Ferran Das, Ravi K. Moggridge, James De Blasi, Bianca Bartlett, Philippa Williams, Elaine Campion, Thomas Haider, Lukas Pearce, Kirsten Bargallό, Nuria Sanchez, Esther Bisdas, Sotirios White, Mark Ourselin, Sebastien Winston, Gavin Duncan, John S Cardoso, Jorge Thornton, John S. Yousry, Tarek Barkhof, Frederik |
Altres: | University College London (UCL) Universitat Oberta de Catalunya (UOC). Estudis d'Informàtica, Multimèdia i Telecomunicació Medical University of Vienna Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS) VU University Medical Centre King’s College London Queen's University |
Resum: | Objectives; Hippocampal sclerosis (HS) is a common cause of temporal lobe epilepsy. Neuroradiological practice relies on visual assessment, but quantification of HS imaging biomarkers—hippocampal volume loss and T2 elevation—could improve detection. We tested whether quantitative measures, contextualised with normative data, improve rater accuracy and confidence. Methods; Quantitative reports (QReports) were generated for 43 individuals with epilepsy (mean age ± SD 40.0 ± 14.8 years, 22 men; 15 histologically unilateral HS; 5 bilateral; 23 MR-negative). Normative data was generated from 111 healthy individuals (age 40.0 ± 12.8 years, 52 men). Nine raters with different experience (neuroradiologists, trainees, and image analysts) assessed subjects’ imaging with and without QReports. Raters assigned imaging normal, right, left, or bilateral HS. Confidence was rated on a 5-point scale. Results; Correct designation (normal/abnormal) was high and showed further trend-level improvement with QReports, from 87.5 to 92.5% (p = 0.07, effect size d = 0.69). Largest magnitude improvement (84.5 to 93.8%) was for image analysts (d = 0.87). For bilateral HS, QReports significantly improved overall accuracy, from 74.4 to 91.1% (p = 0.042, d = 0.7). Agreement with the correct diagnosis (kappa) tended to increase from 0.74 (‘fair’) to 0.86 (‘excellent’) with the report (p = 0.06, d = 0.81). Confidence increased when correctly assessing scans with the QReport (p < 0.001, η2 p = 0.945). Conclusions; QReports of HS imaging biomarkers can improve rater accuracy and confidence, particularly in challenging bilateral cases. Improvements were seen across all raters, with large effect sizes, greatest for image analysts. These findings may have positive implications for clinical radiology services and justify further validation in larger groups. Key Points; • Quantification of imaging biomarkers for hippocampal sclerosis—volume loss and raised T2 signal—could improve clinical radiological detection in challenging cases. • Quantitative reports for individual patients, contextualised with normative reference data, improved diagnostic accuracy and confidence in a group of nine raters, in particular for bilateral HS cases. • We present a pre-use clinical validation of an automated imaging assessment tool to assist clinical radiology reporting of hippocampal sclerosis, which improves detection accuracy. |
Paraules clau: | epilèpsia lòbul temporal hipocamp biomarcadors imatges per ressonància magnètica |
DOI: | https://doi.org/10.1007/s00330-020-07075-2 |
Tipus de document: | info:eu-repo/semantics/article |
Versió del document: | info:eu-repo/semantics/publishedVersion |
Data de publicació: | 2-gen-2021 |
Llicència de publicació: | https://creativecommons.org/licenses/by/4.0/ |
Apareix a les col·leccions: | Articles Articles cientÍfics |
Arxius per aquest ítem:
Arxiu | Descripció | Mida | Format | |
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Clinical_evaluation_of_automated_quantitative_MRI_reports_for_assessment_of_hippocampal_sclerosis.pdf | 3,7 MB | Adobe PDF | Veure/Obrir |
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