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Updated: Aug 4, 2025

Multifractal Spectrum Analysis for Assessing Pulmonary Nodule Malignancy
Published on: January 10, 2025
Differences in VA and Non-VA Pulmonary Nodules: All Evaluations Are not Created Equal
Melissa L New1, Erin A Hirsch2, William J Feser2
1University of Colorado, Division of Pulmonary Sciences and Critical Care Medicine, Aurora, CO; Rocky Mountain Regional VA Medical Center, Aurora, CO.
Managing indeterminate pulmonary nodules (IPNs) is challenging. Risk calculators and guidelines show variability, potentially leading to incorrect treatment for lung cancer patients.
Area of Science:
- Pulmonology
- Thoracic Oncology
- Medical Informatics
Background:
- Indeterminate pulmonary nodules (IPNs) require careful risk assessment for malignancy to guide management.
- Current risk stratification tools and guidelines face challenges in clinical application.
Purpose of the Study:
- To evaluate the performance of risk calculators and current guidelines in managing indeterminate pulmonary nodules.
- To compare patient and nodule characteristics between Veterans Affairs (VA) and non-VA cohorts.
Main Methods:
- A prospective cohort study of 282 patients with IPNs from VA and non-VA sites.
- Analysis included patients with definitive diagnoses or stable/resolved nodules over 2 years.
- Comparison of risk calculator discrimination and calibration between cohorts.
Main Results:
- Malignancy rates were similar (48%) between VA and non-VA patients, but VA patients had higher risk factors (smoking, COPD) and more squamous cell carcinoma.
- Risk calculators showed wide-ranging and variable performance between different tools and between VA/non-VA groups.
- Applying current guidelines could have led to unnecessary resection of 12% of benign nodules.
Conclusions:
- Significant differences exist in risk factors, histology, and stage at diagnosis between VA and non-VA patients with IPNs.
- Risk calculator performance is variable and may not be reliable across different patient populations.
- Current IPN management guidelines and tools require refinement to improve clinical accuracy and patient outcomes.
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