Differentiation of astrocytoma between grades II and III using a combination of methionine positron emission tomography and magnetic resonance spectroscopy
This study aimed to establish a method for differentiating between grades II and III astrocytomas using preoperative imaging. We retrospectively analyzed astrocytic tumors, including 18 grade II astrocytomas (isocitrate dehydrogenase (IDH)-mutant: IDH-wildtype = 8:10) and 56 grade III anaplastic ast...
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| Published in: | World neurosurgery: X Vol. 19; p. 100193 |
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| Abstract | This study aimed to establish a method for differentiating between grades II and III astrocytomas using preoperative imaging.
We retrospectively analyzed astrocytic tumors, including 18 grade II astrocytomas (isocitrate dehydrogenase (IDH)-mutant: IDH-wildtype = 8:10) and 56 grade III anaplastic astrocytomas (37:19). We recorded the maximum methionine (MET) uptake ratios (tumor-to-normal: T/N) on positron emission tomography (PET) and three MRS peak ratios: choline (Cho)/creatine (Cr), N-acetyl aspartate (NAA)/Cr, and Cho/NAA, between June 2015 and June 2020. We then evaluated the cut-off values to differentiate between grades II and III. We compared the grading results between contrast enhancement effects on MR and combinational diagnostic methods (CDM) on a scatter chart using the cutoff values of the T/N ratio and MRS parameters.
The IDH-mutant group showed significant differences in the Cho/NAA ratio between grades II and III using univariate analysis; however, multiple regression analysis results negated this. The IDH-wildtype group showed no significant differences between the groups. Contrast enhancement effects also showed no significant differences in IDH status. Accordingly, regardless of the IDH status, no statistically independent factors differentiated between grades II and III. However, CDMs showed higher sensitivity and negative predictive value in distinguishing them than MRI contrast examinations for both IDH statuses. We demonstrated a significantly higher diagnostic rate of grade III than of grade II with CDM, which was more striking in the IDH-mutant group than in the wild-type group.
CDM could be valuable in differentiating between grade II and III astrocytic tumors. |
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| AbstractList | This study aimed to establish a method for differentiating between grades II and III astrocytomas using preoperative imaging.
We retrospectively analyzed astrocytic tumors, including 18 grade II astrocytomas (isocitrate dehydrogenase (IDH)-mutant: IDH-wildtype = 8:10) and 56 grade III anaplastic astrocytomas (37:19). We recorded the maximum methionine (MET) uptake ratios (tumor-to-normal: T/N) on positron emission tomography (PET) and three MRS peak ratios: choline (Cho)/creatine (Cr), N-acetyl aspartate (NAA)/Cr, and Cho/NAA, between June 2015 and June 2020. We then evaluated the cut-off values to differentiate between grades II and III. We compared the grading results between contrast enhancement effects on MR and combinational diagnostic methods (CDM) on a scatter chart using the cutoff values of the T/N ratio and MRS parameters.
The IDH-mutant group showed significant differences in the Cho/NAA ratio between grades II and III using univariate analysis; however, multiple regression analysis results negated this. The IDH-wildtype group showed no significant differences between the groups. Contrast enhancement effects also showed no significant differences in IDH status. Accordingly, regardless of the IDH status, no statistically independent factors differentiated between grades II and III. However, CDMs showed higher sensitivity and negative predictive value in distinguishing them than MRI contrast examinations for both IDH statuses. We demonstrated a significantly higher diagnostic rate of grade III than of grade II with CDM, which was more striking in the IDH-mutant group than in the wild-type group.
