Ultrasound Imaging Center, Hyogo College of Medicine, 1-1 Mukogawa-cho, Nishinomiya, Hyogo, 663-8501, Japan,
J Gastroenterol. 2014 Apr;49(4):755-63. doi: 10.1007/s00535-013-0830-1. Epub 2013 May 30.
The ultrasonography contrast agent Sonazoid provides parenchyma-specific contrast imaging (Kupffer imaging) based on its accumulation in Kupffer cells. This agent also facilitates imaging of the fine vascular architecture in tumors through maximum intensity projection (MIP). We examined the clinical utility of the malignancy grading system for hepatocellular carcinoma (HCC) using a combination of 2 different contrast-enhanced ultrasonography images.
We studied 121 histologically confirmed cases of HCC (well-differentiated, 45; moderately differentiated, 70; poorly differentiated, 6). The results of Kupffer imaging were classified as (1) iso-echoic pattern or (2) hypo-echoic pattern. The MIP patterns produced were classified into one of the following categories: fine, tumor vessels were not clearly visualized and only fine vessels were visualized; vascular, tumor vessels were visualized clearly; irregular, tumor vessels were thick and irregular. Based on the combined assessment of Kupffer imaging and the MIP pattern, the samples were classified into 4 grades: Grade 1 (iso-fine/vascular), Grade 2 (hypo-fine), Grade 3 (hypo-vascular), and Grade 4 (hypo-irregular).
The distribution of moderately and poorly differentiated HCCs was as follows: Grade 1, 4 % (1/24); Grade 2, 52 % (15/29); Grade 3, 85 % (44/52); and Grade 4, 100 % (16/16). The grading system also predicted portal vein invasion in 72 resected HCCs: Grade 1, 0 % (0/4); Grade 2, 13 % (1/8); Grade 3, 23 % (11/48); and Grade 4, 67 % (8/12).
This new malignant grading system is useful for estimation of histological differentiation and portal vein invasion of HCC.
超声造影剂 Sonazoid 基于其在库普弗细胞中的积累提供实质特异性对比成像(库普弗成像)。该试剂还通过最大强度投影(MIP)促进肿瘤精细血管结构的成像。我们使用两种不同的对比增强超声图像组合检查了肝细胞癌(HCC)恶性程度分级系统的临床实用性。
我们研究了 121 例经组织学证实的 HCC 病例(分化良好,45 例;中度分化,70 例;低分化,6 例)。库普弗成像的结果分为(1)等回声模式或(2)低回声模式。产生的 MIP 模式分为以下类别之一:精细,肿瘤血管未清晰显示,仅显示精细血管;血管,肿瘤血管清晰显示;不规则,肿瘤血管厚且不规则。根据库普弗成像和 MIP 模式的综合评估,将样本分为 4 个等级:等级 1(等精细/血管)、等级 2(低精细)、等级 3(低血管)和等级 4(低不规则)。
中低分化 HCC 的分布如下:等级 1,4%(24 例中的 1 例);等级 2,52%(29 例中的 15 例);等级 3,85%(52 例中的 44 例);等级 4,100%(16 例中的 16 例)。该分级系统还预测了 72 例切除 HCC 的门静脉侵犯:等级 1,0%(4 例中的 0 例);等级 2,13%(8 例中的 1 例);等级 3,23%(48 例中的 11 例);等级 4,67%(12 例中的 8 例)。
这种新的恶性分级系统可用于估计 HCC 的组织学分化和门静脉侵犯。