New approaches in tuberculosis detection: the implementation of ultraportable radiological facilities equipped with computer-aided detection (CAD) technology

Authors

  • Nicolai NALIVAICO IMSP Institute of Phthisiopulmonology “Chiril Draganiuc”
  • Valentina VILC IMSP Institute of Phthisiopulmonology “Chiril Draganiuc”
  • Iоnеl BALAN National Agency for Regulation of Nuclear and Radiological Activities
  • Svetlana DOLTU AFI Center for Health and Community Development

DOI:

https://doi.org/10.52692/1857-0011.2024.2-79.03

Abstract

The Republic of Moldova remains the country with a high priority in the control of tuberculosis in the European Region. At the national level, tuberculosis remains one of the priority public health problems, the country being among 30 countries with a high burden of multidrug-resistant tuberculosis in the world.The share of people with active tuberculosis identified through active detection, with the support of civil society organizations in 2023 -12, 23% (265 cases out of 2168 new cases and TB relapses notified during 2023). Homeless adults and people who use drugs are at increased risk of infection and disease with tuberculosis with a higher risk of developing tuberculosis due to their weakened immune system. With this aim, the piloting of the systematic tuberculosis screening with the use of ultraportable radiological facilities was initiated. 232 homeless adults were examined, including drug users. The results obtained confirmed that the use of ultraportable radiological facilities will contribute to the early detection of pulmonary tuberculosis and the prompt initiation of treatment, and therefore can reduce the spread of the disease in the community.

Author Biographies

Nicolai NALIVAICO, IMSP Institute of Phthisiopulmonology “Chiril Draganiuc”

Doctor in Medical Sciences, University Lecturer

Valentina VILC, IMSP Institute of Phthisiopulmonology “Chiril Draganiuc”

m.h.s.p

Iоnеl BALAN, National Agency for Regulation of Nuclear and Radiological Activities

Doctor in Biological Sciences

Svetlana DOLTU, AFI Center for Health and Community Development

References

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Eui Jin Hwang, Won Gi Jeong, Pierre-Marie David, Matthew Arentz, Morten Ruhwald, Soon Ho Yoon. AI for Detection of Tuberculosis: Implications for Global Health. Radiology: Artificial IntelligenceVol. 6, No. 2. https://doi.org/10.1148/ryai.230327

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Tuberculoza la adult Protocol clinic naţional (edițiile VI) PCN- 123, 210 p., Chișinău, 2024

Published

2025-04-18

Issue

Section

Research Article

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