Evaluation of [11C]-Methionine Positron Emission Tomography and Cerebral Blood Volume Imaging in the Diagnosis of Non-Contrast-Enhanced Gliomas

<b>Background/Objectives</b>: Methionine (MET) positron emission tomography (PET) and cerebral blood volume (CBV) imaging provide complementary glioma assessment. This study compared MET and CBV across glioma subtypes defined by the 2021 World Health Organization Classification. <b>Methods</b>: This retrospective study enrolled 106 patients (mean age 41.9 ± 12.4 years; 57 males) with MRI non-contrast-enhanced gliomas: 21 glioblastoma, isocitrate dehydrogenase (IDH)-wildtype (G); 50 astrocytoma, IDH-mutant (A); and 35 oligodendrogliomas, IDH-mutant, and 1p/19q-codeleted (O). Relative CBVs (rCBVs) were measured in VOI-T2 and VOI-MET, and the MET tumor-to-normal (T/N) ratio was calculated. <b>Results</b>: MET and rCBV were significantly correlated (r = 0.5, <i>p</i> < 0.001); rCBV was higher in MET-positive tumors and predicted MET accumulation (area under the curve [AUC] = 0.72, cutoff = 2.99). In VOI-T2, rCBV and MET T/N ratio were the highest in G and lowest in A (<i>p</i> < 0.001). Receiver operating characteristic analyses showed no overall significant difference between MET and rCBV for differentiating G/A/O, but rCBV trended toward higher AUC values in key distinctions, such as G (0.736 vs. 0.612) or grade 4 (0.718 vs. 0.617). The increase in rCBV within the MET-positive region (VOI-MET/VOI-T2 rCBV ratio) was significantly higher in A (119.8%, <i>p</i> = 0.002) than in the other groups (<i>p</i> = 0.01). <b>Conclusions</b>: rCBV differentiated glioma subtype with accuracy comparable to MET and could predict MET accumulation. However, its reliability for identifying MET-positive regions varied by subtype, being useful in A but limited in O. Recognizing these subtype-specific differences, rCBV can serve as a practical tool for evaluating non-contrast-enhanced gliomas.

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Journal
Journal of Clinical Medicine
Published
2025-09-25
DOI
https://doi.org/10.3390/jcm14196777
Primary Topic
Glioma Diagnosis and Treatment
Type
article
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article

Evaluation of [11C]-Methionine Positron Emission Tomography and Cerebral Blood Volume Imaging in the Diagnosis of Non-Contrast-Enhanced Gliomas

Takashi Maruyama, Noriyuki Nakayama, Naoyuki Ohe, Ryo Morishima et al.
Journal of Clinical Medicine
Glioma Diagnosis and Treatment
article

Evaluation of [11C]-Methionine Positron Emission Tomography and Cerebral Blood Volume Imaging in the Diagnosis of Non-Contrast-Enhanced Gliomas

Takashi Maruyama, Noriyuki Nakayama, Naoyuki Ohe, Ryo Morishima, Yoshihiro Muragaki, Naoya Imai, Hirohito Yano, Soko Ikuta, Shoji Yasuda, Yuka Ikegame, Jun Shinoda, Tsuyoshi Izumo, Morio Kumagai
article en

Abstract

<b>Background/Objectives</b>: Methionine (MET) positron emission tomography (PET) and cerebral blood volume (CBV) imaging provide complementary glioma assessment. This study compared MET and CBV across glioma subtypes defined by the 2021 World Health Organization Classification. <b>Methods</b>: This retrospective study enrolled 106 patients (mean age 41.9 ± 12.4 years; 57 males) with MRI non-contrast-enhanced gliomas: 21 glioblastoma, isocitrate dehydrogenase (IDH)-wildtype (G); 50 astrocytoma, IDH-mutant (A); and 35 oligodendrogliomas, IDH-mutant, and 1p/19q-codeleted (O). Relative CBVs (rCBVs) were measured in VOI-T2 and VOI-MET, and the MET tumor-to-normal (T/N) ratio was calculated. <b>Results</b>: MET and rCBV were significantly correlated (r = 0.5, <i>p</i> < 0.001); rCBV was higher in MET-positive tumors and predicted MET accumulation (area under the curve [AUC] = 0.72, cutoff = 2.99). In VOI-T2, rCBV and MET T/N ratio were the highest in G and lowest in A (<i>p</i> < 0.001). Receiver operating characteristic analyses showed no overall significant difference between MET and rCBV for differentiating G/A/O, but rCBV trended toward higher AUC values in key distinctions, such as G (0.736 vs. 0.612) or grade 4 (0.718 vs. 0.617). The increase in rCBV within the MET-positive region (VOI-MET/VOI-T2 rCBV ratio) was significantly higher in A (119.8%, <i>p</i> = 0.002) than in the other groups (<i>p</i> = 0.01). <b>Conclusions</b>: rCBV differentiated glioma subtype with accuracy comparable to MET and could predict MET accumulation. However, its reliability for identifying MET-positive regions varied by subtype, being useful in A but limited in O. Recognizing these subtype-specific differences, rCBV can serve as a practical tool for evaluating non-contrast-enhanced gliomas.

Journal of Clinical MedicineVol. 14(19)
Chubu Rosai Hospital (JP), Tokyo Women's Medical University (JP), Gifu University (JP)
Openalex Percentile: Top 64%
Glioma Diagnosis and Treatment
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