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Wagatsuma K, Ikemoto K, Inaji M, Kamitaka Y, Hara S, Tamura K, Miwa K, Tsuzura K, Tsuruki T, Miyaji N, Ishibashi K, Ishii K. Impact of [ 11C]methionine PET with Bayesian penalized likelihood reconstruction on glioma grades based on new WHO 2021 classification. Ann Nucl Med 2024; 38:400-407. [PMID: 38466549 DOI: 10.1007/s12149-024-01911-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2023] [Accepted: 02/02/2024] [Indexed: 03/13/2024]
Abstract
OBJECTIVE The uptake of [11C]methionine in positron emission tomography (PET) imaging overlapped in earlier images of tumors. Bayesian penalized likelihood (BPL) reconstruction increases the quantitative values of tumors compared with conventional ordered subset-expectation maximization (OSEM). The present study aimed to grade glioma malignancy based on the new WHO 2021 classification using [11C]methionine PET images reconstructed using BPL. METHODS We categorized 32 gliomas in 28 patients as grades 2/3 (n = 15) and 4 (n = 17) based on the WHO 2021 classification. All [11C]methionine images were reconstructed using OSEM + time-of-flight (TOF) and BPL + TOF (β = 200). Maximum standardized uptake value (SUVmax) and tumor-to-normal tissue ratio (T/Nmax) were measured at each lesion. RESULTS The mean SUVmax was 4.65 and 4.93 in grade 2/3 and 6.38 and 7.11 in grade 4, and the mean T/Nmax was 7.08 and 7.22 in grade 2/3 and 9.30 and 10.19 in grade 4 for OSEM and BPL, respectively. The BPL significantly increased these values in grade 4 gliomas. The area under the receiver operator characteristic (ROC) curve (AUC) for SUVmax was the highest (0.792) using BPL. CONCLUSIONS The BPL increased mean SUVmax and mean T/Nmax in lesions with higher contrast such as grade 4 glioma. The discrimination power between grades 2/3 and 4 in SUVmax was also increased using [11C]methionine PET images reconstructed with BPL.
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Affiliation(s)
- Kei Wagatsuma
- School of Allied Health Sciences, Kitasato University, 1-15-1 Kitazato, Minami-Ku, Sagamihara, Kanagawa, 252-0373, Japan.
- Research Team for Neuroimaging, Tokyo Metropolitan Institute for Geriatrics and Gerontology, 35-2, Sakae-Cho, Itabashi-Ku, Tokyo, 173-0015, Japan.
| | - Kensuke Ikemoto
- School of Allied Health Sciences, Kitasato University, 1-15-1 Kitazato, Minami-Ku, Sagamihara, Kanagawa, 252-0373, Japan
| | - Motoki Inaji
- Research Team for Neuroimaging, Tokyo Metropolitan Institute for Geriatrics and Gerontology, 35-2, Sakae-Cho, Itabashi-Ku, Tokyo, 173-0015, Japan
- Department of Neurosurgery, Tokyo Medical and Dental University, 1-5-45 Yushima, Bunkyo-Ku, Tokyo, 113-8510, Japan
| | - Yuto Kamitaka
- Research Team for Neuroimaging, Tokyo Metropolitan Institute for Geriatrics and Gerontology, 35-2, Sakae-Cho, Itabashi-Ku, Tokyo, 173-0015, Japan
| | - Shoko Hara
- Research Team for Neuroimaging, Tokyo Metropolitan Institute for Geriatrics and Gerontology, 35-2, Sakae-Cho, Itabashi-Ku, Tokyo, 173-0015, Japan
- Department of Neurosurgery, Tokyo Medical and Dental University, 1-5-45 Yushima, Bunkyo-Ku, Tokyo, 113-8510, Japan
| | - Kaoru Tamura
- Department of Neurosurgery, Tokyo Medical and Dental University, 1-5-45 Yushima, Bunkyo-Ku, Tokyo, 113-8510, Japan
| | - Kenta Miwa
- Department of Radiological Sciences, School of Health Sciences, Fukushima Medical University, 10-6 Sakaemachi, Fukushima-Shi, Fukushima, 960-8516, Japan
| | - Kaede Tsuzura
- Department of Medical Technology, Osaka University Hospital, 2-15 Yamadaoka, Suita, Osaka, 565-0871, Japan
| | - Taisei Tsuruki
- School of Allied Health Sciences, Kitasato University, 1-15-1 Kitazato, Minami-Ku, Sagamihara, Kanagawa, 252-0373, Japan
| | - Noriaki Miyaji
- Department of Radiological Sciences, School of Health Sciences, Fukushima Medical University, 10-6 Sakaemachi, Fukushima-Shi, Fukushima, 960-8516, Japan
| | - Kenji Ishibashi
- Research Team for Neuroimaging, Tokyo Metropolitan Institute for Geriatrics and Gerontology, 35-2, Sakae-Cho, Itabashi-Ku, Tokyo, 173-0015, Japan
| | - Kenji Ishii
- Research Team for Neuroimaging, Tokyo Metropolitan Institute for Geriatrics and Gerontology, 35-2, Sakae-Cho, Itabashi-Ku, Tokyo, 173-0015, Japan
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Vikhrova NB, Kalaeva DB, Tyurina AN, Belyaev AY, Danilov GV, Pronin IN. [PET/CT with 11C-methionine in assessment of brain glioma metabolism]. ZHURNAL VOPROSY NEIROKHIRURGII IMENI N. N. BURDENKO 2024; 88:63-69. [PMID: 38334732 DOI: 10.17116/neiro20248801163] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/10/2024]
Abstract
OBJECTIVE To study 11C-methionine (MET) metabolism in gliomas using CNS tumor biobank imaging data. MATERIAL AND METHODS MRI and 11C-MET PET/CT were performed in 225 patients (49±14 years, M/F=84/101) according to standard protocols with analysis of 11C-MET accumulation index and volumetric parameters (V_FLAIR, V_PET and V_PET/FLAIR). These results were compared with molecular genetic testing and 2-year overall survival. RESULTS We examined 225 patients with gliomas (97 glioblastomas, 70 astrocytomas, 58 oligodendrogliomas). Accumulation index and volume of 11C-MET in glioblastomas were significantly higher in the general group (AI=2.90, Se 69%, Sp 76%, AUC 0.76; V_PET=24.3 cm3, Se 67%, Sp 60%, AUC 0.65; V_PET/FLAIR 0.46, Se 60%, Sp 69%, AUC 0.67) and within the group of astrocytomas (AI=2.93, Se 68%, Sp 89%, AUC 0.84; V_PET=8.06 cm3, Se 91%, Sp 35%, AUC 0.66; V_PET/FLAIR 0.27, Se 77%, Sp 60%, AUC 0.71). The median 2-year overall survival in patients with glioblastomas was 13 months that was significantly lower compared to IDH «+» gliomas (p<0.0001). There was a relationship between high accumulation index of 11C-MET and shorter overall survival in patients with glioblastomas. Significantly higher AI >3.59 (Se 89%, Sp 67%, AUC 0.79) was additionally obtained in subgroup of patients with glioblastomas >50 years (n=34) for EGFR «+» tumors. CONCLUSION We found variable 11C-MET metabolism in WHO 2021 gliomas and confirmed significant difference in metabolic activity and volume of 11C-MET accumulation in glioblastomas compared to IDH «+» gliomas. Moreover, we revealed the relationship between high accumulation index and shorter survival. Analysis of 11C-MET metabolism in patients over 50 years old revealed higher accumulation index in the EGFR «+» group. Further comparison of these imaging methods and assessment of other significant mutations are necessary to identify the anatomical and metabolic patterns of IDH «+» gliomas.
