Therapeutic Advances in Medical Oncology (Oct 2023)

Intra-individual qualitative and quantitative comparison of [Ga]Ga-DOTATATE PET/CT and PET/MRI

  • Géraldine Lens,
  • Niloefar Ahmadi Bidakhvidi,
  • Vincent Vandecaveye,
  • Steven Grauwels,
  • Annouschka Laenen,
  • Wies Deckers,
  • Ronald Peeters,
  • Raphaëla C. Dresen,
  • Jeroen Dekervel,
  • Chris Verslype,
  • Kristiaan Nackaerts,
  • Paul M. Clement,
  • Eric Van Cutsem,
  • Michel Koole,
  • Karolien Goffin,
  • Koen Van Laere,
  • Christophe M. Deroose

DOI
https://doi.org/10.1177/17588359231189133
Journal volume & issue
Vol. 15

Abstract

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Background: Somatostatin receptor (SSTR) positron emission tomography (PET) is a cornerstone of neuroendocrine tumor (NET) management. Hybrid PET/magnetic resonance imaging (MRI) is now available for NET-imaging, next to PET/computed tomography (CT). Objectives: To determine whether CT or MRI is the best hybrid partner for [ 68 Ga]Ga-DOTATATE PET. Design: Monocentric, prospective study. Methods: Patients received a same-day [ 68 Ga]Ga-DOTATATE PET/CT and subsequent PET/MRI, for suspicion of NET, (re)staging or peptide receptor radionuclide therapy-selection. The union (PET union ) of malignant lesions detected on PET CT and PET MRI was the reference standard. Concordance of detection of malignant lesions in an organ was measured between PET union and CT and PET union and MRI. Seven bins were used to categorize the number of malignant lesions, containing following ordinal variables: 0, 1, 2–5, 6–10, 11–20, >20 countable and diffuse/uncountable. The difference in number of malignant lesions was obtained as the difference in bin level (‘Δbin’) between PET union and CT and PET union and MRI with a Δbin closer to zero implying a higher concordance rate. Results: Twenty-nine patients were included. Primary tumors included 17 gastroenteropancreatic-NETs, 1 colon neuroendocrine carcinoma, 7 lung-NETs and 2 meningiomas. Patient level concordance with PET union was 96% for MRI and 67% for CT ( p = 0.039). Organ level concordance with PET union was 74% for MRI and 40% for CT ( p < 0.0001). In bone, there was a higher concordance rate for MRI compared to CT, 92% and 33%, respectively ( p = 0.016). Overall, a mean Δbin of 0.5 ± 1.1 for PET union /MRI and 1.4 ± 1.2 for PET union /CT ( p < 0.0001) was noted. In liver, a mean Δbin of 0.0 ± 1.1 for PET union /MRI and 1.7 ± 1.2 for PET union /CT was observed ( p = 0.0078). In bone, a mean Δbin closer to zero was observed for PET union /MRI compared to PET union /CT, 0.6 ± 1.4 and 2.0 ± 1.5, respectively ( p = 0.0098). Conclusions: Compared to SSTR PET/CT, SSTR PET/MRI had a higher patient and organ level concordance for malignant tumoral involvement and number of malignant lesions, with a clear added value in bone and liver specifically.