Literature DB >> 29775913

Mobile phone-based evaluation of latent tuberculosis infection: Proof of concept for an integrated image capture and analysis system.

Safa Naraghi1, Tinashe Mutsvangwa1, René Goliath2, Molebogeng X Rangaka3, Tania S Douglas4.   

Abstract

BACKGROUND: The tuberculin skin test is the most widely used method for detecting latent tuberculosis infection in adults and active tuberculosis in children. We present the development of a mobile-phone based screening tool for measuring the tuberculin skin test induration.
METHOD: The tool makes use of a mobile application developed on the Android platform to capture images of an induration, and photogrammetric reconstruction using Agisoft PhotoScan to reconstruct the induration in 3D, followed by 3D measurement of the induration with the aid of functions from the Python programming language. The system enables capture of images by the person being screened for latent tuberculosis infection. Measurement precision was tested using a 3D printed induration. Real-world use of the tool was simulated by application to a set of mock skin indurations, created by a make-up artist, and the performance of the tool was evaluated. The usability of the application was assessed with the aid of a questionnaire completed by participants.
RESULTS: The tool was found to measure the 3D printed induration with greater precision than the current ruler and pen method, as indicated by the lower standard deviation produced (0.3 mm versus 1.1 mm in the literature). There was high correlation between manual and algorithm measurement of mock skin indurations. The height of the skin induration and the definition of its margins were found to influence the accuracy of 3D reconstruction and therefore the measurement error, under simulated real-world conditions. Based on assessment of the user experience in capturing images, a simplified user interface would benefit wide-spread implementation.
CONCLUSIONS: The mobile application shows good agreement with direct measurement. It provides an alternative method for measuring tuberculin skin test indurations and may remove the need for an in-person follow-up visit after test administration, thus improving latent tuberculosis infection screening throughput.
Copyright © 2018 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Mobile health; Mobile phone; Photogrammetry; Tuberculin skin test; Tuberculosis; mHealth

Mesh:

Year:  2018        PMID: 29775913     DOI: 10.1016/j.compbiomed.2018.05.009

Source DB:  PubMed          Journal:  Comput Biol Med        ISSN: 0010-4825            Impact factor:   4.589


  5 in total

1.  The mTST - An mHealth approach for training and quality assurance of tuberculin skin test administration and reading.

Authors:  Saeedeh Moayedi-Nia; Leila Barss; Olivia Oxlade; Chantal Valiquette; Mei-Xin Ly; Jonathon R Campbell; Zhiyi Lan; Placide Nsengiyumva; Federica Fregonese; Mayara Lisboa Bastos; Danielle Sampath; Nicholas Winters; Dick Menzies
Journal:  PLoS One       Date:  2019-04-17       Impact factor: 3.240

Review 2.  Use of Digital Technology to Enhance Tuberculosis Control: Scoping Review.

Authors:  Yejin Lee; Mario C Raviglione; Antoine Flahault
Journal:  J Med Internet Res       Date:  2020-02-13       Impact factor: 5.428

Review 3.  Telemedicine in Pediatric Infectious Diseases.

Authors:  Marco Pappalardo; Umberto Fanelli; Vincenzo Chiné; Cosimo Neglia; Andrea Gramegna; Alberto Argentiero; Susanna Esposito
Journal:  Children (Basel)       Date:  2021-03-28

4.  A user-centred design framework for mHealth.

Authors:  Jaydon Farao; Bessie Malila; Nailah Conrad; Tinashe Mutsvangwa; Molebogeng X Rangaka; Tania S Douglas
Journal:  PLoS One       Date:  2020-08-19       Impact factor: 3.240

5.  Experimental Study on Wound Area Measurement with Mobile Devices.

Authors:  Filipe Ferreira; Ivan Miguel Pires; Vasco Ponciano; Mónica Costa; María Vanessa Villasana; Nuno M Garcia; Eftim Zdravevski; Petre Lameski; Ivan Chorbev; Martin Mihajlov; Vladimir Trajkovik
Journal:  Sensors (Basel)       Date:  2021-08-26       Impact factor: 3.576

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.