David Geffen School of Medicine, Radiological Science, UCLA, 924 Westwood Blvd. Ste 650, Box 957319, Los Angeles, CA, 90095-7319, USA.
Fielding School of Public Health, Biostatistics, Computer Vision and Imaging Biomarkers, UCLA, 924 Westwood Blvd. Ste 650, Box 957319, Los Angeles, CA, 90095-7319, USA.
Eur Radiol. 2020 Feb;30(2):726-734. doi: 10.1007/s00330-019-06402-6. Epub 2019 Aug 26.
High-resolution computed tomography (HRCT) plays an indispensable role in the diagnosis of idiopathic pulmonary fibrosis (IPF). Due to unpredictability in progression and the short median survival of 2-5 years, it is critical to delineate the patients with rapid progression. The aim is to evaluate the predictability of IPF progression using the early quantitative changes.
Automated texture-based quantitative lung fibrosis (QLF) was calculated from the anonymized HRCT. Two datasets were collected retrospectively: (1) a pilot study of 35 subjects with three sequential scans (baseline and 6 and 12 months) to obtain a threshold, where visual assessments were stable at 6 months but worsened at 12 months; (2) 157 independent subjects to test the threshold. Landmark Cox regressions were used to compare the progression-free survival (PFS) defined by pulmonary function using the threshold from the early changes in QLF. C-indexes were reported as estimations of the concordance of prediction.
A threshold of 4% QLF change at 6 months corresponded to the mean change that worsened on HRCT visually at 12 months from the pilot study. Using the threshold, significant differences were found in the independent dataset (hazard ratio (HZ) = 5.92, p = 0.001 by Cox model, C-index = 0.71 at the most severe lobe; and HZ = 3.22, p = 0.012, C-index = 0.68 in the whole lung). Median PFS was 11.9 months for subjects with ≥ 4% changes, whereas median PFS was greater than 18 months for subjects with < 4% changes at the most severe lobe.
Early structural changes on HRCT using a quantitative score can predict progression in lung function.
• Changes on HRCT using quantitative texture-based scores can play a pivotal role for providing information and an aid tool for timely management decision for patients with IPF. • Quantitative changes on HRCT of 4% or more, which matched 6-month prior changes with visual assessment of worsening, can play a pivotal role for providing prediction of clinical progression by 3-5 folds higher in the next incidence, compared with those of subjects with less than 4% changes. • Early structural changes of 4% or more in a paired HRCT scans derived by quantitative scores can predict the progression in lung function in 1-2 years in subjects with IPF, which is critical information for timely management decision for subjects with IPF where the median survival is 2 to 5 years.
高分辨率计算机断层扫描(HRCT)在特发性肺纤维化(IPF)的诊断中起着不可或缺的作用。由于进展的不可预测性和中位生存时间仅为 2-5 年,因此明确快速进展的患者至关重要。目的是使用早期定量变化来评估 IPF 进展的可预测性。
从匿名 HRCT 中计算出基于自动纹理的定量肺纤维化(QLF)。回顾性收集了两个数据集:(1)一项包含 35 例连续 3 次扫描(基线和 6 个月和 12 个月)的试点研究,以获得一个阈值,该阈值在 6 个月时视觉评估稳定,但在 12 个月时恶化;(2)157 例独立受试者用于检验该阈值。使用 landmark Cox 回归比较使用 QLF 早期变化确定的肺功能无进展生存率(PFS)。C 指数作为预测一致性的估计值进行报告。
在 6 个月时 QLF 变化 4%的阈值对应于试点研究中从视觉上在 12 个月时恶化的 HRCT 平均变化。使用该阈值,在独立数据集(Cox 模型的危险比(HZ)= 5.92,p = 0.001,C 指数=最严重叶的 0.71;HZ = 3.22,p = 0.012,C 指数=全肺的 0.68)中发现了显著差异。在最严重叶中,≥4%变化的受试者中位 PFS 为 11.9 个月,而<4%变化的受试者中位 PFS 大于 18 个月。
使用定量评分的 HRCT 早期结构变化可预测肺功能进展。
• 使用基于定量纹理的评分的 HRCT 变化可为 IPF 患者提供信息并作为及时管理决策的辅助工具,发挥关键作用。• 与变化小于 4%的受试者相比,HRCT 定量评分≥4%或更多的变化(与视觉评估恶化的 6 个月前变化相匹配)可以提供高达 3-5 倍的临床进展预测,下一次发生率更高。• 在 IPF 患者中,定量评分衍生的配对 HRCT 扫描中早期结构变化≥4%可预测 1-2 年内肺功能的进展,这对 IPF 患者的及时管理决策至关重要,因为 IPF 的中位生存时间为 2 至 5 年。