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Reliability of a New Digital Tool for Photographic Analysis in Quantifying Body Asymmetry in Scoliosis

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Title: Reliability of a New Digital Tool for Photographic Analysis in Quantifying Body Asymmetry in Scoliosis
Authors: Javier, Pizones, Lucía, Moreno-Manzanaro, Anika, Pupak, Susana, Núñez-Pereira, Daniel, Larrieu, Louis, Boissiere, Sarah, Richner-Wunderlin, Markus, Loibl, Tais, Zulemyan, Altug, Yücekul, Sara, Zgheib, Yann Philippe, Charles, Dong-Gune, Chang, Frank, Kleinstueck, Ibrahim, Obeid, Ahmet, Alanay, Francisco Javier, Sánchez Pérez-Grueso, Ferran, Pellisé, On Behalf Of The Essg
Contributors: Institut Català de la Salut, [Pizones J, Moreno-Manzanaro L] Spine Unit, Department of Orthopedic Surgery, Hospital Universitario La Paz, Madrid, Spain. [Pupak A] Unitat de Recerca de la Columna Vertebral, Vall d’Hebron Institut de Recerca (VHIR), Barcelona, Spain. [Núñez-Pereira S, Pellisé F] Unitat de Recerca de la Columna Vertebral, Vall d’Hebron Hospital Universitari, Barcelona, Spain. [Larrieu D, Boissiere L] Spine Surgery Unit, Pellegrin University Hospital, Bordeaux, France, Vall d'Hebron Barcelona Hospital Campus
Source: J Clin Med
Scientia
Scientia. Dipòsit d'Informació Digital del Departament de Salut
instname
Brain and Spine, Vol 4, Iss, Pp 103311-(2024)
Publisher Information: Elsevier BV, 2024.
Publication Year: 2024
Subject Terms: Otros calificadores::Otros calificadores::Otros calificadores::/diagnóstico por imagen, INFORMATION SCIENCE::Information Science::Computing Methodologies::Image Processing, Computer-Assisted, Other subheadings::Other subheadings::Other subheadings::/diagnostic imaging, DISEASES::Musculoskeletal Diseases::Bone Diseases::Spinal Diseases::Spinal Curvatures::Scoliosis, Imatges - Processament - Tècniques digitals, Article, CIENCIA DE LA INFORMACIÓN::Ciencias de la información::metodologías computacionales::procesamiento de imágenes asistido por ordenador, 03 medical and health sciences, 0302 clinical medicine, Fotogrametria, ANALYTICAL, DIAGNOSTIC AND THERAPEUTIC TECHNIQUES, AND EQUIPMENT::Diagnosis::Diagnostic Techniques and Procedures::Diagnostic Imaging::Photography::Photogrammetry, ENFERMEDADES::enfermedades musculoesqueléticas::enfermedades óseas::enfermedades de la columna vertebral::desviaciones de la columna vertebral::escoliosis, TÉCNICAS Y EQUIPOS ANALÍTICOS, DIAGNÓSTICOS Y TERAPÉUTICOS::diagnóstico::técnicas y procedimientos diagnósticos::diagnóstico por imagen::fotograbar::fotogrametría, Neurology. Diseases of the nervous system, RC346-429, Escoliosi - Imatgeria
Description: Background: Advancements in non-ionizing methods for quantifying spinal deformities are crucial for assessing and monitoring scoliosis. In this study, we analyzed the observer variability of a newly developed digital tool for quantifying body asymmetry from clinical photographs. Methods: Prospective observational multicenter study. Initially, a digital tool was developed using image analysis software, calculating quantitative measures of body asymmetry. This tool was integrated into an online platform that exports data to a database. The tool calculated 10 parameters, including angles (shoulder height, axilla height, waist height, right and left waistline angles, and their difference) and surfaces of the left and right hemitrunks (shoulders, waists, pelvises, and total). Subsequently, an online training course on the tool was conducted for twelve observers not involved in its development (six research coordinators and six spine surgeons). Finally, 15 standardized back photographs of adolescent idiopathic scoliosis patients were selected from a multicenter image bank, representing various clinical scenarios (different age, gender, curve type, BMI, and pre- and postoperative images). The 12 observers measured the photographs at two different times with a three-week interval. For the second round, the images were randomly