Comparison Between 18F-FDG PET Image–Derived Indices for Early Prediction of Response to Neoadjuvant Chemotherapy in Breast Cancer

Journal of Nuclear Medicine

David Groheux¹  Dimitris Visvikis¹  Catherine Cheze-Le Rest¹  Marc Espié¹  Anne de Roquancourt¹  Elif Hindié¹  Antoine Martineau¹  Mathieu Hatt¹  Sylvie Giacchetti¹ 

关键词: breast cancer;    neoadjuvant chemotherapy;    ¹⁸F-FDG;    tumor delineation;    pathological response;   

DOI  :  10.2967/jnumed.112.108837

学科分类：医学（综合）

来源: Society of Nuclear Medicine

【 摘 要 】

The goal of this study was to determine the best predictive factor among image-derived parameters extracted from sequential 18F-FDG PET scans for early tumor response prediction after 2 cycles of neoadjuvant chemotherapy in breast cancer. Methods: 51 breast cancer patients were included. Responder and nonresponder status was determined by histopathologic examination according to the tumor and node Sataloff scale. PET indices (maximum and mean standardized uptake value [SUV], metabolically active tumor volume, and total lesion glycolysis [TLG]), at baseline and their variation (Δ) after 2 cycles of neoadjuvant chemotherapy were extracted from the PET images. Their predictive value was investigated using Mann–Whitney U tests and receiver-operating-characteristic analysis. Subgroup analysis was also performed by considering estrogen receptor (ER)–positive/human epidermal growth factor receptor 2 (HER2)–negative, triple-negative, and HER2-positive tumors separately. The impact of partial-volume correction was also investigated using an iterative deconvolution algorithm. Results: There were 24 pathologic nonresponders and 27 responders. None of the baseline PET parameters was correlated with response. After 2 neoadjuvant chemotherapy cycles, the reduction of each parameter was significantly associated with response, the best prediction of response being obtained with ΔTLG (96% sensitivity, 92% specificity, and 94% accuracy), which had a significantly higher area under the curve (0.91 vs. 0.82, P = 0.01) than did ΔSUVmax (63% sensitivity, 92% specificity, and 77% accuracy). Subgroup analysis confirmed a significantly higher accuracy for ΔTLG than ΔSUV for ER-positive/HER-negative but not for triple-negative and HER2-positive tumors. Partial-volume correction had no impact on the predictive value of any of the PET image–derived parameters despite significant changes in their absolute values. Conclusion: Our results suggest that the reduction after 2 neoadjuvant chemotherapy cycles of the metabolically active volume of primary tumor measurements such as ΔTLG predicts histopathologic tumor response with higher accuracy than does ΔSUV measurements, especially for ER-positive/HER2-negative breast cancer. These results should be confirmed in a larger group of patients as they may potentially increase the clinical value and efficiency of 18F-FDG PET for early prediction of response to neoadjuvant chemotherapy.

【 授权许可】

Unknown