Comparative Analysis of Photograph-Based Clinical Goniometry to Standard Techniques

Crasto, Jared A.; Sayari, Arash J.; Gray, Robert R.L.; Askari, Morad

doi:10.1007/s11552-014-9702-2

Cited by 32 publications

(29 citation statements)

References 21 publications

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“…8,9 Because the mean absolute differences were greater than the mean differences, this suggests that smartphone photography does not uniformly overestimate or underestimate contracture angles compared with manual goniometry. While photograph goniometry in the hand has been studied before using dedicated clinical camera equipment with results comparable to manual goniometry, 3,12,13 this study is unique in its use of smartphone photography and untrained individuals for finger ROM measurements. Smartphone photography goniometry has demonstrated accurate results in other joints, including the elbow, 14,15 knee, [16][17][18] shoulder, 19 and spine, 20,21 yet its use in the fingers had not been validated prior to this study.…”

Section: Discussionmentioning

confidence: 99%

Range of Motion Measurements of the Fingers Via Smartphone Photography

Zhao

Blazar

Mora

et al. 2019

Hand (New York, N,Y.)

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Background: Range of motion (ROM) measurements of the fingers are frequently obtained during hand physical examinations. While traditionally measured by manual goniometry, smartphone photography introduces an alternative method of ROM measurement that also has potential telemedicine applications. The purpose of this study was to evaluate the reliability of smartphone photography measurements as an alternative to traditional goniometry, using the patient with Dupuytren disease as a model. Methods: Patients with a confirmed Dupuytren contracture were prospectively enrolled in this study. Range of motion measurements of the affected joints were obtained prior to any invasive treatments. Two sets of photographs were taken by both a clinical staff member and a nonclinical individual unaffiliated with the study. Both sets of photos were analyzed for degree of contracture via software analysis and compared against traditional goniometer measurements. Results: The study prospectively enrolled 50 consecutive patients with Dupuytren disease, comprising 123 affected joints. The mean contractures of all affected joints as measured by manual goniometry, trained photograph goniometry, and untrained photograph goniometry were 38.5, 35.3, and 35.5, respectively. The mean difference in contracture measurement was 3.2° between manual and trained photograph goniometry and 3.0° between manual and untrained photograph goniometry. There was no statistically significant difference between trained and untrained photo set measurements. Photograph measurements between separate raters demonstrated high consistency (intraclass correlation coefficient = 0.92). Conclusions: Smartphone photography provides contracture measurements equivalent to the accepted error of a finger goniometer (3.2° compared with 5°). The accuracy of smartphone photography in measuring contractures offers potential telemedicine applications for both clinical and research needs.

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Section: Discussionmentioning

confidence: 99%

Range of Motion Measurements of the Fingers Via Smartphone Photography

Zhao

Blazar

Mora

et al. 2019

Hand (New York, N,Y.)

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“…Previous studies validating photography-based goniometry for the elbow, knee, and wrist utilized photographs taken by members of the clinical research team in the office setting. 10,11,13 Thus, our ability to extrapolate these studies' conclusions is limited by the fact that the photographs were taken by researchers with relevant clinical knowledge. This study is the first to assess patient-performed photography-based goniometry based on written instructions as a potential alternative to traditional clinical goniometry.…”

Section: Discussionmentioning

confidence: 99%

“…3,14 That being said, pronation and supination have been reliably measured in recent studies using photography-based goniometry and smartphone-assisted measurements. 8,13 Finally, the illustrated instruction sheet provided to patients has room for further optimization. In particular, integration of video displays, online accessibility, and/or smartphone accessibility may have improved patient response rate and/or protocol accuracy.…”

Section: Discussionmentioning

confidence: 99%

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At Home Photography-Based Method for Measuring Wrist Range of Motion

et al. 2017

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To determine the reliability of wrist range of motion (WROM) measurements based on digital photographs taken by patients at home compared with traditional measurements done in the office with a goniometer. Sixty-nine postoperative patients were enrolled in this study at least 3 months postoperatively. Active and passive wrist flexion/extension and radial/ulnar deviation were recorded by one of the two attending surgeons with a 1-degree resolution goniometer at the last postoperative office visit. Patients were provided an illustrated instruction sheet detailing how to take digital photographic images at home in six wrist positions (active and passive flexion/extension, and radial/ulnar deviation). Wrist position was measured from digital images by both the attending surgeons in a randomized, blinded fashion on two separate occasions greater than 2 weeks apart using the same goniometer. Reliability analysis was performed using the intraclass correlation coefficient to assess agreement between clinical and photography-based goniometry, as well as intra- and interobserver agreement. Out of 69 enrolled patients, 30 (43%) patients sent digital images. Of the 180 digital photographs, only 9 (5%) were missing or deemed inadequate for WROM measurements. Agreement between clinical and photography-based measurements was "almost perfect" for passive wrist flexion/extension and "substantial" for active wrist flexion/extension and radial/ulnar deviation. Inter- and intraobserver agreement for the attending surgeons was "almost perfect" for all measurements. This study validates a photography-based goniometry protocol allowing accurate and reliable WROM measurements without direct physician contact. Passive WROM was more accurately measured from photographs than active WROM. This study builds on previous photography-based goniometry literature by validating a protocol in which patients or their families take and submit their own photographs. Patient-performed photography-based goniometry represents an alternative to traditional clinical goniometry that could enable longer-term follow-up, overcome travel-related impediments to office visits, improve convenience, and reduce costs for patients.

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“…Options for future studies include measuring ROM using video motion technology like Dart fish 22 or photographs. 23 Since the benefits of independent web/ video exercise programs are aimed at reducing patient burden in travel it appears that reducing visits for assessment for study outcomes is also important. Highlighting the potential convenience then may be important for recruitment since a number of potential participants were "not interested".…”

Section: Feasibility Issues Recruitmentmentioning

confidence: 99%

Feasibility of an at Home, Online, Yoga-Based and Standard Exercise Intervention for Rotator Cuff Injuries

Mehta¹

2017

MOJYPT

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This study investigates the feasibility of conducting a 6-week intervention program comparing online yoga-based and standard exercises among 10 injured pre-surgery rotator cuff patients. A feasibility study of 10 patients recruited from surgical wait lists was conducted. Patients were assessed for shoulder flexion, abduction and external rotation range of motion and strength at baseline and 6-weeks. The SPADI questionnaire was used to assess pain/function. 8/10 patients did not complete the full study protocol. The case report illustrates that the yoga group patient worsened, while the standard exercise group patient improved in strength. SPADI results were changed by less than 10% indicating no clinically important change. Qualitative feedback suggested that patients might be open to online exercises however further developmental work is needed to define a feasible protocol.

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Comparative Analysis of Photograph-Based Clinical Goniometry to Standard Techniques

Cited by 32 publications

References 21 publications

Range of Motion Measurements of the Fingers Via Smartphone Photography

Range of Motion Measurements of the Fingers Via Smartphone Photography

At Home Photography-Based Method for Measuring Wrist Range of Motion

Feasibility of an at Home, Online, Yoga-Based and Standard Exercise Intervention for Rotator Cuff Injuries

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