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Analysis of 18FDG PET/CT Imaging as a Tool for Studying Mycobacterium tuberculosis Infection and Treatment in Non-human Primates
Published on: September 5, 2017
[INFORMATIVITY OF COMPUTER DENSITOMETRY FOR ASSESSING THE DEGREE OF ACTIVITY OF THE INFLAMMATORY PROCESS IN PULMONARY
M Lynnyk1, М Gumeniuk1, I Kalabukha1
11GU "National Institute of Phthisiology and Pulmonology named after F.G. Yanovsky NAMS of Ukraine "; 2National Medical Academy of Postgraduate Education named after P.L. Shupika, Kiev, Ukraine.
Computer densitometry of the chest accurately assesses inflammatory process activity in pulmonary tuberculosis patients. This objective, non-invasive method correlates CT densitometry with histopathology for reliable disease staging.
Area of Science:
- Radiology
- Pulmonology
- Pathology
Background:
- Pulmonary tuberculosis (TB) diagnosis and management require accurate assessment of inflammatory activity.
- Histopathological analysis of resected tissue is a definitive but invasive method for evaluating inflammation.
- Non-invasive imaging techniques are needed to objectively quantify disease activity.
Purpose of the Study:
- To establish the correlation between chest computed tomography (CT) densitometric indicators and the degree of inflammatory activity in pulmonary tuberculosis.
- To validate computer densitometry as an objective, non-invasive method for assessing specific inflammatory processes in the lungs.
Main Methods:
- Analysis of histopathological findings from resected lung tissue in 65 pulmonary tuberculosis patients (39 male, 25 female, aged 24-60).
- Measurement of densitometric indicators (average, minimum, maximum density values) on fixed areas of axial CT scan sections.
- Correlation of CT densitometry results with histopathological data.
Main Results:
- Computer densitometry demonstrated a high degree of confidence in establishing the activity of specific inflammatory processes.
- The average, minimum, and maximum density values on CT scans accurately reflected the histological structure of the inflammatory focus.
- CT densitometry successfully identified areas with high activity of the specific inflammatory process.
Conclusions:
- Computer densitometry is an objective and non-invasive research method for assessing inflammatory activity in pulmonary tuberculosis.
- CT densitometry provides reliable data that correlates with histopathological findings, aiding in disease assessment.
- This technique allows for the identification of highly active inflammatory areas, improving diagnostic accuracy.
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