High Spatial Resolution Digital Positron Emission Tomography Images With Dedicated Source-to-background Algorithm for Radiotherapy Planning

Anticancer Res. 2020 May;40(5):2567-2572. doi: 10.21873/anticanres.14227.

Abstract

Background/aim: To evaluate the utility of high spatial resolution digital positron emission tomography images with the source-to-background ratio (SBR) algorithm for gross tumour volume (GTV) delineation.

Materials and methods: The bowl and spheres (10-37 mm) were filled with fluoro-2-deoxy-D-glucose to achieve 4-16 times background radioactivity. The images were reconstructed using three isotropic voxel sizes. The SBR and percentage threshold (TH) to SUVmax were calculated. The plots between SBR and TH were fitted using a regression equation. The contoured volumes (CVs) of the spheres were calculated by applying TH.

Results: TH was 38.6+75.0/SBR for 4 mm voxel size; 39.6+37.0/SBR for 2 mm; and 38.8+35.2/SBR for 1 mm. The mean relative errors between CV and true volume for 4, 2, and 1 mm voxel sizes were 15%, 7%, and 7%, respectively.

Conclusion: The present technique is useful for GTV delineation with reduced contouring error.

Keywords: Positron emission tomography; auto-delineation; digital positron emission tomography; gross tumour volume; radiotherapy planning.

MeSH terms

  • Algorithms*
  • Humans
  • Image Processing, Computer-Assisted*
  • Imaging, Three-Dimensional*
  • Neoplasms / diagnostic imaging
  • Neoplasms / pathology
  • Positron Emission Tomography Computed Tomography
  • Positron-Emission Tomography* / methods
  • Radiotherapy Planning, Computer-Assisted* / methods