mixed. Inter- and intra-observer variabilities of the measurements were analyzed using intraclass correlation coefficients (ICCs), and reliability was measured by the standard error of measurement (SEM). Group comparisons were made using Student’s t-test. Results: The mean inter-observer ICC for the ten measurements was 0.981, the mean intra-observer ICC was 0.937, and SEM was 0.3–1.3°. The parameter with the strongest inter- and intra-observer validity was the difference in waistline angles 0.994 and 0.974, respectively, while the highest variability was found with the waist height angle 0.963 and 0.845, respectively. No test–retest differences (p > 0.05) were observed between researchers (0.948 ± 0.04) and surgeons (0.925 ± 0.05). Conclusion: We developed a new digital tool integrated into an online platform demonstrating excellent reliability and inter- and intra-observer variabilities for quantifying body asymmetry in scoliosis patients from a simple clinical photograph. The method could be used for assessing and monitoring scoliosis and body asymmetry without radiation.
Document Type: Article
Other literature type
File Description: application/pdf
Language: English
ISSN: 2772-5294
DOI: 10.1016/j.bas.2024.103311
DOI: 10.3390/jcm13072114
Access URL: https://pubmed.ncbi.nlm.nih.gov/38610880
https://hdl.handle.net/11351/11347
https://doaj.org/article/c36e367804dd4b658e1ac5bdb4be24d8
Rights: CC BY NC ND
CC BY
Accession Number: edsair.doi.dedup.....3c73e3912f2ba64d7a759948f4f9599a
Database: OpenAIRE
Description
Abstract:Background: Advancements in non-ionizing methods for quantifying spinal deformities are crucial for assessing and monitoring scoliosis. In this study, we analyzed the observer variability of a newly developed digital tool for quantifying body asymmetry from clinical photographs. Methods: Prospective observational multicenter study. Initially, a digital tool was developed using image analysis software, calculating quantitative measures of body asymmetry. This tool was integrated into an online platform that exports data to a database. The tool calculated 10 parameters, including angles (shoulder height, axilla height, waist height, right and left waistline angles, and their difference) and surfaces of the left and right hemitrunks (shoulders, waists, pelvises, and total). Subsequently, an online training course on the tool was conducted for twelve observers not involved in its development (six research coordinators and six spine surgeons). Finally, 15 standardized back photographs of adolescent idiopathic scoliosis patients were selected from a multicenter image bank, representing various clinical scenarios (different age, gender, curve type, BMI, and pre- and postoperative images). The 12 observers measured the photographs at two different times with a three-week interval. For the second round, the images were randomly mixed. Inter- and intra-observer variabilities of the measurements were analyzed using intraclass correlation coefficients (ICCs), and reliability was measured by the standard error of measurement (SEM). Group comparisons were made using Student’s t-test. Results: The mean inter-observer ICC for the ten measurements was 0.981, the mean intra-observer ICC was 0.937, and SEM was 0.3–1.3°. The parameter with the strongest inter- and intra-observer validity was the difference in waistline angles 0.994 and 0.974, respectively, while the highest variability was found with the waist height angle 0.963 and 0.845, respectively. No test–retest differences (p > 0.05) were observed between researchers (0.948 ± 0.04) and surgeons (0.925 ± 0.05). Conclusion: We developed a new digital tool integrated into an online platform demonstrating excellent reliability and inter- and intra-observer variabilities for quantifying body asymmetry in scoliosis patients from a simple clinical photograph. The method could be used for assessing and monitoring scoliosis and body asymmetry without radiation.
ISSN:27725294
DOI:10.1016/j.bas.2024.103311