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Affiliation(s)
| | - D B Kalaeva
- Burdenko Neurosurgical Center, Moscow, Russia
- National Research Nuclear University MEPhI (Moscow Engineering Physics Institute), Moscow, Russia
| | - A N Tyurina
- Burdenko Neurosurgical Center, Moscow, Russia
| | | | - G V Danilov
- Burdenko Neurosurgical Center, Moscow, Russia
| | - I N Pronin
- Burdenko Neurosurgical Center, Moscow, Russia
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Ouyang ZQ, Zheng GR, Duan XR, Zhang XR, Ke TF, Bao SS, Yang J, He B, Liao CD. Diagnostic accuracy of glioma pseudoprogression identification with positron emission tomography imaging: a systematic review and meta-analysis. Quant Imaging Med Surg 2023; 13:4943-4959. [PMID: 37581048 PMCID: PMC10423382 DOI: 10.21037/qims-22-1340] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2022] [Accepted: 05/15/2023] [Indexed: 08/16/2023]
Abstract
Background Positron emission tomography (PET) imaging is a promising molecular neuroimaging technique and has been proposed as one of the criteria for glioma management. However, there is some controversy concerning the diagnostic accuracy of PET using different radiotracers to differentiate between glioma pseudoprogression (PsP) and true progression (TPR). The purpose of this meta-analysis was to systematically evaluate the methodological quality and clinical value of original studies for distinguishing PsP from TPR in glioma. Methods The Medline, Web of Science, Embase, Cochrane Library, and ClinicalTrials.gov were searched from inception until September 1, 2022. Retrieved clinical studies only investigated the PsP cases but did not include the cases of radiation necrosis or other treatment-related changes. Eligible studies were screened for data extraction and evaluated by 2 independent reviewers using the Quality Assessment of Diagnostic Accuracy Studies 2 (QUADAS-2) tool. A random effects model was used to describe summary receiver operating characteristics. Meta-regression and subgroup analyses were applied to identify any sources of heterogeneity. Results The meta-analysis included 20 studies, comprising 317 (30.9%) patients with PsP and 708 (69.1%) with TPR. The summary sensitivity and specificity of general PET for identifying PsP were 0.86 [95% confidence interval (CI): 0.77-0.91] and 0.84 (95% CI: 0.79-0.88), respectively. The statistical heterogeneity was explained by sample size, study design, World Health Organization (WHO) grade, gold standard, and radiotracer type. The summary sensitivity and specificity of O-(2-18F-fluoroethyl)-L-tyrosine (18F-FET PET) were 0.80 (95% CI: 0.68-0.88) and 0.81 (95% CI: 0.75-0.85), respectively. The maximum tumor-to-brain ratio (TBRmax) and the mean tumor-to-brain ratio (TBRmean) both showed excellent diagnostic performance in 18F-FET studies, the summary sensitivity was 0.83 (95% CI: 0.72-0.91) and 0.79 (95% CI: 0.65-0.98), respectively, and the specificity was 0.76 (95% CI: 0.68-0.84) and 0.78 (95% CI: 0.64-0.88), respectively. Conclusions PET imaging is generally accurate in identifying glioma PsP. Considering the credibility of meta-evidence and the practicability of using radiotracer, 18F-FET PET holds the highest clinical value, while TBRmax and TBRmean should be regarded as reliable parameters. PET used with the radiotracers and multiple-parameter combinations of PET with magnetic resonance imaging (MRI) and radiomics analysis have broad research and application prospects, whose diagnostic values for identifying glioma PsP warrant further investigation.
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Affiliation(s)
- Zhi-Qiang Ouyang
- Department of Radiology, Yan’an Hospital of Kunming City (Yan’an Hospital Affiliated to Kunming Medical University), Kunming, China
| | - Guang-Rong Zheng
- Department of Radiology, Yan’an Hospital of Kunming City (Yan’an Hospital Affiliated to Kunming Medical University), Kunming, China
| | - Xi-Rui Duan
- Department of Radiology, Yunnan Cancer Hospital (the Third Affiliated Hospital of Kunming Medical University), Kunming, China
| | - Xue-Rong Zhang
- Department of Radiology, Yunnan Cancer Hospital (the Third Affiliated Hospital of Kunming Medical University), Kunming, China
| | - Teng-Fei Ke
- Department of Radiology, Yunnan Cancer Hospital (the Third Affiliated Hospital of Kunming Medical University), Kunming, China
| | - Sha-Sha Bao
- Department of Radiology, Yunnan Cancer Hospital (the Third Affiliated Hospital of Kunming Medical University), Kunming, China
| | - Jun Yang
- Department of Radiology, Yunnan Cancer Hospital (the Third Affiliated Hospital of Kunming Medical University), Kunming, China
| | - Bin He
- Department of Neurosurgery, the Second Affiliated Hospital of Kunming Medical University, Kunming, China
| | - Cheng-De Liao
- Department of Radiology, Yan’an Hospital of Kunming City (Yan’an Hospital Affiliated to Kunming Medical University), Kunming, China
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4
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Fukuya Y, Tamura M, Nitta M, Saito T, Tsuzuki S, Koriyama S, Kuwano A, Kawamata T, Muragaki Y. Tumor volume and calcifications as indicators for preoperative differentiation of grade II/III diffuse gliomas. J Neurooncol 2023; 161:555-562. [PMID: 36749444 DOI: 10.1007/s11060-023-04244-3] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2022] [Accepted: 01/18/2023] [Indexed: 02/08/2023]
Abstract
PURPOSE To retrospectively evaluate preoperative clinical factors for their ability to preoperatively differentiate malignancy grades in patients with incipient supratentorial grade II/III diffuse gliomas. METHODS This retrospective study included 206 adult patients with incipient supratentorial grade II/III diffuse gliomas according to the 2016 World Health Organization classification of tumors of the central nervous system. The cohort included 136 men and 70 women, with a median age of 41 years. Preoperative factors included age, sex, presence of calcifications on computed tomography scans, and preoperative tumor volume measured using preoperative magnetic resonance imaging. RESULTS In patients with oligodendrogliomas (IDH-mutant and 1p/19q-codeleted), calcifications were significantly more frequent (p = 0.0034) and tumor volume was significantly larger (p < 0.001) in patients with grade III tumors than in those with grade II tumors. Moreover, in patients with IDH-mutant astrocytomas, preoperative tumor volume was significantly larger (p = 0.0042) in patients with grade III tumors than in those with grade II tumors. In contrast, none of the evaluated preoperative clinical factors were significantly different between the patients with grade II and III IDH-wildtype astrocytomas. CONCLUSION In adult patients with suspicison incipient supratentorial grade II/III diffuse gliomas, presence of calcifications and larger preoperative tumor volume might be used as preoperative indices to differentiate between malignancy grades II and III in oligodendrogliomas (IDH-mutant and 1p/19q-codeleted) and larger preoperative tumor volume might have similar utility in IDH-mutant astrocytomas.
