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Efficiency of pulmonary nodule risk scoring systems in Turkish population

  • 0Department of Thoracic Surgery, University of Health Sciences, Ankara Atatürk Sanatoryum Training and Research Hospital, Ankara, Turkey.
Updates in Surgery +

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June 29, 2024

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June 29, 2024

View abstract on PubMed

Summary

This summary is machine-generated.

This study evaluated pulmonary nodule malignancy risk models in Turkey, finding all three models effective but requiring optimization for the local population. Further research is needed to refine these tools for better accuracy in Turkish patients.

Area Of Science

  • Pulmonology
  • Radiology
  • Oncology

Background

  • Pulmonary nodules require accurate malignancy risk assessment for appropriate management.
  • Existing risk calculation models (Brock, Mayo, Herder) have shown effectiveness in various populations.
  • The applicability of these models to the Turkish population needed specific evaluation.

Purpose Of The Study

  • To compare the effectiveness and applicability of the Brock, Mayo, and Herder pulmonary nodule malignancy risk calculation models in the Turkish population.
  • To determine optimal threshold values for these models within the study cohort.
  • To assess model performance based on nodule characteristics and patient demographics.

Main Methods

  • Retrospective analysis of 351 patients who underwent surgery for pulmonary nodules between 2014 and 2019.
  • Data collected included clinical and radiological features, PET/CT findings, and definitive pathology.
  • Malignancy risk scores were calculated using Brock, Mayo, and Herder model equations.

Main Results

  • Significant correlations between malignancy and age, nodule diameter, gender, spiculation, emphysema, and FDG uptake were observed.
  • All three models demonstrated effectiveness in differentiating malignant from benign nodules (p < 0.001).
  • Models were effective for nodules >10 mm and for solid/semi-solid nodules, but not for 0-10 mm nodules. Brock model showed effectiveness for ground-glass nodules.

Conclusions

  • The Brock, Mayo, and Herder models are effective for assessing pulmonary nodule malignancy risk in the Turkish population.
  • Optimal threshold values were identified for each model: Brock (19.5%), Mayo (23.1%), and Herder (56%).
  • Model performance, particularly AUC values, did not reach levels of original studies, indicating a need for optimization and threshold adjustment for the Turkish demographic.

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