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Updated: Jan 9, 2026

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In Vivo, Percutaneous, Needle Based, Optical Coherence Tomography of Renal Masses
Published on: March 30, 2015
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Immuno-oncologic profiling of renal masses using multiparametric MRI: a pilot study.
Mira M Liu1, Octavia Bane1,2, Xin Mu1
1Biomedical Engineering and Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
Journal for Immunotherapy of Cancer
|December 8, 2025
Summary
Multiparametric MRI (mpMRI) can detect tumor immune microenvironment markers and classify renal masses. This study shows mpMRI
Area of Science:
- Renal cell carcinoma research
- Medical imaging
- Oncology
Background:
- Preoperative characterization of renal mass malignancy and subtype is crucial for tailored management.
- Understanding the tumor immune microenvironment can inform treatment decisions.
Purpose of the Study:
- To evaluate multiparametric MRI (mpMRI) for sensitivity to immuno-oncologic markers.
- To assess mpMRI's ability to classify tumor malignancy, subtype, and grade.
Main Methods:
- Prospective study of 40 patients undergoing preoperative 1.5T mpMRI.
- Utilized advanced MRI techniques including diffusion-weighted imaging (IVIM, ADC), R2*, ASL, and DCE-MRI.
- Correlated MRI biomarkers with immunohistochemistry results for immune cell markers (CD3, CD4, CD8, CD68) and angiogenesis (CD31) in clear cell renal cell carcinoma (ccRCC).
Main Results:
- IVIM parameters (f, D*, fD*) correlated with T cells (CD4, CD3, CD8).
- R2* correlated with macrophages (CD68) and angiogenesis (CD31).
- mpMRI demonstrated high accuracy in predicting malignancy and distinguishing ccRCC from non-ccRCC.
Conclusions:
- mpMRI is sensitive to immuno-oncologic biomarkers, aiding in characterizing the tumor immune microenvironment.
- Preoperative mpMRI can improve the characterization of renal mass malignancy and subtype.
- This supports mpMRI as a valuable tool for informed and tailored treatment management in renal masses.
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