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HRCT score models and network analyses for FEV1 (a) and FEV1/FVC (b). Top lines show SBC-defined HRCT score groups with predicted PFT values; PAD, MOS and VOL are given as present (1) or absent (0), p values are for differences between the respective HRCT score groups. Network analyses depict figures for Spearman correlation coefficients, with red lines for positive, blue lines for negative correlations. Correlation coefficients ≤±0.1 are represented as thin gray lines without figures. FEV1: forced expiratory volume in 1 second; FEV1/FVC: FEV1/forced vital capacity; HRCT: high-resolution computed tomography; UVA: univariate analysis; MVA: multivariate analysis; BRK: traction bronchiectasis; RET: reticulation; HON: honeycombing; EMP: emphysema; GGO: ground glass opacities; NDL: noduli; CON: consolidations; PAD: pulmonary artery: aortic diameter </≥1; MOS: mosaic attenuation; VOL: volume reduction; SBC: Schwarz Bayesian Information Criterion; PFT: pulmonary function test.

HRCT score models and network analyses for FEV1 (a) and FEV1/FVC (b). Top lines show SBC-defined HRCT score groups with predicted PFT values; PAD, MOS and VOL are given as present (1) or absent (0), p values are for differences between the respective HRCT score groups. Network analyses depict figures for Spearman correlation coefficients, with red lines for positive, blue lines for negative correlations. Correlation coefficients ≤±0.1 are represented as thin gray lines without figures. FEV1: forced expiratory volume in 1 second; FEV1/FVC: FEV1/forced vital capacity; HRCT: high-resolution computed tomography; UVA: univariate analysis; MVA: multivariate analysis; BRK: traction bronchiectasis; RET: reticulation; HON: honeycombing; EMP: emphysema; GGO: ground glass opacities; NDL: noduli; CON: consolidations; PAD: pulmonary artery: aortic diameter </≥1; MOS: mosaic attenuation; VOL: volume reduction; SBC: Schwarz Bayesian Information Criterion; PFT: pulmonary function test.

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The aim was to evaluate the impact of multiple high-resolution computed tomography (HRCT) features on pulmonary function test (PFT) biomarkers in fibrotic interstitial lung disease (FILD) patients. HRCT of subsequently ILD-board-discussed FILD patients were semi-quantitatively evaluated in a standardized approach: 18 distinct lung regions were scor...

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... [13,14] In addition, presence and extent of fibrosis on HRCT have been identified as highly significant risk factors for disease progression in various ILD subtypes. [10,15] However, not all patients presenting with fibrotic ILD will experience progression, but a significant proportion may even demonstrate functional improvement over time, reflecting the heterogeneous nature of the disease, like shown in SSC-ILD. ...
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