AI Article Synopsis

  • - The study aimed to evaluate the effectiveness of dynamic PET with C-methionine (MET) in diagnosing different types of brain tumors by analyzing the maximum tumor MET-standardized uptake value (MET-SUV) and constructing a time-activity curve (TAC).
  • - In the findings, MET-SUVs were notably higher in glioblastoma during both early and late phases compared to other brain tumor types and normal tissue, with significant differences observed in the late-phase slope of the TAC between tumors with differing cellular composition.
  • - The study concluded that analyzing the MET-TAC enhances non-invasive differentiation of brain tumor subtypes, particularly gliomas, and demonstrated a diagnostic accuracy of 74.2% sensitivity and 64.

Article Abstract

Purpose: The aim of this study was to assess whether dynamic PET with C-methionine (MET) (MET-PET) is useful in the diagnosis of brain tumors.

Methods: One hundred sixty patients with brain tumors (139 gliomas, 9 meningiomas, 4 hemangioblastomas and 8 primary central nervous system lymphomas [PCNSL]) underwent dynamic MET-PET with a 3-dimensional acquisition mode, and the maximum tumor MET-standardized uptake value (MET-SUV) was measured consecutively to construct a time-activity curve (TAC). Furthermore, receiver operating characteristic (ROC) curves were generated from the time-to-peak (TTP) and the slope of the curve in the late phase (SLOPE).

Results: The TAC patterns of MET-SUVs (MET-TACs) could be divided into four characteristic types when MET dynamics were analyzed by dividing the MET-TAC into three phases. MET-SUVs were significantly higher in early and late phases in glioblastoma compared to anaplastic astrocytoma, diffuse astrocytoma and the normal frontal cortex (P < 0.05). The SLOPE in the late phase was significantly lower in tumors that included an oligodendroglial component compared to astrocytic tumors (P < 0.001). When we set the cutoff of the SLOPE in the late phase to - 0.04 h for the differentiation of tumors that included an oligodendroglial component from astrocytic tumors, the diagnostic accuracy was 74.2% sensitivity and 64.9% specificity. The area under the ROC curve was 0.731.

Conclusions: The results of this study show that quantification of the MET-TAC for each brain tumor identified by a dynamic MET-PET study could be helpful in the non-invasive discrimination of brain tumor subtypes, in particular gliomas.

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Source
http://dx.doi.org/10.1007/s11060-018-2834-4DOI Listing

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