SUV (PET) calibration

At MAASTRO Clinic, we use 18F-FDG-PET imaging with automatic SUV thresholding to accurately define tumour targets in non-small-cell lung cancer. Refer to the following links for publications of these procedures [1,2,3].

For a multicentric in silico trial that is using PET datasets from multiple institutions, it is essential that imaging protocols are synchronised, such that the auto-delineation algorithms used in the different institutions create equivalent contours.

We use a method with a cylindrical phantom encompassing spheres of different diameters. The spheres and cylinder are filled with different 18F-FDG concentrations such that a number of signal-to-background ratios is obtained. The results from different scanners are analysed using dedicated software for automated delineation based on SUV levels. Individual threshold curves then guarantee that the correct volumes are determined on the different scanners.

Please refer to the following publication for more information of this method [4].





  1. Van Baardwijk A, Bosmans G, Boersma L, et al. PET-CT-based auto-contouring in non-small-cell lung cancer correlates with pathology and reduces interobserver variability in the delineation of the primary tumor and involved nodal volumes. Int J Radiat Oncol Biol Phys 2007;68:771-778
  2. Stroom J, Blaauwgeers H, van Baardwijk A, et al. Feasibility of pathology-correlated lung imaging for accurate target definition of lung tumors. Int J Radiat Oncol Biol Phys 2007;69:267-275
  3. Van Baardwijk A, Bosmans G, van Suylen RJ, et al. Correlation of intra-tumour heterogeneity on 18F-FDG PET with pathologic features in non-small cell lung cancer: a feasibility study. Radiother Oncol 2008;87:55-58
  4. Ollers M, Bosmans G, van Baardwijk A, et al. The integration of PET-CT scans from different hospitals into radiotherapy treatment planning. Radiother Oncol 2008;87:142-146