Dendere, R;
Mutsvangwa, T;
Goliath, R;
Rangaka, MX;
Abubakar, I;
Douglas, TS;
(2017)
Measurement of Skin Induration Size Using Smartphone Images and Photogrammetric Reconstruction: Pilot Study.
JMIR Biomedical Engineering
, 2
(1)
, Article e3. 10.2196/biomedeng.8333.
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Abstract
Background: The tuberculin skin test (TST) is the most common method for detecting latent tuberculosis infection (LTBI). The test requires that a patient return to the health facility or be visited by a health care worker 48 to 72 hours after the intradermal placement of tuberculin so that the size of the resulting skin induration, if any, can be measured. Objective: This study aimed to propose and evaluate an image-based method for measuring induration size from images captured using a smartphone camera. Methods: We imaged simulated skin indurations, ranging from 4.0 to 19 mm, in 10 subjects using a handheld smartphone, and performed three-dimensional reconstruction of the induration sites using photogrammetry software. An experienced TST reader measured the size of each induration using the standard clinical method. The experienced reader and an inexperienced observer both measured the size of each induration using the software. The agreement between measurements generated by the standard clinical and image-based methods was assessed using the intraclass correlation coefficient (ICC). Inter- and intraobserver agreement for the image-based method was similarly evaluated. Results: Results showed excellent agreement between the standard and image-based measurements performed by the experienced reader with an ICC value of .965. Inter- and intraobserver agreements were also excellent, indicating that experience in reading TSTs is not required with our proposed method. Conclusions: We conclude that the proposed smartphone image-based method is a potential alternative to standard induration size measurement and would enable remote data collection for LTBI screening.
| Type: | Article |
|---|---|
| Title: | Measurement of Skin Induration Size Using Smartphone Images and Photogrammetric Reconstruction: Pilot Study |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.2196/biomedeng.8333 |
| Publisher version: | http://dx.doi.org/10.2196/biomedeng.8333 |
| Language: | English |
| Additional information: | ©Ronald Dendere, Tinashe Mutsvangwa, Rene Goliath, Molebogeng X Rangaka, Ibrahim Abubakar, Tania S Douglas. Originally published in JMIR Biomedical Engineering (http://biomedeng.jmir.org), 07.12.2017. This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) |
| Keywords: | tuberculosis; skin tests; telemedicine; computer assisted diagnosis |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Institute for Global Health |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10112457 |
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