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Affiliation(s)
- Yasukazu Fukuya
- Department of Radiology, Kobe Comprehensive Medical College, 7-1-21 Tomugaoka, Suma-ku, Kobe-shi, Hyogo 654-0142, Japan
| | - Manabu Tamura
- Faculty of Advanced Techno‑Surgery, Institute of Advanced Biomedical Engineering and Science, Tokyo Women's Medical University, 8‑1 Kawada‑cho, Shinjuku‑ku, Tokyo 162‑8666, Japan. .,Department of Neurosurgery, Tokyo Women's Medical University, 8‑1 Kawada‑cho, Shinjuku‑ku, Tokyo 162‑8666, Japan.
| | - Masayuki Nitta
- Faculty of Advanced Techno‑Surgery, Institute of Advanced Biomedical Engineering and Science, Tokyo Women's Medical University, 8‑1 Kawada‑cho, Shinjuku‑ku, Tokyo 162‑8666, Japan.,Department of Neurosurgery, Tokyo Women's Medical University, 8‑1 Kawada‑cho, Shinjuku‑ku, Tokyo 162‑8666, Japan
| | - Taiichi Saito
- Faculty of Advanced Techno‑Surgery, Institute of Advanced Biomedical Engineering and Science, Tokyo Women's Medical University, 8‑1 Kawada‑cho, Shinjuku‑ku, Tokyo 162‑8666, Japan.,Department of Neurosurgery, Tokyo Women's Medical University, 8‑1 Kawada‑cho, Shinjuku‑ku, Tokyo 162‑8666, Japan
| | - Shunsuke Tsuzuki
- Faculty of Advanced Techno‑Surgery, Institute of Advanced Biomedical Engineering and Science, Tokyo Women's Medical University, 8‑1 Kawada‑cho, Shinjuku‑ku, Tokyo 162‑8666, Japan.,Department of Neurosurgery, Tokyo Women's Medical University, 8‑1 Kawada‑cho, Shinjuku‑ku, Tokyo 162‑8666, Japan
| | - Shunichi Koriyama
- Department of Neurosurgery, Tokyo Women's Medical University, 8‑1 Kawada‑cho, Shinjuku‑ku, Tokyo 162‑8666, Japan
| | - Atsushi Kuwano
- Department of Neurosurgery, Tokyo Women's Medical University, 8‑1 Kawada‑cho, Shinjuku‑ku, Tokyo 162‑8666, Japan
| | - Takakazu Kawamata
- Department of Neurosurgery, Tokyo Women's Medical University, 8‑1 Kawada‑cho, Shinjuku‑ku, Tokyo 162‑8666, Japan
| | - Yoshihiro Muragaki
- Faculty of Advanced Techno‑Surgery, Institute of Advanced Biomedical Engineering and Science, Tokyo Women's Medical University, 8‑1 Kawada‑cho, Shinjuku‑ku, Tokyo 162‑8666, Japan.,Department of Neurosurgery, Tokyo Women's Medical University, 8‑1 Kawada‑cho, Shinjuku‑ku, Tokyo 162‑8666, Japan
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5
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Superiority of [ 11C]methionine over [ 18F]deoxyglucose for PET Imaging of Multiple Cancer Types Due to the Methionine Addiction of Cancer. Int J Mol Sci 2023; 24:ijms24031935. [PMID: 36768257 PMCID: PMC9915427 DOI: 10.3390/ijms24031935] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2022] [Revised: 01/12/2023] [Accepted: 01/13/2023] [Indexed: 01/20/2023] Open
Abstract
Positron emission tomography (PET) is widely used to detect cancers. The usual isotope for PET imaging of cancer is [18F]deoxyglucose. The premise of using [18F]deoxyglucose is that cancers are addicted to glucose (The Warburg effect). However, cancers are more severely addicted to methionine (The Hoffman effect). [11C]methionine PET (MET-PET) has been effectively used for the detection of glioblastoma and other cancers in the brain, and in comparison, MET-PET has been shown to be more sensitive and accurate than [18F]deoxyglucose PET (FDG-PET). However, MET-PET has been limited to cancers in the brain. The present report describes the first applications of MET-PET to cancers of multiple organs, including rectal, bladder, lung, and kidney. The results in each case show that MET-PET is superior to FDG-PET due to the methionine addiction of cancer and suggest that the broad application of MET-PET should be undertaken for cancer detection.
