Optimal 68Ga-PSMA and 18F-PSMA PET window levelling for gross tumour volume delineation in primary prostate cancer

Cédric Draulans, Robin De Roover, Uulke A van der Heide, Linda Kerkmeijer, Robert J Smeenk, Floris Pos, Wouter V Vogel, James Nagarajah, Marcel Janssen, Sofie Isebaert, Frederik Maes, Cindy Mai, Raymond Oyen, Steven Joniau, Martina Kunze-Busch, Karolien Goffin, Karin Haustermans

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

Purpose: This study proposes optimal tracer-specific threshold-based window levels for PSMA PET–based intraprostatic gross tumour volume (GTV) contouring to reduce interobserver delineation variability. Methods: Nine 68Ga-PSMA-11 and nine 18F-PSMA-1007 PET scans including GTV delineations of four expert teams (GTV manual) and a majority-voted GTV (GTV majority) were assessed with respect to a registered histopathological GTV (GTV histo) as the gold standard reference. The standard uptake values (SUVs) per voxel were converted to a percentage (SUV%) relative to the SUV max. The statistically optimised SUV% threshold (SOST) was defined as those that maximises accuracy for threshold-based contouring. A leave-one-out cross-validation receiver operating characteristic (ROC) curve analysis was performed to determine the SOST for each tracer. The SOST analysis was performed twice, first using the GTV histo contour as training structure (GTV SOST-H) and second using the GTV majority contour as training structure (GTV SOST-MA) to correct for any limited misregistration. The accuracy of both GTV SOST-H and GTV SOST-MA was calculated relative to GTV histo in the ‘leave-one-out’ patient of each fold and compared with the accuracy of GTV manual. Results: ROC curve analysis for 68Ga-PSMA-11 PET revealed a median threshold of 25 SUV% (range, 22–27 SUV%) and 41 SUV% (40–43 SUV%) for GTV SOST-H and GTV SOST-MA, respectively. For 18F-PSMA-1007 PET, a median threshold of 42 SUV% (39–45 SUV%) for GTV SOST-H and 44 SUV% (42–45 SUV%) for GTV SOST-MA was found. A significant pairwise difference was observed when comparing the accuracy of the GTV SOST-H contours with the median accuracy of the GTV manual contours (median, − 2.5%; IQR, − 26.5–0.2%; p = 0.020), whereas no significant pairwise difference was found for the GTV SOST-MA contours (median, − 0.3%; IQR, − 4.4–0.6%; p = 0.199). Conclusions: Threshold-based contouring using GTV majority-trained SOSTs achieves an accuracy comparable with manual contours in delineating GTV histo. The median SOSTs of 41 SUV% for 68Ga-PSMA-11 PET and 44 SUV% for 18F-PSMA-1007 PET form a base for tracer-specific window levelling. Trial registration: Clinicaltrials.gov;

Original languageEnglish
Pages (from-to)1211-1218
Number of pages8
JournalEuropean Journal of Nuclear Medicine and Molecular Imaging
Volume48
Issue number4
Early online date6 Oct 2020
DOIs
Publication statusPublished - Apr 2021

Keywords

  • Delineation
  • Focal boost
  • PSMA PET
  • Prostatic neoplasms
  • Radiotherapy

Fingerprint

Dive into the research topics of 'Optimal 68Ga-PSMA and 18F-PSMA PET window levelling for gross tumour volume delineation in primary prostate cancer'. Together they form a unique fingerprint.

Cite this