scholarly journals Value of 18F-FDG PET/CT for predicting axillary pathologic complete response following neoadjuvant systemic therapy in breast cancer patients: emphasis on breast cancer subtype

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Cornelis M. de Mooij ◽  
Cristina Mitea ◽  
Felix M. Mottaghy ◽  
Marjolein L. Smidt ◽  
Thiemo J. A. van Nijnatten

Abstract Background Neoadjuvant systemic therapy (NST) is a widely accepted initial treatment modality that can lead to pathologic downstaging of the axillary disease burden in breast cancer patients. Axillary response as well as baseline 18F-fluorodeoxyglucose (18F-FDG) uptake on positron emission tomography with computed tomography (PET/CT) differ between breast cancer subtypes. The value of baseline 18F-FDG PET/CT in predicting axillary response to NST is not yet established, possibly since breast cancer subtype was not taken into account. The purpose of this study was to investigate the value of baseline 18F-FDG PET/CT in predicting axillary response to NST with a specific emphasis on subtype. Methods PET-parameters derived from the primary tumor as well as the most FDG-avid axillary lymph node were measured on baseline 18F-FDG PET/CT. Overall imaging findings were compared with the gold standard of histopathology of the axillary surgery specimen. Analyses for ER-positive/HER2-negative were performed separately from HER2-positive and TN patients. In addition, separate analyses for clinically node-positive patients were performed. Results Sixty-six patients with 69 primary tumors were included in this study. Thirty-three axillae contained ER-positive/HER2-negative, 16 HER2-positive, and 20 TN breast cancer. No significant difference in PET-parameters between patients with axillary residual disease and axillary pathologic complete response were found for ER-positive/HER2-negative breast cancer. In the combined HER2-positive/TN subgroup, the SUVmax was significantly lower in patients without residual axillary disease in both the entire cohort and in patients with clinically node-positive disease. In this combined subgroup, a cut-off of 4.89 SUVmax measured on the most FDG-avid axillary lymph node could predict residual axillary disease with a sensitivity, specificity, PPV, and NPV of 90%, 69%, 53%, and 95%, respectively. Conclusions Predicting axillary response following NST with baseline 18F-FDG PET/CT can be performed when focusing on breast cancer subtypes. The easily computed PET-parameter SUVmax can predict axillary response in HER2-positive and TN breast cancer. This study adds to the accumulating evidence that studies investigating the value of 18F-FDG PET/CT in breast cancer should always take subtypes into account.

The Breast ◽  
2013 ◽  
Vol 22 (5) ◽  
pp. 691-697 ◽  
Author(s):  
Bas B. Koolen ◽  
Kenneth E. Pengel ◽  
Jelle Wesseling ◽  
Wouter V. Vogel ◽  
Marie-Jeanne T.F.D. Vrancken Peeters ◽  
...  

2019 ◽  
Vol 37 (15_suppl) ◽  
pp. e12095-e12095
Author(s):  
Laura Vincent ◽  
Clémentine Jankowski ◽  
Marion Cortet ◽  
Laurent Arnould ◽  
Sylvain Ladoire ◽  
...  

e12095 Background: The aim of this study was to compare the value of 18F-fluorodesoxyglucose positron emission tomography (18F-FDG PET/CT) with CGFL/Curie nomogram to predict a pathologic complete response (pCR) after neoadjuvant chemotherapy (NAC) in women with human epidermal growth factor 2 (HER2)-positive breast cancer treated by trastuzumab. Methods: Fifty-one women with HER2-positive breast cancer treated with trastuzumab plus taxane-based NAC, were retrospectively included from January 2005 to December 2015. For 18F-FDG PET/CT, the analyzed predictor was the maximum standardized uptake value of the primary tumor and axillary nodes after the first course of NAC (PET2.SUVmax). pCR was defined by no residual infiltrative tumor but in situ tumor was accepted. Accuracy of CGFL/Curie nomogram and PET2.SUVmax was evaluated measuring sensitivity (Se), specificity (Sp), positive predictive value (PPV) and negative predictive value (NPV). For each predictor, receiver operating characteristic (ROC) curve was created. To evaluate the correlation between predictors, the Spearman coefficient was calculated. Combined prediction was evaluated testing predictor’s associations. Results: For CGFL/Curie nomogram’s performances, Se, Sp, PPV and NPV were respectively: 76% (CI95%: 58-90%), 57% (CI95%: 43-66%), 55% (CI95%: 42-65), 77% (CI95%: 59-90%). For PET2.SUVmax’s performances, Se, Sp, PPV and NPV were respectively: 67% (CI95%: 48-81%), 77% (CI95%: 64-97%), 67% (CI95%: 48-82%), 77% (CI95%: 64-87%). ROC curves for these predictors were similar; the areas under the curve were 0.6 (CI95%: 0.56-0.64) for PET2.SUVmax and 0.55 (CI95%: 0.50-0.59) for CGFL/Curie nomogram. Spearman coefficient was 0.23. Combined prediction was more efficient with Se at 80%, VPN at 76%, Sp at 78% and VPP at 81 %. Conclusions: CGFL/Curie nomogram and PET2.SUVmax were two efficient predictors of pCR in patients with HER2-positive breast cancer. Combined prediction has an improved accuracy.


