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应用 ADC 差值对宫颈癌分级及其与微血管密度和血管内皮生长因子的相关性研究。

Grading of uterine cervical cancer by using the ADC difference value and its correlation with microvascular density and vascular endothelial growth factor.

机构信息

Department of Radiology, Tianjin Medical University Cancer Institute and Hospital, Key Laboratory of Cancer Prevention and Therapy, Huan-Hu-Xi Road, Ti-Yuan-Bei, He Xi District, Tianjin 300060, People's Republic of China.

出版信息

Eur Radiol. 2013 Mar;23(3):757-65. doi: 10.1007/s00330-012-2657-1. Epub 2012 Sep 7.

Abstract

OBJECTIVE

To investigate the application value of the ADC(difference) value in evaluating the pathological grade of uterine cervical cancer and to analyse the correlations among microvascular density (MVD), vascular endothelial growth factor (VEGF) expression and maximum ADC(difference) value.

METHODS

Fifty-six patients with uterine cervical cancer were included in this prospective study. All underwent conventional MRI and DWI. MVD and VEGF were evaluated by immunohistochemical staining with anti-CD34 and anti-VEGF, respectively.

RESULTS

Maximum ADC(difference) value and MVD count showed statistical differences among different pathological grades (P < 0.001, P < 0.001). There was a significant positive linear correlation between the maximum ADC(difference) value and pathological tumour grade (P < 0.001), and also between MVD count and pathological tumour grade (P < 0.001). No significant differences were found between the level of VEGF expression and pathological tumour grade (P = 0.222). The maximum ADC(difference) value correlated positively with both the MVD count and the level of VEGF expression (P < 0.001, P < 0.001).

CONCLUSIONS

Quantitative analysis of maximum ADC(difference) value of uterine cervical cancer may represent the grade of tumour differentiation and provide valuable information on tumour microcirculation and perfusion, thus allowing a promising new method of non-invasively assessing the pathological grade, which could serve as a substitution for assessing tumour angiogenesis.

摘要

目的

探讨 ADC(差分值)在评估宫颈癌病理分级中的应用价值,并分析微血管密度(MVD)、血管内皮生长因子(VEGF)表达与最大 ADC(差分值)之间的相关性。

方法

前瞻性研究 56 例宫颈癌患者,均行常规 MRI 和 DWI 检查,免疫组化染色法检测 CD34 及 VEGF 评估 MVD 及 VEGF 表达。

结果

不同病理分级间最大 ADC(差分值)、MVD 计数差异均有统计学意义(P<0.001,P<0.001),最大 ADC(差分值)与肿瘤病理分级呈显著正相关(P<0.001),MVD 计数与肿瘤病理分级呈显著正相关(P<0.001),VEGF 表达水平与肿瘤病理分级无显著相关性(P=0.222)。最大 ADC(差分值)与 MVD 计数、VEGF 表达水平均呈显著正相关(P<0.001,P<0.001)。

结论

宫颈癌最大 ADC(差分值)定量分析可能反映肿瘤分化程度,提供肿瘤微循环和灌注的有价值信息,有望成为一种新的、无创性评估病理分级的方法,可替代评估肿瘤血管生成。

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