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An alternative approach to contrast-enhanced imaging: diffusion-weighted imaging and T-1-weighted imaging identifies and quantifies necrosis in Wilms tumour

机译:对比增强成像的替代方法:扩散加权成像和T-1加权成像识别和量化威尔斯肿瘤中的坏死

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ObjectivesVolume of necrosis in Wilms tumour is informative of chemotherapy response. Contrast-enhanced T-1-weighted MRI (T(1)w) provides a measure of necrosis using gadolinium. This study aimed to develop a non-invasive method of identifying non-enhancing (necrotic) tissue in Wilms tumour.MethodsIn this single centre, retrospective study, post-chemotherapy MRI data from 34 Wilms tumour patients were reviewed (March 2012-March 2017). Cases with multiple b value diffusion-weighted imaging (DWI) and T(1)w imaging pre- and post-gadolinium were included. Fractional T-1 enhancement maps were generated from the gadolinium T(1)w data. Multiple linear regression determined whether fitted parameters from a mono-exponential model (ADC) and bi-exponential model (IVIM - intravoxel incoherent motion) (D, D*, f) could predict fractional T-1 enhancement in Wilms tumours, using normalised pre-gadolinium T(1)w (T(1)w(norm)) signal as an additional predictor. Measured and predicted fractional enhancement values were compared using the Bland-Altman plot. An optimum threshold for separating necrotic and viable tissue using fractional T-1 enhancement was established using ROC.ResultsADC and D (diffusion coefficient) provided the strongest predictors of fractional T-1 enhancement in tumour tissue (p<0.001). Using the ADC-T(1)w(norm) model (adjusted R-2=0.4), little bias (mean difference =-0.093, 95% confidence interval = [-0.52, 0.34]) was shown between predicted and measured values of fractional enhancement and analysed via the Bland-Altman plot. The optimal threshold for differentiating viable and necrotic tissue was 33% fractional T-1 enhancement (based on measured values, AUC=0.93; sensitivity=85%; specificity=90%).ConclusionsCombining ADC and T(1)w imaging predicts enhancement in Wilms tumours and reliably identifies and measures necrotic tissue without gadolinium.Key Points center dot Alternative method to identify necrotic tissue in Wilms tumour without using contrast agents but rather using diffusion and T(1)weighted MRI.center dot A method is presented to visualise and quantify necrotic tissue in Wilms tumour without contrast.center dot The proposed method has the potential to reduce costs and burden to Wilms tumour patients who undergo longitudinal follow-up imaging as contrast agents are not used.
机译:Wilms肿瘤中坏死的氛围是化疗反应的信息。对比度增强的T-1加权MRI(T(1)W)提供了使用钆的坏死量。本研究旨在开发鉴定Wilms Tumour中的非增强(坏死)组织的非侵入性方法。此单一中心,回顾性研究,来自34例Wilms肿瘤患者的化疗后MRI数据进行了审查(2012年3月 - 2017年3月) 。包括多个B值扩散加权成像(DWI)和T(1)W成像预钆和后钆的病例。从钆T(1)W数据产生分数T-1增强贴图。多元线性回归确定来自单指示模型(ADC)和双指数模型(IVIM - intervacelel)(D,D *,F)的拟合参数可以预测威尔斯肿瘤中的分数T-1增强,使用标准化的预先实现 - Gadolinium T(1)W(T(1)W(标准))信号作为附加预测器。使用Bland-Altman Plot比较测量和预测的分数增强值。使用ROC.Resultsadc和D(扩散系数)建立了使用分数T-1增强分离坏死和活组织的最佳阈值,而D(扩散系数)提供了肿瘤组织中分数T-1增强的最强预测因子(P <0.001)。使用ADC-T(1)W(NORM)模型(调整的R-2 = 0.4),在预测和测量值之间显示了很少的偏置(平均差异= -0.093,95%置信区间= [-0.52,0.34])小分数增强,通过平坦 - altman图分析。用于区分可行性和坏死组织的最佳阈值是33%的分数T-1增强(基于测量值,AUC = 0.93;灵敏度= 85%;特异性= 90%)。结论结论ADC和T(1)W成像预测增强预测增强Wilms肿瘤并可可靠地识别和测量没有钆的坏死组织.Key点中心点替代方法,以识别Wilms肿瘤中的坏死组织而不使用造影剂,而是使用扩散和T(1)加权MRI.Center Dot提出了一种方法,提出了一种方法在没有对比的情况下量化Wilms肿瘤的坏死组织。Center Dot该方法具有降低威尔姆斯肿瘤患者的成本和负担,因为不使用造影剂。

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