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Preoperative Contrast-enhanced CT Features Associated with Occult Lymph Node Metastasis in Early-Stage Solid
Yuyi Feng1, Huangqi Zhang2,3, Jiaqian Yu2
1School of Medicine, Shaoxing University, Shaoxing 312000, China.
A new CT scan model accurately predicts occult lymph node metastasis in early-stage non-small cell lung cancer (NSCLC). This tool helps personalize lymph node dissection strategies for better patient outcomes.
Area of Science:
- Radiology and Oncology
- Thoracic Surgery
Background:
- Occult lymph node metastasis (OLNM) is a critical factor in early-stage non-small cell lung cancer (NSCLC).
- Accurate preoperative identification of OLNM is essential for guiding individualized lymph node dissection (LND) strategies.
Purpose of the Study:
- To develop and validate a contrast-enhanced CT-based prediction model for identifying OLNM in early-stage NSCLC.
- To support tailored LND strategies based on CT imaging predictors.
Main Methods:
- Retrospective study of 329 patients with clinical stage I-IIA solid NSCLC undergoing lobectomy and LND.
- Logistic regression analysis to identify CT predictors of OLNM and construct a nomogram.
- Model performance evaluated using receiver operating characteristic curve analysis.
Main Results:
- 22.2% of patients had OLNM, with 47.9% N1 and 52.1% N2 involvement.
- Independent CT predictors included decreased inner margin ratio, lollipop sign, and tumor-pleura relationship types II and III.
- The nomogram achieved an AUC of 0.81, with 78.1% sensitivity and 73.4% specificity.
Conclusions:
- A contrast-enhanced CT-based nomogram effectively stratifies preoperative risk for OLNM in early-stage solid NSCLC.
- The model incorporates key imaging features to aid in personalized LND strategies.
- This tool has the potential to optimize surgical planning for NSCLC patients.
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