CDM could be valuable in differentiating between grade II and III astrocytic tumors. ObjectiveThis study aimed to establish a method for differentiating between grades II and III astrocytomas using preoperative imaging. MethodsWe retrospectively analyzed astrocytic tumors, including 18 grade II astrocytomas (isocitrate dehydrogenase (IDH)-mutant: IDH-wildtype = 8:10) and 56 grade III anaplastic astrocytomas (37:19). We recorded the maximum methionine (MET) uptake ratios (tumor-to-normal: T/N) on positron emission tomography (PET) and three MRS peak ratios: choline (Cho)/creatine (Cr), N-acetyl aspartate (NAA)/Cr, and Cho/NAA, between June 2015 and June 2020. We then evaluated the cut-off values to differentiate between grades II and III. We compared the grading results between contrast enhancement effects on MR and combinational diagnostic methods (CDM) on a scatter chart using the cutoff values of the T/N ratio and MRS parameters. ResultsThe IDH-mutant group showed significant differences in the Cho/NAA ratio between grades II and III using univariate analysis; however, multiple regression analysis results negated this. The IDH-wildtype group showed no significant differences between the groups. Contrast enhancement effects also showed no significant differences in IDH status. Accordingly, regardless of the IDH status, no statistically independent factors differentiated between grades II and III. However, CDMs showed higher sensitivity and negative predictive value in distinguishing them than MRI contrast examinations for both IDH statuses. We demonstrated a significantly higher diagnostic rate of grade III than of grade II with CDM, which was more striking in the IDH-mutant group than in the wild-type group. ConclusionsCDM could be valuable in differentiating between grade II and III astrocytic tumors. Objective: This study aimed to establish a method for differentiating between grades II and III astrocytomas using preoperative imaging. Methods: We retrospectively analyzed astrocytic tumors, including 18 grade II astrocytomas (isocitrate dehydrogenase (IDH)-mutant: IDH-wildtype = 8:10) and 56 grade III anaplastic astrocytomas (37:19). We recorded the maximum methionine (MET) uptake ratios (tumor-to-normal: T/N) on positron emission tomography (PET) and three MRS peak ratios: choline (Cho)/creatine (Cr), N-acetyl aspartate (NAA)/Cr, and Cho/NAA, between June 2015 and June 2020. We then evaluated the cut-off values to differentiate between grades II and III. We compared the grading results between contrast enhancement effects on MR and combinational diagnostic methods (CDM) on a scatter chart using the cutoff values of the T/N ratio and MRS parameters. Results: The IDH-mutant group showed significant differences in the Cho/NAA ratio between grades II and III using univariate analysis; however, multiple regression analysis results negated this. The IDH-wildtype group showed no significant differences between the groups. Contrast enhancement effects also showed no significant differences in IDH status. Accordingly, regardless of the IDH status, no statistically independent factors differentiated between grades II and III. However, CDMs showed higher sensitivity and negative predictive value in distinguishing them than MRI contrast examinations for both IDH statuses. We demonstrated a significantly higher diagnostic rate of grade III than of grade II with CDM, which was more striking in the IDH-mutant group than in the wild-type group. Conclusions: CDM could be valuable in differentiating between grade II and III astrocytic tumors. |
| ArticleNumber | 100193 |