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6
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Yamaki T, Higuchi Y, Yokota H, Iwadate Y, Matsutani T, Hirono S, Sasaki H, Ryota S, Toda M, Onodera S, Oka N, Kobayashi S. The role of optimal cut-off diagnosis in 11C-methionine PET for differentiation of intracranial brain tumor from non-neoplastic lesions before treatment. Clin Imaging 2022; 92:124-130. [DOI: 10.1016/j.clinimag.2022.10.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2022] [Revised: 10/05/2022] [Accepted: 10/12/2022] [Indexed: 11/27/2022]
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Maximum 11C-methionine PET uptake as a prognostic imaging biomarker for newly diagnosed and untreated astrocytic glioma. Sci Rep 2022; 12:546. [PMID: 35017570 PMCID: PMC8752605 DOI: 10.1038/s41598-021-04216-5] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2021] [Accepted: 12/15/2021] [Indexed: 12/26/2022] Open
Abstract
This study aimed whether the uptake of amino tracer positron emission tomography (PET) can be used as an additional imaging biomarker to estimate the prognosis of glioma. Participants comprised 56 adult patients with newly diagnosed and untreated World Health Organization (WHO) grade II–IV astrocytic glioma who underwent surgical excision and were evaluated by 11C-methionine PET prior to the surgical excision at Osaka City University Hospital from July 2011 to March 2018. Clinical and imaging studies were retrospectively reviewed based on medical records at our institution. Preoperative Karnofsky Performance Status (KPS) only influenced progression-free survival (hazard ratio [HR] 0.20; 95% confidence interval [CI] 0.10–0.41, p < 0.0001), whereas histology (anaplastic astrocytoma: HR 5.30, 95% CI 1.23–22.8, p = 0.025; glioblastoma: HR 11.52, 95% CI 2.27–58.47, p = 0.0032), preoperative KPS ≥ 80 (HR 0.23, 95% CI 0.09–0.62, p = 0.004), maximum lesion-to-contralateral normal brain tissue (LN max) ≥ 4.03 (HR 0.24, 95% CI 0.08–0.71, p = 0.01), and isocitrate dehydrogenase (IDH) status (HR 14.06, 95% CI 1.81–109.2, p = 0.011) were factors influencing overall survival (OS) in multivariate Cox regression. OS was shorter in patients with LN max ≥ 4.03 (29.3 months) than in patients with LN max < 4.03 (not reached; p = 0.03). OS differed significantly between patients with IDH mutant/LN max < 4.03 and patients with IDH mutant/LN max ≥ 4.03. LN max using 11C-methionine PET may be used in prognostic markers for newly identified and untreated WHO grade II–IV astrocytic glioma.
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Chiaravalloti A, Cimini A, Ricci M, Quartuccio N, Arnone G, Filippi L, Calabria F, Leporace M, Bagnato A, Schillaci O. Positron emission tomography imaging in primary brain tumors. Nucl Med Mol Imaging 2022. [DOI: 10.1016/b978-0-12-822960-6.00042-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022] Open
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9
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Lan X, Fan K, Cai W. First-in-human study of an 18F-labeled boramino acid: a new class of PET tracers. Eur J Nucl Med Mol Imaging 2021; 48:3037-3040. [PMID: 33547555 DOI: 10.1007/s00259-021-05227-0] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Affiliation(s)
- Xiaoli Lan
- Department of Nuclear Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China. .,Hubei Key Laboratory of Molecular Imaging, Wuhan, China.
| | - Kevin Fan
- Departments of Radiology and Medical Physics, University of Wisconsin - Madison, 1111 Highland Avenue, Madison, WI, USA
| | - Weibo Cai
- Departments of Radiology and Medical Physics, University of Wisconsin - Madison, 1111 Highland Avenue, Madison, WI, USA.
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Vikhrova NB, Kalaeva DB, Postnov AA, Khokhlova EV, Konakova TA, Batalov AI, Pogosbekyan EL, Pronin IN. [Dynamic11C-methionine PET/CT in differential diagnosis of brain gliomas]. ZHURNAL VOPROSY NEĬROKHIRURGII IMENI N. N. BURDENKO 2021; 85:5-13. [PMID: 34156203 DOI: 10.17116/neiro2021850315] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
Abstract
OBJECTIVE To evaluate the possibilities of dynamic preoperative 11C-methionine (MET) PET/CT in differential diagnosis of various types of brain gliomas in adults. MATERIAL AND METHODS The study included 74 patients aged 48±14 years with supratentorial gliomas: Grade IV - glioblastoma (GB, n=33), Grade III - anaplastic oligodendroglioma (AOD, n=10) and anaplastic astrocytoma (AA, n=12), Grade II - diffuse astrocytoma (DA, n=13) and oligodendroglioma (OD, n=6). All patients underwent standard MRI and dynamic MET PET/CT within 20 minutes after intravenous injection of radiopharmaceutical. Then, we compared MRI and PET/CT data and comprehensively analyzed the early stages of time-activity curve using 2 parameters: the first pass peak (FPP) and the first peak of maximum uptake (Pmax). RESULTS We have significantly distinguished high-grade tumors (GB and AA+AOD) and certain benign gliomas (DA and OD) (p<0.05). AUC was over 0.7 and 0.8 for FPP and Pmax in differential diagnosis of various gliomas, respectively. We found that difficulties in differential diagnosis of gliomas arise mainly if oligodendrogliomas are included in the control group. CONCLUSION Dynamic PET/CT with analysis of FPP and Pmax increases specificity of differential diagnosis of various gliomas compared to standard static imaging. These data are valuable for choice of optimal treatment strategy, as well as fundamental research of metabolic processes and vascularization of various tumors.
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Affiliation(s)
| | - D B Kalaeva
- Burdenko Center of Neurosurgery, Moscow, Russia.,National Research Nuclear University MEPhI (Moscow Engineering Physics Institute), Moscow, Russia
| | - A A Postnov
- Burdenko Center of Neurosurgery, Moscow, Russia.,National Research Nuclear University MEPhI (Moscow Engineering Physics Institute), Moscow, Russia.,Lebedev Physical Institute, Moscow, Russia
| | | | | | - A I Batalov
- Burdenko Center of Neurosurgery, Moscow, Russia
| | | | - I N Pronin
- Burdenko Center of Neurosurgery, Moscow, Russia
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The role of 11C-methionine PET in patients with negative diffusion-weighted magnetic resonance imaging: correlation with histology and molecular biomarkers in operated gliomas. Nucl Med Commun 2021; 41:696-705. [PMID: 32371671 DOI: 10.1097/mnm.0000000000001202] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
OBJECTIVE To compare 11C-methionine (11C-METH) PET with diffusion-weighted MRI (DWI-MRI) diagnostic accuracy and prognostic value in patients with glioma candidate to neurosurgery. METHODS We collected and analyzed data from 124 consecutive patients (n = 124) investigated during preoperative work-up. Both visual and semiquantitative parameters were utilized for image analysis. The reference standard was based on histopathology. The median follow-up was 14.3 months. RESULTS Overall, 47 high-grade gliomas (HGG) and 77 low-grade gliomas (LGG) were diagnosed. On visual assessment, sensitivity and specificity for differentiating HGG from LGG were 80.8 and 59.7% for DWI-MRI, versus 95.7 and 41.5% for 11C-METH PET, respectively. On semiquantitative analysis, the sensitivity, specificity, and area under the curve were 78.7, 71.4, and 80.4% for SUVmax, 78.7, 70.1, and 81.1% for SUVratio, and 74.5, 61, and 76.7% for MTB (metabolic tumor burden), respectively. In patients with negative DWI-MRI and IDH-wild type, SUVmax and SUVratio were higher compared to IDH-mutated (P = 0.025 and P = 0.01, respectively). In LGG, patients with 1p/19q codeletion showed higher SUVmax (P = 0.044). In all patients with negative DWI-MRI, median PFS was longer for SUVmax <3.9 (median not reached vs 34.2 months, P = 0.004), SUVratio <2.3 (median not reached vs 21.5 months, P < 0.001), and MTB <3.1 (median not reached vs 45.7 months, P = 0.05). In LGG patients with negative DWI-MRI, only SUVratio <2.3 and MTB <3.1 were associated with longer PFS (P = 0.016 and P = 0.024, respectively). CONCLUSION C-METH PET was found highly sensitive for glioma differentiation and molecular characterization. In DWI-negative patients, PET parameters correlated with molecular profile were associated with clinical outcome.
