Suppr超能文献

通过智能手机摄影测量手指活动范围。

Range of Motion Measurements of the Fingers Via Smartphone Photography.

机构信息

Brigham and Women's Hospital, Boston, MA, USA.

出版信息

Hand (N Y). 2020 Sep;15(5):679-685. doi: 10.1177/1558944718820955. Epub 2019 Jan 28.

Abstract

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. 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. 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). 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.

摘要

手指活动度(ROM)测量在手部体格检查中经常进行。传统上,手指活动度是通过手动量角器测量的,而智能手机摄影则提供了一种替代的 ROM 测量方法,也具有潜在的远程医疗应用。本研究的目的是评估智能手机摄影测量作为传统量角器替代方法的可靠性,以患有掌腱膜挛缩症的患者为模型。

前瞻性纳入患有确诊掌腱膜挛缩症的患者。在进行任何侵入性治疗之前,测量受累关节的活动度。由临床工作人员和与研究无关的非临床人员分别拍摄两组照片。通过软件分析对两组照片进行挛缩程度分析,并与传统量角器测量结果进行比较。

本研究前瞻性纳入 50 例连续患有掌腱膜挛缩症的患者,共 123 个受累关节。手动量角器、训练有素的摄影量角器和未经训练的摄影量角器测量的所有受累关节的平均挛缩程度分别为 38.5°、35.3°和 35.5°。手动与训练有素的摄影量角器之间挛缩测量的平均差异为 3.2°,手动与未经训练的摄影量角器之间的差异为 3.0°。训练有素和未经训练的摄影集测量之间没有统计学上的显著差异。两个独立评估者之间的摄影测量结果显示出高度一致性(组内相关系数=0.92)。

智能手机摄影可提供与手指量角器可接受误差相当的挛缩测量值(3.2°对比 5°)。智能手机摄影在测量挛缩方面的准确性为临床和研究需求提供了潜在的远程医疗应用。

相似文献

1
Range of Motion Measurements of the Fingers Via Smartphone Photography.
Hand (N Y). 2020 Sep;15(5):679-685. doi: 10.1177/1558944718820955. Epub 2019 Jan 28.
2
A Comparison of Elbow Range of Motion Measurements: Smartphone-Based Digital Photography Versus Goniometric Measurements.
J Hand Surg Am. 2016 Apr;41(4):510-515.e1. doi: 10.1016/j.jhsa.2016.01.006. Epub 2016 Feb 13.
3
Wrist ROM measurements using smartphone photography: Reliability and validity.
Hand Surg Rehabil. 2020 Sep;39(4):261-264. doi: 10.1016/j.hansur.2020.02.004. Epub 2020 Mar 20.
4
Validation of a photography-based goniometry method for measuring joint range of motion.
J Shoulder Elbow Surg. 2012 Jan;21(1):29-35. doi: 10.1016/j.jse.2011.06.018. Epub 2011 Oct 8.
5
Measurement of finger joint motion after flexor tendon repair: smartphone photography compared with traditional goniometry.
J Hand Surg Eur Vol. 2021 Oct;46(8):825-829. doi: 10.1177/1753193421991062. Epub 2021 Feb 8.
7
Smartphone photography utilized to measure wrist range of motion.
J Hand Surg Eur Vol. 2018 Feb;43(2):187-192. doi: 10.1177/1753193417729140. Epub 2017 Sep 5.
9
Interrater reliability in finger joint goniometer measurement in Dupuytren's disease.
Am J Occup Ther. 2012 Jan-Feb;66(1):98-103. doi: 10.5014/ajot.2012.001925.
10

引用本文的文献

1
Proof of Concept and Validation of Single-Camera AI-Assisted Live Thumb Motion Capture.
Sensors (Basel). 2025 Jul 26;25(15):4633. doi: 10.3390/s25154633.
2
Accuracy of the Automated Range of Motion Observer and Reporter Software for Fully Automated Joint Measurement From Patient Videos.
J Am Acad Orthop Surg Glob Res Rev. 2025 Jul 8;9(7). doi: e25.00088. eCollection 2025 Jul 1.
4
Long-Term Results of Suture-Button Suspensionplasty in the Treatment of Thumb Carpometacarpal Arthritis: A Minimum 10-Year Follow-Up.
J Hand Surg Glob Online. 2024 Jan 25;6(2):206-211. doi: 10.1016/j.jhsg.2023.12.002. eCollection 2024 Mar.
5
A system for automated acquisition of digital flexion using a 3-D camera and custom gantry.
Hand Ther. 2022 Sep;27(3):91-99. doi: 10.1177/17589983221110916. Epub 2022 Jun 22.
6
Telerehabilitation Technology Used for Remote Wrist/Finger Range of Motion Evaluation: A Scoping Review.
Plast Reconstr Surg Glob Open. 2023 Aug 23;11(8):e5147. doi: 10.1097/GOX.0000000000005147. eCollection 2023 Aug.
7
Automatic range of motion measurement via smartphone images for telemedicine examination of the hand.
Sci Prog. 2023 Jan-Mar;106(1):368504231152740. doi: 10.1177/00368504231152740.
8
[Accuracy of key point matrix technology based contactless automatic measurement for joint motion of hand].
Zhongguo Xiu Fu Chong Jian Wai Ke Za Zhi. 2022 May 15;36(5):540-547. doi: 10.7507/1002-1892.202201078.
9
Smart Technology and Orthopaedic Surgery: Current Concepts Regarding the Impact of Smartphones and Wearable Technology on Our Patients and Practice.
Curr Rev Musculoskelet Med. 2021 Dec;14(6):378-391. doi: 10.1007/s12178-021-09723-6. Epub 2021 Nov 3.
10
The Telemedicine-Based Pediatric Examination of the Neck and Upper Limbs: A Narrative Review.
J Pain Res. 2021 Oct 11;14:3173-3192. doi: 10.2147/JPR.S336168. eCollection 2021.

本文引用的文献

1
A Comparison of Elbow Range of Motion Measurements: Smartphone-Based Digital Photography Versus Goniometric Measurements.
J Hand Surg Am. 2016 Apr;41(4):510-515.e1. doi: 10.1016/j.jhsa.2016.01.006. Epub 2016 Feb 13.
2
Accuracy and Validity of Goniometer and Visual Assessments of Angular Joint Positions of the Hand and Wrist.
J Hand Surg Am. 2016 Apr;41(4):e21-35. doi: 10.1016/j.jhsa.2015.12.014. Epub 2016 Jan 20.
4
The hidden economics of telemedicine.
Ann Intern Med. 2015 Nov 17;163(10):801-2. doi: 10.7326/M15-1416. Epub 2015 Sep 8.
5
Comparative analysis of photograph-based clinical goniometry to standard techniques.
Hand (N Y). 2015 Jun;10(2):248-53. doi: 10.1007/s11552-014-9702-2.
7
Concurrent validity and reliability of the Simple Goniometer iPhone app compared with the Universal Goniometer.
Physiother Theory Pract. 2014 Oct;30(7):512-6. doi: 10.3109/09593985.2014.900835. Epub 2014 Mar 25.
8
Reliability and validity of goniometric iPhone applications for the assessment of active shoulder external rotation.
Physiother Theory Pract. 2014 Oct;30(7):521-5. doi: 10.3109/09593985.2014.900593. Epub 2014 Mar 21.

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验