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  本文關(guān)鍵詞：原發(fā)性肝癌320排容積CT全腫瘤灌注參數(shù)值與微血管密度及其與病理分級的相關(guān)性研究　出處：《臨床放射學(xué)雜志》2017年04期 　論文類型：期刊論文

  更多相關(guān)文章： 肝癌 血管生成 體層攝影術(shù) X線計算機 灌注

【摘要】：目的探討原發(fā)性肝癌320排容積CT全腫瘤灌注參數(shù)值與微血管密度(MVD)值的關(guān)系,并分析不同分化程度肝癌與MVD值的相關(guān)性。方法前瞻性搜集47例行320排容積CT灌注成像的原發(fā)性肝癌患者,采用全腫瘤測量法計算瘤體的肝動脈灌注量(HAP)、門靜脈灌注量(PVP)及肝動脈灌注指數(shù)(HAPI)。根據(jù)EdmondsonSteiner分級法行病理分級。不同分化程度原發(fā)性肝癌各灌注參數(shù)值相比采用單因素方差分析或非參數(shù)檢驗分析。采用Spearman等級相關(guān)的分析方法對不同分化程度原發(fā)性肝癌的各灌注參數(shù)值、腫瘤MVD以及病理分級間的相關(guān)性進行分析。結(jié)果 47例患者中,高分化肝癌13例,中分化肝癌24例,低分化肝癌10例。MVD值分別為49.59個/mm~2、64.26個/mm~2、85.27個/mm~2。不同分化程度的原發(fā)性肝癌全腫瘤灌注參數(shù)值存在差異,高分化肝癌的HAP和HAPI最低,PVP最高,低分化肝癌的HAP和HAPI最高,PVP最低,中分化肝癌介于兩者之間。不同分化程度原發(fā)性肝癌與腫瘤的MVD值呈正相關(guān)關(guān)系(r=0.815,P0.05)。低MVD計數(shù)組原發(fā)性肝癌的HAP、HAPI均低于高MVD計數(shù)組,差異有統(tǒng)計學(xué)意義(P=0.000)。低MVD計數(shù)組原發(fā)性肝癌的PVP大于高MVD計數(shù)組,差異有統(tǒng)計學(xué)意義(P=0.000)。結(jié)論全腫瘤灌注參數(shù)值能夠定量反映不同分化程度原發(fā)性肝癌的血流動力學(xué)特點及腫瘤新生血管狀況,可作為活體無創(chuàng)性評估腫瘤惡性程度及腫瘤血管生成的測量方法。原發(fā)性肝癌的分化程度與腫瘤MVD間存在一定的相關(guān)性,提示MVD與原發(fā)性肝癌的惡性程度有關(guān),可在全腫瘤灌注參數(shù)值的變化中得到反映。
[Abstract]:Objective to investigate the primary hepatocellular carcinoma 320 slice volume CT tumor perfusion parameters and microvessel density (MVD) value of the relationship, and analyze the correlation of different degree of differentiation of HCC and MVD. Methods a prospective collection of 47 patients underwent 320 slice volume CT perfusion imaging in patients with primary liver cancer, hepatic artery perfusion of the tumor the whole tumor measurement method (HAP), portal venous perfusion (PVP) and hepatic perfusion index (HAPI). According to EdmondsonSteiner classification method for pathological grading. Different degree of differentiation of primary hepatocellular carcinoma perfusion values compared by one-way ANOVA or nonparametric test analysis. The perfusion parameters of different degree of differentiation primary liver cancer by using the method of Spearman correlation analysis of the value of MVD and the correlation between tumor pathological grade were analyzed. Results of the 47 patients, 13 cases of liver cancer in high differentiation, differentiation of hepatocellular carcinoma in 24 cases, 10 cases of poorly differentiated hepatocellular carcinoma.M The VD values were different degree of differentiation of 49.59 /mm~2,64.26 /mm~2,85.27 /mm~2. hepatocellular carcinoma tumor perfusion parameters between high differentiation of hepatocellular carcinoma HAP and HAPI is the lowest, the highest PVP, low differentiation of hepatocellular carcinoma HAP and HAPI is the highest, the lowest PVP, between the differentiation of hepatocellular carcinoma between the two different differentiation of the primary. Hepatocellular carcinoma and tumor MVD value was positively correlated (r=0.815, P0.05). The low MVD counts in patients with primary liver cancer HAP, HAPI were lower than that of MVD group, the difference was statistically significant (P=0.000). The low MVD counts in patients with primary liver cancer PVP was higher than MVD group, the difference was statistically significant (P=0.000). Conclusion the tumor perfusion parameters can reflect the different degree of differentiation of primary hepatocellular carcinoma and tumor blood flow dynamics characteristics of neovascularization, measurement method can be used for in vivo noninvasive assessment of tumor malignancy and tumor angiogenesis. There is a certain correlation between the degree of differentiation of primary hepatocellular carcinoma and tumor MVD, suggesting that MVD is related to the malignancy of primary liver cancer, and can be reflected in the change of tumor perfusion parameter values.

【作者單位】： 新鄉(xiāng)醫(yī)學(xué)院第一附屬醫(yī)院放射科;鄭州大學(xué)第一附屬醫(yī)院放射科;
【分類號】：R735.7;R730.44
【正文快照】： 原發(fā)性肝癌作為一種典型的血管富集的實體腫瘤,其中腫瘤內(nèi)新生的血管在腫瘤的生長和擴散中起重要作用[1,2]。有研究證實,腫瘤血管生成狀態(tài)對腫瘤病理分級、療效評估及預(yù)后判斷有重要價值[3~5]。迄今,微血管密度(microvessel density,MVD)已成為評估腫瘤血管生成的常用檢查指標

【相似文獻】

相關(guān)期刊論文 前10條

1 王美書;張傳華;;原發(fā)性肝癌行肝動脈化療栓塞術(shù)后的并發(fā)癥觀察及護理[J];中國醫(yī)藥導(dǎo)報;2011年15期

2 張尚林;余業(yè)洗;;原發(fā)性肝癌自發(fā)破裂一例[J];中級醫(yī)刊;1958年01期

3 佃雪，

本文編號：1378491