Diagnostic accuracy of infrared thermography and textural features in patellar tendinopathy: optimizing ROI selection in athletes

[Objectives] To evaluate the diagnostic accuracy of infrared thermography (IT) using temperature difference (ΔT) and gray-level co-occurrence matrix (GLCM)-based textural parameters for detecting patellar tendinopathy (PT) in athletes, and to determine the optimal region of interest (ROI) size for a...

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Detalles Bibliográficos
Autores: Molina-Payá, Francisco Javier, Montero-Navarro, Sergio, Orts-Ruiz, Cristina, Salar-Andreu, Cristina, Brotons-Mas, Jorge R., Sánchez-Mas, Jesús
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2026
País:España
Institución:Consejo Superior de Investigaciones Científicas (CSIC)
Repositorio:DIGITAL.CSIC. Repositorio Institucional del CSIC
OAI Identifier:oai:digital.csic.es:10261/418053
Acceso en línea:http://hdl.handle.net/10261/418053
https://api.elsevier.com/content/abstract/scopus_id/105024728254
Access Level:acceso abierto
Palabra clave:Diagnostic accuracy
Infrared thermography
Patellar tendinopathy
Region of interest (ROI)
Textural analysis
Descripción
Sumario:[Objectives] To evaluate the diagnostic accuracy of infrared thermography (IT) using temperature difference (ΔT) and gray-level co-occurrence matrix (GLCM)-based textural parameters for detecting patellar tendinopathy (PT) in athletes, and to determine the optimal region of interest (ROI) size for analysis.

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