结肠癌多层螺旋CT表现与术后病理的相关性分析 | |
赵雪梅 ; 马民 ; 张宗明 ; 朱建平 ; 白燕 ; Xue-Mei Zhao ; Min Ma ; Yan Bai ; Zong-Ming Zhang ; Jian-Ping Zhu | |
2010-06-09 ; 2010-06-09 | |
关键词 | 结肠癌 低张结肠充气多层螺旋CT 多平面重组 病理学 相关性 Colorectal cancer Multi-slice spiral computed tomography Multi-planar reformation Pathology Correlation R735.3 |
其他题名 | Correlative analysis of colorectal cancer stage between multi-slice spiral computed tomography and operative pathology |
中文摘要 | 目的:探讨低张结肠充气多层螺旋CT(MSCT)三期增强扫描结肠癌术前分期与术后病理的相关性.方法:对手术证实的结肠癌患者32例行MSCT三期增强扫描,横轴位结合多平面重组(MPR)图像进行TNM分期,与术后病理对照.结果:MSCT对结肠癌术前T分期、术前N分期、远处转移及TNM分期的诊断准确率分别为90.63%(29/32),84.38%(27/32),100%(4/4),以及90.63%(29/32),均与手术病理一致(kappa:0.807,0.673,1,0.803;均P<0.01).结论:结肠癌MSCT表现与手术病理之间具有较强一致性,可作为治疗前评估分期首选检查方法.; AIM:To evaluate correlations for the staging of colorectal cancer between enhanced multi- slice spiral computed tomography(MSCT) pneumocolon and surgical pathology. METHODS:Thirty-two patients diagnosed with colorectal cancer from surgery were examined by a three-phase enhanced scan with MSCT. Cancer was staged by Tumor,Node,Metastases (TNM)by axial images and multi-planar ref- ormation(MPR)images.MSCT findings were compared with post-operative pathologic staging. RESULTS:The diagnostic accuracy of T-stage and N-stage before operation,metastasizing and the TNM-stage of MSCT in colorectal cancer was 90.63%(29/32),84.38%(27/32),100%(4/4)and 90.63%(29/32),respectively.All correlated with surgical appearances and pathological findings (Kappa:0.807,0.673,1.0 and 0.803,respectively, both P<0.01). CONCLUSION:A very good correlation ex- ist between manifestations on enhanced MSCT with MPR and operative pathology.MSCT may become the first choice diagnostic modality for pre-treatment staging evaluations of colorectal carcinomas. |
语种 | 中文 ; 中文 |
内容类型 | 期刊论文 |
源URL | [http://hdl.handle.net/123456789/59172] |
专题 | 清华大学 |
推荐引用方式 GB/T 7714 | 赵雪梅,马民,张宗明,等. 结肠癌多层螺旋CT表现与术后病理的相关性分析[J],2010, 2010. |
APA | 赵雪梅.,马民.,张宗明.,朱建平.,白燕.,...&Jian-Ping Zhu.(2010).结肠癌多层螺旋CT表现与术后病理的相关性分析.. |
MLA | 赵雪梅,et al."结肠癌多层螺旋CT表现与术后病理的相关性分析".(2010). |
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