Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10609/147654
Título : Clinical evaluation of automated quantitative MRI reports for assessment of hippocampal sclerosis
Autoría: 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  
Otros: 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
Resumen : 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.
Palabras clave : epilepsia
lóbulo temporal
hipocampo
biomarcadores
imagen por resonancia magnética
DOI: https://doi.org/10.1007/s00330-020-07075-2
Tipo de documento: info:eu-repo/semantics/article
Versión del documento: info:eu-repo/semantics/publishedVersion
Fecha de publicación : 2-ene-2021
Licencia de publicación: https://creativecommons.org/licenses/by/4.0/  
Aparece en las colecciones: Articles
Articles cientÍfics

Ficheros en este ítem:
Fichero Descripción Tamaño Formato  
Clinical_evaluation_of_automated_quantitative_MRI_reports_for_assessment_of_hippocampal_sclerosis.pdf3,7 MBAdobe PDFVista previa
Visualizar/Abrir
Comparte:
Exporta:
Consulta las estadísticas

Los ítems del Repositorio están protegidos por copyright, con todos los derechos reservados, a menos que se indique lo contrario.