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Verfasst von:Bashir, Saima [VerfasserIn]   i
 Kik, Sandra V. [VerfasserIn]   i
 Ruhwald, Morten [VerfasserIn]   i
 Khan, Amir [VerfasserIn]   i
 Tariq, Muhammad [VerfasserIn]   i
 Hussain, Hamidah [VerfasserIn]   i
 Denkinger, Claudia M. [VerfasserIn]   i
Titel:Economic analysis of different throughput scenarios and implementation strategies of computer-aided detection software as a screening and triage test for pulmonary TB
Verf.angabe:Saima Bashir, Sandra V. Kik, Morten Ruhwald, Amir Khan, Muhammad Tariq, Hamidah Hussain, Claudia M. Denkinger
E-Jahr:2022
Jahr:December 30, 2022
Umfang:16 S.
Fussnoten:Gesehen am 28.03.2023
Titel Quelle:Enthalten in: PLOS ONE
Ort Quelle:San Francisco, California, US : PLOS, 2006
Jahr Quelle:2022
Band/Heft Quelle:17(2022), 12 vom: Dez., Artikel-ID e0277393, Seite 1-16
ISSN Quelle:1932-6203
Abstract:Background Artificial Intelligence (AI) systems have demonstrated potential in detecting tuberculosis (TB) associated abnormalities from chest X-ray (CXR) images. Thus, they might provide a solution to radiologist shortages in high TB burden countries. However, the cost of implementing computer-aided detection (CAD) software has thus far been understudied. In this study, we performed a costing analysis of CAD software when used as a screening or triage test for pulmonary TB, estimated the incremental cost compared to a radiologist reading of different throughput scenarios, and predicted the cost for the national scale-up plan in Pakistan. Methods For the study, we focused on CAD software reviewed by the World Health Organization (CAD4TB, Lunit INSIGHT CXR, qXR) or listed in the Global Drug Facility diagnostics catalogue (CAD4TB, InferRead). Costing information was obtained from the CAD software developers. CAD4TB and InferRead use a perpetual license pricing model, while Lunit and qXR are priced per license for restricted number of scans. A major implementer in Pakistan provided costing information for human resource and software training. The per-screen cost was estimated for each CAD software and for radiologist for 1) active case finding, and 2) facility based CXR testing scenarios with throughputs ranging from 50,000-100,000 scans. Moreover, we estimated the scale-up cost for CAD or radiologist CXR reading in Pakistan based on the National Strategic Plan, considering that to reach 80% diagnostic coverage, 50% of TB patients would need to be found through facility-based triage and 30% through active case finding (ACF). Results The per-screen cost for CAD4TB (0.25 USD- 2.33 USD) and InferRead (0.19 USD- 2.78 USD) was lower than that of a radiologist (0.70 USD- 0.93 USD) for high throughput scenarios studied. In comparison, the per-screen cost for Lunit (0.94 USD- 1.69 USD) and qXR (0.95 USD—1.9 USD) were only comparable with that of the radiologists in the highest throughput scenario in ACF. To achieve 80 percent diagnostic coverage at scale in Pakistan, the projected additional cost of deploying CAD software to complement the current infrastructure over a four-year period were estimated at 2.65-19.23 million USD, whereas Human readers, would cost an additional 23.97 million USD. Conclusions Our findings suggest that using CAD software could enable large-scale screening programs in high TB-burden countries and be less costly than radiologist. To achieve minimum cost, the target number of screens in a specific screening strategy should be carefully considered when selecting CAD software, along with the offered pricing structure and other aspects such as performance and operational features. Integrating CAD software in implementation strategies for case finding could be an economical way to attain the intended programmatic goals.
DOI:doi:10.1371/journal.pone.0277393
URL:Bitte beachten Sie: Dies ist ein Bibliographieeintrag. Ein Volltextzugriff für Mitglieder der Universität besteht hier nur, falls für die entsprechende Zeitschrift/den entsprechenden Sammelband ein Abonnement besteht oder es sich um einen OpenAccess-Titel handelt.

Volltext: https://doi.org/10.1371/journal.pone.0277393
 Volltext: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0277393
 DOI: https://doi.org/10.1371/journal.pone.0277393
Datenträger:Online-Ressource
Sprache:eng
Sach-SW:Computer software
 Equipment
 Pakistan
 Radiologists
 Radiology and imaging
 Triage
 Tuberculosis
 Tuberculosis diagnosis and management
K10plus-PPN:1840304928
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