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神经周围侵犯、乳酸脱氢酶、球蛋白和血清钠预测口腔癌隐匿性转移。

Perineural invasion, lactate dehydrogenase, globulin, and serum sodium predicting occult metastasis in oral cancer.

机构信息

Jiangsu Key Laboratory of Oral Diseases, Nanjing Medical University, Nanjing, China.

Department of Oral and Maxillofacial Surgery, Affiliated Hospital of Stomatology, Nanjing Medical University, Nanjing, China.

出版信息

Oral Dis. 2022 Jan;28(1):132-141. doi: 10.1111/odi.13750. Epub 2020 Dec 16.

Abstract

OBJECTIVE

This study aimed to develop a nomogram to predict the neck occult metastasis in early (T1-T2 cN0) oral squamous cell carcinoma (OSCC).

MATERIALS AND METHODS

The nomogram was developed in a training cohort of 336 early OSCC patients and was validated in a validation cohort including 88 patients. Independent predictors were calculated by univariate and multivariate logistic regression analyses.

RESULTS

In univariate logistical regression analysis, gender, perineural invasion (PNI), blood vessel invasion, mean corpuscular hemoglobin, aspartate aminotransferase, prealbumin, globulin (GLO), lactate dehydrogenase (LDH), serum sodium (NA), and serum chloride were significant associated with neck occult metastasis. Multivariate logistical regression analysis identified PNI (p < .001), LDH (p = .003), GLO (p = .019), and NA (p = .020) as independent predictors of neck occult metastasis. Cut-off values for LDH, GLO, and NA obtained from AUC were 142.5, 26.35, and 139.5, respectively. The nomogram based on PNI and categorical GLO, LDH, and NA exhibited a strong discrimination, with a C-indexes of 0.748 (95%CI = 0.688 to 0.810) in the training cohort and 0.751 (95%CI = 0.639 to 0.863) in the validation cohort.

CONCLUSIONS

A nomogram based on PNI, LDH, GLO, and NA for predicting the risk of neck lymph nodes occult metastasis in OSCC could help surgeons with therapy decision-making.

摘要

目的

本研究旨在建立一个列线图,以预测早期(T1-T2 cN0)口腔鳞状细胞癌(OSCC)的颈部隐匿性转移。

材料与方法

该列线图在 336 例早期 OSCC 患者的训练队列中建立,并在包括 88 例患者的验证队列中进行验证。通过单因素和多因素逻辑回归分析计算独立预测因子。

结果

在单因素逻辑回归分析中,性别、神经周围侵犯(PNI)、血管侵犯、平均红细胞血红蛋白、天冬氨酸氨基转移酶、前白蛋白、球蛋白(GLO)、乳酸脱氢酶(LDH)、血清钠(NA)和血清氯与颈部隐匿性转移显著相关。多因素逻辑回归分析确定 PNI(p<0.001)、LDH(p=0.003)、GLO(p=0.019)和 NA(p=0.020)是颈部隐匿性转移的独立预测因子。AUC 获得的 LDH、GLO 和 NA 的截断值分别为 142.5、26.35 和 139.5。基于 PNI 和分类 GLO、LDH 和 NA 的列线图具有较强的区分能力,在训练队列中的 C 指数为 0.748(95%CI=0.688 至 0.810),在验证队列中的 C 指数为 0.751(95%CI=0.639 至 0.863)。

结论

基于 PNI、LDH、GLO 和 NA 的列线图可预测 OSCC 颈部淋巴结隐匿性转移的风险,有助于外科医生进行治疗决策。

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