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12
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Nakajo K, Uda T, Kawashima T, Terakawa Y, Ishibashi K, Tsuyuguchi N, Tanoue Y, Nagahama A, Uda H, Koh S, Sasaki T, Ohata K, Kanemura Y, Goto T. Diagnostic Performance of [ 11C]Methionine Positron Emission Tomography in Newly Diagnosed and Untreated Glioma Based on the Revised World Health Organization 2016 Classification. World Neurosurg 2021; 148:e471-e481. [PMID: 33444827 DOI: 10.1016/j.wneu.2021.01.012] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2020] [Revised: 01/02/2021] [Accepted: 01/04/2021] [Indexed: 12/20/2022]
Abstract
BACKGROUND The relationship between uptake of amino acid tracer with positron emission tomography (PET) and glioma subtypes/gene status is still unclear. OBJECTIVE To assess the relationship between uptake of [11C]methionine using PET and pathology, IDH (isocitrate dehydrogenase) mutation, 1p/19q codeletion, and TERT (telomerase reverse transcriptase) promoter status in gliomas. METHODS The participants were 68 patients with newly diagnosed and untreated glioma who underwent surgical excision and preoperative [11C]methionine PET examination at Osaka City University Hospital between July 2011 and March 2018. Clinical and imaging studies were reviewed retrospectively based on the medical records at our institution. RESULTS The mean lesion/contralateral normal brain tissue (L/N) ratio of diffuse astrocytomas was significantly lower than that of anaplastic astrocytomas (P = 0.00155), glioblastoma (P < 0.001), and oligodendrogliomas (P = 0.0157). The mean L/N ratio of IDH mutant gliomas was significantly lower than that of IDH wild-type gliomas (median 1.75 vs. 2.61; P = 0.00162). A mean L/N ratio of 2.05 provided the best sensitivity and specificity for distinguishing between IDH mutant and IDH wild-type gliomas (69.2% and 76.2%, respectively). The mean L/N ratio of TERT promoter mutant gliomas was significantly higher than that of TERT promoter wild-type gliomas (P = 0.0147). Multiple regression analysis showed that pathologic diagnosis was the only influential factor on L/N ratio. CONCLUSIONS Distinguishing glioma subtypes based on the revised 2016 World Health Organization classification of the central nervous system tumors on the basis of [11C]methionine PET alone seems to be difficult. However, [11C]methionine PET might be useful for predicting the IDH mutation status in newly diagnosed and untreated gliomas noninvasively before tumor resection.
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Affiliation(s)
- Kosuke Nakajo
- Department of Neurosurgery, Osaka City University Graduate School of Medicine, Osaka, Japan.
| | - Takehiro Uda
- Department of Neurosurgery, Osaka City University Graduate School of Medicine, Osaka, Japan
| | - Toshiyuki Kawashima
- Department of Neurosurgery, Osaka City University Graduate School of Medicine, Osaka, Japan
| | - Yuzo Terakawa
- Department of Neurosurgery, Osaka City University Graduate School of Medicine, Osaka, Japan; Department of Neurosurgery, Hokkaido Ono Memorial Hospital, Hokkaido, Japan
| | - Kenichi Ishibashi
- Department of Neurosurgery, Osaka City University Graduate School of Medicine, Osaka, Japan; Department of Neurosurgery, Osaka City General Hospital, Osaka, Japan
| | - Naohiro Tsuyuguchi
- Department of Neurosurgery, Osaka City University Graduate School of Medicine, Osaka, Japan; Department of Neurosurgery, Kinki University Graduate School of Medicine, Osaka, Japan
| | - Yuta Tanoue
- Department of Neurosurgery, Osaka City University Graduate School of Medicine, Osaka, Japan
| | - Atsufumi Nagahama
- Department of Neurosurgery, Osaka City University Graduate School of Medicine, Osaka, Japan
| | - Hiroshi Uda
- Department of Neurosurgery, Osaka City University Graduate School of Medicine, Osaka, Japan
| | - Saya Koh
- Department of Neurosurgery, Osaka City University Graduate School of Medicine, Osaka, Japan
| | - Tsuyoshi Sasaki
- Department of Neurosurgery, Osaka City University Graduate School of Medicine, Osaka, Japan
| | - Kenji Ohata
- Department of Neurosurgery, Osaka City University Graduate School of Medicine, Osaka, Japan
| | - Yonehiro Kanemura
- Department of Biomedical Research and Innovation, Institute for Clinical Research, Osaka, Japan; Department of Neurosurgery, National Hospital Organization Osaka National Hospital, Osaka, Japan
| | - Takeo Goto
- Department of Neurosurgery, Osaka City University Graduate School of Medicine, Osaka, Japan
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13
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Lombardi G, Barresi V, Castellano A, Tabouret E, Pasqualetti F, Salvalaggio A, Cerretti G, Caccese M, Padovan M, Zagonel V, Ius T. Clinical Management of Diffuse Low-Grade Gliomas. Cancers (Basel) 2020; 12:E3008. [PMID: 33081358 PMCID: PMC7603014 DOI: 10.3390/cancers12103008] [Citation(s) in RCA: 36] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2020] [Revised: 10/06/2020] [Accepted: 10/14/2020] [Indexed: 12/21/2022] Open
Abstract
Diffuse low-grade gliomas (LGG) represent a heterogeneous group of primary brain tumors arising from supporting glial cells and usually affecting young adults. Advances in the knowledge of molecular profile of these tumors, including mutations in the isocitrate dehydrogenase genes, or 1p/19q codeletion, and in neuroradiological techniques have contributed to the diagnosis, prognostic stratification, and follow-up of these tumors. Optimal post-operative management of LGG is still controversial, though radiation therapy and chemotherapy remain the optimal treatments after surgical resection in selected patients. In this review, we report the most important and recent research on clinical and molecular features, new neuroradiological techniques, the different therapeutic modalities, and new opportunities for personalized targeted therapy and supportive care.
