位置:成果数据库 > 期刊 > 期刊详情页
大鼠原位膀胱癌模型的建立与CT诊断价值
  • ISSN号:1005-4847
  • 期刊名称:《中国实验动物学报》
  • 分类:R737.14[医药卫生—肿瘤;医药卫生—临床医学]
  • 作者机构:[1]上海交通大学医学院附属瑞金医院,上海200025
  • 相关基金:国家自然科学基金资助项目(编号:30571862)
中文摘要:

目的研究N-甲基亚硝基脲诱导大鼠原位膀胱癌模型的构建过程以及计算机断层扫描对大鼠原位膀胱癌的诊断价值。方法50只SD大鼠随机分为两组,对照组A组15只,实验组B组35只。B组大鼠经尿道膀胱内灌注MNU每两周一次,每次2 mg,共4次。A组大鼠用生理盐水以同样的方法灌注。于第14周末对两组大鼠进行膀胱CT扫描诊断,并且处死后取膀胱组织行病理学观察。结果B组28只大鼠CT扫描膀胱均见明显异常,表现为局部肿块突起或膀胱壁不规则增厚、密度不均,病理诊断均为膀胱癌。A组13只大鼠经CT扫描未发现膀胱肿瘤,病理检查未见肿瘤组织。结论MNU可以诱导大鼠原位膀胱癌模型的建立。CT扫描可作为大鼠原位膀胱癌诊断的可靠方法,并能为肿瘤的化疗或放疗等后续实验提供更好的大鼠模型。

英文摘要:

Objective To establish an orthotopic rat model of bladder cancer induced by N-methyl-nitrosourea(MNU) and to evaluate the diagnostic value of CT(computed tomography) scanning in this experimental model.Methods 50 SD rats were randomly divided into the control group(group A) with 15 rats and experimental group(group B) with 35 rats.Each rat of group B was treated with 2 mg MNU per dose every other week,totally 4 doses,by per urethra administration.Meanwhile,each rat of group A was treated with normal saline.Then,at the 14^th week,all the rats were evaluated by CT scanning and pathological examination.Results Abnormal changes were detected in each of the 28 rats in group B by CT scanning,and manifested as local mass,thickening bladder wall accompanied with heterogeneous density.Bladder cancer was diagnosed by pathology.However,no bladder tumor was detected by CT scanning and pathological examination in group A.Conclusion A rat model of orthotopic bladder cancer can be established by per urethra administration of MNU.CT scanning is a reliable diagnostic technique concerning this model.Furthermore,this technique can render us a more suitable rat model for further experimental studies on chemotherapy and radiotherapy of bladder cancer.

同期刊论文项目
同项目期刊论文
期刊信息
  • 《中国实验动物学报》
  • 北大核心期刊(2014版)
  • 主管单位:中国科协技术协会
  • 主办单位:中国实验动物学会 中国医学科学院医学实验动物研究所
  • 主编:秦川
  • 地址:北京市朝阳区潘家园南里5号
  • 邮编:100021
  • 邮箱:b6771337@126.com
  • 电话:010-67779337
  • 国际标准刊号:ISSN:1005-4847
  • 国内统一刊号:ISSN:11-2986/Q
  • 邮发代号:2-748
  • 获奖情况:
  • 中国科技论文统计源期刊
  • 国内外数据库收录:
  • 美国化学文摘(网络版),中国中国科技核心期刊,中国北大核心期刊(2014版)
  • 被引量:6376