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首页> 外文期刊>American journal of respiratory and critical care medicine >Idiopathic Pulmonary Fibrosis: The Association between the Adaptive Multiple Features Method and Fibrosis Outcomes
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Idiopathic Pulmonary Fibrosis: The Association between the Adaptive Multiple Features Method and Fibrosis Outcomes

机译:特发性肺纤维化:自适应多特征方法与纤维化结果之间的关联

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摘要

Rationale: Adaptive multiple features method (AMFM) lung texture analysis software recognizes high-resolution computed tomography (HRCT) patterns. Objectives: To evaluate AMFM and visual quantification of HRCT patterns and their relationship with disease progression in idiopathic pulmonary fibrosis. Methods: Patients with idiopathic pulmonary fibrosis in a clinical trial of prednisone, azathioprine, and N-acetylcysteine underwent HRCT at study start and finish. Proportion of lung occupied by ground glass, ground glass-reticular (GGR), honeycombing, emphysema, and normal lung densities were measured by AMFM and three radiologists, documenting baseline disease extent and postbaseline change. Disease progression includes composite mortality, hospitalization, and 10% FVC decline. Measurements and Main Results: Agreement between visual and AMFM measurements was moderate for GGR (Pearson's correlation r = 0.60, P < 0.0001; mean difference = -0.03 with 95% limits of agreement of -0.19 to 0.14). Baseline extent of GGR was independently associated with disease progression when adjusting for baseline Gender-Age-Physiology stage and smoking status (hazard ratio per 10% visual GGR increase = 1.98,95% confidence interval [CI] = 1.20-3.28, P = 0.008; and hazard ratio per 10% AMFM GGR increase = 1.36,95% CI = 1.01-1.84, P = 0.04). Postbaseline visual and AMFM GGR trajectories were correlated with postbaseline FVC trajectory (r = -0.30, 95% CI = -0.46 to - 0.11, P = 0.002; and r = -0.25,95% CI = -0.42 to -0.06, P = 0.01, respectively). Conclusions: More extensive baseline visual and AMFM fibrosis (as measured by GGR densities) is independently associated with elevated hazard for disease progression. Postbaseline change in AMFM-measured and visually measured GGR densities are modestly correlated with change in FVC. AMFM-measured fibrosis is an automated adjunct to existing prognostic markers and may allow for study enrichment with subjects at increased disease progression risk.
机译:基本原理:自适应多特征方法(AMFM)肺纹理分析软件可识别高分辨率计算机断层扫描(HRCT)模式。目的:评估特发性肺纤维化的AMFM和HRCT模式的视觉定量及其与疾病进展的关系。方法:在泼尼松,硫唑嘌呤和N-乙酰半胱氨酸的临床试验中,患有特发性肺纤维化的患者在研究开始和结束时进行了HRCT。由AMFM和三位放射科医生测量了被毛玻璃,毛玻璃网状细胞(GGR),蜂窝状,肺气肿和正常肺密度占据的肺比例,记录了基线疾病程度和基线后变化。疾病进展包括综合死亡率,住院和FVC下降10%。测量和主要结果:对于GGR,视觉测量和AMFM测量之间的一致性中等(Pearson相关系数r = 0.60,P <0.0001;平均差异= -0.03,一致性的95%限制在-0.19至0.14)。调整基线性别-年龄-生理阶段和吸烟状况时,GGR的基线程度与疾病进展独立相关(每10%的视觉GGR增加的危险比= 1.98,95%的置信区间[CI] = 1.20-3.28,P = 0.008 ;每增加10%AMFM GGR所增加的危险比= 1.36,95%CI = 1.01-1.84,P = 0.04)。基线后视觉和AMFM GGR轨迹与基线FVC轨迹相关(r = -0.30,95%CI = -0.46至-0.11,P = 0.002; r = -0.25,95%CI = -0.42至-0.06,P = 0.01)。结论:更广泛的基线视觉和AMFM纤维化(通过GGR密度测量)与疾病进展的危险增加独立相关。基线后AMFM测量和视觉测量的GGR密度变化与FVC变化适度相关。 AMFM测得的纤维化是现有预后标志物的自动辅助手段,可以使研究对象中疾病进展风险增加的研究变得更加丰富。

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  • 作者单位

    Division of Pulmonary and Critical Care Medicine, Department of Medicine, University of Michigan, Ann Arbor, Michigan;

    Department of Radiology, National Jewish Health, Denver, Colorado;

    Centre for Inflammation Research, Clinical Research Imaging Centre, University of Edinburgh, Edinburgh, United Kingdom;

    Department of Radiology, University of Michigan, Ann Arbor, Michigan;

    Department of Radiology, University of Iowa, Iowa City, Iowa;

    Department of Biostatistics, University of Michigan, Ann Arbor, Michigan;

    Department of Biostatistics, University of Michigan, Ann Arbor, Michigan;

    Department of Biostatistics and Bioinformatics, Duke University, Durham, North Carolina,Duke Clinical Research Institute, Duke Medical Center, Durham, North Carolina;

    Duke Clinical Research Institute, Duke Medical Center, Durham, North Carolina;

    Division of Pulmonary and Critical Care Medicine, Department of Medicine, Cornell Medical College, New York, New York;

    Department of Radiology, University of Iowa, Iowa City, Iowa;

    Division of Pulmonary and Critical Care Medicine, Department of Medicine, University of Michigan, Ann Arbor, Michigan;

  • 收录信息 美国《科学引文索引》(SCI);美国《化学文摘》(CA);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    idiopathic pulmonary fibrosis; multidetector computed tomography; prognosis;

    机译:特发性肺纤维化多探测器计算机断层扫描预后;

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