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
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
j44444发布了新的文献求助10
刚刚
好心秦发布了新的文献求助10
刚刚
刚刚
儒雅的豌豆完成签到,获得积分10
1秒前
彭于晏应助杨钧贺采纳,获得10
1秒前
2秒前
123123发布了新的文献求助10
3秒前
3秒前
ZRR发布了新的文献求助10
4秒前
4秒前
隐形曼青应助小红采纳,获得10
5秒前
Ahui发布了新的文献求助10
8秒前
上官若男应助阿航采纳,获得10
8秒前
汉堡包应助小小采纳,获得10
9秒前
9秒前
卡密尔发布了新的文献求助10
9秒前
cc2004bj应助如意歌曲采纳,获得10
9秒前
11秒前
爱笑睿渊发布了新的文献求助10
11秒前
常温可乐完成签到,获得积分10
12秒前
12秒前
12秒前
研友_VZG7GZ应助李嘉慧采纳,获得10
13秒前
桐桐应助好心秦采纳,获得10
14秒前
阔达的冷风完成签到,获得积分10
14秒前
ycdeyc发布了新的文献求助10
15秒前
李爱国应助傲娇的凡阳采纳,获得10
16秒前
16秒前
Kukrushka完成签到,获得积分10
16秒前
可爱花瓣发布了新的文献求助10
16秒前
研友_VZG7GZ应助害怕的鞋垫采纳,获得10
17秒前
Chanlewu发布了新的文献求助10
17秒前
18秒前
18秒前
lmy1234QAQ完成签到,获得积分10
18秒前
xbw发布了新的文献求助10
18秒前
小红发布了新的文献求助10
19秒前
打打应助清新的梦桃采纳,获得10
20秒前
科研通AI2S应助追梦小帅采纳,获得10
20秒前
xiuye完成签到,获得积分20
20秒前
高分求助中
Malcolm Fraser : a biography 680
Signals, Systems, and Signal Processing 610
天津市智库成果选编 600
Climate change and sports: Statistics report on climate change and sports 500
Forced degradation and stability indicating LC method for Letrozole: A stress testing guide 500
全相对论原子结构与含时波包动力学的理论研究--清华大学 500
Organic Reactions Volume 118 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6455151
求助须知:如何正确求助?哪些是违规求助? 8265846
关于积分的说明 17617321
捐赠科研通 5521341
什么是DOI,文献DOI怎么找? 2904828
邀请新用户注册赠送积分活动 1881585
关于科研通互助平台的介绍 1724441