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Affiliation(s)
- Giuseppe Lombardi
- Department of Oncology, Oncology 1, Veneto Institute of oncology-IRCCS, 35128 Padova, Italy; (G.C.); (M.C.); (M.P.); (V.Z.)
| | - Valeria Barresi
- Department of Diagnostics and Public Health, Section of Pathology, University of Verona, 37129 Verona, Italy;
| | - Antonella Castellano
- Neuroradiology Unit, IRCCS San Raffaele Scientific Institute and Vita-Salute San Raffaele University, 20132 Milan, Italy;
| | - Emeline Tabouret
- Team 8 GlioMe, CNRS, INP, Inst Neurophysiopathol, Aix-Marseille University, 13005 Marseille, France;
| | | | - Alessandro Salvalaggio
- Department of Neuroscience, University of Padova, 35128 Padova, Italy;
- Padova Neuroscience Center (PNC), University of Padova, 35128 Padova, Italy
| | - Giulia Cerretti
- Department of Oncology, Oncology 1, Veneto Institute of oncology-IRCCS, 35128 Padova, Italy; (G.C.); (M.C.); (M.P.); (V.Z.)
| | - Mario Caccese
- Department of Oncology, Oncology 1, Veneto Institute of oncology-IRCCS, 35128 Padova, Italy; (G.C.); (M.C.); (M.P.); (V.Z.)
| | - Marta Padovan
- Department of Oncology, Oncology 1, Veneto Institute of oncology-IRCCS, 35128 Padova, Italy; (G.C.); (M.C.); (M.P.); (V.Z.)
| | - Vittorina Zagonel
- Department of Oncology, Oncology 1, Veneto Institute of oncology-IRCCS, 35128 Padova, Italy; (G.C.); (M.C.); (M.P.); (V.Z.)
| | - Tamara Ius
- Neurosurgery Unit, Department of Neurosciences, Santa Maria della Misericordia University Hospital, 33100 Udine, Italy;
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14
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Ye Z, Price RL, Liu X, Lin J, Yang Q, Sun P, Wu AT, Wang L, Han RH, Song C, Yang R, Gary SE, Mao DD, Wallendorf M, Campian JL, Li JS, Dahiya S, Kim AH, Song SK. Diffusion Histology Imaging Combining Diffusion Basis Spectrum Imaging (DBSI) and Machine Learning Improves Detection and Classification of Glioblastoma Pathology. Clin Cancer Res 2020; 26:5388-5399. [PMID: 32694155 DOI: 10.1158/1078-0432.ccr-20-0736] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2020] [Revised: 06/01/2020] [Accepted: 07/15/2020] [Indexed: 01/10/2023]
Abstract
PURPOSE Glioblastoma (GBM) is one of the deadliest cancers with no cure. While conventional MRI has been widely adopted to examine GBM clinically, accurate neuroimaging assessment of tumor histopathology for improved diagnosis, surgical planning, and treatment evaluation remains an unmet need in the clinical management of GBMs. EXPERIMENTAL DESIGN We employ a novel diffusion histology imaging (DHI) approach, combining diffusion basis spectrum imaging (DBSI) and machine learning, to detect, differentiate, and quantify areas of high cellularity, tumor necrosis, and tumor infiltration in GBM. RESULTS Gadolinium-enhanced T1-weighted or hyperintense fluid-attenuated inversion recovery failed to reflect the morphologic complexity underlying tumor in patients with GBM. Contrary to the conventional wisdom that apparent diffusion coefficient (ADC) negatively correlates with increased tumor cellularity, we demonstrate disagreement between ADC and histologically confirmed tumor cellularity in GBM specimens, whereas DBSI-derived restricted isotropic diffusion fraction positively correlated with tumor cellularity in the same specimens. By incorporating DBSI metrics as classifiers for a supervised machine learning algorithm, we accurately predicted high tumor cellularity, tumor necrosis, and tumor infiltration with 87.5%, 89.0%, and 93.4% accuracy, respectively. CONCLUSIONS Our results suggest that DHI could serve as a favorable alternative to current neuroimaging techniques in guiding biopsy or surgery as well as monitoring therapeutic response in the treatment of GBM.
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Affiliation(s)
- Zezhong Ye
- Department of Radiology, Washington University School of Medicine, St. Louis, Missouri
| | - Richard L Price
- Department of Neurological Surgery, Washington University School of Medicine, St. Louis, Missouri
| | - Xiran Liu
- Department of Electrical & System Engineering, Washington University, St. Louis, Missouri
| | - Joshua Lin
- Department of Radiology, Washington University School of Medicine, St. Louis, Missouri
| | - Qingsong Yang
- Department of Radiology, Changhai Hospital, Yangpu District, Shanghai, China
| | - Peng Sun
- Department of Radiology, Washington University School of Medicine, St. Louis, Missouri
| | - Anthony T Wu
- Department of Biomedical Engineering, Washington University, St. Louis, Missouri
| | - Liang Wang
- Department of Electrical & System Engineering, Washington University, St. Louis, Missouri
| | - Rowland H Han
- Department of Neurological Surgery, Washington University School of Medicine, St. Louis, Missouri
| | - Chunyu Song
- Department of Biomedical Engineering, Washington University, St. Louis, Missouri
| | - Ruimeng Yang
- Department of Radiology, Guangzhou First People's Hospital, School of Medicine, South China University of Technology, Guangzhou, Guangdong, China
| | - Sam E Gary
- Medical Scientist Training Program, The University of Alabama at Birmingham, Birmingham, Alabama
| | - Diane D Mao
- Department of Neurological Surgery, Washington University School of Medicine, St. Louis, Missouri
| | - Michael Wallendorf
- Department of Biostatistics, Washington University School of Medicine, St. Louis, Missouri
| | - Jian L Campian
- Division of Oncology, Department of Medicine, Washington University School of Medicine, St. Louis, Missouri
| | - Jr-Shin Li
- Department of Electrical & System Engineering, Washington University, St. Louis, Missouri
| | - Sonika Dahiya
- Department of Pathology and Immunology, Washington University School of Medicine, St. Louis, Missouri.
