International journal of rheumatic diseases · 2023
Quantitative analysis of lung parenchymal involvement in Behçet's disease by the novel automatic program.
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Polat Gökhan, Tezcan Mehmet Alperen, Polat Merve, Barutçugil Furkan, Bayram Tuncay, Sade Recep, Kudaş Özlem, Pirimoğlu R Berhan, İsmailova Elshad, Yalçın Ahmet, Meletlioğlu Emrah, Kahraman Mustafa
Аннотация
OBJECTIVES: We aimed to quantitatively analyze lung parenchymal changes in Behçet's patients and to detect early parenchymal quantitative changes that occur in the absence of positive visual radiological findings.
METHODS: In our study, a total of 31 patients with Behçet's disease, 17 with positive radiological findings and 14 patients without positive radiological findings, and a control group of 33 individuals were evaluated. The automatic program determined lung volumes, lung densities, and opacity volume percentages by evaluating the contrast-enhanced lung computed tomography scans.
RESULTS: The total lung volume was 3632.98 ± 1100.53 mL in the Behçet's disease patient group and 4925.70 ± 1098.88 mL in the control group, and there was a significant decrease in the total lung volume in Behçet's disease patients (P < 0.0001). The mean lung density was -723.73 ± 65.16 in the Behçet's disease patient group and -767.35 ± 41.17 in the control group, and there was a significant increase in the mean density in the Behçet's patients (P = 0.0023). A significantly higher correlation was observed between lung density and lung volume in Behçet's patients (P < 0.0001, r = -0.795). The lung volume of Behçet's disease patients with negative radiological findings was significantly lower than that of the control group (P = 0.0342).
CONCLUSIONS: Lung volumetric changes in Behçet's disease patients are the quantitative data most affected by the disease. In addition, lung volume decreases in Behçet's patients who do not have visual parenchymal involvement.
METHODS: In our study, a total of 31 patients with Behçet's disease, 17 with positive radiological findings and 14 patients without positive radiological findings, and a control group of 33 individuals were evaluated. The automatic program determined lung volumes, lung densities, and opacity volume percentages by evaluating the contrast-enhanced lung computed tomography scans.
RESULTS: The total lung volume was 3632.98 ± 1100.53 mL in the Behçet's disease patient group and 4925.70 ± 1098.88 mL in the control group, and there was a significant decrease in the total lung volume in Behçet's disease patients (P < 0.0001). The mean lung density was -723.73 ± 65.16 in the Behçet's disease patient group and -767.35 ± 41.17 in the control group, and there was a significant increase in the mean density in the Behçet's patients (P = 0.0023). A significantly higher correlation was observed between lung density and lung volume in Behçet's patients (P < 0.0001, r = -0.795). The lung volume of Behçet's disease patients with negative radiological findings was significantly lower than that of the control group (P = 0.0342).
CONCLUSIONS: Lung volumetric changes in Behçet's disease patients are the quantitative data most affected by the disease. In addition, lung volume decreases in Behçet's patients who do not have visual parenchymal involvement.