Systemic immune-inflammatory index is associated with malignancy in Lung-RADS 4 lung nodules
Santiago Ceron1, Sierra Broad1, Arsalan Khan1
1Department of Cardiovascular and Thoracic Surgery, Rush University Medical Center, Chicago, IL, USA.
Journal of Thoracic Disease
|August 12, 2026
Summary
The systemic immune-inflammatory index (SII) can help identify malignancy in high-risk pulmonary nodules found on low-dose CT scans. An elevated SII score is linked to a higher likelihood of lung cancer in Lung-RADS 4 nodules.
Area of Science:
- Pulmonary Medicine
- Oncology
- Radiology
Background:
- Accurate risk stratification of pulmonary nodules detected by low-dose computed tomography (LDCT) is crucial.
- Lung CT Screening Reporting and Data System (Lung-RADS) 4 nodules represent a high-risk group requiring careful evaluation.
- The systemic immune-inflammatory index (SII) has emerged as a potential biomarker for various cancers.
Purpose of the Study:
- To investigate the association between the systemic immune-inflammatory index (SII) and malignancy in patients with Lung-RADS 4 nodules identified on LDCT.
- To determine if SII can aid in differentiating malignant from benign nodules within this high-risk category.
Main Methods:
- Retrospective review of 123 patients with Lung-RADS 4A/B/X nodules identified on LDCT.
- Exclusion of patients with incomplete blood counts, loss to follow-up, or non-cancerous nodule diagnoses (inflammatory, granulomas, metastases).
- Univariate, multivariable, and cut-point analyses to assess the correlation between SII and malignancy, adjusting for clinical factors.
Main Results:
- 63.4% of evaluated nodules were diagnosed as lung cancer.
- Patients with malignant nodules exhibited a significantly higher median SII compared to those with benign nodules (P=0.007).
- An SII cutoff of 561 demonstrated a 3.74-fold increased odds of malignancy (P=0.008).
Conclusions:
- An elevated SII is significantly associated with malignancy in non-inflammatory Lung-RADS 4 pulmonary nodules detected by LDCT.
- SII calculation can serve as a valuable adjunct tool for risk-stratification and prognostication of high-risk pulmonary nodules.
- Further research may integrate SII into clinical decision-making algorithms for pulmonary nodule management.
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