Literature DB >> 28786796

Automatic versus human reading of chest X-rays in the Zambia National Tuberculosis Prevalence Survey.

J Melendez1, R H H M Philipsen1, P Chanda-Kapata2, V Sunkutu3, N Kapata2, B van Ginneken1.   

Abstract

SETTING: Tuberculosis (TB) prevalence survey in Zambia between 2013 and 2014.
OBJECTIVE: To compare the performance of automatic software (CAD4TB 5) in chest X-ray (CXR) reading with that of field (general practitioners) and central (radiologists) readers.
DESIGN: A retrospective study comparing the performance of human and automatic reading was conducted. Two scenarios for central reading were evaluated: abnormalities not consistent with TB were considered to be 'normal' or 'abnormal'. Sputum culture was defined as the reference standard. Measures derived from receiver operating characteristic analysis were used to assess readers' performances.
RESULTS: Of 46 099 participants, 23 838 cases included all survey information; of these, 106 cases were culture-confirmed TB-positive. The performance of CAD4TB 5 was similar to that of field and central readers. Although there were significant differences in specificity when compared with field readings (P = 0.002) and central readings considering the first scenario (P < 0.001), these differences were not substantial (93.2% vs. 92.6% and 98.4% vs. 99.6%, respectively).CONCLUSIONp: The performance of automatic CXR readings is comparable with that of human experts in a TB prevalence survey setting using culture as reference.

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Mesh:

Year:  2017        PMID: 28786796     DOI: 10.5588/ijtld.16.0851

Source DB:  PubMed          Journal:  Int J Tuberc Lung Dis        ISSN: 1027-3719            Impact factor:   2.373


  8 in total

Review 1.  Symptom- and chest-radiography screening for active pulmonary tuberculosis in HIV-negative adults and adults with unknown HIV status.

Authors:  Anja Van't Hoog; Kerri Viney; Olivia Biermann; Bada Yang; Mariska Mg Leeflang; Miranda W Langendam
Journal:  Cochrane Database Syst Rev       Date:  2022-03-23

2.  Accuracy of an automated system for tuberculosis detection on chest radiographs in high-risk screening.

Authors:  J Melendez; L Hogeweg; C I Sánchez; R H H M Philipsen; R W Aldridge; A C Hayward; I Abubakar; B van Ginneken; A Story
Journal:  Int J Tuberc Lung Dis       Date:  2018-05-01       Impact factor: 2.373

3.  Evaluation of the diagnostic accuracy of Computer-Aided Detection of tuberculosis on Chest radiography among private sector patients in Pakistan.

Authors:  Syed Mohammad Asad Zaidi; Shifa Salman Habib; Bram Van Ginneken; Rashida Abbas Ferrand; Jacob Creswell; Saira Khowaja; Aamir Khan
Journal:  Sci Rep       Date:  2018-08-17       Impact factor: 4.379

4.  A systematic review of the diagnostic accuracy of artificial intelligence-based computer programs to analyze chest x-rays for pulmonary tuberculosis.

Authors:  Miriam Harris; Amy Qi; Luke Jeagal; Nazi Torabi; Dick Menzies; Alexei Korobitsyn; Madhukar Pai; Ruvandhi R Nathavitharana; Faiz Ahmad Khan
Journal:  PLoS One       Date:  2019-09-03       Impact factor: 3.240

5.  Triage of Persons With Tuberculosis Symptoms Using Artificial Intelligence-Based Chest Radiograph Interpretation: A Cost-Effectiveness Analysis.

Authors:  Ntwali Placide Nsengiyumva; Hamidah Hussain; Olivia Oxlade; Arman Majidulla; Ahsana Nazish; Aamir J Khan; Dick Menzies; Faiz Ahmad Khan; Kevin Schwartzman
Journal:  Open Forum Infect Dis       Date:  2021-12-15       Impact factor: 3.835

6.  Alarming Tuberculosis Rate Among People Who Inject Drugs in Vietnam.

Authors:  Nicolas Nagot; Vinh Vu Hai; Thuy Thi Thu Dong; Oanh Khuat Thi Hai; Delphine Rapoud; Giang Thi Hoang; Catherine Quillet; Khue Pham Minh; Roselyne Vallo; Thanh Tuyet Thi Nham; Joëlle Castellani; Jonathan Feelemyer; Don C Des Jarlais; Lan Phuong Nguyen; Hoi Van Le; Nhung Viet Nguyen; Luan Nguyen Quang Vo; Huong Thi Duong; Jean-Pierre Moles; Didier Laureillard
Journal:  Open Forum Infect Dis       Date:  2021-11-08       Impact factor: 3.835

7.  Computer-aided interpretation of chest radiography reveals the spectrum of tuberculosis in rural South Africa.

Authors:  Jana Fehr; Stefan Konigorski; Stephen Olivier; Resign Gunda; Ashmika Surujdeen; Dickman Gareta; Theresa Smit; Kathy Baisley; Sashen Moodley; Yumna Moosa; Willem Hanekom; Olivier Koole; Thumbi Ndung'u; Deenan Pillay; Alison D Grant; Mark J Siedner; Christoph Lippert; Emily B Wong
Journal:  NPJ Digit Med       Date:  2021-07-02

8.  Computer aided detection of tuberculosis on chest radiographs: An evaluation of the CAD4TB v6 system.

Authors:  Keelin Murphy; Shifa Salman Habib; Syed Mohammad Asad Zaidi; Saira Khowaja; Aamir Khan; Jaime Melendez; Ernst T Scholten; Farhan Amad; Steven Schalekamp; Maurits Verhagen; Rick H H M Philipsen; Annet Meijers; Bram van Ginneken
Journal:  Sci Rep       Date:  2020-03-26       Impact factor: 4.996

  8 in total

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