Literature DB >> 31107743

18F-FACBC PET/MRI in Diagnostic Assessment and Neurosurgery of Gliomas.

Anna Karlberg, Erik Magnus Berntsen, Håkon Johansen, Anne Jarstein Skjulsvik, Ingerid Reinertsen1, Hong Yan Dai2, Yiming Xiao3, Hassan Rivaz, Per Borghammer4, Ole Solheim, Live Eikenes5.   

Abstract

PURPOSE: This pilot study aimed to evaluate the amino acid tracer F-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 F-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 F-FACBC using TBR. F-FACBC PET/MRI outperformed MRICE in lesion detection and in detection of glioma tissue. More research is required to evaluate F-FACBC properties, especially in grade II and III tumors, and for different subtypes of gliomas.

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Year:  2019        PMID: 31107743     DOI: 10.1097/RLU.0000000000002610

Source DB:  PubMed          Journal:  Clin Nucl Med        ISSN: 0363-9762            Impact factor:   7.794


  8 in total

Review 1.  Use of PET Imaging in Neuro-Oncological Surgery.

Authors:  Adrien Holzgreve; Nathalie L Albert; Norbert Galldiks; Bogdana Suchorska
Journal:  Cancers (Basel)       Date:  2021-04-26       Impact factor: 6.639

2.  Reply to the letter regarding "Contribution of PET imaging to radiotherapy planning and monitoring in glioma patients-a report of the PET/RANO group": 18F-fluciclovine and target volume delineation.

Authors:  Norbert Galldiks; Maximilian Niyazi; Jörg-Christian Tonn; Karl-Josef Langen
Journal:  Neuro Oncol       Date:  2021-08-02       Impact factor: 13.029

3.  Letter regarding "Contribution of PET imaging to radiotherapy planning and monitoring in glioma patients-a report of the PET/RANO group": 18F-fluciclovine and target volume delineation.

Authors:  Rupesh Kotecha; Mariam Aboian; Seyed Ali Nabavizadeh; Ephraim E Parent; Daniel M Trifiletti; Samuel T Chao
Journal:  Neuro Oncol       Date:  2021-08-02       Impact factor: 13.029

4.  Imaging Glioblastoma With 18F-Fluciclovine Amino Acid Positron Emission Tomography.

Authors:  Matthew L Scarpelli; Debbie R Healey; Shwetal Mehta; C Chad Quarles
Journal:  Front Oncol       Date:  2022-01-31       Impact factor: 6.244

5.  Exploratory Analysis of Serial 18F-fluciclovine PET-CT and Multiparametric MRI during Chemoradiation for Glioblastoma.

Authors:  Kavi Fatania; Russell Frood; Marcus Tyyger; Garry McDermott; Sharon Fernandez; Gary C Shaw; Marjorie Boissinot; Daniela Salvatore; Luisa Ottobrini; Irvin Teh; John Wright; Marc A Bailey; Joanna Koch-Paszkowski; Jurgen E Schneider; David L Buckley; Louise Murray; Andrew Scarsbrook; Susan C Short; Stuart Currie
Journal:  Cancers (Basel)       Date:  2022-07-18       Impact factor: 6.575

6.  18F-FACBC PET/MRI in the evaluation of human brain metastases: a case report.

Authors:  Knut Johannessen; Erik Magnus Berntsen; Håkon Johansen; Tora S Solheim; Anna Karlberg; Live Eikenes
Journal:  Eur J Hybrid Imaging       Date:  2021-04-13

Review 7.  The Most Common Lesions Detected by Neuroimaging as Causes of Epilepsy.

Authors:  Bożena Adamczyk; Karolina Węgrzyn; Tomasz Wilczyński; Justyna Maciarz; Natalia Morawiec; Monika Adamczyk-Sowa
Journal:  Medicina (Kaunas)       Date:  2021-03-22       Impact factor: 2.430

Review 8.  A perspective on the radiopharmaceutical requirements for imaging and therapy of glioblastoma.

Authors:  Julie Bolcaen; Janke Kleynhans; Shankari Nair; Jeroen Verhoeven; Ingeborg Goethals; Mike Sathekge; Charlot Vandevoorde; Thomas Ebenhan
Journal:  Theranostics       Date:  2021-07-06       Impact factor: 11.556

  8 in total

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