Correlation of Semi-Quantitative Analyses and Visual Scores in Pulmonary Perfusion SPECT/CT Imaging with Pulmonary Function Test Parameters in Patients with Interstitial Lung Diseases
CLINICAL RADIOLOGY（2025）
China Japan Friendship Hosp
Abstract
AIM: To evaluate the correlation between semi-quantitative analyses and visual scores of pulmonary perfusion Single Photon Emission Computed Tomography (SPECT)/ Computed Tomography (CT) imaging and pulmonary function test parameters (PFTs) in patients with interstitial lung diseases (ILDs). MATERIALS AND METHODS: This retrospective study included 35 patients with ILDs from China-Japan Friendship Hospital between January 2020 and December 2022. All patients underwent pulmonary perfusion SPECT/CT imaging and a pulmonary function test. Visual scores of pulmonary perfusion SPECT/CT images were determined using the Meyer method, and functional lung volumes of pulmonary perfusion were calculated using various cutoff values (5%-95% of the maximum pixel value). PFTs included forced expiratory volume in the first second (FEV1) and FEV1 as a percentage of the predicted value (FEV1%), forced vital capacity (FVC) and FVC as a percentage of the predicted value (FVC%), one-second rate (FEV1/FVC), pulmonary carbon monoxide dispersion (DLCO) and DLCO as a percentage of the predicted value (DLCO%). Pearson's correlation was calculated to compare visual scores and lung perfusion functional volumes with PFT indices. RESULTS: Visual scores correlated with FEV1, FEV1%, FVC% and DLCO%, with a significant correlation observed for FEV1% (r 1/4 0.576, P < 0.001). When taking the maximal pixel value of bilateral lung fields or unilateral lung field as 100%, lung perfusion volumes were significantly correlated with FEV1, FEV1%, FVC and FVC% at a threshold of 15%-30% (r(s )> 0.6, P < 0.001). CONCLUSION: Pulmonary perfusion volumes within the threshold of 15%-30% in pulmonary perfusion SPECT/CT imaging reliably reflect lung function and outperform visual scores in patients with ILDs. (c) 2025 The Authors. Published by Elsevier Ltd on behalf of The Royal College of Radiologists. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/ licenses/by-nc-nd/4.0/).
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