王攀鸽,谭红娜,王博,肖慧娟,高剑波.MR淋巴造影显影兔VX2乳腺癌模型内乳前哨淋巴结[J].中国医学影像技术,2018,34(5):641~645
MR淋巴造影显影兔VX2乳腺癌模型内乳前哨淋巴结
MR lymphography in detecting internal mammary sentinel lymph node for rabbit models of VX2 breast cancer
投稿时间:2017-05-12  修订日期:2018-03-20
DOI:10.13929/j.1003-3289.201705076
中文关键词:  乳腺肿瘤  内乳淋巴结  前哨淋巴结  磁共振成像  淋巴造影
英文关键词:Breast neoplasms  Internal mammary lymph node  Sentinel lymph node  Magnetic resonance imaging  Lymphography
基金项目:国家自然科学基金青年科学基金项目(81401378)。
作者单位E-mail
王攀鸽 郑州大学第一附属医院放射科, 河南 郑州 450052  
谭红娜 郑州大学第一附属医院放射科, 河南 郑州 450052  
王博 郑州大学第一附属医院放射科, 河南 郑州 450052  
肖慧娟 郑州大学第一附属医院放射科, 河南 郑州 450052  
高剑波 郑州大学第一附属医院放射科, 河南 郑州 450052 cjr.gaojianbo@vip.163.com 
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中文摘要:
      目的 探讨MR淋巴造影(MR-LG)显影兔VX2乳腺癌内乳前哨淋巴结(SLN)的可行性。方法 将75只新西兰大白兔分别建立兔VX2乳腺癌(肿瘤组)及炎性(炎症组)实验动物模型,并对其行MR-LG检查,检查后进行淋巴结清扫术。记录内乳SLN及淋巴管的显示情况,分析影响其显像的因素。结果 实验兔建模成功率为97.33%(73/75);MR-LG对内乳SLN及淋巴管的显示率分别为15.94%(11/69)和75.36%(52/69),其在肿瘤组与炎症组差异均无统计学意义(P均>0.05)。肿瘤组内乳SLN显示与未显示实验兔间体质量,肿瘤生长时间,肿瘤长径,腋窝SLN数目、大小及阳性数目,内乳淋巴管显影情况差异均无统计学意义(P均>0.05);内乳淋巴管显示与未显示实验兔间肿瘤大小及腋窝SLN数目差异有统计学意义(P均<0.05)。MR-LG检出内乳SLN的准确率、敏感度、特异度、假阴性率及假阳性率分别为76.81%(53/69)、39.13%(9/23)、95.65%(44/46)、60.86%(14/23)和4.35%(2/46)。结论 MR-LG可有效显像兔VX2乳腺癌模型内乳SLN及淋巴管。
英文摘要:
      Objective To explore the feasibility of MR lymphography (MR-LG) in detecting internal mammary sentinel lymph node (SLN) for rabbit models of VX2 breast cancer. Methods Totally 75 New Zealand white rabbits were randomly divided into 2 groups to establish VX2 breast cancer (tumor group) and inflammation models (inflammation group), respectively. MR-LG examinations and lymph node dissection were performed in all the rabbits. The results of internal mammary SLN and lymphatic vessels mapping were recorded, and the influence factors were analyzed. Results The success rate of model establishment was 97.33% (73/75). The detection rate of internal mammary SLN and lymphatic vessels was 15.94% (11/69) and 75.36% (52/69), respectively, there was no statistical difference between the two groups (both P>0.05). The rabbit' s weight, time of tumor growth, tumor size, number, size and status of axillary SLN, as well as presence or not of internal mammary lymph vessels detection showed no statistical difference between detection and non-detection of internal mammary SLN (all P>0.05), while the tumor size and axillary lymph node number showed statistically significant differences between detection and not detection of internal lymphatic vessels (both P<0.05). The accuracy, sensitivity, specificity, false negative and false positive rate of internal mammary SLN detection with MR-LG was 76.81% (53/69), 39.13%(9/23), 95.65%(44/46), 60.86%(14/23) and 4.35%(2/46), respectively. Conclusion MR-LG can effectively detect internal mammary SLN and lymphatic vessels for rabbit models of VX2 breast cancer.
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