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April 17, 2026BMC Medical ImagingOpen Access

Development and validation of an MRI-based clinical-radiomics nomogram for predicting lymph node metastasis in non-small cell lung cancer

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Authors

XLXiuchen LiShandong Provincial Hospital NCNa ChangJinan Maternity And Care Hospital SZShuai ZhangShandong Provincial Hospital

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Implication

Diagnostic accuracy study develops nomogram predicting lymph node metastasis in non-small cell lung cancer, suggesting improved preoperative decisions.

Key Points

This research aims to create and validate a nomogram for predicting lymph node metastasis in non-small cell lung cancer using clinical and radiomics data.
Conducted a retrospective study with 220 patients with confirmed non-small cell lung cancer.
Divided patients into training and validation sets for model development.
Used univariable and multivariable logistic regression to identify independent predictors.
Developed a radiomics signature from MRI sequences using logistic regression.
Assessed diagnostic performance using receiver operating characteristic analysis.
The nomogram achieved an area under the curve of 0.847, indicating high accuracy.
The clinical model alone had an AUC of 0.710, while the radiomics signature had an AUC of 0.802.
The nomogram outperformed assessments by two radiologists in predicting lymph node metastasis.

Cite This Study

Li et al. (2026) studied this question.

synapsesocial.com/papers/69e1cefb5cdc762e9d857e8d https://doi.org/10.1186/s12880-026-02357-5

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Implication

Diagnostic accuracy study develops nomogram predicting lymph node metastasis in non-small cell lung cancer, suggesting improved preoperative decisions.

Development and validation of an MRI-based clinical-radiomics nomogram for predicting lymph node metastasis in non-small cell lung cancer

Discussion

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Implication

Key Points

Cite This Study

Development and validation of an MRI-based clinical-radiomics nomogram for predicting lymph node metastasis in non-small cell lung cancer

Discussion

Member takes

Implication

Key Points

Cite This Study

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