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Amino acid tracers in PET imaging of diffuse low-grade gliomas: a systematic review of preoperative applications

Publikation: Bidrag til tidsskriftReviewForskningpeer review

DOI

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  • Olivia Näslund
  • Anja Smits
  • Petter Förander
  • Mats Laesser
  • Jiri Bartek
  • Jens Gempt
  • Ann Liljegren
  • Eva-Lotte Daxberg
  • Asgeir Store Jakola
Vis graf over relationer

Positron emission tomography (PET) imaging using amino acid tracers has in recent years become widely used in the diagnosis and prediction of disease course in diffuse low-grade gliomas (LGG). However, implications of preoperative PET for treatment and prognosis in this patient group have not been systematically studied. The aim of this systematic review was to evaluate the preoperative diagnostic and prognostic value of amino acid PET in suspected diffuse LGG. Medline, Cochrane Library, and Embase databases were systematically searched using keywords "PET," "low-grade glioma," and "amino acids tracers" with their respective synonyms. Out of 2137 eligible studies, 28 met the inclusion criteria. Increased amino acid uptake (lesion/brain) was consistently reported among included studies; in 25-92% of subsequently histopathology-verified LGG, in 83-100% of histopathology-verified HGG, and also in some non-neoplastic lesions. No consistent results were found in studies reporting hot spot areas on PET in MRI-suspected LGG. Thus, the diagnostic value of amino acid PET imaging in suspected LGG has proven difficult to interpret, showing clear overlap and inconsistencies among reported results. Similarly, the results regarding the prognostic value of PET in suspected LGG and the correlation between uptake ratios and the molecular tumor status of LGG were conflicting. This systematic review illustrates the difficulties with prognostic studies presenting data on group-level without adjustment for established clinical prognostic factors, leading to a loss of additional prognostic information. We conclude that the prognostic value of PET is limited to analysis of histological subgroups of LGG and is probably strongest when using kinetic analysis of dynamic FET uptake parameters.

OriginalsprogEngelsk
TidsskriftActa Neurochirurgica
Vol/bind160
Udgave nummer7
Sider (fra-til)1451-1460
Antal sider10
ISSN0001-6268
DOI
StatusUdgivet - jul. 2018

ID: 55800389