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肺癌的弥散加权(DW)MRI:ADC 测试-重测可重复性。

Diffusion-weighted (DW) MRI in lung cancers: ADC test-retest repeatability.

机构信息

CRUK Cancer Imaging Centre, Institute of Cancer Research and Royal Marsden NHS Foundation Trust, Downs Road, Surrey, SM2 5PT, UK.

University of Manchester, Manchester, UK.

出版信息

Eur Radiol. 2017 Nov;27(11):4552-4562. doi: 10.1007/s00330-017-4828-6. Epub 2017 Apr 10.

Abstract

PURPOSE

To determine the test-retest repeatability of Apparent Diffusion Coefficient (ADC) measurements across institutions and MRI vendors, plus investigate the effect of post-processing methodology on measurement precision.

METHODS

Thirty malignant lung lesions >2 cm in size (23 patients) were scanned on two occasions, using echo-planar-Diffusion-Weighted (DW)-MRI to derive whole-tumour ADC (b = 100, 500 and 800smm). Scanning was performed at 4 institutions (3 MRI vendors). Whole-tumour volumes-of-interest were copied from first visit onto second visit images and from one post-processing platform to an open-source platform, to assess ADC repeatability and cross-platform reproducibility.

RESULTS

Whole-tumour ADC values ranged from 0.66-1.94x10mms (mean = 1.14). Within-patient coefficient-of-variation (wCV) was 7.1% (95% CI 5.7-9.6%), limits-of-agreement (LoA) -18.0 to 21.9%. Lesions >3 cm had improved repeatability: wCV 3.9% (95% CI 2.9-5.9%); and LoA -10.2 to 11.4%. Variability for lesions <3 cm was 2.46 times higher. ADC reproducibility across different post-processing platforms was excellent: Pearson's R = 0.99; CoV 2.8% (95% CI 2.3-3.4%); and LoA -7.4 to 8.0%.

CONCLUSION

A free-breathing DW-MRI protocol for imaging malignant lung tumours achieved satisfactory within-patient repeatability and was robust to changes in post-processing software, justifying its use in multi-centre trials. For response evaluation in individual patients, a change in ADC >21.9% will reflect treatment-related change.

KEY POINTS

• In lung cancer, free-breathing DWI-MRI produces acceptable images with evaluable ADC measurement. • ADC repeatability coefficient-of-variation is 7.1% for lung tumours >2 cm. • ADC repeatability coefficient-of-variation is 3.9% for lung tumours >3 cm. • ADC measurement precision is unaffected by the post-processing software used. • In multicentre trials, 22% increase in ADC indicates positive treatment response.

摘要

目的

确定表观扩散系数(ADC)测量值在机构间和 MRI 供应商间的测试-再测试重复性,并研究后处理方法对测量精度的影响。

方法

对 30 个大小>2cm 的恶性肺病变(23 名患者)进行了两次扫描,使用单次激发平面回波扩散加权(DW)MRI 得出全肿瘤 ADC(b=100、500 和 800smm)。扫描在 4 个机构(3 个 MRI 供应商)进行。第一次扫描的全肿瘤体积感兴趣区(VOI)被复制到第二次扫描图像上,并且从一个后处理平台复制到一个开源平台,以评估 ADC 的重复性和跨平台可重复性。

结果

全肿瘤 ADC 值范围为 0.66-1.94x10mms(平均值=1.14)。患者内变异系数(wCV)为 7.1%(95%CI 5.7-9.6%),一致性界限(LoA)为-18.0 至 21.9%。直径>3cm 的病变具有更好的重复性:wCV 为 3.9%(95%CI 2.9-5.9%);和 LoA-10.2 至 11.4%。直径<3cm 的病变的变异性高 2.46 倍。不同后处理平台的 ADC 重现性非常好:Pearson 相关系数(R)为 0.99;变异系数(CoV)为 2.8%(95%CI 2.3-3.4%);和 LoA-7.4 至 8.0%。

结论

用于成像恶性肺肿瘤的自由呼吸 DW-MRI 方案实现了令人满意的患者内重复性,并且对后处理软件的变化具有鲁棒性,证明其可用于多中心试验。对于个体患者的反应评估,ADC 的变化>21.9%将反映与治疗相关的变化。

关键点

  1. 在肺癌中,自由呼吸 DWI-MRI 可产生可评估 ADC 测量值的可接受图像。

  2. 直径>2cm 的肺肿瘤 ADC 重复性变异系数为 7.1%。

  3. 直径>3cm 的肺肿瘤 ADC 重复性变异系数为 3.9%。

  4. ADC 测量精度不受使用的后处理软件的影响。

  5. 在多中心试验中,ADC 增加 22%表示治疗有反应。

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