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Multiparametric MR characterization for human epithelial growth factor receptor 2 expression in bladder cancer: an
Lingmin Kong1, Jian Ling2, Wenxin Cao1
1Department of Radiology, The First Affiliated Hospital, Sun Yat-Sen University, 58 Zhongshan Road 2, Guangzhou, Guangdong, People's Republic of China.
Abdominal Radiology (New York)
|June 12, 2024
Summary
Multiparametric MRI accurately assesses human epithelial growth factor receptor 2 (HER2) status in bladder cancer. This imaging approach aids in guiding personalized anti-HER2 targeted therapies for better patient outcomes.
Area of Science:
- Radiology
- Oncology
- Medical Imaging
Background:
- Bladder cancer (BCa) management requires accurate assessment of human epithelial growth factor receptor 2 (HER2) expression.
- HER2 status is crucial for determining eligibility for targeted therapies.
Purpose of the Study:
- To evaluate the utility of multiparametric MRI in assessing HER2 expression levels in bladder cancer patients.
- To correlate MRI-derived quantitative parameters with HER2 expression status.
Main Methods:
- Retrospective analysis of 76 bladder cancer patients who underwent multiparametric MRI (synthetic MRI, DWI).
- Quantitative parameters including T1, T2, proton density (PD), and apparent diffusion coefficient (ADC) values were extracted.
- Comparison of imaging characteristics and quantitative parameters between HER2-positive and HER2-negative BCa using statistical tests.
Main Results:
- HER2-positive BCa showed significantly higher ADC, T1, and T2 values compared to HER2-negative BCa (P < 0.05).
- The combination of ADC values and tumor grade demonstrated the highest diagnostic performance (AUC = 0.864) for predicting HER2 expression.
Conclusions:
- Multiparametric MRI provides accurate characterization of HER2 expression status in bladder cancer.
- This non-invasive imaging technique can potentially guide individualized anti-HER2 targeted therapy selection.
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