Nakashige A, Horiguchi J, Tamura A, Asahara T, Shimamoto F, Ito K
Department of Radiology, Division of Medical Intelligence and Informatics, Programs for Applied Biomedicine, Graduate School of Biomedical Sciences, School of Medicine, Hiroshima University, Hiroshima 734-8551, Japan.
Br J Radiol. 2004 Sep;77(921):728-34. doi: 10.1259/bjr/41168942.
Our purpose was to determine whether hepatic portal perfusion assessed by multidetector row CT using compensation for respiratory misregistration can predict the severity of chronic liver disease. We carried out dynamic CT in 43 patients (chronic hepatitis: n=9; cirrhosis: n=24; normal liver: n=10). In this series, 20 patients had liver tumours. The CT protocol was designed to avoid respiratory artefacts and included two interscan breathing periods during the study. To compensate for respiratory misregistration, image sets in the same z-axis position were acquired from four-slice data on each scan, and the portal perfusion calculations were made according to the maximum slope method. Portal perfusion was compared with and without compensation for respiratory misregistration, and the different types of hepatic disease. In the liver tumour patients in particular, portal perfusion was compared with the degree of hepatic fibrosis in the liver sections. Portal perfusion in the patients without compensation for respiratory misregistration (1.10 ml min(-1)ml(-1)) was higher than that of those with compensation (0.99 ml min(-1)ml(-1); p=0.036). Hepatic portal perfusion of patients with chronic hepatitis (0.97 ml min(-1)ml(-1)) and liver cirrhosis (0.88 ml min(-1)ml(-1)) was less than that of patients with normal liver (1.32 ml min(-1)ml(-1); p=0.03, 0.001). Moderate correlation was seen between portal perfusion and the percentage of fibrosis in patients with liver tumours (r=0.55). Hepatic portal perfusion obtained by multidetector row dynamic CT using compensation for respiratory misregistration has the potential to improve non-invasive assessment of the degree of chronic liver disease.
我们的目的是确定使用呼吸配准补偿的多排螺旋CT评估的肝门静脉灌注是否能够预测慢性肝病的严重程度。我们对43例患者进行了动态CT检查（慢性肝炎：n = 9；肝硬化：n = 24；正常肝脏：n = 10）。在这组患者中，20例患有肝肿瘤。CT方案旨在避免呼吸伪影，研究期间包括两个扫描间期呼吸期。为补偿呼吸配准误差，在每次扫描时从四层数据中获取相同z轴位置的图像集，并根据最大斜率法进行门静脉灌注计算。比较了有无呼吸配准补偿时的门静脉灌注情况，以及不同类型的肝病。特别是在肝肿瘤患者中，将门静脉灌注与肝切片中的肝纤维化程度进行了比较。未进行呼吸配准补偿的患者门静脉灌注（1.10 ml·min⁻¹·ml⁻¹）高于进行补偿的患者（0.99 ml·min⁻¹·ml⁻¹；p = 0.036）。慢性肝炎患者（0.97 ml·min⁻¹·ml⁻¹）和肝硬化患者（0.88 ml·min⁻¹·ml⁻¹）的肝门静脉灌注低于正常肝脏患者（1.32 ml·min⁻¹·ml⁻¹；p = 0.03，0.001）。肝肿瘤患者的门静脉灌注与纤维化百分比之间存在中度相关性（r = 0.55）。使用呼吸配准补偿的多排螺旋动态CT获得的肝门静脉灌注有可能改善慢性肝病程度的无创评估。
Zotero 插件