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基于直肠内超声检查的模型可预测中低位直肠癌的侧方淋巴结转移。

A model based on endorectal ultrasonography predicts lateral lymph node metastasis in low and middle rectal cancer.

作者信息

Yan Li, Weifeng Zhou, Qin Wang, Jinping Wang

机构信息

Department of Ultrasound, The first affiliated hospital of Anhui University of Traditional Chinese Medicine, Anhui, China.

出版信息

J Clin Ultrasound. 2022 Jun;50(5):705-712. doi: 10.1002/jcu.23204. Epub 2022 Mar 24.

Abstract

PURPOSE

To investigate the risk factors for lymph node (LN) metastasis in low and middle rectal tumors, construct a predictive model and test the model's diagnostic efficacy.

METHODS

The clinical and pathological data of 172 patients with rectal cancer confirmed by surgery were retrospectively evaluated, among whom 61 patients were finally included in this study. Patients were divided into positive groups and negative groups based on LN metastasis, and risk factors that might affect LN metastasis were analyzed. Finally, a risk predictive model was constructed based on the weights of each risk factor.

RESULTS

Compared with pathology, the efficacy of diagnosing LN metastasis only according to conventional endorectal ultrasonography (ERUS) features of LN was not high, with sensitivity 67%, specificity 86%, positive predictive value 76%, negative predictive value 80%, and accuracy 79%. Univariate analysis showed that circumferential angle of the tumor, ultrasonic T- stage (UT stage), conventional ultrasound features diagnosis of LN metastasis, strain ratio (SR) of tumor were risk factors for LN metastasis, while vascular resistance index of rectal tumor was protective factor. Multivariate analysis showed that UT stage (OR = 7.188, p = 0.049), conventional ultrasound features diagnosis of LN metastasis (OR = 8.010, p = 0.025) and SR (OR = 5.022, p = 0.031) were independent risk factors for LN metastasis. These risk factors were included in logistic regression analysis and the model was established, Y = -7.3 + 1.9 X10 + 2.1 X11 + 1.6 X13 (Y = Logit[P], P: LN metastasis rate, X10: UT stage, X11: conventional ultrasound features diagnosis of LN metastasis, X13: SR). The receiver operating characteristic (ROC) curve was used to test the model's predictive efficacy, the area under the curve was 0.95, sensitivity: 95%, specificity: 87%. Hosmer-Lemeshow goodness of fit test showed X2 = 6.015, p = 0.65 (p > 0.05), indicating that the model had a high predictive value.

CONCLUSION

Evaluation of perirectal LN metastasis only based on conventional ERUS features of LN was not effective enough. UT stage of tumor, conventional ultrasound features diagnosis of LN metastasis and SR were independent risk factors for LN metastasis. The predictive model had good assessment efficacy and had certain clinical application value.

摘要

目的

探讨中低位直肠肿瘤淋巴结转移的危险因素,构建预测模型并检验该模型的诊断效能。

方法

回顾性分析172例经手术确诊的直肠癌患者的临床及病理资料,最终纳入本研究61例患者。根据淋巴结转移情况将患者分为阳性组和阴性组,分析可能影响淋巴结转移的危险因素。最后根据各危险因素的权重构建风险预测模型。

结果

与病理结果相比,仅根据淋巴结的常规直肠内超声(ERUS)特征诊断淋巴结转移的效能不高,灵敏度为67%,特异度为86%,阳性预测值为76%,阴性预测值为80%,准确度为79%。单因素分析显示,肿瘤环周角度、超声T分期(UT分期)、淋巴结转移的常规超声特征诊断、肿瘤应变率(SR)是淋巴结转移的危险因素,而直肠肿瘤血管阻力指数是保护因素。多因素分析显示,UT分期(OR = 7.188,p = 0.049)、淋巴结转移的常规超声特征诊断(OR = 8.010,p = 0.025)和SR(OR = 5.022,p = 0.031)是淋巴结转移的独立危险因素。将这些危险因素纳入逻辑回归分析并建立模型,Y = -7.3 + 1.9X10 + 2.1X11 + 1.6X13(Y = Logit[P],P:淋巴结转移率,X10:UT分期,X11:淋巴结转移的常规超声特征诊断,X13:SR)。采用受试者工作特征(ROC)曲线检验模型的预测效能,曲线下面积为0.95,灵敏度:95%,特异度:87%。Hosmer-Lemeshow拟合优度检验显示X2 = 6.015,p = 0.65(p>0.05),表明该模型具有较高的预测价值。

结论

仅基于淋巴结的常规ERUS特征评估直肠周围淋巴结转移不够有效。肿瘤UT分期、淋巴结转移的常规超声特征诊断和SR是淋巴结转移的独立危险因素。该预测模型具有良好的评估效能,具有一定的临床应用价值。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1ff3/9313894/389fd9a00981/JCU-50-705-g002.jpg

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