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64排螺旋CT在直肠癌术前分期的诊断价值
引用本文:汪晓东,吴俊华,宋欢,高强,吕东昊,李立.64排螺旋CT在直肠癌术前分期的诊断价值[J].陕西肿瘤医学,2009,17(7):1284-1287.
作者姓名:汪晓东  吴俊华  宋欢  高强  吕东昊  李立
作者单位:[1]四川大学华西医院肛肠外科,成都610041 [2]四川大学华西医院放射科,成都610041
摘    要:目的:评价64排螺旋CT进行直肠癌术前分期的准确性及诊断价值。方法:纳入51例经手术病理检查证实为直肠癌,并在术前行全腹CT扫描的患者,分析CT影像在确定肿瘤侵犯范围、淋巴结转移及远处转移方面的特点,并与病理结果进行对比。结果:64排螺旋CT对直肠癌T分期、N分期、M分期的准确度分别为84.3%(43/51),84.3%(43/51),98.0%(50/51),对直肠癌TNM分期总准确度为74.5%(38/51)。结论:利用64排螺旋CT腹部平扫技术,能够较为准确地进行直肠癌术前分期,有助于临床选择恰当的手术方案和制定有效的综合治疗措施。

关 键 词:直肠癌  体层摄影术/螺旋计算机  肿瘤分期

Evaluation of 64 -slice CT in preoperative staging of rectal cancer
WANG Xiao - dong,WU Jun - hua,SONG Huan,GAO Qiang,LU Dong - hao,LI Li.Evaluation of 64 -slice CT in preoperative staging of rectal cancer[J].Shaanxi Oncology Medicine,2009,17(7):1284-1287.
Authors:WANG Xiao - dong  WU Jun - hua  SONG Huan  GAO Qiang  LU Dong - hao  LI Li
Institution:1 Department of Anal - colorectal Surgery, West China Hospital, Sichuan University, Chengdu 610041, China ; 2 Department of Radiology, West China Hospital ,Sichuan University, Chengdu 610041, China.)
Abstract:Objective :To evaluate the accuracy and diagnostic value of 64 - slice CT in the preoperative staging of rectal cancer. Methods : Fifty - one patients with histological proven rectal cancer and undertaken preoperative 64 - slice CT examination were enrolled. The characteristics of image, involving local invasion, lymph node metastasis and visceral metastasis, were analyzed and compared with the findings of pathological examination after surgery. Results: The accuracies of 64 - slice CT at the T - stage, N - stage and M - stage of rectal cancer were 84.3% (43/51), 84.3% (45/51) ,98.0% (50/51) respectively;the overall staging accuracy of 64 -slice CT for all 46 patients was 74.5% (38/51). Conclusion:64 -slice CT is a precise and reliable tool for preoperative staging in rectal cancer, which can provide useful information for clinicians in preoperative assessment and selecting suitable and effective operative procedure for patients.
Keywords:rectal neoplasms  tomography  spiral computed  neoplasm staging
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