| Author | Ikuta, Soko Maruyama, Takashi Shinoda, Jun Miwa, Kazuhiro Ohe, Naoyuki Kumagai, Morio Ohmura, Kazufumi Ikegame, Yuka Yano, Hirohito Muragaki, Yoshihiro Yamada, Tetsuya Owashi, Etsuko Yokoyama, Kazutoshi Iwama, Toru Takei, Hiroaki Nakayama, Noriyuki |
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| Cites_doi | 10.1007/s11060-012-0873-9 10.1016/j.wneu.2021.01.012 10.1023/A:1024249232454 10.1093/neuonc/noy113 10.1007/s00259-017-3618-3 10.3348/kjr.2018.0690 10.1016/j.nicl.2019.101835 10.3174/ajnr.A5421 10.1007/s00234-001-0760-0 10.1111/j.1349-7006.1995.tb03059.x 10.3389/fonc.2020.01200 10.3174/ajnr.A1008 10.3174/ajnr.A5218 10.1007/s00259-017-3846-6 10.1016/j.wneu.2019.02.031 10.1007/s00234-006-0066-3 10.1016/j.clineuro.2012.11.002 10.1007/s00259-019-04337-0 10.1016/j.crad.2020.03.033 |
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| Keywords | MRI Cho IDH CDM AUC Cr MRS Magnetic resonance spectroscopy T/N WI NPV PPV Grading Isocitrate dehydrogenase Methionine ROC HGG FOV LGG ROI NAA TE A-II Glioma A-III SUV TI Positron emission tomography Gd MET PET TR |
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| References | Harada, Tanouchi, Nishitani, Miyoshi, Bandou, Kannuki (bib18) 1995; 86 Riva, Lopci, Castellano (bib9) 2019; 126 Kudulaiti, Qiu, Lu (bib20) 2019; 20 Okita, Shofuda, Kanematsu (bib25) 2020; 75 Takei, Shinoda, Ikuta (bib4) 2019; 133 (bib26) 2022 McKnight, Lamborn, Love (bib21) 2007; 106 Law, Yang, Wang (bib12) 2003; 24 Aki, Nakayama, Yonezawa (bib3) 2012; 109 Delgado, Delgado (bib24) 2017; 38 Kato, Shinoda, Nakayama (bib2) 2008; 29 Zhou, Zhou, Wen (bib14) 2020; 10 Verger, Stoffels, Bauer (bib15) 2018; 45 Lopci, Riva, Olivari (bib10) 2017; 44 Nafe, Herminghaus, Raab (bib8) 2003; 63 Chen, Huang, Li, Chen (bib22) 2006; 48 Möller-Hartmann, Herminghaus, Krings (bib19) 2002; 44 Kim, Chun, Kim (bib6) 2019; 46 Likavcanová, Dobrota, Liptaj (bib23) 2005; 24 Suh, Kim, Jung, Choi, Kim (bib17) 2018; 20 Nakajo, Uda, Kawashima (bib5) 2021; 148 Londoño, Castillo, Armao, Kwock, Suzuki (bib7) 2003; 24 Qi, Li, Fan (bib13) 2019; 23 Park, Han, Ahn (bib16) 2018; 39 (bib1) 2016 Bulik, Jancalek, Vanicek, Skoch, Mechl (bib11) 2013; 115 Riva (10.1016/j.wnsx.2023.100193_bib9) 2019; 126 Law (10.1016/j.wnsx.2023.100193_bib12) 2003; 24 Möller-Hartmann (10.1016/j.wnsx.2023.100193_bib19) 2002; 44 Aki (10.1016/j.wnsx.2023.100193_bib3) 2012; 109 Lopci (10.1016/j.wnsx.2023.100193_bib10) 2017; 44 Delgado (10.1016/j.wnsx.2023.100193_bib24) 2017; 38 Verger (10.1016/j.wnsx.2023.100193_bib15) 2018; 45 Bulik (10.1016/j.wnsx.2023.100193_bib11) 2013; 115 Likavcanová (10.1016/j.wnsx.2023.100193_bib23) 2005; 24 Takei (10.1016/j.wnsx.2023.100193_bib4) 2019; 133 Park (10.1016/j.wnsx.2023.100193_bib16) 2018; 39 (10.1016/j.wnsx.2023.100193_bib1) 2016 Nakajo (10.1016/j.wnsx.2023.100193_bib5) 2021; 148 Kim (10.1016/j.wnsx.2023.100193_bib6) 2019; 46 McKnight (10.1016/j.wnsx.2023.100193_bib21) 2007; 106 Nafe (10.1016/j.wnsx.2023.100193_bib8) 2003; 63 (10.1016/j.wnsx.2023.100193_bib26) 2022 Kato (10.1016/j.wnsx.2023.100193_bib2) 2008; 29 Suh (10.1016/j.wnsx.2023.100193_bib17) 2018; 20 Zhou (10.1016/j.wnsx.2023.100193_bib14) 2020; 10 Okita (10.1016/j.wnsx.2023.100193_bib25) 2020; 75 Londoño (10.1016/j.wnsx.2023.100193_bib7) 2003; 24 Harada (10.1016/j.wnsx.2023.100193_bib18) 1995; 86 Qi (10.1016/j.wnsx.2023.100193_bib13) 2019; 23 Kudulaiti (10.1016/j.wnsx.2023.100193_bib20) 2019; 20 Chen (10.1016/j.wnsx.2023.100193_bib22) 2006; 48 |
