Published December 2019 | Version v1
Journal article

SUV calculation in breast cancer: which normalization should be applied when using F-18-FDG PET?

  • 1. Univ Nice Sophia Antipolis, TIRO UMR E 4320, Nice (France)
  • 2. Univ Cote d'Azur, Ctr Antoine Lacassagne, Dept Nucl Med, Nice (France)
  • 3. Univ Bourgogne Franche Comte, Natl Ctr Sci Res, Le2i FRE2005, CNRS, Dijon (France)
  • 4. Le Bocage Univ Hosp, Dept Imaging, Dijon (France)
  • 5. Ctr GF Leclerc, Dept Nucl Med, Dijon (France)
  • 6. Ctr GF Leclerc, Dept Biol et Pathol, Dijon (France)
  • 7. Ctr GF Leclerc, Dept Nucl Med, Dijon, (France)
  • 8. Ctr GF Leclerc, Dept Med Oncol, Dijon (France)

Description

Background: When using F-18-FDG PET, glucose metabolism quantification is affected by various factors. We aimed to investigate the benefit of different standardized uptake value (SUV) normalizations to improve the accuracy of F-18-FDG uptake to predict breast cancer aggressiveness and response to treatment. Methods: Two hundred fifty-two women with locally advanced breast cancer treated with neoadjuvant chemotherapy (NAC) were included. Women underwent F-18-FDG PET before and after the first course of NAC. Glucose serum levels. patient heights and weights were recorded at the time of each PET exam. Four different procedures for SUV normalization of the primary tumor were used: by body weight (SUVBW) by blood glucose level (SUVG), by lean body mass (SUL) and then corrected for both lean body mass and blood glucose level (SULG). Results: At baseline, SUL was significantly lower than SUVBW (5.9 #+-# 4.0 and 9.5 #+-# 6.5, respectively; P#<=#0.0001), whereas SUVG and SUVBW were not significantly different (9.7 #+-# 6.4 and 9.5 #+-# 6.5, respectively; P=0.67). Concerning SUV changes (Delta SUV), the different normalizations methods did not induce significant quantitative differences. The correlation coefficients were high between the four normalizations methods of SUV1, SUV2 and Delta SUVB (R>0.95; P#<=#0.0001). High baseline SUVBW measures were positively correlated with the biological tumor characteristics of aggressiveness and proliferation (P#<=#0.001): ductal carcinoma, high tumor grading, high mitotic activity, negative estrogen receptor status and the TNBC subtype. Delta SUVBW was highly predictive of pCR (AUC=0.76 on ROC curve analysis; P#<=#0.0001). The different SUV normalizations yields identical statistical results and AUC to predict tumor biological aggressiveness and response to therapy. Conclusions: In the present setting, SUVBW and SUL can be considered as robust measures and be used in future multicenter trials. The additional normalization of SUV by glycemia involves stringent methodological procedures to avoid biased risk measurements and offers no statistical advantages. (authors)

Availability note (English)

Available from doi: http://dx.doi.org/10.23736/s1824-4785.18.03006-6

Additional details

Publishing Information

Journal Title
Quarterly Journal of Nuclear Medicine and Molecular Imaging (Print)
Journal Volume
63
Journal Issue
no.4
Journal Page Range
p. 399-407
ISSN
1824-4785