Keywords: Perfusion, Cancer, TILs, q-DCE, habitat imaging
Motivation: Tumor-infiltrating lymphocytes (TILs) are highly correlated with the prognosis of tumor treatment. We seek an efficient and noninvasive method for evaluating TILs based on habitat imaging of perfusion MRI.
Goal(s): We investigate whether the quantitative DCE-based habitat imaging could be utilized to assess TILs in breast cancer patients.
Approach: We developed a logistic predictive model utilizing extracted subregion DCE features to assess TILs, leveraging tumor spatial heterogeneity.
Results: Significant perfusion differences exist between the low and medium-high TILs groups. The predictive model distinguishes the two groups with an AUC of 0.671, sensitivity of 0.571, and specificity of 0.75.
Impact: This study indicates that quantitative DCE-based habitat imaging holds potential for the assessment of TILs in breast cancer.
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