Radiomic features of primary tumor by lung cancer stage: analysis in BRAF mutated non-small cell lung cancer
- PMID: 32953516
- PMCID: PMC7481629
- DOI: 10.21037/tlcr-20-347
Radiomic features of primary tumor by lung cancer stage: analysis in BRAF mutated non-small cell lung cancer
Abstract
Background: The clinical features and traditional semantic imaging characteristics of BRAF-mutated non-small cell lung cancer (NSCLC) have been previously reported. The radiomic features of BRAF-mutated NSCLC and their role in predicting cancer stage, however, have yet to be investigated. This study's goal is to assess the differences in CT radiomic features of primary NSCLC driven by BRAF mutation and stratified by tumor-node-metastasis (TNM) staging.
Methods: Our IRB approved study included 62 patients with BRAF mutations (V600 in 27 and non-V600 in 35 patients), who underwent contrast-enhanced chest CT. Tumor stage was determined based on the 8th edition of TNM staging. Two thoracic radiologists assessed the primary tumor imaging features such, including tumor size (maximum and minimum dimensions) and density (Hounsfield units, HU). De-identified transverse CT images (DICOM) were processed with 3D slicer (Version 4.7) for manual lesion segmentation and estimation of radiomic features. Descriptive statistics, multivariate logistic regression, and receiver operating characteristics (ROC) were performed.
Results: There were significant differences in the radiomic features based on cancer stages I-IV with the most significant differences between stage IV and stage I lesions [AUC 0.94 (95% CI: 0.86-0.99), P<0.04]. There were also significant differences in radiomic features between stage IV and combined stages I-III [40/113 radiomic features; AUC 0.71 (95% CI: 0.59-0.85); P<0.04-0.0001]. None of the clinical (0/6) or imaging (0/3) features were significantly different between stage IV and combined stages I-III.
Conclusions: The radiomic features of primary tumor in BRAF driven NSCLC significantly vary with cancer stage, independent of standard imaging and clinical features.
Keywords: BRAF; lung cancer; multidetector row computed tomography; radiomics.
2020 Translational Lung Cancer Research. All rights reserved.
Conflict of interest statement
Conflicts of Interest: All authors have completed the ICMJE uniform disclosure form (available at http://dx.doi.org/10.21037/tlcr-20-347). Dr. IDJ reports personal fees from Boehringer Ingelheim, and AstraZeneca, personal fees from Foundation Medicine, personal fees from Array and Pfizer, grants from Array, Genentech, Pfizer, and Guardant Health, outside the submitted work; Dr. MKK reports grants from Riverain technologies, grants from Siemens Healthineers, outside the submitted work. Dr. SRD reports Merck, Pfizer, Bristol Mayer Squibb, Novartis, Roche, Polaris, Cascadian, Abbvie, Gradalis, Clinical Bay, Zai laboratories, Siemens Medical Solutions, Lunit INC, outside the submitted work. The other authors have no conflicts of interest to declare.
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