Integrating MRI Delta-radiomics and Transcriptomics to Assess Neoadjuvant Radiotherapy plus Targeted Therapy in Soft Tissue Sarcoma
Motivation: The complexity and heterogeneity of soft tissue sarcomas (STS) create challenges in personalized treatment, underscoring the need for tools that can reveal tumor characteristics and their biological implications. Goal(s): To evaluate the ability of MRI-based Delta-radiomics in classifying STS patients and explore its association with transcriptomic changes and immune microenvironment characteristics. Approach: Prospective phase II trial with 84 STS patients, utilizing MRI for radiomic feature extraction and transcriptomic analysis to correlate gene expression with treatment response. Results: Delta-radiomics stratified patients into distinct clusters, revealing significant correlations with gene expression profiles and immune response patterns, highlighting a comprehensive approach to treatment stratification in STS. Impact: The integration of radiomics and transcriptomics in this study has revolutionized the understanding of STS, providing a non-invasive approach to uncover the genetic basis of disease. This fusion offers a comprehensive view of disease mechanisms, which can enhance personalized treatment.
Authors
- Jiuming Jiang (ORCID: https://orcid.org/0000-0001-9742-7243)
- Lei Miao
- Shuang Wang (ORCID: https://orcid.org/0000-0001-6420-983X)
- Meng Li (ORCID: https://orcid.org/0000-0002-8000-3003)
- Ning-Ning Lu (ORCID: https://orcid.org/0000-0003-4636-6035)
- Xiao Li (ORCID: https://orcid.org/0009-0001-9873-8999)
- Lei Yang (ORCID: https://orcid.org/0000-0002-0418-6987)
Publication Details
- Journal
- Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
- Published
- 2025-09-16
- DOI
- https://doi.org/10.58530/2025/2060
- Primary Topic
- Sarcoma Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 0.00