ArticleContrast media & molecular imaging2021
A Nanoradiomics Approach for Differentiation of Tumors Based on Tumor-Associated Macrophage Burden.
Article in Contrast media & molecular imaging, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- Nano-radiomics of molecular MRI for early amyloid associated patterns in an Alzheimer's disease mouse model via an automatic pipeline.BMC medical imaging · 2026Article
- Review
- Nanoparticle contrast-enhanced computed tomography and magnetic resonance imaging of vascularization of a subcutaneous niche for islet transplantation.Bioengineering & translational medicine · 2025Article
- Intratumoral nanofluidic system enhanced tumor biodistribution of PD-L1 antibody in triple-negative breast cancer.Bioengineering & translational medicine · 2023Article
- Targeting Tumor-Associated Macrophages for Imaging.Pharmaceutics · 2022Review
- Photon Counting CT and Radiomic Analysis Enables Differentiation of Tumors Based on Lymphocyte Burden.Tomography (Ann Arbor, Mich.) · 2022Article
- Prediction for Mitosis-Karyorrhexis Index Status of Pediatric Neuroblastoma via Machine Learning BasedDiagnostics (Basel, Switzerland) · 2022Article
- Applications of machine learning in tumor-associated macrophages.Frontiers in immunology · 2022Review
- Review
- Nanoparticle Contrast Agents for Photon-Counting Computed Tomography: Recent Developments and Future Opportunities.Wiley interdisciplinary reviews. Nanomedicine and nanobiotechnologyReview
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Authors and funding
8 authors.
Funding
Abstract
Objective: Tumor-associated macrophages (TAMs) within the tumor immune microenvironment (TiME) of solid tumors play an important role in treatment resistance and disease recurrence. The purpose of this study was to investigate if nanoradiomics (radiomic analysis of nanoparticle contrast-enhanced images) can differentiate tumors based on TAM burden. Materials and Methods: In vivo studies were performed in transgenic mouse models of neuroblastoma with low ( Results: N-CECT imaging demonstrated heterogeneous patterns of signal enhancement in low and high TAM tumors. CT imaging-derived conventional tumor metrics showed no significant differences ( Conclusions: Imaging-derived conventional tumor metrics were unable to differentiate tumors with varying TAM burden; however, nanoradiomic analysis revealed texture differences and enabled differentiation of low and high TAM tumors.
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