| | - Albert H Kim
- Department of Neurological Surgery, Washington University School of Medicine, St. Louis, Missouri.
| | - Sheng-Kwei Song
- Department of Radiology, Washington University School of Medicine, St. Louis, Missouri
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15
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Inukai M, Shibahara I, Hotta M, Miyasaka K, Sato S, Hide T, Saegusa M, Kumabe T. Case of Calcifying Pseudoneoplasms of the Neuraxis Coexisting with Interhemispheric Lipoma and Agenesis of the Corpus Callosum: Involvement of Infiltrating Macrophages. World Neurosurg 2020; 134:635-640.e1. [DOI: 10.1016/j.wneu.2019.10.182] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2019] [Revised: 10/28/2019] [Accepted: 10/29/2019] [Indexed: 10/25/2022]
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16
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Treglia G, Muoio B, Trevisi G, Mattoli MV, Albano D, Bertagna F, Giovanella L. Diagnostic Performance and Prognostic Value of PET/CT with Different Tracers for Brain Tumors: A Systematic Review of Published Meta-Analyses. Int J Mol Sci 2019; 20:ijms20194669. [PMID: 31547109 PMCID: PMC6802483 DOI: 10.3390/ijms20194669] [Citation(s) in RCA: 57] [Impact Index Per Article: 11.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2019] [Revised: 09/16/2019] [Accepted: 09/19/2019] [Indexed: 12/12/2022] Open
Abstract
Background: Several meta-analyses reporting data on the diagnostic performance or prognostic value of positron emission tomography (PET) with different tracers in detecting brain tumors have been published so far. This review article was written to summarize the evidence-based data in these settings. Methods: We have performed a comprehensive literature search of meta-analyses published in the Cochrane library and PubMed/Medline databases (from inception through July 2019) about the diagnostic performance or prognostic value of PET with different tracers in patients with brain tumors. Results: We have summarized the results of 24 retrieved meta-analyses on the use of PET or PET/computed tomography (CT) with different tracers in brain tumors. The tracers included were: fluorine-18 fluorodeoxyglucose (18F-FDG), carbon-11 methionine (11C-methionine), fluorine-18 fluoroethyltyrosine (18F-FET), fluorine-18 dihydroxyphenylalanine (18F-FDOPA), fluorine-18 fluorothymidine (18F-FLT), and carbon-11 choline (11C-choline). Evidence-based data demonstrated good diagnostic performance of PET with different tracers in detecting brain tumors, in particular, radiolabelled amino acid tracers showed the highest diagnostic performance values. All the PET tracers evaluated had significant prognostic value in patients with glioma. Conclusions: Evidence-based data showed a good diagnostic performance for some PET tracers in specific indications and significant prognostic value in brain tumors.
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Affiliation(s)
- Giorgio Treglia
- Clinic of Nuclear Medicine and PET/CT Center, Imaging Institute of Southern Switzerland, Ente Ospedaliero Cantonale, CH-6500 Bellinzona, Switzerland.
- Health Technology Assessment Unit, Academic Education, Research and Innovation Area, General Directorate, Ente Ospedaliero Cantonale, CH-6500 Bellinzona, Switzerland.
- Department of Nuclear Medicine and Molecular Imaging, Lausanne University Hospital and University of Lausanne, CH-1011 Lausanne, Switzerland.
| | - Barbara Muoio
- Clinic of Medical Oncology, Oncology Institute of Southern Switzerland, Ente Ospedaliero Cantonale, CH-6500 Bellinzona, Switzerland.
| | - Gianluca Trevisi
- Neurosurgical Unit, Presidio Ospedaliero Santo Spirito, IT-65124 Pescara, Italy.
| | - Maria Vittoria Mattoli
- Department of Neurosciences, Imaging and Clinical Sciences, "G. D'Annunzio" University, IT-66100 Chieti, Italy.
| | - Domenico Albano
- Department of Nuclear Medicine, Spedali Civili of Brescia and University of Brescia, IT-25123 Brescia, Italy.
| | - Francesco Bertagna
- Department of Nuclear Medicine, Spedali Civili of Brescia and University of Brescia, IT-25123 Brescia, Italy.
| | - Luca Giovanella
- Clinic of Nuclear Medicine and PET/CT Center, Imaging Institute of Southern Switzerland, Ente Ospedaliero Cantonale, CH-6500 Bellinzona, Switzerland.
- Department of Nuclear Medicine, University Hospital Zurich and University of Zurich, CH-8091 Zurich, Switzerland.
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17
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Alongi P, Vetrano IG, Fiasconaro E, Alaimo V, Laudicella R, Bellavia M, Rubino F, Bagnato S, Galardi G. Choline-PET/CT in the Differential Diagnosis Between Cystic Glioblastoma and Intraparenchymal Hemorrhage. Curr Radiopharm 2019; 12:88-92. [PMID: 30117406 DOI: 10.2174/1874471011666180817122427] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2018] [Revised: 07/25/2018] [Accepted: 07/31/2018] [Indexed: 01/09/2023]
Abstract
OBJECTIVE Glioblastoma multiforme (GBM) represents the most common and malignant glioma, accounting for 45%-50% of all gliomas. The median survival time for patients with glioblastoma is only 12-15 months after surgical, chemioterapic and radiotherapic treatment; a correct diagnosis is naturally fundamental to establish a rapid and correct therapy. Non-invasive imaging plays a pivotal role in each phase of the diagnostic workup of patients with suspected for diagnosis. The aim of this case report was to describe the potential clinical impact of 18F-fluorocholine (FCH) PET/CT in the assessment of a cystic GBM mimicking a spontaneous hemorrhage. METHODS a 57 years-old male with intraparenchymal hemorrhage at CT imaging initially in reduction ad serial imaging and suspected right fronto-temporo-parietal lesion at MRI underwent dynamic and static (60' after tracer injection) FCH PET/CT of the brain. RESULTS FCH PET/CT showed rapid tracer uptake after few second from injection at dynamic acquisition and consequent incremental mild uptake at static imaging after 60 minutes at the level of oval formation in the right cerebral hemisphere characterized by annular and peripheral high metabolic activity. The central region of the lesion was characterized by the absence 18F-FCH uptake most likely due to blood component. The patient underwent surgery for tumor removal; the histopathological examination confirmed the suspect of GBM. Chemo-radiotherapic adjuvant protocol according to Stupp protocol was therefore administrated; to date the patient is alive without any progression disease at 5 months from treatment. CONCLUSION In this case report FCH PET/CT represented the final diagnostic technique to confirm the suspicious of a cystic GBM. Our case demonstrated the potential role of 18F-FCH PET/CT for discrimination of higher proliferation area over intraparenchymal hemorrhage, supporting the potential use of this imaging biomarker in surgical or radiosurgical approach. Obviously, further prospective studies are needed to confirm this role and to exactly define possible routinely applications.
