Baseline 18F-FDG PET image-derived parameters for therapy response prediction in oesophageal cancer

  • Mathieu Hatt
  • Dimitris Visvikis
  • Olivier Pradier
  • Catherine Cheze-le Rest
Original Article

Abstract

Purpose

The objectives of this study were to investigate the predictive value of tumour measurements on 2-deoxy-2-[18F]fluoro-D-glucose (18F-FDG) positron emission tomography (PET) pretreatment scan regarding therapy response in oesophageal cancer and to evaluate the impact of tumour delineation strategies.

Methods

Fifty patients with oesophageal cancer treated with concomitant radiochemotherapy between 2004 and 2008 were retrospectively considered and classified as complete, partial or non-responders (including stable and progressive disease) according to Response Evaluation Criteria in Solid Tumors (RECIST). The classification of partial and complete responders was confirmed by biopsy. Tumours were delineated on the 18F-FDG pretreatment scan using an adaptive threshold and the automatic fuzzy locally adaptive Bayesian (FLAB) methodologies. Several parameters were then extracted: maximum and peak standardized uptake value (SUV), tumour longitudinal length (TL) and volume (TV), SUVmean, and total lesion glycolysis (TLG = TV × SUVmean). The correlation between each parameter and response was investigated using Kruskal-Wallis tests, and receiver-operating characteristic methodology was used to assess performance of the parameters to differentiate patients.

Results

Whereas commonly used parameters such as SUV measurements were not significant predictive factors of the response, parameters related to tumour functional spatial extent (TL, TV, TLG) allowed significant differentiation of all three groups of patients, independently of the delineation strategy, and could identify complete and non-responders with sensitivity above 75% and specificity above 85%. A systematic although not statistically significant trend was observed regarding the hierarchy of the delineation methodologies and the parameters considered, with slightly higher predictive value obtained with FLAB over adaptive thresholding, and TLG over TV and TL.

Conclusion

TLG is a promising predictive factor of concomitant radiochemotherapy response with statistically higher predictive value than SUV measurements in advanced oesophageal cancer.

Keywords

Oesophageal cancer Response to therapy PET scan Tumour volume Total lesion glycolysis 

Copyright information

© Springer-Verlag 2011

Authors and Affiliations

  • Mathieu Hatt
    • 1
  • Dimitris Visvikis
    • 1
  • Olivier Pradier
    • 1
    • 2
  • Catherine Cheze-le Rest
    • 1
  1. 1.LaTIM, INSERM U650CHU MorvanBrestFrance
  2. 2.Department of RadiotherapyCHU MorvanBrestFrance

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