Literature DB >> 28236438

Evaluation of a chest radiograph reading and recording system for tuberculosis in a HIV-positive cohort.

C S Kosack1, S Spijker2, J Halton2, M Bonnet3, S Nicholas4, K Chetcuti5, A Mesic6, W E Brant7, E Joekes8, S Andronikou9.   

Abstract

AIM: To assess the impact of introducing a chest radiograph reading and recording system (CRRS) with a short training session, on the accuracy and inter-reader variability of tuberculosis (TB) interpretation of chest radiographs (CXRs) by a group of non-expert readers in a human immunodeficiency virus (HIV)-positive cohort.
MATERIALS AND METHODS: A set of 139 CXRs was reviewed by a group of eight physicians pre- and post-intervention at two clinics in Shan State, Myanmar, providing HIV/TB diagnosis and treatment services. The results were compared against the consensus of expert radiologists for accuracy.
RESULTS: Overall accuracy was similar pre- and post-intervention for most physicians with an average area under the receiver operating characteristic curve difference of 0.02 (95% confidence interval: -0.03, 0.07). The overall agreement among physicians was poor pre- and post-intervention (Fleiss κ=0.35 and κ=0.29 respectively). The assessment of agreement for specific disease patterns associated with active TB in HIV-infected patients showed that for intrinsically subtle findings, the agreement was generally poor but better for the more intrinsically obvious disease patterns: pleural effusion (Cohen's kappa range = 0.37-0.67) and milliary nodular pattern (Cohen's kappa range = 0.25-0.52).
CONCLUSION: This study demonstrated limited impact of the introduction of a CRRS on CXR accuracy and agreement amongst non-expert readers. The role in which CXRs are used for TB diagnosis in a HIV-positive cohort in similar clinical contexts should be reviewed.
Copyright © 2017 The Royal College of Radiologists. Published by Elsevier Ltd. All rights reserved.

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Year:  2017        PMID: 28236438     DOI: 10.1016/j.crad.2017.01.008

Source DB:  PubMed          Journal:  Clin Radiol        ISSN: 0009-9260            Impact factor:   2.350


  4 in total

1.  Pediatric radiology mission work: opportunities, challenges and outcomes.

Authors:  Summit H Shah; Larry A Binkovitz; Mai Lan Ho; Andrew T Trout; Brent H Adler; Savvas Andronikou
Journal:  Pediatr Radiol       Date:  2018-08-16

2.  Independent evaluation of 12 artificial intelligence solutions for the detection of tuberculosis.

Authors:  Andrew J Codlin; Thang Phuoc Dao; Luan Nguyen Quang Vo; Rachel J Forse; Vinh Van Truong; Ha Minh Dang; Lan Huu Nguyen; Hoa Binh Nguyen; Nhung Viet Nguyen; Kristi Sidney-Annerstedt; Bertie Squire; Knut Lönnroth; Maxine Caws
Journal:  Sci Rep       Date:  2021-12-13       Impact factor: 4.379

Review 3.  Tuberculosis and HIV-An Update on the "Cursed Duet" in Children.

Authors:  Samantha H-L Fry; Shaun L Barnabas; Mark F Cotton
Journal:  Front Pediatr       Date:  2019-04-25       Impact factor: 3.418

4.  Chest X-ray Analysis With Deep Learning-Based Software as a Triage Test for Pulmonary Tuberculosis: An Individual Patient Data Meta-Analysis of Diagnostic Accuracy.

Authors:  Gamuchirai Tavaziva; Miriam Harris; Syed K Abidi; Coralie Geric; Marianne Breuninger; Keertan Dheda; Aliasgar Esmail; Monde Muyoyeta; Klaus Reither; Arman Majidulla; Aamir J Khan; Jonathon R Campbell; Pierre-Marie David; Claudia Denkinger; Cecily Miller; Ruvandhi Nathavitharana; Madhukar Pai; Andrea Benedetti; Faiz Ahmad Khan
Journal:  Clin Infect Dis       Date:  2022-04-28       Impact factor: 20.999

  4 in total

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