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18F-FACBC PET/MRI in diagnostic assessment and neurosurgery of gliomas

Sammendrag

Purpose This pilot study aimed to evaluate the amino acid tracer 18F-FACBC with simultaneous PET/MRI in diagnostic assessment and neurosurgery of gliomas. Materials and Methods Eleven patients with suspected primary or recurrent low- or high-grade glioma received an 18F-FACBC PET/MRI examination before surgery. PET and MRI were used for diagnostic assessment, and for guiding tumor resection and histopathological tissue sampling. PET uptake, tumor-to-background ratios (TBRs), time-activity curves, as well as PET and MRI tumor volumes were evaluated. The sensitivities of lesion detection and to detect glioma tissue were calculated for PET, MRI, and combined PET/MRI with histopathology (biopsies for final diagnosis and additional image-localized biopsies) as reference. Results Overall sensitivity for lesion detection was 54.5% (95% confidence interval [CI], 23.4–83.3) for PET, 45.5% (95% CI, 16.7–76.6) for contrast-enhanced MRI (MRICE), and 100% (95% CI, 71.5–100.0) for combined PET/MRI, with a significant difference between MRICE and combined PET/MRI (P = 0.031). TBRs increased with tumor grade (P = 0.004) and were stable from 10 minutes post injection. PET tumor volumes enclosed most of the MRICE volumes (>98%) and were generally larger (1.5–2.8 times) than the MRICE volumes. Based on image-localized biopsies, combined PET/MRI demonstrated higher concurrence with malignant findings at histopathology (89.5%) than MRICE (26.3%). Conclusions Low- versus high-grade glioma differentiation may be possible with 18F-FACBC using TBR. 18F-FACBC PET/MRI outperformed MRICE in lesion detection and in detection of glioma tissue. More research is required to evaluate 18F-FACBC properties, especially in grade II and III tumors, and for different subtypes of gliomas.
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Vitenskapelig artikkel

Språk

Engelsk

Forfatter(e)

  • Anna Maria Karlberg
  • Erik Magnus Berntsen
  • Håkon Johansen
  • Anne Jarstein Skjulsvik
  • Ingerid Reinertsen
  • Yan Dai Hong
  • Yiming Xiao
  • Hassan Rivaz
  • Per Borghammer
  • Ole Solheim
  • Live Eikenes

Institusjon(er)

  • SINTEF Digital / Helse
  • Aarhus Universitetshospital
  • St. Olavs Hospital HF
  • Norges teknisk-naturvitenskapelige universitet
  • Canada
  • Western University
  • Concordia University

År

2019

Publisert i

Clinical Nuclear Medicine

ISSN

0363-9762

Årgang

44

Hefte nr.

7

Side(r)

550 - 559

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