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Histomolecular Validation of [18F]-FACBC in Gliomas Using Image-Localized Biopsies.
Vindstad, Benedikte Emilie; Skjulsvik, Anne Jarstein; Pedersen, Lars Kjelsberg; Berntsen, Erik Magnus; Solheim, Ole Skeidsvoll; Ingebrigtsen, Tor; Reinertsen, Ingerid; Johansen, Håkon; Eikenes, Live; Karlberg, Anna Maria.
Afiliação
  • Vindstad BE; Department of Circulation and Medical Imaging, Norwegian University of Science and Technology, 7030 Trondheim, Norway.
  • Skjulsvik AJ; Department of Pathology, St. Olavs Hospital, Trondheim University Hospital, 7030 Trondheim, Norway.
  • Pedersen LK; Department of Clinical and Molecular Medicine, Norwegian University of Science and Technology, 7030 Trondheim, Norway.
  • Berntsen EM; Department of Neurosurgery, Ophthalmology and Otorhinolaryngology, University Hospital of North Norway, 9019 Tromsø, Norway.
  • Solheim OS; Department of Circulation and Medical Imaging, Norwegian University of Science and Technology, 7030 Trondheim, Norway.
  • Ingebrigtsen T; Department of Radiology and Nuclear Medicine, St. Olavs Hospital, Trondheim University Hospital, 7030 Trondheim, Norway.
  • Reinertsen I; Department of Neurosurgery, St. Olavs Hospital, Trondheim University Hospital, 7030 Trondheim, Norway.
  • Johansen H; Department of Neuroscience, Norwegian University of Science and Technology, 7030 Trondheim, Norway.
  • Eikenes L; Department of Neurosurgery, Ophthalmology and Otorhinolaryngology, University Hospital of North Norway, 9019 Tromsø, Norway.
  • Karlberg AM; Department of Clinical Medicine, Faculty of Health Sciences, UiT The Arctic University of Norway, 9019 Tromsø, Norway.
Cancers (Basel) ; 16(14)2024 Jul 18.
Article em En | MEDLINE | ID: mdl-39061219
ABSTRACT

BACKGROUND:

Gliomas have a heterogeneous nature, and identifying the most aggressive parts of the tumor and defining tumor borders are important for histomolecular diagnosis, surgical resection, and radiation therapy planning. This study evaluated [18F]-FACBC PET for glioma tissue classification.

METHODS:

Pre-surgical [18F]-FACBC PET/MR images were used during surgery and image-localized biopsy sampling in patients with high- and low-grade glioma. TBR was compared to histomolecular results to determine optimal threshold values, sensitivity, specificity, and AUC values for the classification of tumor tissue. Additionally, PET volumes were determined in patients with glioblastoma based on the optimal threshold. [18F]-FACBC PET volumes and diagnostic accuracy were compared to ce-T1 MRI. In total, 48 biopsies from 17 patients were analyzed.

RESULTS:

[18F]-FACBC had low uptake in non-glioblastoma tumors, but overall higher sensitivity and specificity for the classification of tumor tissue (0.63 and 0.57) than ce-T1 MRI (0.24 and 0.43). Additionally, [18F]-FACBC TBR was an excellent classifier for IDH1-wildtype tumor tissue (AUC 0.83, 95% CI 0.71-0.96). In glioblastoma patients, PET tumor volumes were on average eight times larger than ce-T1 MRI volumes and included 87.5% of tumor-positive biopsies compared to 31.5% for ce-T1 MRI.

CONCLUSION:

The addition of [18F]-FACBC PET to conventional MRI could improve tumor classification and volume delineation.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article