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Correlation Between F-18 Fluorodeoxyglucose Positron Emission Tomography Metabolic Parameters and Dynamic Contrast-Enhanced MRI-Derived Perfusion Data in Patients with Invasive Ductal Breast Carcinoma

  • Breast Oncology
  • Published:
Annals of Surgical Oncology Aims and scope Submit manuscript

Abstract

Purpose

The aim of this study was to establish possible relationships among the metabolic and vascular characteristics of breast cancer using dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) and F-18 fluorodeoxyglucose (FDG) positron emission tomography/computed tomography (PET/CT) imaging.

Methods

Sixty-seven female patients with invasive ductal breast carcinoma (age 32–79 years) who underwent FDG PET/CT and DCE–MRI prior to cancer treatment were included in the study. The maximum standardized uptake value (SUVmax), metabolic tumor volume, total lesion glycolysis (TLG), and heterogeneity factor (HF) were derived from FDG PET/CT. The DCE–MRI parameters K trans, K ep, and V e were obtained for all tumors, and relationships between the metabolic and perfusion parameters were sought via Spearman’s rank correlation analysis. The prognostic significance of clinicopathological and imaging parameters in terms of recurrence-free survival (RFS) was also evaluated.

Results

No significant correlation between perfusion and metabolic parameters (p > 0.05) was found, except between SUVmax and V e (p = 0.001, rho = −0.391). Recurrence developed in 12 of the 67 patients (17.9 %, follow-up period 8–41 months). Age (p = 0.016) and HF (p = 0.027) were significant independent predictors of recurrence-free survival (RFS) upon multivariate analysis. The RFS of patients under 40 years of age was significantly poorer than that of older patients (p < 0.001). Survival of patients with more heterogeneous tumors (HF less than −0.12) was poorer than those with relatively homogenous tumors (p = 0.033).

Conclusions

Tumors with higher levels of glucose metabolism (SUVmax values) exhibited higher tumor cellularities (V e values). Also, of the various metabolic and perfusion parameters available, tumor heterogeneity measured via FDG PET/CT (HF) may be useful in predicting RFS in breast cancer patients.

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Acknowledgment

Jung-Dong Lee (Office of Biostatistics, Ajou University School of Medicine) kindly provided statistical advice for this manuscript.

Disclosures

All authors declare that they have no potential conflicts of interest to declare.

Author information

Authors and Affiliations

  1. Department of Radiology, Ajou University School of Medicine, Suwon, Korea

    Tae Hee Kim MD, PhD & Doo Kyoung Kang MD

  2. Department of Nuclear Medicine and Molecular Imaging, School of Medicine, Ajou University School of Medicine, Suwon, Korea

    Joon-Kee Yoon MD, PhD, Su ** Lee MD, PhD & Young-Sil An MD, PhD

  3. Department of Surgery, Ajou University School of Medicine, Suwon, Korea

    Yong Sik Jung MD

  4. Department of Pathology, Ajou University School of Medicine, Suwon, Korea

    Hyunee Yim MD, PhD

Authors
  1. Tae Hee Kim MD, PhD
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  2. Joon-Kee Yoon MD, PhD
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  3. Doo Kyoung Kang MD
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  4. Su ** Lee MD, PhD
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  6. Hyunee Yim MD, PhD
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  7. Young-Sil An MD, PhD
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Correspondence to Young-Sil An MD, PhD.

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Kim, T.H., Yoon, JK., Kang, D.K. et al. Correlation Between F-18 Fluorodeoxyglucose Positron Emission Tomography Metabolic Parameters and Dynamic Contrast-Enhanced MRI-Derived Perfusion Data in Patients with Invasive Ductal Breast Carcinoma. Ann Surg Oncol 22, 3866–3872 (2015). https://doi.org/10.1245/s10434-015-4526-z

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  • DOI: https://doi.org/10.1245/s10434-015-4526-z

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