Ventilation and Perfusion Defects on Phase‐Resolved Functional Lung ( PREFUL ) MRI Predict Silicosis Progression: A Prospective Pilot Study

医学 矽肺 通风(建筑) 扩散能力 接收机工作特性 灌注 肺功能测试 心脏病学 内科学 肺活量测定 肺活量 放射科 呼吸生理学 前瞻性队列研究 肺容积 呼吸道疾病 限制性肺病 曲线下面积 动态恶性通货膨胀 机械通风 核医学 呼吸系统 疾病 灌注扫描 相关性 临床意义 肺功能 疾病严重程度 统计显著性
作者
Tao Ouyang,Yiran Wang,Hongmei Zhang,Andreas Voskrebenzev,Jens Vogel-Claussen,Qiao. Ye,Qi YANG
出处
期刊:Journal of Magnetic Resonance Imaging [Wiley]
标识
DOI:10.1002/jmri.70183
摘要

ABSTRACT Background Silicosis is an occupational lung disease characterized by inflammation and fibrosis. As it is irreversible, early identification of high‐risk individuals is clinically important, but biomarkers for progression remain lacking. Purpose To determine whether ventilation and perfusion defects quantified by phase‐resolved functional lung (PREFUL) MRI can predict silicosis progression. Study Type Prospective. Subjects Thirty participants with silicosis (29 males and 1 female) and 30 healthy controls (29 males and 1 female). Sequence 2D spoiled gradient echo, 3.0 T. Assessment All participants underwent baseline PREFUL MRI, pulmonary function tests (PFTs), and chest CT, with quantitative calculation of ventilation defect percentages (VDP RVent and VDP FVL‐CM ) and perfusion defect percentage (QDP). Silicosis was followed for 1 year with assessments including forced vital capacity percent predicted (FVC% predicted), diffusing capacity of the lungs for carbon monoxide percent predicted (DL co % predicted), symptoms, and CT. Disease progression was defined by any two of: (a) CT evidence of progression, (b) worsening symptoms, or (c) ≥ 10% decline in FVC% predicted or ≥ 15% decline in DLco% predicted. Statistical Tests Spearman correlation coefficients were used to evaluate the correlation between ventilation/perfusion metrics and PFT parameters. Receiver operating characteristic (ROC) curves were used to assess the ability of PREFUL MRI parameters to classify disease progression, reporting the area under the curve (AUC), sensitivity, and specificity. Significance was set at p < 0.05. Results Eight patients progressed and 22 remained stable. Baseline VDP RVent , VDP FVL‐CM , and QDP were significantly higher in progressors (36%, 34%, 40%) than in non‐progressors (22%, 15%, 22%). QDP showed strong predictive performance with AUC of 0.72 (95% CI: 0.51–0.93) for radiological progression, 0.90 (95% CI: 0.79–1.00) for PFTs decline, and 0.97 (95% CI: 0.92–1.00) for global progression. Data Conclusion Increased ventilation and perfusion defects on PREFUL MRI are associated with silicosis progression. Evidence Level 2. Technical Efficacy Stage 2. Trial Registration: NCT06431555
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