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山东大学学报(医学版) ›› 2014, Vol. 52 ›› Issue (12): 89-93.doi: 10.6040/j.issn.1671-7554.0.2014.594

• 临床医学 • 上一篇    下一篇

磁共振弥散加权成像评估肝细胞癌组织学分级的价值

郭卫华, 赵素红, 庞国栋, 邵广瑞   

  1. 山东大学第二医院放射科, 山东 济南 250033
  • 收稿日期:2014-09-10 修回日期:2014-10-28 发布日期:2014-12-10
  • 通讯作者: 邵广瑞。E-mail:sdshgr63@sina.com E-mail:sdshgr63@sina.com
  • 基金资助:
    山东省自然科学基金(ZR2011HL032)

Application value of diffusion-weighted MR imaging in estimating the histological grade of hepatocellular carcinoma

GUO Weihua, ZHAO Suhong, PANG Guodong, SHAO Guangrui   

  1. Department of Radiology, The Second Hospital of Shandong University, Jinan 250033, Shandong, China
  • Received:2014-09-10 Revised:2014-10-28 Published:2014-12-10

摘要: 目的 探讨弥散加权成像(DWI)评价肝细胞癌(HCC)组织学分级的价值。方法 经手术切除且病理证实HCC患者27例,术前均行上腹部常规磁共振成像(MRI)及DWI检查,分析病灶的DWI信号强度、表观弥散系数(ADC)值与HCC组织学分级之间的关系。结果 本组27例27个HCC病灶中,组织病理学诊断高分化HCC病灶6个、中分化HCC病灶10个、低分化HCC病灶11个。在DWI中,1例(3.7%)为等信号,9例(33.3%)为略高信号,17例(63%)为高信号。不同分化HCC信号强度之间差异无统计学意义(P=0.758)。低分化HCC的ADC值[(1.16±0.16)×10-3mm2/s]明显小于高分化[(1.43±0.09)×10-3mm2/s](P=0.004)和中分化 [(1.34±0.19)×10-3mm2/s](P=0.023)。HCC的ADC值与组织学分级呈中等负相关(r=-0.566,P=0.002)。结论 应用ADC值能区分低、中、高分化HCC,因而ADC值有助于术前预测HCC的组织学分级。另外,DWI信号强度对HCC的组织学分级价值不大。

关键词: 表观弥散系数, 组织学分级, 弥散加权成像, 肝细胞癌, 磁共振成像

Abstract: Objective To evaluate the significance of magnetic resonance diffusion-weighted imaging (DWI) in predicting the histological grading of hepatocellular carcinoma (HCC). Methods Data of 27 patients with 27 surgically removed HCC who underwent preoperative conventional MRI and DWI examinations were retrospectively reviewed. The relationship between visual signal intensity and apparent diffusion coefficient (ADC) with histological differentiation of HCC was analyzed. Results Histopathologically, the tumors were classified into well-differentiated (n=6), moderately-differentiated (n=10) and poorly-differentiated (n=11). On DWI, 1 of the 27 HCCs appeared isointense, 9 slightly hyperintense, and the remaining 17 tumors hyperintense to the surrounding liver. Statistical analysis revealed no significant difference between visual signal intensity and histopathologic grade (P=0.758). The mean ADC value of the poorly-differentiated HCCs[(1.16±0.16)×10-3mm2/s] was significantly lower than that of the well-differentiated HCCs[(1.43±0.09)×10-3mm2/s] (P=0.004) and moderately-differentiated HCCs [(1.34±0.19)×10-3mm2/s] (P=0.023). There was a significant correlation between the differentiation and the ADC value of the HCCs (r=-0.566, P=0.002). Conclusion DWI with ADC measurement of HCC may be a valuable imaging tool to noninvasively predict the differentiation of HCC. However, the histopathological grades of HCC are not correlated with the visualsignal intensity.

