Journal
CANCER IMAGING
Volume 22, Issue 1, Pages -Publisher
BMC
DOI: 10.1186/s40644-022-00506-x
Keywords
Computed tomography; Lymph node; Lung cancer; Texture
Funding
- Federal Ministry of Education and Research (BMBF), Germany [FKZ 01EO1501]
- Mitteldeutsche Gesellschaft fur Pneumologie (MDGP) e.V. [2018-MDGP-PA-002]
- Medical Faculty, University of Leipzig
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The study demonstrates that CT texture analysis and Node-RADS can be used to differentiate benign from malignant mediastinal lymph nodes in patients with lung cancer, aiding in diagnosis.
Background: Texture analysis derived from computed tomography (CT) can provide clinically relevant imaging biomarkers. Node-RADS is a recently proposed classification to categorize lymph nodes in radiological images. The present study sought to investigate the diagnostic abilities of CT texture analysis and Node-RADS to discriminate benign from malignant mediastinal lymph nodes in patients with lung cancer.Methods: Ninety-one patients (n = 32 females, 35%) with a mean age of 64.8 +/- 10.8 years were included in this retrospective study. Texture analysis was performed using the free available Mazda software. All lymph nodes were scored accordingly to the Node-RADS classification. All primary tumors and all investigated mediastinal lymph nodes were histopathologically confirmed during clinical workup.Results: In discrimination analysis, Node-RADS score showed statistically significant differences between N0 and N1-3 (p < 0.001). Multiple texture features were different between benign and malignant lymph nodes: S(1,0)AngScMom, S(1,0)SumEntrp, S(1,0)Entropy, S(0,1)SumAverg. Correlation analysis revealed positive associations between the texture features with Node-RADS score: S(4,0)Entropy (r = 0.72, p < 0.001), S(3,0) Entropy (r = 0.72, p < 0.001), S(2,2) Entropy (r = 0.72, p < 0.001).Conclusions: Several texture features and Node-RADS derived from CT were associated with the malignancy of mediastinal lymph nodes and might therefore be helpful for discrimination purposes. Both of the two quantitative assessments could be translated and used in clinical routine.
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