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Background <p>Integrated positron emission tomography/magnetic resonance (PET/MRI) may have the potential to evaluate lymph node metastasis (LNM) status and Ki-67 proliferation index in patients with non-small cell lung cancer.</p> Methods <p>This study enrolled 92 pathologically confirmed NSCLC patients. Quantitative analysis of metabolic parameters, such as maximum standardized uptake value (SUVmax), metabolic tumor volume (MTV), total lesion glycolysis (TLG), and IVIM parameters including apparent diffusion coefficient (ADC), true diffusion coefficient (D), pseudo diffusion coefficient (D*), perfusion fraction (f), and distributed diffusion coefficient (DDC). The predictive performance of each parameter for LNM was assessed using receiver operating characteristic (ROC) curve analysis, and a multivariate logistic regression model was constructed to establish the optimal combined predictive model. Spearman correlation analysis was used to explore the relationship between imaging parameters and Ki-67 expression.</p> Results <p>LNM prediction: The LNM-positive group exhibited lower ADC, D, and DDC (all <i>P</i> &lt; 0.05) compared to the LNM-negative group. Multivariate analysis identified MTV and DDC as independent predictors of LNM. The combined model (MTV + DDC) achieved an AUC of 0.821 (sensitivity 79.49%, specificity 73.59%), significantly outperforming individual parameters (<i>P</i> &lt; 0.05). Ki-67 correlation: SUVmax, MTV, and TLG showed positive correlations with Ki-67 (<i>r</i> = 0.232 to -0.300, <i>P</i> &lt; 0.05), while ADC and D values exhibited negative correlations (<i>r</i> = − 0.327 to − 0.240, <i>P</i> &lt; 0.05). No significant association was observed between D*, f, and Ki-67 (<i>P</i> &gt; 0.05).</p> Conclusion <p>Integrated PET/MRI, by combining metabolic (MTV) and diffusion (DDC) parameters, significantly improves the predictive accuracy for LNM in NSCLC. Additionally, metabolic and select IVIM parameters correlate with Ki-67 expression.</p>

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Prediction of lymph node metastasis in non-small cell lung cancer and its correlation with Ki-67 expression: a comparative study between intravoxel incoherent motion imaging and 18F-FDG PET

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2026年1月3日

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  • Wei Wei,
  • Qianqian Chen,
  • Nan Meng,
  • Xinyu Wang,
  • Yue Liu,
  • Jingwen Zhang,
  • Yaping Wu,
  • Jiayin Pan,
  • Zhun Huang,
  • Yang Yang,
  • Zhe Wang,
  • Qiuyu Liu,
  • Fangfang Fu,
  • Meiyun Wang

摘要

Background

Integrated positron emission tomography/magnetic resonance (PET/MRI) may have the potential to evaluate lymph node metastasis (LNM) status and Ki-67 proliferation index in patients with non-small cell lung cancer.

Methods

This study enrolled 92 pathologically confirmed NSCLC patients. Quantitative analysis of metabolic parameters, such as maximum standardized uptake value (SUVmax), metabolic tumor volume (MTV), total lesion glycolysis (TLG), and IVIM parameters including apparent diffusion coefficient (ADC), true diffusion coefficient (D), pseudo diffusion coefficient (D*), perfusion fraction (f), and distributed diffusion coefficient (DDC). The predictive performance of each parameter for LNM was assessed using receiver operating characteristic (ROC) curve analysis, and a multivariate logistic regression model was constructed to establish the optimal combined predictive model. Spearman correlation analysis was used to explore the relationship between imaging parameters and Ki-67 expression.

Results

LNM prediction: The LNM-positive group exhibited lower ADC, D, and DDC (all P < 0.05) compared to the LNM-negative group. Multivariate analysis identified MTV and DDC as independent predictors of LNM. The combined model (MTV + DDC) achieved an AUC of 0.821 (sensitivity 79.49%, specificity 73.59%), significantly outperforming individual parameters (P < 0.05). Ki-67 correlation: SUVmax, MTV, and TLG showed positive correlations with Ki-67 (r = 0.232 to -0.300, P < 0.05), while ADC and D values exhibited negative correlations (r = − 0.327 to − 0.240, P < 0.05). No significant association was observed between D*, f, and Ki-67 (P > 0.05).

Conclusion

Integrated PET/MRI, by combining metabolic (MTV) and diffusion (DDC) parameters, significantly improves the predictive accuracy for LNM in NSCLC. Additionally, metabolic and select IVIM parameters correlate with Ki-67 expression.