Computer-aided interpretation of chest radiography reveals the spectrum of tuberculosis in rural South Africa.
Computer-aided interpretation of chest radiography reveals the spectrum of tuberculosis in rural South Africa.
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DOI:
10.1038/s41746-021-00471-y
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发表时间:
2021-07-02
影响因子:
15.2
通讯作者:
Vukuzazi Team
中科院分区:
文献类型:
--
作者:
Fehr J;Konigorski S;Olivier S;Gunda R;Surujdeen A;Gareta D;Smit T;Baisley K;Moodley S;Moosa Y;Hanekom W;Koole O;Ndung'u T;Pillay D;Grant AD;Siedner MJ;Lippert C;Wong EB;Vukuzazi Team
Computer-aided digital chest radiograph interpretation (CAD) can facilitate high-throughput screening for tuberculosis (TB), but its use in population-based active case-finding programs has been limited. In an HIV-endemic area in rural South Africa, we used a CAD algorithm (CAD4TBv5) to interpret digital chest x-rays (CXR) as part of a mobile health screening effort. Participants with TB symptoms or CAD4TBv5 score above the triaging threshold were referred for microbiological sputum assessment. During an initial pilot phase, a low CAD4TBv5 triaging threshold of 25 was selected to maximize TB case finding. We report the performance of CAD4TBv5 in screening 9,914 participants, 99 (1.0%) of whom were found to have microbiologically proven TB. CAD4TBv5 was able to identify TB cases at the same sensitivity but lower specificity as a blinded radiologist, whereas the next generation of the algorithm (CAD4TBv6) achieved comparable sensitivity and specificity to the radiologist. The CXRs of people with microbiologically confirmed TB spanned a range of lung field abnormality, including 19 (19.2%) cases deemed normal by the radiologist. HIV serostatus did not impact CAD4TB’s performance. Notably, 78.8% of the TB cases identified during this population-based survey were asymptomatic and therefore triaged for sputum collection on the basis of CAD4TBv5 score alone. While CAD4TBv6 has the potential to replace radiologists for triaging CXRs in TB prevalence surveys, population-specific piloting is necessary to set the appropriate triaging thresholds. Further work on image analysis strategies is needed to identify radiologically subtle active TB.
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DOI:
10.5588/ijtld.17.0827
发表时间:
2018-09-01
影响因子:
4
作者:
Koesoemadinata, R. C.;Kranzer, K.;Hill, P. C.
通讯作者:
Hill, P. C.
影响因子:
10.6
作者:
Hogeweg, Laurens;Sanchez, Clara I.;van Ginneken, Bram
通讯作者:
van Ginneken, Bram
DOI:
10.1136/bmj.h5527
发表时间:
2015-10-28
期刊:
BMJ (Clinical research ed.)
影响因子:
--
作者:
Bossuyt PM;Reitsma JB;Bruns DE;Gatsonis CA;Glasziou PP;Irwig L;Lijmer JG;Moher D;Rennie D;de Vet HC;Kressel HY;Rifai N;Golub RM;Altman DG;Hooft L;Korevaar DA;Cohen JF;STARD Group
通讯作者:
STARD Group
影响因子:
6.4
作者:
Chakravorty S;Simmons AM;Rowneki M;Parmar H;Cao Y;Ryan J;Banada PP;Deshpande S;Shenai S;Gall A;Glass J;Krieswirth B;Schumacher SG;Nabeta P;Tukvadze N;Rodrigues C;Skrahina A;Tagliani E;Cirillo DM;Davidow A;Denkinger CM;Persing D;Kwiatkowski R;Jones M;Alland D
通讯作者:
Alland D
影响因子:
168.9
作者:
Corbett, Elizabeth L.;Bandason, Tsitsi;Duong, Trinh;Dauya, Ethel;Makamure, Beauty;Churchyard, Gavin J.;Williams, Brian G.;Munyati, Shungu S.;Butterworth, Anthony E.;Mason, Peter R.;Mungofa, Stanley;Hayes, Richard J.
通讯作者:
Hayes, Richard J.