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Date Published: 30/08/2023
Abstract Views: 433
Views pdf: 198
DOI: https://doi.org/10.51298/vmj.v529i1B.6355
Issue
Vol. 529 No. 1B (2023)
Section
Các bài báo
How to Cite
Nguyễn, T. T. T., Lê, H., Nguyễn, T. K. D., & Trương, T. T. H. (2023). CLINICAL AND SUBCLINICAL FEATURES AND CHEST X-RAY RESULTS ANALYZED BY QURE ARTIFICIAL INTELLIGENCE.AI OF PATIENTS SUSPECTED OF PULMONARY TUBERCULOSIS AT HANOI MEDICAL UNIVERSITY HOSPITAL IN 2022. Vietnam Medical Journal, 529(1B). https://doi.org/10.51298/vmj.v529i1B.6355

CLINICAL AND SUBCLINICAL FEATURES AND CHEST X-RAY RESULTS ANALYZED BY QURE ARTIFICIAL INTELLIGENCE.AI OF PATIENTS SUSPECTED OF PULMONARY TUBERCULOSIS AT HANOI MEDICAL UNIVERSITY HOSPITAL IN 2022

Thị Thu Thủy Nguyễn1,, Hoàn Lê2, Thị Kim Dung Nguyễn1, Thị Thu Hằng Trương1
1 ThaiBinh University of Medicine and Pharmacy
2 HMU

Main Article Content

Abstract

Objectives: Description of clinical features, subclinical and comment on chest X-ray results analyzed by artificial intelligence Qure.AI of patients suspected of pulmonary TB for examination and inpatient treatment at Hanoi Medical University Hospital in 2022. Subjects and methodology: Cross-sectional descriptive study of 126 patients with suspected pulmonary TB for inpatient examination and treatment at Hanoi Medical University. Results: The age of patients suspected of pulmonary TB is still mainly in the working age group of 30-60. Common systemic symptoms of the study group of patients  were fatigue, fever,  thinness, weight loss,weating.The most common symptom of the study group was sputum cough accounting for 91,3%. Sedimentation test results are still very valuable in diagnosing pulmonary TB. Study patients with chest X-ray lesions were hazy lesions accounting for the highest rate of 74.6%.The detection of TB bacteria by MGIT and Genxpert assays is higher than that of AFB tests using Ziehl-Neelsen staining. The area under the ROC curve is 77.1% with p< 0,001,95% Cl: 0.69- 0.86. Thus, the chest X-ray images read by Qure.AI are valuable in diagnosing pulmonary tuberculosis with a fairly good level of accuracy with a cut-off score of 0.503

Article Details

Keywords

Suspected pulmonary tuberculosis, clinical features, subclinical, Qure.AI, chest X-ray.

References

1. Hitze KL. [Preliminary report of the WHO seminar on the evaluation of tuberculosis prevention]. Bull Int Union Tuberc. 1973; 48(0): 60-63.
2. Quyết định 3126/QĐ-BYT hướng dẫn chẩn đoán, điều trị, dự phòng lao. Accessed June 23, 2022. https://vnras.com/quyet-dinh-3126-qd-byt/
3. Nghiên cứu giá trị của xét nghiệm Xpert MTB/RIF Ultra đờm ở người bệnh nghi lao có hai mẫu xét nghiệm soi đờm trực tiếp AFB (-). Accessed July 7, 2023. https://tapchinghiencuuyhoc.vn/index.php/tcncyh/article/view/571/269
4. Linguissi LSG, Vouvoungui CJ, Poulain P, Essassa GB, Kwedi S, Ntoumi F. Diagnosis of smear-negative pulmonary tuberculosis based on clinical signs in the Republic of Congo. BMC Res Notes. 2015;8:804. doi:10.1186/s13104-015-1774-8
5. Trịnh Việt Anh (2014), Đặc điểm lâm sàng, cận lâm sàng và xét nghiệm genxpert trong đờm ở những bệnh nhân nghi lao phổi tại trung tâm hô hấp BV Bạch Mai, Luận văn thạc sĩ y học, Trường Đại học Y Hà Nội
6. Qin ZZ, Sander MS, Rai B, et al. Using artificial intelligence to read chest radiographs for tuberculosis detection: A multi-site evaluation of the diagnostic accuracy of three deep learning systems. Sci Rep. 2019;9(1):15000. doi: 10.1038/s41598-019-51503-3