医学
灌注
核医学
淋巴瘤
肝细胞癌
介入放射学
灌注扫描
血流
血容量
碘
放射科
神经组阅片室
病理
内科学
神经学
化学
有机化学
精神科
作者
Wolfgang Thaiss,Ulrike Haberland,Sascha Kaufmann,Daniel Spira,Christoph Thomas,Konstantin Nikolaou,Marius Horger,Alexander Sauter
标识
DOI:10.1007/s00330-015-4154-9
摘要
To assess the value of iodine concentration (IC) in computed tomography data acquired with 80 kVp, as a surrogate for perfusion imaging in hepatocellular carcinoma (HCC) and lymphoma by comparing iodine related attenuation (IRA) with quantitative Volume Perfusion CT (VPCT)-parameters. VPCT-parameters were compared with intra-tumoral IC at 5 time points after the aortic peak enhancement (APE) with a temporal resolution of 3.5 sec in untreated 30 HCC and 30 lymphoma patients. Intra-tumoral perfusion parameters for HCC showed a blood flow (BF) of 52.7 ± 17.0 mL/100 mL/min, blood volume (BV) 12.6 ± 4.3 mL/100 mL, arterial liver perfusion (ALP) 44.4 ± 12.8 mL/100 mL/min. Lesion IC 7 sec after APE was 133.4 ± 57.3 mg/100 mL. Lymphoma showed a BF of 36.8 ± 13.4 mL/100 mL/min, BV of 8.8 ± 2.8 mL/100 mL and IC of 118.2 ± 64.5 mg/100 mL 3.5 sec after APE. Strongest correlations exist for VPCT-derived BF and ALP with IC in HCC 7 sec after APE (r = 0.71 and r = 0.84) and 3.5 sec after APE in lymphoma lesions (r = 0.77). Significant correlations are also present for BV (r = 0.60 and r = 0.65 for HCC and lymphoma, respectively). We identified a good, time-dependent agreement between VPCT-derived flow values and IC in HCC and lymphoma. Thus, CT-derived ICs 7 sec after APE in HCC and 3.5 sec in lymphoma may be used as surrogate imaging biomarkers for tumor perfusion with 80 kVp. • Iodine concentration derived from low kVp CT is regarded as perfusion surrogate
• Correlation with Perfusion CT was performed to elucidate timing and histology dependencies
• Highest correlation was present 7 sec after aortic peak enhancement in hepatocellular carcinoma
• In lymphoma, highest correlation was calculated 3.5 sec after aortic peak enhancement
• With these results, further optimization of Dual energy CT protocols is possible
科研通智能强力驱动
Strongly Powered by AbleSci AI