Scienze Radiologiche, Department of Medicine and Surgery, University of Parma, Padiglione Barbieri, V. Gramsci 14, Parma, Italy.
Department of Clinical Sciences and Community, University of Milan, Milan, Italy.
Eur Radiol. 2020 May;30(5):2669-2679. doi: 10.1007/s00330-019-06619-5. Epub 2020 Jan 31.
To test HRCT with either visual or quantitative analysis in both short-term and long-term follow-up of stable IPF against long-term (transplant-free) survival, beyond 2 years of disease stability.
Fifty-eight IPF patients had FVC measurements and HRCTs at baseline (HRCT0), 10-14 months (HRCT1) and 22-26 months (HRCT2). Visual scoring, CALIPER quantitative analysis of HRCT measures, and their deltas were evaluated against combined all-cause mortality and lung transplantation by adjusted Cox proportional hazard models at each time interval.
At HRCT1, a ≥ 20% relative increase in CALIPER-total lung fibrosis yielded the highest radiological association with outcome (C-statistic 0.62). Moreover, the model combining FVC% drop ≥ 10% and ≥ 20% relative increase of CALIPER-total lung fibrosis improved the stratification of outcome (C-statistic 0.69, high-risk category HR 12.1; landmark analysis at HRCT1 C-statistic 0.66, HR 14.9 and at HRCT2 C-statistic 0.61, HR 21.8). Likewise, at HRCT2, the model combining FVC% decrease trend and ≥ 20% relative increase of CALIPER-pulmonary vessel-related volume (VRS) improved the stratification of outcome (C-statistic 0.65, HR 11.0; landmark analysis at HRCT1 C-statistic 0.62, HR 13.8 and at HRCT2 C-statistic 0.58, HR 12.6). A less robust stratification of outcome distinction was also demonstrated with the categorical visual scoring of disease change.
Annual combined CALIPER -FVC changes showed the greatest stratification of long-term outcome in stable IPF patients, beyond 2 years.
• Longitudinal high-resolution computed tomography (HRCT) data is more helpful than baseline HRCT alone for stratification of long-term outcome in IPF. • HRCT changes by visual or quantitative analysis can be added with benefit to the current spirometric reference standard to improve stratification of long-term outcome in IPF. • HRCT follow-up at 12-14 months is more helpful than HRCT follow-up at 23-26 months in clinically stable subjects with IPF.
在特发性肺纤维化(IPF)疾病稳定期超过 2 年的情况下,通过短期和长期随访,使用 HRCT 进行视觉或定量分析,以测试其对长期(无移植)生存率的影响。
58 名 IPF 患者在基线(HRCT0)、10-14 个月(HRCT1)和 22-26 个月(HRCT2)时进行了 FVC 测量和 HRCT。通过调整 Cox 比例风险模型,在每个时间间隔内,将视觉评分、CALIPER HRCT 测量的定量分析及其差值与全因死亡率和肺移植进行评估。
在 HRCT1 时,CALIPER-全肺纤维化的相对增加≥20%与结果具有最高的放射学相关性(C 统计量 0.62)。此外,将 FVC%下降≥10%和 CALIPER-全肺纤维化相对增加≥20%相结合的模型改善了结果的分层(C 统计量 0.69,高危类别 HR 12.1;HRCT1 的标志分析 C 统计量 0.66,HR 14.9 和 HRCT2 的标志分析 C 统计量 0.61,HR 21.8)。同样,在 HRCT2 时,将 FVC%下降趋势和 CALIPER-肺血管相关容积(VRS)的相对增加≥20%相结合的模型改善了结果的分层(C 统计量 0.65,HR 11.0;HRCT1 的标志分析 C 统计量 0.62,HR 13.8 和 HRCT2 的标志分析 C 统计量 0.58,HR 12.6)。疾病变化的分类视觉评分也显示出对结果区分的分层效果较差。
在稳定的 IPF 患者中,每年联合 CALIPER-FVC 的变化显示出对长期预后的最大分层作用,超过 2 年。
纵向高分辨率计算机断层扫描(HRCT)数据比单独基线 HRCT 更有助于对 IPF 的长期预后进行分层。
通过视觉或定量分析的 HRCT 变化可以与当前的肺活量计参考标准相结合,以改善 IPF 的长期预后分层。
在临床稳定的 IPF 患者中,12-14 个月的 HRCT 随访比 23-26 个月的 HRCT 随访更有帮助。