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Affiliation(s)
- Pierpaolo Alongi
- Department of Radiological Sciences, Nuclear Medicine Service, Fondazione Istituto G. Giglio, Cefalu, Italy
| | | | - Elisa Fiasconaro
- Department of Radiological Sciences, Nuclear Medicine Service, Fondazione Istituto G. Giglio, Cefalu, Italy
| | - Valerio Alaimo
- Department of Radiological Sciences, Radiology Unit, Fondazione Istituto G. Giglio, Cefalu, Italy
| | - Riccardo Laudicella
- Department of Biomedical and Dental Sciences and Morphofunctional Imaging, University of Messina, Messina, Italy and University Hospital "Gaetano Martino", Messina, Italy
| | - Marina Bellavia
- Neurorehabilitation Unit, Department of Rehabilitation, Fondazione Istituto G. Giglio, Cefalu, Italy
| | - Francesca Rubino
- Neurorehabilitation Unit, Department of Rehabilitation, Fondazione Istituto G. Giglio, Cefalu, Italy
| | - Sergio Bagnato
- Neurophysiology Unit, Department of Rehabilitation, Fondazione Istituto G. Giglio, Cefalu, Italy
| | - Giuseppe Galardi
- Neurorehabilitation Unit, Department of Rehabilitation, Fondazione Istituto G. Giglio, Cefalu, Italy.,Neurophysiology Unit, Department of Rehabilitation, Fondazione Istituto G. Giglio, Cefalu, Italy
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18
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Hashimoto S, Inaji M, Nariai T, Kobayashi D, Sanjo N, Yokota T, Ishii K, Taketoshi M. Usefulness of [ 11C] Methionine PET in the Differentiation of Tumefactive Multiple Sclerosis from High Grade Astrocytoma. Neurol Med Chir (Tokyo) 2019; 59:176-183. [PMID: 30996153 PMCID: PMC6527963 DOI: 10.2176/nmc.oa.2018-0287] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
Tumefactive multiple sclerosis (tumefactive MS) is an atypical variant of MS characterized by a large isolated demyelinating lesion. Because tumefactive MS mimics high grade astrocytoma clinically and radiologically, it is difficult to distinguish between the two using only traditional diagnostic modalities, such as routine magnetic resonance imaging. [11C] methionine positron emission tomography (MET PET) has been known as a useful diagnostic tool for glioma. However, it has not been established as a diagnostic tool for tumefactive MS yet. Therefore, the objective of this study was to evaluate the performance of MET PET in differentiating tumefactive MS from high grade astrocytoma. We studied patients with tumefactive MS [six patients (three men, three women), 7 lesions] and 77 patients with astrocytoma (World Health Organization grade II: 13 patients, grade III: 28 patients, and grade IV: 36 patients), and we compared MET uptake of tumefactive demyelinating lesions and astrocytoma. For MET PET analysis, Lesion/Normal region ratios (L/N ratios) were calculated and compared between tumefactive demyelinating lesions and astrocytoma. On MET PET, the L mean/N ratio of tumefactive MS was 1.18 ± 0.50, which was significantly lower than that of high-grade glioma (astrocytoma grade III: 1.95 ± 0.62, P = 0.006; grade IV: 2.35 ± 0.54, P <0.0001). The L maximum (L max)/N ratio of tumefactive demyelinating lesion was also significantly lower than that of high grade astrocytoma (tumefactive MS: 1.89 ± 0.55; astrocytoma grade III: 3.37 ± 1.36, P = 0.0232; astrocytoma grade IV: 4.35 ± 1.30, P <0.0001). In conclusion, MET PET can help differentiate tumefactive MS from high grade astrocytoma.
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Affiliation(s)
| | - Motoki Inaji
- Department of Neurosurgery, Tokyo Medical and Dental University.,Research Team for Neuroimaging, Tokyo Metropolitan Institute of Gerontology
| | - Tadashi Nariai
- Department of Neurosurgery, Tokyo Medical and Dental University.,Research Team for Neuroimaging, Tokyo Metropolitan Institute of Gerontology
| | | | - Nobuo Sanjo
- Department of Neurology and Neurological Science, Tokyo Medical and Dental University
| | - Takanori Yokota
- Department of Neurology and Neurological Science, Tokyo Medical and Dental University
| | - Kenji Ishii
- Research Team for Neuroimaging, Tokyo Metropolitan Institute of Gerontology
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19
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Liu Z, Ehlerding EB, Cai W, Lan X. One-step synthesis of an 18F-labeled boron-derived methionine analog: a substitute for 11C-methionine? Eur J Nucl Med Mol Imaging 2018; 45:582-584. [PMID: 29349488 DOI: 10.1007/s00259-017-3927-6] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2017] [Accepted: 12/28/2017] [Indexed: 11/29/2022]
Abstract
Amino acid-based tracers have been extensively investigated for positron emission tomography (PET) imaging of brain tumors, and 11C-methionine (11C-MET) is one of the most extensively investigated. However, widespread clinical use of 11C-MET is challenging due to the short half-life of 11C and low radiolabeling yield. In this issue of the European Journal of Nuclear Medicine and Molecular Imaging, Yang and colleagues report an 18F-labeled boron-derived methionine analog, 18F-B-MET, as a potential substitute for 11C-MET in PET imaging of glioma. The push-button synthesis, highly efficient radiolabeling, and good imaging performance in glioma models make this tracer a promising candidate for future clinical translation.
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Affiliation(s)
- Zhen Liu
- Department of Nuclear Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.,Hubei Key Laboratory of Molecular Imaging, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Emily B Ehlerding
- Department of Medical Physics, University of Wisconsin - Madison, Madison, WI, USA
| | - Weibo Cai
- Department of Medical Physics, University of Wisconsin - Madison, Madison, WI, USA. .,Department of Radiology, University of Wisconsin - Madison, 1111 Highland Avenue, Madison, WI, 53705, USA. .,Carbone Cancer Center, University of Wisconsin - Madison, Madison, WI, 53705, USA.
| | - Xiaoli Lan
- Department of Nuclear Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China. .,Hubei Key Laboratory of Molecular Imaging, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
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