Automatic quantification of fat infiltration in paraspinal muscles using T2-weighted images: An OsiriX application

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dc.contributor.authorArrieta, Cristobal
dc.contributor.authorUrrutia, Julio
dc.contributor.authorBesa, Pablo
dc.contributor.authorMontalba, Cristian
dc.contributor.authorLafont, Nelson
dc.contributor.authorAndia, Marcelo E.
dc.contributor.authorUribe, Sergio
dc.date.accessioned2024-01-10T12:37:45Z
dc.date.available2024-01-10T12:37:45Z
dc.date.issued2020
dc.description.abstractFat infiltration of paraspinal muscles has been related with low back pain and quantified using T2w MR images and manual segmentation techniques. This methodology is time consuming and has low reproducibility. Moreover, the accuracy of T2w images to quantify fat has not been validated. This paper presents the development and validation of an OsiriX application to semi-automatically segment infiltrated fat on T2w images. This software was also utilized to validate the quantification of muscle fat infiltration with T2w images, considering Dixon fat images assessments as a gold standard.
dc.description.abstractTwo databases have been considered: 1)T2w images of 37 patients for comparison between manual and semi-automatic segmentations; 2)T2w and Dixon fat images of 10 healthy volunteers and 10 patients to validate the use of T2w images. The OsiriX application was based on automatic thresholding techniques. The fat infiltration fraction was measured in 4 muscle groups (erector spinae and multifidus) and in 5 cross-sectional areas (from L1-L2 to L5-S1) for both databases. From the 37 patients, we randomly selected 15 patients to assess reproducibility of the measurements.
dc.description.abstractManual and automatic fat quantifications using T2w images showed a correlation of 0.86, no statistical differences, bias of 0.05 % of the muscle area, and limits of agreement of [-12.52, 12.63]% of muscle area. Fat quantifications using Dixon and T2w images showed correlation of 0.94, no statistical differences, bias of 0.38 % of the muscle area, and limits of agreement of [-8.64, 9.41]% of the muscle area.
dc.description.abstractT2w images segmented with this new OsiriX application are reliable and accurate for quantifying fat infiltration in paraspinal muscles. (C) 2019 Published by Elsevier Ltd.
dc.description.funderFONDECYT Postdoctorado2019
dc.description.funderMillennium Science Initiative of the Ministry of Economy, Development and Tourism, grant Nucleus for Cardiovascular Magnetic Resonance
dc.description.funderFONDECYT
dc.fechaingreso.objetodigital21-03-2024
dc.format.extent7 páginas
dc.fuente.origenWOS
dc.identifier.doi10.1016/j.bspc.2019.101793
dc.identifier.eissn1746-8108
dc.identifier.issn1746-8094
dc.identifier.urihttps://doi.org/10.1016/j.bspc.2019.101793
dc.identifier.urihttps://repositorio.uc.cl/handle/11534/76915
dc.identifier.wosidWOS:000512481800004
dc.information.autorucMedicina;Andia Kohnenkampf Marcelo Edga;S/I;90691
dc.information.autorucIngeniería;Arrieta Pellegrin Cristobal Ig;S/I;148591
dc.information.autorucMedicina;Besa Vial Pablo Jose;S/I;162788
dc.information.autorucIngeniería;Uribe Arancibia Sergio Andres;S/I;16572
dc.information.autorucMedicina;Urrutia Escobar Julio Octavio;S/I;69910
dc.language.isoen
dc.nota.accesocontenido parcial
dc.publisherELSEVIER SCI LTD
dc.revistaBIOMEDICAL SIGNAL PROCESSING AND CONTROL
dc.rightsacceso restringido
dc.subjectT2w images
dc.subjectDixon methods
dc.subjectFat segmentation
dc.subjectLow back pain
dc.subjectParaspinal muscles
dc.subjectOsiriX application
dc.subjectLOW-BACK-PAIN
dc.subjectCROSS-SECTIONAL AREA
dc.subjectGOUTALLIER CLASSIFICATION
dc.subjectDEGENERATION
dc.subjectRELIABILITY
dc.subjectSOFTWARE
dc.subject.ods03 Good Health and Well-being
dc.subject.odspa03 Salud y bienestar
dc.titleAutomatic quantification of fat infiltration in paraspinal muscles using T2-weighted images: An OsiriX application
dc.typeartículo
dc.volumen57
sipa.codpersvinculados90691
sipa.codpersvinculados148591
sipa.codpersvinculados162788
sipa.codpersvinculados16572
sipa.codpersvinculados69910
sipa.indexWOS
sipa.indexScopus
sipa.trazabilidadCarga SIPA;09-01-2024
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