Department of Radiology, University of Wisconsin School of Medicine & Public Health, E3/311 Clinical Science Center 600 Highland Ave., Madison, WI, 53792-3252, USA.
Imaging Biomarkers and Computer-Aided Diagnosis Laboratory, Department of Radiology and Imaging Sciences, National Institutes of Health Clinical Center, Bethesda, MD, USA.
Abdom Radiol (NY). 2024 Jul;49(7):2543-2551. doi: 10.1007/s00261-024-04376-8. Epub 2024 May 15.
Fully-automated CT-based algorithms for quantifying numerous biomarkers have been validated for unenhanced abdominal scans. There is great interest in optimizing the documentation and reporting of biophysical measures present on all CT scans for the purposes of opportunistic screening and risk profiling. The purpose of this study was to determine and adjust the effect of intravenous (IV) contrast on these automated body composition measures at routine portal venous phase post-contrast imaging.
Final study cohort consisted of 1,612 older adults (mean age, 68.0 years; 594 women) all imaged utilizing a uniform CT urothelial protocol consisting of pre-contrast, portal venous, and delayed excretory phases. Fully-automated CT-based algorithms for quantifying numerous biomarkers, including muscle and fat area and density, bone mineral density, and solid organ volume were applied to pre-contrast and portal venous phases. The effect of IV contrast upon these body composition measures was analyzed. Regression analyses, including square of the Pearson correlation coefficient (r), were performed for each comparison.
We found that simple, linear relationships can be derived to determine non-contrast equivalent values from the post-contrast CT biomeasures. Excellent positive linear correlation (r = 0.91-0.99) between pre- and post-contrast values was observed for all automated soft tissue measures, whereas moderate positive linear correlation was observed for bone attenuation (r = 0.58-0.76). In general, the area- and volume-based measurement require less adjustment than attenuation-based measures, as expected.
Fully-automated quantitative CT-biomarker measures at portal venous phase abdominal CT can be adjusted to a non-contrast equivalent using simple, linear relationships.
基于 CT 的全自动算法已被验证可用于量化增强腹部扫描的多种生物标志物。人们对优化所有 CT 扫描上的生物物理指标的记录和报告非常感兴趣,这些指标可用于机会性筛查和风险分层。本研究旨在确定并调整静脉(IV)造影剂对常规门静脉期后对比增强成像时这些自动身体成分测量值的影响。
最终研究队列包括 1612 名老年人(平均年龄 68.0 岁;594 名女性),所有患者均采用统一的 CT 尿路上皮方案进行成像,该方案包括对比前、门静脉和延迟排泄期。对预对比和门静脉期进行了用于量化多种生物标志物的全自动 CT 算法,包括肌肉和脂肪面积和密度、骨矿物质密度和实体器官体积。分析了 IV 造影剂对这些身体成分测量值的影响。对于每个比较,均进行了回归分析,包括 Pearson 相关系数(r)的平方。
我们发现,从对比后 CT 生物测量值可以推导出简单的线性关系,以确定非对比等效值。所有自动软组织测量值的术前和术后值之间均观察到极好的正线性相关性(r=0.91-0.99),而骨衰减的相关性则为中度正线性相关性(r=0.58-0.76)。通常,基于面积和体积的测量值需要的调整比基于衰减的测量值少,这是预期的。
门静脉期腹部 CT 的全自动定量 CT-生物标志物测量值可以使用简单的线性关系调整为非对比等效值。