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多排螺旋 CT 测量可切除食管鳞癌肿瘤大小对预测区域淋巴结转移和 N 分期的价值。

Tumour size of resectable oesophageal squamous cell carcinoma measured with multidetector computed tomography for predicting regional lymph node metastasis and N stage.

机构信息

Sichuan Key Laboratory of Medical Imaging, Department of Radiology, Affiliated Hospital of North Sichuan Medical College, 63 Wenhua Road, Shunqing District, Nanchong, 637000, Sichuan, China.

出版信息

Eur Radiol. 2012 Nov;22(11):2487-93. doi: 10.1007/s00330-012-2512-4. Epub 2012 Jun 1.

Abstract

OBJECTIVES

To determine whether and how tumour size of resectable oesophageal squamous cell carcinoma (ESCC) measured with multidetector CT could predict regional lymph node metastasis (LNM) and N stage.

METHODS

Two hundred five patients with ESCC underwent radical oesophagectomy with three-field lymphadenectomy less than 3 weeks after contrast-enhanced CT. Tumour size of the ESCC (tumour length, maximal thickness and gross tumour volume, GTV) was measured on CT. Statistical analyses were performed to identify whether tumour size could predict regional LNM and N stage, and to determine how to use the size of ESCC to predict N stage.

RESULTS

Univariate analysis showed that tumour size could predict regional LNM (all P < 0.05). Logistic regression analysis revealed that GTV could independently predict regional LNM (P = 0.021, odds ratio = 1.813). Mann-Whitney tests showed that tumour size could distinguish grouped N stages (all P < 0.05). GTV might be a differentiating indicator between N0 and N1-3 stages (cutoff, 14.4 cm(3)), between N0-1 and N2-3 (cutoff, 15.9 cm(3)), and between N0-2 and N3 (cutoff, 26.1 cm(3)), with sensitivity of 76%, 63% or 75%, and specificity of 75%, 61% and 81%, respectively.

CONCLUSIONS

The GTV of ESCC measured with CT could be an indicator for predicting regional LNM and grouped N stages.

KEY POINTS

• Multidetector computed tomography (MDCT) allows accurate assessment of oesophageal tumour size • For resectable squamous cell tumours, size helped predict regional lymph node involvement • Gross tumour volume may predict the N stage of oesophageal squamous cell carcinoma.

摘要

目的

确定可切除食管鳞癌(ESCC)的多排 CT 测量肿瘤大小是否以及如何预测区域淋巴结转移(LNM)和 N 分期。

方法

205 例 ESCC 患者在增强 CT 后 3 周内行根治性食管切除术和三野淋巴结清扫术。CT 上测量 ESCC 的肿瘤大小(肿瘤长度、最大厚度和大体肿瘤体积,GTV)。进行统计学分析以确定肿瘤大小是否可以预测区域 LNM 和 N 分期,并确定如何使用 ESCC 的大小来预测 N 分期。

结果

单因素分析显示肿瘤大小可以预测区域 LNM(均 P<0.05)。Logistic 回归分析显示 GTV 可独立预测区域 LNM(P=0.021,优势比=1.813)。Mann-Whitney 检验显示肿瘤大小可区分 N 分期组(均 P<0.05)。GTV 可能是 N0 和 N1-3 期(截断值,14.4cm3)、N0-1 和 N2-3 期(截断值,15.9cm3)以及 N0-2 和 N3 期(截断值,26.1cm3)之间的区分指标,其灵敏度分别为 76%、63%或 75%,特异性分别为 75%、61%和 81%。

结论

CT 测量的 ESCC 的 GTV 可作为预测区域 LNM 和分组 N 分期的指标。

关键点

• 多排 CT 可准确评估食管肿瘤大小• 对于可切除的鳞癌,肿瘤大小有助于预测区域淋巴结受累情况• 大体肿瘤体积可能预测食管鳞癌的 N 分期。

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