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.
Eur Radiol. 2017 Nov;27(11):4552-4562. doi: 10.1007/s00330-017-4828-6. Epub 2017 Apr 10.
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.
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.
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%.
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.
• 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.
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。
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。
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%。
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。
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。
直径>2cm 的肺肿瘤 ADC 重复性变异系数为 7.1%。
直径>3cm 的肺肿瘤 ADC 重复性变异系数为 3.9%。
ADC 测量精度不受使用的后处理软件的影响。
在多中心试验中,ADC 增加 22%表示治疗有反应。