Case Study: FAPI PET/CT Identifies Hidden Contralateral DCIS and Supraclavicular Metastasis, Informing Neoadjuvant Treatment in Synchronous Bilateral Breast Cancer - Report - MDSpire
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Case Study: FAPI PET/CT Identifies Hidden Contralateral DCIS and Supraclavicular Metastasis, Informing Neoadjuvant Treatment in Synchronous Bilateral Breast Cancer
This case study demonstrates the superior sensitivity of FAPI PET/CT over traditional FDG PET/CT in detecting low-metabolic malignancies, such as DCIS, and accurately staging regional nodal involvement in a patient with synchronous bilateral breast cancer. FAPI PET/CT significantly altered the clinical management and treatment response monitoring.
Background
Accurate staging in breast cancer is crucial for effective management and treatment planning. Traditional imaging methods, like FDG PET/CT, may miss low-glucose metabolizing tumors and small metastases, leading to potential under-staging. The introduction of FAPI PET/CT offers a promising alternative by targeting cancer-associated fibroblasts, potentially improving diagnostic accuracy.
Data Highlights
Imaging Modality
Uptake (SUVmax)
Left Breast
19.45
Left Axillary Nodes
15.12
Supraclavicular Nodes
14.83
Right Breast (DCIS)
15.06
Key Findings
FAPI PET/CT identified a contralateral DCIS that was missed by FDG PET/CT.
FAPI PET/CT revealed occult metastases in the left axillary and supraclavicular lymph nodes.
Post-neoadjuvant therapy, FAPI PET/CT showed a drop in uptake, indicating a complete response.
FAPI PET/CT provides higher sensitivity for low-metabolic malignancies compared to FDG PET/CT.
Accurate staging with FAPI PET/CT can significantly influence treatment decisions in breast cancer management.
Clinical Implications
The findings suggest that FAPI PET/CT could be integrated into clinical practice for improved staging and monitoring of breast cancer, particularly in cases where FDG PET/CT may be insufficient. This could lead to more tailored treatment strategies and better patient outcomes.
Conclusion
FAPI PET/CT demonstrates enhanced sensitivity in detecting low-metabolic breast cancer lesions, which is critical for accurate staging and effective treatment planning. Its role in clinical decision-making warrants further investigation.