Journal article
Computed Tomography Features of Lung Structure Have Utility for Differentiating Malignant and Benign Pulmonary Nodules
Chronic obstructive pulmonary diseases, Vol.9(2), pp.154-164
01/12/2022
DOI: 10.15326/jcopdf.2021.0271
PMCID: PMC9166332
PMID: 35021316
Abstract
Background:
Chronic obstructive pulmonary disease (COPD) is a known comorbidity for lung cancer independent of smoking history. Quantitative computed tomography (qCT) imaging features related to COPD have shown promise in the assessment of lung cancer risk. We hypothesize that qCT features from the lung, lobe, and airway tree related to the location of the pulmonary nodule can be used to provide informative malignancy risk assessment.
Methods:
A total of 183 qCT features were extracted from 278 individuals with a solitary pulmonary nodule of known diagnosis (71 malignant, 207 benign). These included histogram and airway characteristics of the lungs, lobe, and segmental paths. Performances of the least absolute shrinkage and selection operator (LASSO) regression analysis and an ensemble of neural networks (ENN) were compared for feature set selection and classification on a testing cohort of 49 additional individuals (15 malignant, 34 benign).
Results:
The LASSO and ENN methods produced different feature sets for classification with LASSO selecting fewer qCT features (7) than the ENN (17). The LASSO model with the highest performing training area under the curve (AUC) (0.80) incorporated automatically extracted features and reader-measured nodule diameter with a testing AUC of 0.62. The ENN model with the highest performing AUC (0.77) also incorporated qCT and reader diameter but maintained higher testing performance AUC (0.79).
Conclusions:
Automatically extracted qCT imaging features of the lung can be informative of the differentiation between individuals with malignant pulmonary nodules and those with benign pulmonary nodules, without requiring nodule segmentation and analysis.
Details
- Title: Subtitle
- Computed Tomography Features of Lung Structure Have Utility for Differentiating Malignant and Benign Pulmonary Nodules
- Creators
- Johanna M. Uthoff - University of IowaSarah L. Mott - University of IowaJared Larson - University of IowaChristine M. Neslund-Dudas - Henry Ford Health SystemAnn G. Schwartz - Karmanos Cancer InstituteJessica C. Sieren - University of IowaCOPDGene® Investigators
- Resource Type
- Journal article
- Publication Details
- Chronic obstructive pulmonary diseases, Vol.9(2), pp.154-164
- Publisher
- COPD Foundation Inc
- DOI
- 10.15326/jcopdf.2021.0271
- PMID
- 35021316
- PMCID
- PMC9166332
- ISSN
- 2372-952X
- eISSN
- 2372-952X
- Alternative title
- Quantitative Computed Tomography and Pulmonary Nodules
- Language
- English
- Date published
- 01/12/2022
- Academic Unit
- Roy J. Carver Department of Biomedical Engineering; Radiology
- Record Identifier
- 9984318723602771
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