Application of 128 slice 4D CT whole liver perfusion imaging in hepatic tumor.

To investigate the clinical significance of 128 slice whole liver four dimensional computed tomography (4D CT) in diagnosis and differential diagnosis of hepatic disease, by characterizing and comparing perfusion maps in two common hepatic tumors: hepatocellular carcinoma (HCC) and liver hemangioma. 45 patients with HCC and 40 patients with liver hemangioma were subjected to 128 slice 4D CT of the whole liver perfusion scan, perfusion images were obtained, and data were processed by the perfusion software. Four perfusion parameters generated automatically were used to characterize and compare the perfusion of tumor tissue and surrounding hepatic parenchyma: blood flow perfusion (BF), arterial liver perfusion (ALP), portal venous perfusion (PVP), and hepatic perfusion index (HPI). Volumetric CT perfusion data then reconstructed to yield 4D CT angiography. Morphological observation was made regarding to the blood supply of tumor, intrahepatic vasculature. (1) In both HCC and hepatic hemangioma, BF, ALP, HPI were higher (P < 0.01), whereas PVP were lower (P < 0.01) in tumor tissue than the surrounding hepatic parenchyma (within 1 cm of lesion). Compared with liver hemangioma tumor tissue, BF, ALP, PVP were lower in HCC tumor tissue (P < 0.05; 0.01; 0.01), but HPI is higher (P < 0.05). For the perfusion of the surrounding parenchyma, BF and ALP were higher (P < 0.001), PVP was lower (P < 0.001) in HCC, while HPI was unchanged. (2) Among 45 cases with HCC, cancer feeding artery was found in 28 cases. In 20 cases feeding artery was shown as thickening, rigid, or distorted. Tumor thrombus in portal vein was found in 14 cases. For total of 40 cases with liver hemangioma, in 23 cases blood vessels are shifted due to compression from tumor mass, the rest 17 cases show normal vasculature. With application of 128 slice 4D CT, whole liver perfusion scan can reliably reflect the hemodynamic characteristics of HCC and hepatic hemangioma, proving to be a valuable adjunct to conventional imaging techniques of liver for early detection, differential diagnosis, and determining surgical resection range as well as estimating prognosis for hepatic tumors.