Three-dimensional whole-liver perfusion magnetic resonance imaging in patients with hepatocellular carcinomas and colorectal hepatic metastases.
Three-dimensional whole-liver perfusion magnetic resonance imaging in patients with hepatocellular carcinomas and colorectal hepatic metastases.
复制标题
肝细胞癌及结直肠肝转移患者的三维全肝灌注磁共振成像
DOI:
10.1186/1471-230x-13-53
复制
发表时间:
2013-03-25
影响因子:
2.4
通讯作者:
Qu XD
中科院分区:
文献类型:
--
作者:
Rao SX;Chen CZ;Liu H;Zeng MS;Qu XD
BackgroundThree-dimensional (3D) whole-liver perfusion magnetic resonance(MR) imaging with parallel imaging, a novel imaging method to characterize tumor vascularizationin vivo,has recently been applied to comprehensively image perfusion changes in large tumors. Coupled with new perfusion software, this technique enables motion correction, registration, and evaluation of perfusion MR parameters. The purpose of this study was to assess the feasibility of 3D whole-liver perfusion MR, for imaging hepatocellular carcinoma (HCC) and colorectal hepatic metastases (CRHM).Methods26 patients with hepatic tumors (10 HCC; 16 CRHM) were subjected to 3D whole-liver perfusion MR with a temporal resolution of 3.7 seconds. The following estimated perfusion parameters were measured: the volume transfer constant Ktrans(min-1); the volume (Ve) of extravascular extracellular space (EES) per volume unit of tissue; and the flux rate constant between EES and plasma Kep(min-1). Statistical analysis was conducted to investigate inter-observer characteristics and significance of the measured parameters.ResultsInter-observer agreement analysis (95% limits of agreement) yielded a mean difference of −0.0048 min-1(−0.0598 ~ 0.0502) for Ktrans, -0.0630 ml (−0.5405 ~ 0.4145) for Ve, and −0.0031 min-1(−0.0771 ~ 0.0709) for Keprespectively. When comparing images from patients with HCC vs. CRHM, significant differences were seen for the mean Ktrans(p = 0.017), but not for Ve(p = 0.117) or Kep(p = 0.595).ConclusionHerein we show that 3D whole-liver MR perfusion imaging with semi-automatic data analysis is feasible and enables the reliable quantitative evaluation of the perfusion parameters for HCCs and CRHMs.