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dc.contributor.authorSeiffert, Alexander P.
dc.contributor.authorGómez-Grande, Adolfo
dc.contributor.authorPilkington, Patrick
dc.contributor.authorCara, Paula
dc.contributor.authorBueno, Hector 
dc.contributor.authorEstenoz, Juana
dc.contributor.authorGómez, Enrique J.
dc.contributor.authorSánchez-González, Patricia
dc.date.accessioned2020-10-08T08:50:24Z
dc.date.available2020-10-08T08:50:24Z
dc.date.issued2020-08
dc.identifier.citationAppl Sci. 2020; 10(15):11es_ES
dc.identifier.urihttp://hdl.handle.net/20.500.12105/11109
dc.description.abstractChronic thromboembolic pulmonary hypertension (CTEPH) is confirmed by visual analysis of single-photon emission computer tomography (SPECT) ventilation and perfusion (V/Q) images. Defects in the perfusion image discordant with the ventilation image indicate obstructed segments and the positive diagnosis of CTEPH. A quantitative metric and classification algorithm are proposed based on volumetric data from SPECT V/Q images. The difference in ventilation and perfusion volumes (VV-P) is defined as a quantitative metric to identify discordant defects in the SPECT images. The algorithm was validated with 22 patients grouped according to their diagnosis: (1) CTEPH and (2) respiratory pathology. Volumetric data from SPECT perfusion images was also compared before and after treatment for CTEPH. CTEPH was detected with a sensitivity of 0.67 and specificity of 0.80. The performance of volumetric data from SPECT perfusion images for the evaluation of treatment response was studied for two cases and improvement of pulmonary perfusion was observed in one case. This study uses volumetric data from SPECT V/Q images for the diagnosis of CTEPH and its differentiation from respiratory pathologies. The results indicate that the defined metric is a viable option for a quantitative analysis of SPECT V/Q images.es_ES
dc.language.isoenges_ES
dc.publisherMultidisciplinary Digital Publishing Institute (MDPI) es_ES
dc.type.hasVersionVoRes_ES
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subjectCTEPHes_ES
dc.subjectPulmonary hypertensiones_ES
dc.subjectSPECT V/Qes_ES
dc.subjectQuantificationes_ES
dc.subjectSegmentationes_ES
dc.subjectComputer-assisted diagnosises_ES
dc.subjectTreatment responsees_ES
dc.titleAutomatic Diagnosis of Chronic Thromboembolic Pulmonary Hypertension Based on Volumetric Data from SPECT Ventilation and Perfusion Imageses_ES
dc.typejournal articlees_ES
dc.rights.licenseAtribución 4.0 Internacional*
dc.format.volume10es_ES
dc.format.number15es_ES
dc.format.page5360es_ES
dc.identifier.doi10.3390/app10155360es_ES
dc.description.peerreviewedes_ES
dc.identifier.e-issn2076-3417es_ES
dc.relation.publisherversionhttps://doi.org/10.3390/app10155360es_ES
dc.identifier.journalApplied Scienceses_ES
dc.repisalud.orgCNICCNIC::Grupos de investigación::Investigación Cardiovascular Traslacional Multidisciplinariaes_ES
dc.repisalud.institucionCNICes_ES
dc.rights.accessRightsopen accesses_ES


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Atribución 4.0 Internacional
Este Item está sujeto a una licencia Creative Commons: Atribución 4.0 Internacional