BMC Cancer ◽  
2020 ◽  
Vol 20 (1) ◽  
Author(s):  
In Hee Lee ◽  
Soo Jung Lee ◽  
Jeeyeon Lee ◽  
Jin Hyang Jung ◽  
Ho Yong Park ◽  
...  

Abstract Background Pathologic complete response (pCR) after neoadjuvant chemotherapy (NAC) is a predictor of improved outcomes in breast cancer. In patients with hormone receptor (HR)-positive, human epidermal growth factor receptor 2 (HER2) -negative breast cancer, the response to NAC is variable and mostly limited. This study was an investigation of the predictive relevance of parameters of 18F-FDG PET/CT for the pCR to NAC in patients with HR-positive, HER2–negative breast cancer. Methods: AH total of 109 consecutive HR-positive and HER2-negative breast cancer patients who were treated with NAC were enrolled in this prospective cohort study. The relationships between pretreatment 18F-FDG PET/CT and clinical outcomes including pathologic response to NAC were evaluated. Results: All patients finished their planned NAC cycles and eight patients (7.3%) achieved pCR. In the receiver operating characteristic (ROC) curve analysis, pSUVmax exhibited high sensitivity and specificity for predicting pCR. Furthermore, multivariate logistic regression analysis revealed pSUVmax as a predictive factor for pCR (hazard ratio = 17.452; 95% CI = 1.847–164.892; p = 0.013). Conclusion The results of this study suggest that 18F-FDG PET/CT pSUVmax is a predictive factor for pCR of HR-positive, HER2-negative breast cancer to NAC.


2021 ◽  
Vol 39 (15_suppl) ◽  
pp. e15026-e15026
Author(s):  
Cc Gong ◽  
Cheng Liu ◽  
Zhonghua Tao ◽  
Jian Zhang ◽  
Leiping Wang ◽  
...  

e15026 Background: Heterogeneity of 18F-fluorodeoxyglucose (FDG) uptake is a promising marker for predicting response to treatment. This study aimed to evaluate the ability of pretreatment positron emission tomography/computed tomography (PET/CT) 18F-FDG-based heterogeneity to predict the response to pyrotinib in patients with human epidermal growth factor receptor 2 (HER2)-positive metastatic breast cancer (MBC). Methods: Patients with MBC in the Fudan University Shanghai Cancer Center who underwent whole-body 18F-FDG PET/CT before the initiation of pyrotinib was included. The intertumoral and intratumoral heterogeneity indexes (HI-inter and HI-intra, respectively), maximum standardized uptake value (SUVmax), total lesion glycolysis (TLG), and metabolic tumor volume (MTV) on the baseline PET/CT were assessed. Progression-free survival (PFS) was estimated by the Kaplan-Meier method and compared by log-rank test. Time-dependent receiver operating characteristic (ROC) curve analysis was performed, and the predictive accuracies of all markers were evaluated by plotting the cumulative area under the ROC curve (AUC) over time. Results: A total of 22 patients were included in this study. The median PFS of patients with a high HI-intra (> 1.9) was 6.6 months, whereas that of patients with a low HI-intra was 13.4 months (p = 0.044). The HI-inter was able to discriminate patients as well as the coefficient of variance. Univariate analysis showed that patients with a higher HI-inter tended to have worse PFS (10.6 months vs. 13.4 months, p = 0.067). Higher SUVmax and TLG were also associated with worse PFS. ROC curve analysis confirmed the predictive value of the HI-inter and HI-intra. TLG had the highest accuracy in predicting PFS (AUC = 0.87), followed by HI-inter (AUC = 0.86), SUVmax (AUC = 0.85), HI-intra (AUC = 0.80), mean standardized uptake value (AUC = 0.63), and MTV (AUC = 0.60). Conclusions: Intratumoral and intertumoral heterogeneities in metastatic lesions on pretreatment 18F-FDG PET/CT could predict response to pyrotinib treatment in patients with HER2-positive breast cancer, which could provide information to guide treatment decisions.


2014 ◽  
Vol 24 (1) ◽  
pp. 1173-1184
Author(s):  
Jin Kyoung Oh ◽  
Yong An Chung ◽  
Yeon Sil Kim ◽  
Hae Myung Jeon ◽  
Sung Hoon Kim ◽  
...  

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