Reliability of a New Digital Tool for Photographic Analysis in Quantifying Body Asymmetry in Scoliosis
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| Název: | Reliability of a New Digital Tool for Photographic Analysis in Quantifying Body Asymmetry in Scoliosis |
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| Autoři: | Pizones, Javier, Moreno-Manzanaro, Lucía, Pupak, Anika, LARRIEU, Daniel, boissiere, louis, Núñez-Pereira, Susana, Pellise, Ferran |
| Přispěvatelé: | 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 |
| Zdroj: | Scientia |
| Informace o vydavateli: | MDPI |
| Rok vydání: | 2024 |
| Témata: | Escoliosi - Imatgeria, Fotogrametria, Imatges - Processament - Tècniques digitals, INFORMATION SCIENCE::Information Science::Computing Methodologies::Image Processing, Computer-Assisted, DISEASES::Musculoskeletal Diseases::Bone Diseases::Spinal Diseases::Spinal Curvatures::Scoliosis, Other subheadings::Other subheadings::Other subheadings::/diagnostic imaging, ANALYTICAL, DIAGNOSTIC AND THERAPEUTIC TECHNIQUES, AND EQUIPMENT::Diagnosis::Diagnostic Techniques and Procedures::Diagnostic Imaging::Photography::Photogrammetry, CIENCIA DE LA INFORMACIÓN::Ciencias de la información::metodologías computacionales::procesamiento de imágenes asistido por ordenador, ENFERMEDADES::enfermedades musculoesqueléticas::enfermedades óseas::enfermedades de la columna vertebral::desviaciones de la columna vertebral::escoliosis, Otros calificadores::Otros calificadores::Otros calificadores::/diagnóstico por imagen, TÉCNICAS Y EQUIPOS ANALÍTICOS, DIAGNÓSTICOS Y TERAPÉUTICOS::diagnóstico::técnicas y procedimientos diagnósticos::diagnóstico por imagen::fotograbar::fotogrametría |
| Popis: | Body asymmetry; Clinical photography; Scoliosis assessment ; Asimetría corporal; Fotografía clínica; Evaluación de escoliosis ; Asimetria corporal; Fotografia clínica; Valoració de l'escoliosi ; 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 ... |
| Druh dokumentu: | article in journal/newspaper |
| Popis souboru: | application/pdf |
| Jazyk: | English |
| Relation: | Journal of Clinical Medicine;13(7); https://doi.org/10.3390/jcm13072114; https://hdl.handle.net/11351/11347 |
| DOI: | 10.3390/jcm13072114 |
| Dostupnost: | https://hdl.handle.net/11351/11347 https://doi.org/10.3390/jcm13072114 |
| Rights: | Attribution 4.0 International ; http://creativecommons.org/licenses/by/4.0/ ; info:eu-repo/semantics/openAccess |
| Přístupové číslo: | edsbas.CD225EC2 |
| Databáze: | BASE |
Nájsť tento článok vo Web of Science | Abstrakt: | Body asymmetry; Clinical photography; Scoliosis assessment ; Asimetría corporal; Fotografía clínica; Evaluación de escoliosis ; Asimetria corporal; Fotografia clínica; Valoració de l'escoliosi ; 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 ... |
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| DOI: | 10.3390/jcm13072114 |