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肾脏肿块的虚拟非增强光谱CT:是时候摒弃传统的未增强期了吗?

Virtual Non-Contrast Spectral CT in Renal Masses: Is It Time to Discard Conventional Unenhanced Phase?

作者信息

Bucolo Giuseppe M, Ascenti Velio, Barbera Simone, Fontana Federico, Aricò Francesco M, Piacentino Filippo, Coppola Andrea, Cicero Giuseppe, Marino Maria Adele, Booz Christian, Vogl Thomas J, D'Angelo Tommaso, Venturini Massimo, Ascenti Giorgio

机构信息

Department of Biomedical Sciences and Morphological and Functional Imaging, University of Messina, 98122 Messina, Italy.

Postgraduation School in Radiodiagnostics, Università degli Studi di Milano, Via Festa del Perdono 7, 20122 Milan, Italy.

出版信息

J Clin Med. 2023 Jul 17;12(14):4718. doi: 10.3390/jcm12144718.

Abstract

Dual-layer Dual-Energy CT (dl-DECT) allows one to create virtual non-contrast (VNC) reconstructions from contrast-enhanced CT scans, with a consequent decrease of the radiation dose. This study aims to assess the reliability of VNC for the diagnostic evaluation of renal masses in comparison with true non-contrast (TNC) images. The study cohort included 100 renal masses in 40 patients who underwent dl-DECT between June and December 2021. Attenuation values and standard deviations were assessed through the drawing of regions of interest on TNC and VNC images reconstructed from corticomedullary and nephrographic phases. A Wilcoxon signed-rank test was performed in order to assess equivalence of data and Spearman's Rho correlation coefficient to evaluate correlations between each parameter. The diagnostic accuracy of VNC was estimated through the performance of receiver operating characteristic (ROC) curve analysis. Differences between attenuation values were, respectively, 74%, 18%, 5% and 3% (TNC-VNC), and 74%, 15%, 9% and 2% (TNC-VNC). The Wilcoxon signed-rank test demonstrated the equivalence of attenuation values between the TNC and VNC images. The diagnostic performance of VNC images in the depiction of kidney simple cysts remains high compared to TNC (VNC-AUC: 0.896; VNC-AUC: 0.901, TNC-AUC: 0.903). In conclusion, quantitative analysis of attenuation values showed a strong agreement between VNC and TNC images in the evaluation of renal masses.

摘要

双层双能量CT(dl-DECT)能够根据增强CT扫描创建虚拟平扫(VNC)重建图像,从而降低辐射剂量。本研究旨在评估VNC在肾肿块诊断评估中与真正平扫(TNC)图像相比的可靠性。研究队列包括2021年6月至12月期间接受dl-DECT检查的40例患者中的100个肾肿块。通过在从皮质髓质期和肾实质期重建的TNC和VNC图像上绘制感兴趣区域来评估衰减值和标准差。进行Wilcoxon符号秩检验以评估数据的等效性,并使用Spearman等级相关系数来评估各参数之间的相关性。通过绘制受试者工作特征(ROC)曲线分析来估计VNC的诊断准确性。衰减值差异分别为74%、18%、5%和3%(TNC-VNC),以及74%、15%、9%和2%(TNC-VNC)。Wilcoxon符号秩检验证明了TNC和VNC图像之间衰减值的等效性。与TNC相比,VNC图像在描绘肾单纯囊肿方面的诊断性能仍然很高(VNC-AUC:0.896;VNC-AUC:0.901,TNC-AUC:0.903)。总之,衰减值的定量分析表明,在评估肾肿块时,VNC和TNC图像之间具有很强的一致性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6875/10380803/b40fcffae11f/jcm-12-04718-g001.jpg

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