Integrating central-slice anatomy and MRF-mapped radiomics dynamics for lung adenocarcinoma subtyping

Key Points

• High classification accuracy is achieved using a combined framework integrating anatomical and radiomic information, suggesting effectiveness in subtyping.
• The dynamic radiomics evolution maps enable detailed interpretation, enhancing understanding of lung adenocarcinoma classification.
• Static anatomical data fused with radiomics promotes improved diagnostic capabilities, facilitating clinical application in oncology.
• The framework presents a promising intelligent diagnostic aid, potentially improving treatment strategies for lung adenocarcinoma patients.