000135492 001__ 135492
000135492 005__ 20250923084430.0
000135492 0247_ $$2doi$$a10.3390/diagnostics14111067
000135492 0248_ $$2sideral$$a138655
000135492 037__ $$aART-2024-138655
000135492 041__ $$aeng
000135492 100__ $$0(orcid)0000-0003-1292-3163$$aAlbarova-Corral, Isabel$$uUniversidad de Zaragoza
000135492 245__ $$aA New Quantitative Tool for the Ultrasonographic Assessment of Tendons: A Reliability and Validity Study on the Patellar Tendon
000135492 260__ $$c2024
000135492 5060_ $$aAccess copy available to the general public$$fUnrestricted
000135492 5203_ $$aUltrasound is widely used for tendon assessment due to its safety, affordability, and portability, but its subjective nature poses challenges. This study aimed to develop a new quantitative analysis tool based on artificial intelligence to identify statistical patterns of healthy and pathological tendons. Furthermore, we aimed to validate this new tool by comparing it to experts’ subjective assessments. A pilot database including healthy controls and patients with patellar tendinopathy was constructed, involving 14 participants with asymptomatic (n = 7) and symptomatic (n = 7) patellar tendons. Ultrasonographic images were assessed twice, utilizing both the new quantitative tool and the subjective scoring method applied by an expert across five regions of interest. The database contained 61 variables per image. The robustness of the clinical and quantitative assessments was tested via reliability analyses. Lastly, the prediction accuracy of the quantitative features was tested via cross-validated generalized linear mixed-effects logistic regressions. These analyses showed high reliability for quantitative variables related to “Bone” and “Quality”, with ICCs above 0.75. The ICCs for “Edges” and “Thickness” varied but mostly exceeded 0.75. The results of this study show that certain quantitative variables are capable of predicting an expert’s subjective assessment with generally high cross-validated AUC scores. A new quantitative tool for the ultrasonographic assessment of the tendon was designed. This system is shown to be a reliable and valid method for evaluating the patellar tendon structure.
000135492 540__ $$9info:eu-repo/semantics/openAccess$$aAll rights reserved$$uhttp://www.europeana.eu/rights/rr-f/
000135492 590__ $$a3.3$$b2024
000135492 592__ $$a0.773$$b2024
000135492 591__ $$aMEDICINE, GENERAL & INTERNAL$$b57 / 332 = 0.172$$c2024$$dQ1$$eT1
000135492 593__ $$aInternal Medicine$$c2024$$dQ2
000135492 593__ $$aClinical Biochemistry$$c2024$$dQ2
000135492 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000135492 700__ $$0(orcid)0009-0005-1896-753X$$aSegovia-Burillo, José$$uUniversidad de Zaragoza
000135492 700__ $$0(orcid)0000-0001-9080-0543$$aMalo-Urriés, Miguel$$uUniversidad de Zaragoza
000135492 700__ $$aRíos-Asín, Izarbe$$uUniversidad de Zaragoza
000135492 700__ $$0(orcid)0000-0002-0174-789X$$aAsín, Jesús$$uUniversidad de Zaragoza
000135492 700__ $$0(orcid)0000-0003-3859-0248$$aCastillo-Mateo, Jorge$$uUniversidad de Zaragoza
000135492 700__ $$0(orcid)0000-0003-2461-8588$$aGracia-Tabuenca, Zeus$$uUniversidad de Zaragoza
000135492 700__ $$0(orcid)0000-0001-6961-7250$$aMorales-Hernández, Mario$$uUniversidad de Zaragoza
000135492 7102_ $$12007$$2265$$aUniversidad de Zaragoza$$bDpto. Métodos Estadísticos$$cÁrea Estadís. Investig. Opera.
000135492 7102_ $$11006$$2413$$aUniversidad de Zaragoza$$bDpto. Fisiatría y Enfermería$$cÁrea Fisioterapia
000135492 7102_ $$15001$$2600$$aUniversidad de Zaragoza$$bDpto. Ciencia Tecnol.Mater.Fl.$$cÁrea Mecánica de Fluidos
000135492 773__ $$g14, 11 (2024), 1067 [14 pp.]$$tDiagnostics$$x2075-4418
000135492 8564_ $$s1333437$$uhttps://zaguan.unizar.es/record/135492/files/texto_completo.pdf$$yVersión publicada
000135492 8564_ $$s2788995$$uhttps://zaguan.unizar.es/record/135492/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000135492 909CO $$ooai:zaguan.unizar.es:135492$$particulos$$pdriver
000135492 951__ $$a2025-09-22-14:42:26
000135492 980__ $$aARTICLE