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作 者:周国兴[1] 郝楠馨[1] 张蕾[1] 诸静其[1] 潘海虹[1] 王军臣[2] 卢爱国[3]
机构地区:[1]同济大学附属东方医院放射科,上海市即墨路150号上海200120 [2]同济大学附属东方医院病理科,上海市即墨路150号上海200120 [3]同济大学附属东方医院普外科,上海市即墨路150号上海200120
出 处:《中国医学计算机成像杂志》2010年第1期25-30,共6页Chinese Computed Medical Imaging
摘 要:目的:分析直肠周围间隙淋巴结转移的多层CT(MSCT)表现,探讨CT诊断直肠癌淋巴结转移(N分期)的价值。方法:术前行盆腔MSCT检查的154例直肠癌病例,均行全直肠系膜切除术,对直肠周围间隙淋巴结进行病理检查,采用双盲法,记录每枚淋巴结的CT表现,包括淋巴结短轴直径、边缘、密度、分布方式。结果:以手术病理为标准,直肠周围间隙淋巴结CT检出率为86.3%(471/546),病理共检出直肠周围间隙淋巴结546枚,CT检出481枚,其中471枚(阳性172枚,阴性299枚)淋巴结与病理相匹配。CT诊断直肠周围间隙淋巴结转移的各种判断标准(淋巴结大小、边缘、密度、分布方式)的敏感性分别为83.1%、72.2%、70.1%、73.5%,特异性分别为80.5%、85.1%、82.4%、75.1%。CT显示的淋巴结大小、边缘、密度、分布方式的差异与阳性率有显著相关性,P<0.005。结论:直肠周围间隙淋巴结有良性和恶性淋巴结,综合分析淋巴结大小、形态、密度及分布对诊断直肠周围间隙淋巴结转移有很大帮助。Purpose: To analyze the appearances of mesorectun in MSCT images, and to investigate the role of MSCT in diagnosis of lymph node metastases( N staging) in rectal carcinoma.Methods: One hundred and fifty - four patients who had undergone total mesoreetal excision(TME) for rectal carcinoma were enrolled in this study after preoperative CT examination. The positive - nodes were considered on the basis of pathological examination . The characteristics of each detectable node(LN) were recorded by two radiologists, blinded for the histological results for the following aspects: Short- axis diameter, margin, density, location and distribution of LN within the mesorectum. Results: Of all, 86.3% (471/546) mesorectal lymph nodes were showed by CT, 471 nodes (299 benign, 172 malignant)could be matched exactly with nodes found on pathologic findings. The diameters, margin , density, location and distribution of LN within the mesorectum showed significant correlation with the node - positivity, P 〈 0. 005 . The sensitivity of each diagnostic criterion was: 83.1% for diameter, 72.2% for margin, 70.1% for density and 73.5% for distribution. The specificity was: 80.5% for diameter, 85.1% for margin, 82.4% for density, 75.1% for distribution. Conclusion: It was probably helpful to improve the diagnosis of mesorectal lymph node metastases by considering the size, margin, density, location and distribution of the lymph nodes.
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