Predictive ability of 18F-fluorodeoxyglucose positron emission tomography/computed tomography for pathological complete response and prognosis after neoadjuvant chemotherapy in triple-negative breast cancer patients

• Main Authors: Sachiko Kiyoto, Yoshifumi Sugawara, Kohei Hosokawa, Rieko Nishimura, Natsumi Yamashita, Shozo Ohsumi, Teruhito Mochizuki
• Format: Article
• Language: English
• Published: Mashhad University of Medical Sciences 2016-01-01
• Series: Asia Oceania Journal of Nuclear Medicine and Biology
• Subjects: FDG-PET/CT; Triple negative breast cancer; Neoadjuvant chemotherapy; Metabolic response; prognosis
• Online Access: http://aojnmb.mums.ac.ir/pdf_5619_db9160b850be2ee4fae85566a4d7c36a.html

Objective The mortality of patients with locally advanced triple-negative breast cancer (TNBC) is high, and pathological complete response (pCR) to neoadjuvant chemotherapy (NAC) is associated with improved prognosis. This retrospective study was designed and powered to investigate the ability of 18F-fluorodeoxyglucose positron emission tomography/computed tomography (FDG-PET/CT) to predict pathological response to NAC and prognosis after NAC.Methods The data of 32 consecutive women with clinical stage II or III TNBC from January 2006 to December 2013 in our institution who underwent FDG-PET/CT at baseline and after NAC were retrospectively analyzed. The maximum standardized uptake value (SUVmax) in the primary tumor at each examination and the change in SUVmax (ΔSUVmax) between the two scans were measured. Correlations between PET parameters and pathological response, and correlations between PET parameters and disease-free survival (DFS) were examined.Results At the completion of NAC, surgery showed pCR in 7 patients, while 25 had residual tumor, so-called non-pCR. Median follow-up was 39.0 months. Of the non-pCR patients, 9 relapsed at 3 years. Of all assessed clinical, biological, and PET parameters, N-stage, clinical stage, and ΔSUVmax were predictors of pathological response (p=0.0288, 0.0068, 0.0068; Fischer’s exact test). The cut-off value of ΔSUVmax to differentiate pCR evaluated by the receiver operating characteristic (ROC) curve analysis was 81.3%. Three-year disease-free survival (DFS) was lower in patients with non-pCR than in patients with pCR (p=0.328, log-rank test). The cut-off value of ΔSUVmax to differentiate 3-year DFS evaluated by the ROC analysis was 15.9%. In all cases, 3-year DFS was lower in patients with ΔSUVmax