The solitary pulmonary lesion (SPL) is one of the most common imaging findings. In this study, lung MR using T2 weighted imaging were acquired and analyzed using radiomics. Both 2D and 3D features combined with machine learning approach were compared to determinate an optimal model for differentiation of SPLs. We found that the radiomics signatures derived from 3D features outperformed that from 2D features. The best 3D radiomics model for the classification was a combination of principal component analysis(PCA), analysis of variance(ANOVA) and linear discriminant analysis (LDA). The T2WI-based radiomics model shows potential in differentiating malignancy from benign SPLs.
How to access this content:
For one year after publication, abstracts and videos are only open to registrants of this annual meeting. Registrants should use their existing login information. Non-registrant access can be purchased via the ISMRM E-Library.
After one year, current ISMRM & ISMRT members get free access to both the abstracts and videos. Non-members and non-registrants must purchase access via the ISMRM E-Library.
After two years, the meeting proceedings (abstracts) are opened to the public and require no login information. Videos remain behind password for access by members, registrants and E-Library customers.
Keywords