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- Title
Comparison of CT- and MRI-Based Quantification of Tumor Heterogeneity and Vascularity for Correlations with Prognostic Biomarkers and Survival Outcomes: A Single-Center Prospective Cohort Study.
- Authors
Kim, Hyo-Young; Bae, Min-Sun; Seo, Bo-Kyoung; Lee, Ji-Young; Cho, Kyu-Ran; Woo, Ok-Hee; Song, Sung-Eun; Cha, Jaehyung
- Abstract
Background: Tumor heterogeneity and vascularity can be noninvasively quantified using histogram and perfusion analyses on computed tomography (CT) and magnetic resonance imaging (MRI). We compared the association of histogram and perfusion features with histological prognostic factors and progression-free survival (PFS) in breast cancer patients on low-dose CT and MRI. Methods: This prospective study enrolled 147 women diagnosed with invasive breast cancer who simultaneously underwent contrast-enhanced MRI and CT before treatment. We extracted histogram and perfusion parameters from each tumor on MRI and CT, assessed associations between imaging features and histological biomarkers, and estimated PFS using the Kaplan–Meier analysis. Results: Out of 54 histogram and perfusion parameters, entropy on T2- and postcontrast T1-weighted MRI and postcontrast CT, and perfusion (blood flow) on CT were significantly associated with the status of subtypes, hormone receptors, and human epidermal growth factor receptor 2 (p < 0.05). Patients with high entropy on postcontrast CT showed worse PFS than patients with low entropy (p = 0.053) and high entropy on postcontrast CT negatively affected PFS in the Ki67-positive group (p = 0.046). Conclusions: Low-dose CT histogram and perfusion analysis were comparable to MRI, and the entropy of postcontrast CT could be a feasible parameter to predict PFS in breast cancer patients.
- Subjects
CONTRAST-enhanced magnetic resonance imaging; PROGNOSIS; BREAST; SURVIVAL rate; EPIDERMAL growth factor receptors; MAGNETIC resonance imaging; COHORT analysis
- Publication
Bioengineering (Basel), 2023, Vol 10, Issue 5, p504
- ISSN
2306-5354
- Publication type
Article
- DOI
10.3390/bioengineering10050504