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. 2024 Nov 6;24(1):557.
doi: 10.1186/s12890-024-03378-y.

Preoperative prediction of occult lymph node metastasis in patients with non-small cell lung cancer: a simple and widely applicable model

Jing-Xiao Li #  1 , Gui-Yu Feng #  1 , Kun-Lin He  1 , Guo-Sheng Li  1 , Xiang Gao  1 , Guan-Qiang Yan  1 , Long-Qian Wei  1 , Xu He  1 , Yue Li  1 , Zong-Wang Fu  1 , Jun Liu #  2 , Hua-Fu Zhou #  3
Affiliations

Preoperative prediction of occult lymph node metastasis in patients with non-small cell lung cancer: a simple and widely applicable model

Jing-Xiao Li et al. BMC Pulm Med. .

Abstract

Objective: Lymph node metastasis (LNM) is one of the most common pathways of metastasis in non-small cell lung cancer (NSCLC). Preoperative assessment of occult lymph node metastasis (OLNM) in NSCLC patients is beneficial for selecting appropriate treatment plans and improving patient prognosis.

Method: A total of 370 NSCLC patients were included in the study. Univariate and multivariate logistic regression analysis were used to screen potential risk factors for OLNM in preoperative NSCLC patients. And establish a nomogram for OLNM in NSCLC patients before surgery. Receiver operating characteristic (ROC) curve, calibration curve, and decision curve analysis (DCA) were used to evaluate the established nomogram.

Result: Both univariate and multivariate logistic regression analyses suggested that multiple tumors, ERBB2 missense mutation, CA125 levels, CA153 levels, tumor site, tumor length, and serum ferritin are potential risk factors for OLNM in NSCLC patients. The constructed nomogram was evaluated, and the consistency index (C-index) and area under the ROC curve of the model were both 0.846. The calibration curve showed that the predicted values of the model had a high degree of fit with the actual observed values, and DCA suggested that the above indicators had good utility.

Conclusion: The personalized scoring prediction model constructed based on multiple tumors, ERBB2 miss mutation, CA125 levels, CA153 levels, tumor site, tumor length, and serum ferritin can screen NSCLC patients who may have OLNM.

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Conflict of interest statement

All authors declare no conflicts of interest in this paper.

Figures

Fig. 1
Fig. 1
The sample screening process of this study. NSCLC: Non-small cell lung cancer
Fig. 2
Fig. 2
Nomogram constructed based on potential risk factors. MM: Missense mutation; OLNM: Occult lymph node metastasis
Fig. 3
Fig. 3
ROC of nomogram. AUC: Area under the curve
Fig. 4
Fig. 4
Calibration curve of nomogram
Fig. 5
Fig. 5
DCA curve for internal validation of nomogram
See this image and copyright information in PMC

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