| References_xml | – volume: 133 start-page: 1010 year: 2019 end-page: 1019 ident: bib4 article-title: Usefulness of positron emission tomography for differentiating gliomas according to the 2016 World Health Organization classification of tumors of the central nervous system publication-title: J Neurosurg contributor: fullname: Ikuta – volume: 20 start-page: 967 year: 2019 end-page: 975 ident: bib20 article-title: Combination of magnetic resonance spectroscopy and publication-title: Korean J Radiol contributor: fullname: Lu – volume: 10 start-page: 1200 year: 2020 ident: bib14 article-title: A nomogram modeling 11C-MET PET/CT and clinical features in glioma helps predict IDH mutation publication-title: Front Oncol contributor: fullname: Wen – volume: 115 start-page: 146 year: 2013 end-page: 153 ident: bib11 article-title: Potential of MR spectroscopy for assessment of glioma grading publication-title: Clin Neurol Neurosurg contributor: fullname: Mechl – volume: 63 start-page: 233 year: 2003 end-page: 245 ident: bib8 article-title: Preoperative proton-MR spectroscopy of gliomas--correlation with quantitative nuclear morphology in surgical specimen publication-title: J Neuro Oncol contributor: fullname: Raab – volume: 106 start-page: 660 year: 2007 end-page: 666 ident: bib21 article-title: Correlation of magnetic resonance spectroscopic and growth characteristics within Grades II and III gliomas publication-title: J Neurosurg contributor: fullname: Love – volume: 44 start-page: 371 year: 2002 end-page: 381 ident: bib19 article-title: Clinical application of proton magnetic resonance spectroscopy in the diagnosis of intracranial mass lesions publication-title: Neuroradiology contributor: fullname: Krings – volume: 24 start-page: 1989 year: 2003 end-page: 1998 ident: bib12 article-title: Glioma grading: sensitivity, specificity, and predictive values of perfusion MR imaging and proton MR spectroscopic imaging compared with conventional MR imaging publication-title: AJNR Am J Neuroradiol contributor: fullname: Wang – volume: 46 start-page: 1678 year: 2019 end-page: 1684 ident: bib6 article-title: Re-evaluation of the diagnostic performance of 11C-methionine PET/CT according to the 2016 WHO classification of cerebral gliomas publication-title: Eur J Nucl Med Mol Imag contributor: fullname: Kim – volume: 148 start-page: e471 year: 2021 end-page: e481 ident: bib5 article-title: Diagnostic performance of [11C]methionine positron emission tomography in newly diagnosed and untreated glioma based on the revised World Health organization 2016 classification publication-title: World Neurosurg contributor: fullname: Kawashima – volume: 126 start-page: e270 year: 2019 end-page: e280 ident: bib9 article-title: Lower grade gliomas: relationships between metabolic and structural imaging with grading and molecular factors publication-title: World Neurosurg contributor: fullname: Castellano – volume: 39 start-page: 37 year: 2018 end-page: 42 ident: bib16 article-title: Prediction of IDH1-mutation and 1p/19q-codeletion status using preoperative MR imaging phenotypes in lower grade gliomas publication-title: AJNR Am J Neuroradiol contributor: fullname: Ahn – year: 2016 ident: bib1 publication-title: WHO Classification of Tumours of the Central Nervous System – volume: 44 start-page: 1155 year: 2017 end-page: 1164 ident: bib10 article-title: Prognostic value of molecular and imaging biomarkers in patients with supratentorial glioma publication-title: Eur J Nucl Med Mol Imag contributor: fullname: Olivari – volume: 86 start-page: 329 year: 1995 end-page: 332 ident: bib18 article-title: Non-invasive characterization of brain tumor by in-vivo proton magnetic resonance spectroscopy publication-title: Jpn J Cancer Res contributor: fullname: Kannuki – volume: 29 start-page: 1176 year: 2008 end-page: 1182 ident: bib2 article-title: Metabolic