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Published on: December 19, 2020
Quantification of Pulmonary Inflammatory Processes Using Chest Radiography: Tuberculosis as the Motivating
Guilherme Giacomini1, José R A Miranda, Ana Luiza M Pavan
1From Departamento de Física e Biofísica, Instituto de Biociências de Botucatu-IBB, UNESP-Univ Estadual Paulista, Botucatu/SP, Brazil (GG, JRM, ALMP, AFFA, MDO); Departamento de Doenças Tropicais e Diagnóstico por Imagem, Faculdade de Medicina de Botucatu, UNESP-Univ Estadual Paulista, Botucatu/SP, Brazil (SMR, PCMP, DRP); and Centro Brasileiro de Pesquisas Físicas-CBPF/MCT, Rio de Janeiro/RJ, Brazil (SBD).
Abstract:
The purpose of this work was to develop a quantitative method for evaluating the pulmonary inflammatory process (PIP) through the computational analysis of chest radiography exams in posteroanterior (PA) and lateral views. The quantification procedure was applied to patients with tuberculosis (TB) as the motivating application.A study of high-resolution computed tomography (HRCT) examinations of patients with TB was developed to establish a relation between the inflammatory process and the signal difference-to-noise ratio (SDNR) measured in the PA projection. A phantom essay was used to validate this relation, which was implemented using an algorithm that is able to estimate the volume of the inflammatory region based solely on SDNR values in the chest radiographs of patients.The PIP volumes that were quantified for 30 patients with TB were used for comparisons with direct HRCT analysis for the same patient. The Bland-Altman statistical analyses showed no significant differences between the 2 quantification methods. The linear regression line had a correlation coefficient of R = 0.97 and P < 0.001, showing a strong association between the volume that was determined by our evaluation method and the results obtained by direct HRCT scan analysis.Since the diagnosis and follow-up of patients with TB is commonly performed using X-rays exams, the method developed herein can be considered an adequate tool for quantifying the PIP with a lower patient radiation dose and lower institutional cost. Although we used patients with TB for the application of the method, this method may be used for other pulmonary diseases characterized by a PIP.
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