| Features of Lung Cysts in Birt-Hogg-Dubé Syndrome from Patients with Multiple Lung Cysts |
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Yong Jun Choi, Hye Jung Park, Chi Young Kim, Bo Mi Jung, Jae Hwa Cho, Min Kwang Byun |
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Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul 04763, Republic of Korea |
Correspondence:
Min Kwang Byun, Tel: +82-2-2019-3454, Fax: + 82-2-3463-3882,
Email: littmann@yuhs.ac
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Received: 1 April 2024 • Revised: 8 July 2024 • Accepted: 19 November 2024 |
| Abstract |
Background
High-resolution chest computed tomography (CT) is a crucial assessment tool for diagnosis of Birt-Hogg-Dubé syndrome (BHD). This study aims to analyze the differences of lung cyst between BHD and other cystic lung diseases.
Methods
From January 2020 to December 2022, we retrospectively screened all patients who underwent chest CT at Gangnam Severance Hospital. We included the patients with multiple lung cysts for the analysis of chest CT images.
Results
Over a three-year period, out of 52,823 patients who underwent a chest CT scan, 301 patients (0.6%) with multiple lung cysts were enrolled, of which 24 (8.0%) were diagnosed with BHD. Notably, 95.8% and 83.3% of BHD patients exhibited bilateral cysts and basal predominance, and had larger cysts with a maximal diameter (averaging 32.1mm [interquartile range 26.5mm to 43.5mm]) than lymphangioleiomyomatosis (17.0mm [13.2;19.1], p<0.001) and others’ group (11.3mm [7.9;17.0], p<0.001). Additionally, 95.8% of BHD patients has a diverse range in cyst sizes and morphologies. Multivariate logistic regression analysis identified bilateral cysts (OR 12.393, 95% CI: 1.613–274.682, p=0.038), basal predominance (OR 8.511, 95% CI: 2.252–39.392, p=0.002), maximum diameter (OR 1.053, 95% CI: 1.009–1.108, p=0.032), and diversity of morphology (OR 19.513, 95% CI: 2.833–398.119, p=0.010) as factors associated with BHD diagnosis. By stepwise selection, a multivariate prediction model for BHD diagnosis was established, demonstrating a sensitivity of 95.83%, a specificity of 81.22%, and an AUC of 0.951 (95% CI: 0.914-0.987).
Conclusions
Distinguishing features of lung cyst from other cystic lung diseases include bilateral cysts, basal dominance, large size, and irregular shape. The predictive model can assist in identifying undiagnosed patients with BHD. |
| Key Words:
Birt–Hogg–Dube syndrome, Cystic lung disease, Chest computed tomography, FLCN mutation |
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