Key words: Magnetic resonance imaging, Diffusion-weighted imaging, Hepatocellular carcinoma, Histological grading, Apparent diffusion coefficient

中图分类号: 

  • R445.2
[1] Oishi K, Itamoto T, Amano H, et al. Clinicopathologic features of poorly differentiated hepatocellular carcinoma[J]. J Surg Oncol, 2007, 95(4):311-316.
[2] Lim K S, Tan C H. Diffusion-weighted MRI of adult male pelvic cancers[J]. Clin Radiol, 2012, 67(9):899-908.
[3] Taouli B, Koh D M. Diffusion-weighted MR imaging of the liver[J]. Radiology, 2010, 254(1):47-66.
[4] Lim K S. Diffusion-weighted MRI of HCC in cirrhosis[J]. Clin Radiol, 2014, 69(1):1-10.
[5] 刘静静, 王劲, 颜荣华, 等. 常规磁共振成像及磁共振弥散加权成像在不同分化小HCC中的临床应用[J]. 中华肝胆外科杂志, 2012, 18(18):573-577.
[6] Colagrande S, Carbone S F, Carusi L M, et al.Magnetic resonance diffusion-weighted imaging: extraneurological applications[J]. Radiol Med, 2006, 111(3):392-419.
[7] Chen Y C, Li C W, Kuo Y T, et al. Early response of hepatocellular carcinoma to transcatheter arterial chemoembolization: choline levels and MR diffusion constants-initial experience[J]. Radiology, 2006, 239(2):448-456.
[8] Nasu K, Kuroki Y, Tsukamoto T, et al. Diffusion-weighted imaging of surgically resected hepatocellular carcinoma: imaging characteristics and relationship among signal intensity, apparent diffusion coefficient, and histopathological grade [J]. Am J Roentgenol, 2009, 193(2):438-444.
[9] Piana G, Trinquart L, Meskine N, et al. New MR imaging criteria with a diffusion-weighted sequence for the diagnosis of hepatocellular carcinoma in chronic liver diseases[J]. J Hepatol, 2011, 55(1):126-132.
[10] Nakanishi M, Chuma M, Hige S, et al. Relationship between diffusion-weighted magnetic resonance imaging and histological tumor grading of hepatocellular carcinoma[J]. Ann Surg Oncol, 2012, 19(4):1302-1309.
[11] Nishie A, Tajima T, Asayama Y, et al. Diagnostic performance of apparent diffusion coefficient for predicting histological grade of hepatocellular carcinoma[J]. Eur J Radiol, 2011, 80(2):29-33.
[12] Guo A C, Cummings T J, Dash R C, et al. Lymphomas and high-grade astrocytomas:comparison of water diffusibility and histologic characteristics[J]. Radiology, 2002, 224(1):177-183.
[13] Higano S, Yun X, Kumabe T, et al. Malignant astrocytic tumors: clinical importance of apparent diffusion coefficient in prediction of grade and prognosis [J]. Radiology, 2006,241(3):839-846.
[14] Taouli B, Vilgrain V, Dumont E, et al. Evaluation of liver diffusion isotropy and characterization of focal hepatic lesions with two single-shot echo-planar MR imaging sequences[J]. Radiology, 2003, 226(1):71-78.
[15] 汪俊萍, 白人驹, 孙浩然, 等. 兔VX2肝癌模型的MR扩散加权成像与肿瘤恶性程度的相关性[J]. 中华医学杂志, 2009, 89(31):2210-2213.
[16] Kamel I R, Bluemke D A, Ramsey D, et al. Role of diffusion-weighted imaging in estimating tumor necrosis after chemoembolization of hepatocellular carcinoma [J].Am J Roentgenol, 2003, 181(3):708-710.
[17] Asayama Y, Yoshimitsu K, Nishihara Y, et al. Arterial blood supply of hepatocellular carcinoma and histologic grading: radiologic-pathologic correlation [J]. AJR, 2008, 190(1):28-34.
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