Relationship between radiographic activity on chest computed tomography and microbiological yield in pulmonary tuberculosis cases

Background: Despite the widespread clinical use of computed tomography (CT), is known regarding the relationship between radiographic activity and microbiological yield in cases of suspected pulmonary tuberculosis (PTB) detected on a CT scan in the chest. Methods: Utilizing data from medical records across multiple centers, we looked at the diagnostic performance for certain PTB. Based on radiographic activity, we divided the patients into four groups: definitely active, possibly active, probably inactive and indeterminate activity. Results: Out of the 162 patients that were included, 79 had PTB that was verified by culture; these patients were categorized into four groups: Undoubtedly active, most likely active, unclear activity, and most likely inactive. These patients made up 48 (29.2%), 81 (49.7%), 17 (10.8%), and 16 (10.3%). In addition to culture rates, TB-PCR and histology data revealed 66.6%, 67.2%, 14.3%, and 0% of each CT radiography procedure respectively, were considered as definitive PTB. Radiography procedure demonstrated good negative predictive values (92.7%, 95% CI, 86.6–96.2) and strong sensitivity (97.1%, 95% confidence interval (CI), 94.6–98.5), which were deemed certainly and probably active PTB in terms of diagnostic efficacy for a certain PTB. According on radiographic activity, respiratory illnesses such non-tuberculous infections caused by mycobacterial and bacterial pneumonia were the most common etiologies other than tuberculosis. Conclusions: Radiographic activity performed well in diagnostics and is readily applicable in therapeutic settings. Nonetheless, physicians must to contemplate alternative options, as radiologic pictures do not validate microbiological patient testing.

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Publication Details

Journal
International Journal of Research in Medical Sciences
Published
2024-08-31
DOI
https://doi.org/10.18203/2320-6012.ijrms20242595
Primary Topic
Radiomics and Machine Learning in Medical Imaging
Type
article
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article

Relationship between radiographic activity on chest computed tomography and microbiological yield in pulmonary tuberculosis cases

Babita Babita, Sanjeev Suman, Vijay Shankar Prasad, Sanjay Kumar
International Journal of Research in Medical Sciences
Radiomics and Machine Learning in Medical Imaging
article

Relationship between radiographic activity on chest computed tomography and microbiological yield in pulmonary tuberculosis cases

Babita Babita, Sanjeev Suman, Vijay Shankar Prasad, Sanjay Kumar
article en

Abstract

Background: Despite the widespread clinical use of computed tomography (CT), is known regarding the relationship between radiographic activity and microbiological yield in cases of suspected pulmonary tuberculosis (PTB) detected on a CT scan in the chest. Methods: Utilizing data from medical records across multiple centers, we looked at the diagnostic performance for certain PTB. Based on radiographic activity, we divided the patients into four groups: definitely active, possibly active, probably inactive and indeterminate activity. Results: Out of the 162 patients that were included, 79 had PTB that was verified by culture; these patients were categorized into four groups: Undoubtedly active, most likely active, unclear activity, and most likely inactive. These patients made up 48 (29.2%), 81 (49.7%), 17 (10.8%), and 16 (10.3%). In addition to culture rates, TB-PCR and histology data revealed 66.6%, 67.2%, 14.3%, and 0% of each CT radiography procedure respectively, were considered as definitive PTB. Radiography procedure demonstrated good negative predictive values (92.7%, 95% CI, 86.6–96.2) and strong sensitivity (97.1%, 95% confidence interval (CI), 94.6–98.5), which were deemed certainly and probably active PTB in terms of diagnostic efficacy for a certain PTB. According on radiographic activity, respiratory illnesses such non-tuberculous infections caused by mycobacterial and bacterial pneumonia were the most common etiologies other than tuberculosis. Conclusions: Radiographic activity performed well in diagnostics and is readily applicable in therapeutic settings. Nonetheless, physicians must to contemplate alternative options, as radiologic pictures do not validate microbiological patient testing.

International Journal of Research in Medical SciencesVol. 12(9)
Patna Medical College and Hospital (IN), Nalanda Medical College and Hospital (IN)
Good health and well-being
Openalex Percentile: Top 76%
Radiomics and Machine Learning in Medical Imaging
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