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A graphic user interface for the evaluation of knee osteoarthritis (GEKO): an open-source tool for histological grading.
Kloefkorn, H E; Jacobs, B Y; Xie, D F; Allen, K D.
Afiliación
  • Kloefkorn HE; J Crayton Pruitt Family Department of Biomedical Engineering, University of Florida, Gainesville, FL, United States. Electronic address: hkloefk@emory.edu.
  • Jacobs BY; J Crayton Pruitt Family Department of Biomedical Engineering, University of Florida, Gainesville, FL, United States. Electronic address: bjacobs@bme.ufl.edu.
  • Xie DF; J Crayton Pruitt Family Department of Biomedical Engineering, University of Florida, Gainesville, FL, United States. Electronic address: dfx24@ufl.edu.
  • Allen KD; J Crayton Pruitt Family Department of Biomedical Engineering, University of Florida, Gainesville, FL, United States. Electronic address: kyle.allen@bme.ufl.edu.
Osteoarthritis Cartilage ; 27(1): 114-117, 2019 01.
Article en En | MEDLINE | ID: mdl-30287396
OBJECTIVE: In osteoarthritis (OA) models, histology is commonly used to evaluate the severity of joint damage. Unfortunately, semi-quantitative histological grading systems include some level of subjectivity, and quantitative grading systems can be tedious to implement. The objective of this work is to introduce an open source, graphic user interface (GUI) for quantitative grading of knee OA. METHODS: Inspired by the 2010 OARSI histopathology recommendations for the rat, our laboratory has developed a GUI for the evaluation of knee OA, nicknamed GEKO. In this work, descriptions of the quantitative measures acquired by GEKO are presented and measured in 42 histological images from a rat knee OA model. Using these images, across-session and within-session reproducibility for individual graders is evaluated, and inter-grader reliability across different levels of OA severity is also assessed. RESULTS: GEKO allowed histological images to be quantitatively scored in less than 1 min per image. In addition, intra-class coefficients (ICCs) were largely above 0.8 for across-session reproducibility, within-session reproducibility, and inter-grader reliability. These data indicate GEKO aided in the reproducibility and repeatability of quantitative OA grading across graders and grading sessions. CONCLUSIONS: Our data demonstrate GEKO is a reliable and efficient method to calculate quantitative histological measures of knee OA in a rat model. GEKO reduced quantitative grading times relative to manual grading systems and allowed grader reproducibility and repeatability to be easily assessed within a grading session and across time. Moreover, GEKO is being provided as a free, open-source tool for the OA research community.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Artritis Experimental / Interfaz Usuario-Computador / Osteoartritis de la Rodilla Tipo de estudio: Prognostic_studies Límite: Animals Idioma: En Revista: Osteoarthritis Cartilage Asunto de la revista: ORTOPEDIA / REUMATOLOGIA Año: 2019 Tipo del documento: Article Pais de publicación: Reino Unido
Texto completo
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Artritis Experimental / Interfaz Usuario-Computador / Osteoartritis de la Rodilla Tipo de estudio: Prognostic_studies Límite: Animals Idioma: En Revista: Osteoarthritis Cartilage Asunto de la revista: ORTOPEDIA / REUMATOLOGIA Año: 2019 Tipo del documento: Article Pais de publicación: Reino Unido