ความน่าเชื่อถือและความตรงของแอปพลิเคชันสโคลิโอมิเตอร์บนระบบปฏิบัติการแอนดรอยด์ในการคัดกรองภาวะกระดูกสันหลังคด

Ponpisut Worrajiran; Khanchitphon Modthook; Chalinee Nimpeng; Tanapa Kanjanapratum; Parinya Lertsinthai

Authors

Ponpisut Worrajiran Faculty of Engineering, Naresuan University
Khanchitphon Modthook Faculty of Allied Health Sciences, Naresuan University
Chalinee Nimpeng Faculty of Allied Health Sciences, Naresuan University
Tanapa Kanjanapratum Faculty of Allied Health Sciences, Naresuan University
Parinya Lertsinthai Faculty of Allied Health Sciences, Naresuan University

Keywords:

Scoliosis, Scoliometer, Smartphone application, Reliability, Validity

Abstract

Scoliosis is a spinal condition characterized by lateral curvature accompanied by vertebral rotation. Screening can be performed using a scoliometer, which measures the angle of spinal trunk rotation. Although mobile applications for scoliosis assessment have recently been developed (Smartphone application, App). There are still limitations, particularly in terms of high cost; all data is recorded in the mobile device’s memory, and previous angle data cannot be reviewed. This study focused on developing the Scolioscope^© App, which had not yet been tested for reliability and validity. The study aimed to evaluate the reliability and validity of the Scolioscope^© App, in conjunction with a customized base, by comparing with a standard scoliometer (Baseline^® scoliosis meter) by investigating 20 volunteers at risk of scoliosis. Measurements of trunk rotation were analyzed using the intraclass correlation coefficient (ICC) and Pearson’s correlation coefficient (r). The results demonstrated that the Scolioscope^© app showed very high test-retest reliability (ICC = 0.992), intra-rater reliability (ICC = 0.997), and inter-rater reliability (ICC = 0.994). The Scolioscope^© app also demonstrated high validity (r = 0.983), with a mean difference of 0.01 degrees between the two measurement methods (95% limits of agreement: -0.43, +0.41). These findings suggest that the Scolioscope^© App provides accurate spinal axial trunk rotation measurements comparable to the scoliometer (Baseline^® scoliosis meter). Therefore, the Scolioscope^© app can be used to screen for scoliosis risk.

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References

Kim H, Kim HS, Moon ES, Yoon CS, Chung TS, Song HT, et al. Scoliosis imaging: what radiologists should know. Radiographics. 2010;30(7):1823-42. doi: 10.1148/rg.307105061.

Driscoll M, Fortier-Tougas C, Labelle H, Parent S, Mac-Thiong JM. Evaluation of an apparatus to be combined with a smartphone for the early detection of spinal deformities. Scoliosis. 2014;9:10. doi: 10.1186/1748-7161-9-10.

Dunn J, Henrikson NB, Morrison CC, Blasi PR, Nguyen M, Lin JS. Screening for adolescent idiopathic scoliosis: evidence report and systematic review for the US preventive services task force. JAMA. 2018;319(2):173-87. doi: 10.1001/jama.2017.11669.

Horne JP, Flannery R, Usman S. Adolescent idiopathic scoliosis: diagnosis and management. Am Fam Physician. 2014;89(3):193-8.

Wajchenberg M, Astur N, Kanas M, Martins DE. Adolescent idiopathic scoliosis: current concepts on neurological and muscular etiologies. Scoliosis Spinal Disord. 2016;11:4. doi: 10.1186/s13013-016-0066-y.

van West HM, Herfkens J, Rutges J, Reijman M. The smartphone as a tool to screen for scoliosis, applicable by everyone. Eur Spine J. 2022;31(4):990-5. doi: 10.1007/s00586-021-06860-x.

Prowse A, Aslaksen B, Kierkegaard M, Furness J, Gerdhem P, Abbott A. Reliability and concurrent validity of postural asymmetry measurement in adolescent idiopathic scoliosis. World J Orthop. 2017;8(1):68-76. doi: 10.5312/wjo.v8.i1.68.

Labelle H, Richards SB, De Kleuver M, Grivas TB, Luk KD, Wong HK, et al. Screening for adolescent idiopathic scoliosis: an information statement by the scoliosis research society international task force. Scoliosis. 2013;8:17. doi: 10.1186/1748-7161-8-17.

Guidelines of use in spinal screening programs (Baseline® scoliosis meter) [internet]. White Plains (NY): Fabrication Enterprises, Inc.; 2016 [cited 2024 Sep 4]. Available from: https://www.fab-ent.com/MEDIA/41_INSTRUCTIONS/12-1099_MANUAL.PDF.

Naziri Q, Detolla J, Hayes W, Burekhovich S, Merola A, Akamnanu C, et al. A systematic review of all smart phone applications specifically aimed for use as a scoliosis screening tool. J Long Term Eff Med Implants. 2018;28(1):25-30. doi: 10.1615/JLongTermEffMedImplants.2017020737.

Channak S, Wirunrattanakij Y. Prevalence and correlation between spinal pain and spinal range of motion among first year Physical therapy students, Huachiew Chalermprakiet university, academic year 2015. J Med Tech Phy Ther. 2017:29(3):265-80. (in Thai)

Chamnongkich S. Measurement in physical therapy: essential concepts and applications. Chiang Mai: Siampimnana; 2014. (in Thai)

Koo TK, Li MY. A guideline of selecting and reporting intraclass correlation coefficients for reliability research. J Chiropr Med. 2016;15(2):155-63. doi: 10.1016/j.jcm.2016.02.012.

Portney LG, Watkins MP. Foundations of clinical research: applications to practice. 3rd ed, Upper Saddle River, NJ: Pearson Prentice Hall; 2009.

Worrajiran P, Hongwiangchan K, Wiradchalap P, Buasang I, Sitanon N, Lertsinthai P. Reliability and criterion-related validity of smartphone application for assessment of lower back range of motion in individuals without lower back pain. Thai J Phys Ther. 2020;42(2):83-100. (in Thai)

Lertsinthai P, Sitanon N, Worrajiran P. Reliability and criterion-related validity of an android application to measure cervical range of motion in asymptomatic neck pain and non-specific neck pain. RTA Med J. 2020;73(2):97–111. (in Thai)

Senkoylu A, Ilhan MN, Altun N, Samartzis D, Luk KDK. A simple method for assessing rotational flexibility in adolescent idiopathic scoliosis: modified Adam's forward bending test. Spine Deform. 2021;9(2):333-9. doi: 10.1007/s43390-020-00221-2.