assessment of gliomas using 11C-methionine, [18F] fluorodeoxyglucose, and 11C-choline positron-emission tomography publication-title: AJNR Am J Neuroradiol contributor: fullname: Nakayama – volume: 20 start-page: 1573 year: 2018 end-page: 1583 ident: bib17 article-title: 2-Hydroxyglutarate MR spectroscopy for prediction of isocitrate dehydrogenase mutant glioma: a systemic review and meta-analysis using individual patient data publication-title: Neuro Oncol contributor: fullname: Kim – year: 2022 ident: bib26 publication-title: WHO Classification of Tumours – volume: 45 start-page: 443 year: 2018 end-page: 451 ident: bib15 article-title: Static and dynamic 18F-FET PET for the characterization of gliomas defined by IDH and 1p/19q status publication-title: Eur J Nucl Med Mol Imag contributor: fullname: Bauer – volume: 23 year: 2019 ident: bib13 article-title: A quantitative SVM approach potentially improves the accuracy of magnetic resonance spectroscopy in the preoperative evaluation of the grades of diffuse gliomas publication-title: Neuroimage Clin contributor: fullname: Fan – volume: 109 start-page: 115 year: 2012 end-page: 122 ident: bib3 article-title: Evaluation of brain tumors using dynamic 11C-methionine-PET publication-title: J Neuro Oncol contributor: fullname: Yonezawa – volume: 75 start-page: 622 year: 2020 end-page: 628 ident: bib25 article-title: The association between 11C-methionine uptake, IDH gene mutation, and MGMT promoter methylation in patients with grade II and III gliomas publication-title: Clin Radiol contributor: fullname: Kanematsu – volume: 24 start-page: 327 year: 2005 end-page: 335 ident: bib23 article-title: In vitro study of astrocytic tumour metabolism by proton magnetic resonance spectroscopy publication-title: Gen Physiol Biophys contributor: fullname: Liptaj – volume: 38 start-page: 1348 year: 2017 end-page: 1355 ident: bib24 article-title: Discrimination between glioma grades II and III using dynamic susceptibility perfusion MRI: a meta-analysis publication-title: AJNR Am J Neuroradiol contributor: fullname: Delgado – volume: 48 start-page: 312 year: 2006 end-page: 318 ident: bib22 article-title: In vivo research in astrocytoma cell proliferation with 1H-magnetic resonance spectroscopy: correlation with histopathology and immunohistochemistry publication-title: Neuroradiology contributor: fullname: Chen – volume: 24 start-page: 942 year: 2003 end-page: 945 ident: bib7 article-title: Unusual MR spectroscopic imaging pattern of an astrocytoma: lack of elevated choline and high myo-inositol and glycine levels publication-title: AJNR Am J Neuroradiol contributor: fullname: Suzuki – volume: 109 start-page: 115 year: 2012 ident: 10.1016/j.wnsx.2023.100193_bib3 article-title: Evaluation of brain tumors using dynamic 11C-methionine-PET publication-title: J Neuro Oncol doi: 10.1007/s11060-012-0873-9 contributor: fullname: Aki – volume: 148 start-page: e471 year: 2021 ident: 10.1016/j.wnsx.2023.100193_bib5 article-title: Diagnostic performance of [11C]methionine positron emission tomography in newly diagnosed and untreated glioma based on the revised World Health organization 2016 classification publication-title: World Neurosurg doi: 10.1016/j.wneu.2021.01.012 contributor: fullname: Nakajo – volume: 63 start-page: 233 year: 2003 ident: 10.1016/j.wnsx.2023.100193_bib8 article-title: Preoperative proton-MR spectroscopy of gliomas--correlation with quantitative nuclear morphology in surgical specimen publication-title: J Neuro Oncol doi: 10.1023/A:1024249232454 contributor: fullname: Nafe – volume: 20 start-page: 1573 year: 2018 ident: 10.1016/j.wnsx.2023.100193_bib17 