Standardized uptake value of 18F-fluorodeoxyglucose positron emission tomography for prediction of tumor recurrence in breast cancer beyond tumor burden

Sung Gwe Ahn, Jong Tae Park, Hak Min Lee, Hak Woo Lee, Tae Joo Jeon, Kyunghwa Han, Seung Ah Lee, Seung Myung Dong, Young Hoon Ryu, Eun Ju Son, Joon Jeong

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7 Citations (Scopus)

Abstract

Introduction: 18F-fluorodeoxyglucose positron emission tomography (FDG-PET) can reveal the metabolic activity of malignant tumors. Recent advances gained from molecular studies suggest that tumor biology can be a good predictor of prognosis in breast cancer. We compared the ability of maximum standardized uptake values (SUVmax) derived by FDG-PET with tumor burden in predicting tumor recurrence for patients with breast cancer. Methods: 496 patients with breast cancer who underwent preoperative FDG-PET between April 2004 and May 2009 were retrospectively identified. SUVmax was obtained by FDG-PET, and the cutoff point was defined using a time-dependent receiver operating characteristic curve for recurrence-free survival (RFS). The primary endpoint was RFS. Results: In multivariate analysis for RFS, SUVmax carried independent prognostic significance (hazard ratio, 2.39; 95% confidence interval, 1.20 to 4.76; P = 0.012). When the patients were classified into four groups according to the combined factors of tumor size (≤2 cm versus >2 cm) and SUVmax (<4 versus ≥4), RFS differed significantly (P < 0.001). Similarly, SUVmax had prognostic value in combination with nodal status (negative versus positive) or stage (I versus II and III) (P < 0.001 and P = 0.001, respectively). In hormone receptor-positive disease, SUVmax remained a significant prognostic factor for RFS based on multivariate analysis. Conclusions: Our results highlight the prognostic value of FDG-PET in prediction of tumor relapse for patients with breast cancer. Particularly in patients with hormone receptor-positive disease, the tumor metabolic information provided by FDG-PET is more significantly correlated with prognosis than tumor burden.

Original languageEnglish
Article number502
JournalBreast Cancer Research
Volume16
Issue number1
DOIs
Publication statusPublished - 2014 Dec 31

All Science Journal Classification (ASJC) codes

  • Oncology
  • Cancer Research

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