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Clinical measurement of craniovertebral angle and forward shoulder angle by three-point marker detection software: A test of reliability and validity
Pimonpan Taweekarn1,4*, Yodchai Boonprakob2,4, Daraporn Sae-lee 3,4,
Teekayu P. Jorns3,4, Supunnee Ungpansattawong5, Somsak Ruammahasab6
1 Sport and Exercise Science Program, Graduate School, 2 Faculty of Associated Medical Sciences,3Orofacial Pain Clinic, Faculty of Dentistry, 4 Neuroscience Research and Development Group, 5 Faculty of Science, 6Engineering, Khon Kean University, Khon Kaen, Thailand.
Background: Craniovertebral angle (CV angle) and forward shoulder angle (FSP angle) assessments are reliable indicators for determine poor head and neck posture which resulting in chronic myofascial pain problem. There are many instruments that have been used for assessing head posture. However, several problems were found from these methods e.g., high cost, time consuming and most do not provide immediate results. Therefore we have developed novel method of the computerized three-point marker detection to solve these problems.
Objectives: To examine the agreement between the novel method (computerized three-point marker detection) and the traditional goniometry and to examine intra-examiner reliability of this novel method.
Methods: The novel computerized three-point marker detection method is applied by using an image processing technique in conjunction with the three-point marker detection. We evaluate the angles by using the novel method and the traditional goniometry. The standard angles of models were set and recorded by the first investigator. Second investigator then carried out the blinded measurement of the same angle with novel method. With both methods, the measures were repeated for the different ten angles. For the inter examiner reliability test, the second investigator measured 10 different stability angles, which were set by the first investigator, each stability angle was measured twice. The Pearson’s correlation coefficient (r) was used for examining the agreement and intra-class correlation coefficient (ICC) for inter examiner reliability test.
Results: The results showed that the agreement between the novel method and traditional goniometry is in a high level of agreement (r = 1, p= 0.00) while inter-examiner reliability showed a very high correlation (ICC=.98).
Conclusion: The results obtained from the novel method showed a high level of similarities in comparison with goniometry as well as intra-examiner reliability. Hence this novel method may be used for clinical assessment of the neck pain patients.
Key words: Craniovertebral angle (CV angle), Forward shoulder angle (FSP), Three-point marker detection software, head posture
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