article-title: 2-Hydroxyglutarate MR spectroscopy for prediction of isocitrate dehydrogenase mutant glioma: a systemic review and meta-analysis using individual patient data publication-title: Neuro Oncol doi: 10.1093/neuonc/noy113 contributor: fullname: Suh – volume: 44 start-page: 1155 year: 2017 ident: 10.1016/j.wnsx.2023.100193_bib10 article-title: Prognostic value of molecular and imaging biomarkers in patients with supratentorial glioma publication-title: Eur J Nucl Med Mol Imag doi: 10.1007/s00259-017-3618-3 contributor: fullname: Lopci – volume: 20 start-page: 967 year: 2019 ident: 10.1016/j.wnsx.2023.100193_bib20 article-title: Combination of magnetic resonance spectroscopy and 11C-methionine positron emission tomography for the accurate diagnosis of non-enhancing supratentorial glioma publication-title: Korean J Radiol doi: 10.3348/kjr.2018.0690 contributor: fullname: Kudulaiti – volume: 23 year: 2019 ident: 10.1016/j.wnsx.2023.100193_bib13 article-title: A quantitative SVM approach potentially improves the accuracy of magnetic resonance spectroscopy in the preoperative evaluation of the grades of diffuse gliomas publication-title: Neuroimage Clin doi: 10.1016/j.nicl.2019.101835 contributor: fullname: Qi – volume: 39 start-page: 37 year: 2018 ident: 10.1016/j.wnsx.2023.100193_bib16 article-title: Prediction of IDH1-mutation and 1p/19q-codeletion status using preoperative MR imaging phenotypes in lower grade gliomas publication-title: AJNR Am J Neuroradiol doi: 10.3174/ajnr.A5421 contributor: fullname: Park – volume: 44 start-page: 371 year: 2002 ident: 10.1016/j.wnsx.2023.100193_bib19 article-title: Clinical application of proton magnetic resonance spectroscopy in the diagnosis of intracranial mass lesions publication-title: Neuroradiology doi: 10.1007/s00234-001-0760-0 contributor: fullname: Möller-Hartmann – volume: 106 start-page: 660 year: 2007 ident: 10.1016/j.wnsx.2023.100193_bib21 article-title: Correlation of magnetic resonance spectroscopic and growth characteristics within Grades II and III gliomas publication-title: J Neurosurg contributor: fullname: McKnight – volume: 86 start-page: 329 year: 1995 ident: 10.1016/j.wnsx.2023.100193_bib18 article-title: Non-invasive characterization of brain tumor by in-vivo proton magnetic resonance spectroscopy publication-title: Jpn J Cancer Res doi: 10.1111/j.1349-7006.1995.tb03059.x contributor: fullname: Harada – volume: 24 start-page: 1989 year: 2003 ident: 10.1016/j.wnsx.2023.100193_bib12 article-title: Glioma grading: sensitivity, specificity, and predictive values of perfusion MR imaging and proton MR spectroscopic imaging compared with conventional MR imaging publication-title: AJNR Am J Neuroradiol contributor: fullname: Law – volume: 133 start-page: 1010 year: 2019 ident: 10.1016/j.wnsx.2023.100193_bib4 article-title: Usefulness of positron emission tomography for differentiating gliomas according to the 2016 World Health Organization classification of tumors of the central nervous system publication-title: J Neurosurg contributor: fullname: Takei – volume: 10 start-page: 1200 year: 2020 ident: 10.1016/j.wnsx.2023.100193_bib14 article-title: A nomogram modeling 11C-MET PET/CT and clinical features in glioma helps predict IDH mutation publication-title: Front Oncol doi: 10.3389/fonc.2020.01200 contributor: fullname: Zhou – volume: 29 start-page: 1176 year: 2008 ident: 10.1016/j.wnsx.2023.100193_bib2 article-title: Metabolic assessment of gliomas using 11C-methionine, [18F] fluorodeoxyglucose, and 11C-choline positron-emission tomography publication-title: AJNR Am J Neuroradiol doi: 10.3174/ajnr.A1008 contributor: fullname: Kato – volume: 38 start-page: 1348 year: 2017 ident: 10.1016/j.wnsx.2023.100193_bib24 article-title: Discrimination between glioma grades II and III using dynamic susceptibility perfusion MRI: a meta-analysis publication-title: AJNR Am J Neuroradiol doi: 10.3174/ajnr.A5218 contributor: fullname: Delgado – volume: 45 start-page: 443 year: 2018 ident: 10.1016/j.wnsx.2023.100193_bib15 article-title: Static and dynamic 18F-FET PET for the characterization of gliomas defined by IDH and 1p/19q status publication-title: Eur J Nucl Med Mol Imag doi: 10.1007/s00259-017-3846-6 contributor: fullname: Verger – year: 2022 ident: 10.1016/j.wnsx.2023.100193_bib26 – volume: 24 start-page: 942 year: 2003 ident: 10.1016/j.wnsx.2023.100193_bib7 article-title: Unusual MR spectroscopic imaging pattern of an astrocytoma: lack of elevated choline and high myo-inositol and glycine levels publication-title: AJNR Am J Neuroradiol contributor: fullname: Londoño – volume: 126 start-page: e270 year: 2019 ident: 10.1016/j.wnsx.2023.100193_bib9 article-title: Lower grade gliomas: relationships between metabolic and structural imaging with grading and molecular factors publication-title: World Neurosurg doi: 10.1016/j.wneu.2019.02.031 contributor: fullname: Riva – volume: 24 start-page: 327 year: 2005 ident: 10.1016/j.wnsx.2023.100193_bib23 article-title: In vitro study of astrocytic tumour metabolism by proton magnetic resonance spectroscopy publication-title: Gen Physiol Biophys contributor: fullname: Likavcanová – volume: 48 start-page: 312 year: 2006 ident: 10.1016/j.wnsx.2023.100193_bib22 article-title: In vivo research in astrocytoma cell proliferation with 1H-magnetic resonance spectroscopy: correlation with histopathology and immunohistochemistry publication-title: Neuroradiology doi: 10.1007/s00234-006-0066-3 contributor: fullname: Chen – volume: 115 start-page: 146 year: 2013 ident: 10.1016/j.wnsx.2023.100193_bib11 article-title: Potential of MR spectroscopy for assessment of glioma grading publication-title: Clin Neurol Neurosurg doi: 10.1016/j.clineuro.2012.11.002 contributor: fullname: Bulik – year: 2016 ident: 10.1016/j.wnsx.2023.100193_bib1 – volume: 46 start-page: 1678 year: 2019 ident: 10.1016/j.wnsx.2023.100193_bib6 article-title: Re-evaluation of the diagnostic performance of 11C-methionine PET/CT according to the 2016 WHO classification of cerebral gliomas publication-title: Eur J Nucl Med Mol Imag doi: 10.1007/s00259-019-04337-0 contributor: fullname: Kim – volume: 75 start-page: 622 year: 2020 ident: 10.1016/j.wnsx.2023.100193_bib25 article-title: The association between 11C-methionine uptake, IDH gene mutation, and MGMT promoter methylation in patients with grade II and III gliomas publication-title: Clin Radiol doi: 10.1016/j.crad.2020.03.033 contributor: fullname: Okita |
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We retrospectively analyzed... ObjectiveThis study aimed to establish a method for differentiating between grades II and III astrocytomas using preoperative imaging. MethodsWe... Objective: This study aimed to establish a method for differentiating between grades II and III astrocytomas using preoperative imaging. Methods: We... |
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| SubjectTerms | Glioma Grading Isocitrate dehydrogenase Magnetic resonance spectroscopy Methionine Original Positron emission tomography |
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| Title | Differentiation of astrocytoma between grades II and III using a combination of methionine positron emission tomography and magnetic resonance spectroscopy |
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