AIMS: Amino acid PET and magnetic resonance spectroscopy (MRS) are at the forefront of noninvasive imaging techniques used for detection and subtyping of glioma-suspicious lesions. In this pilot study, we compare L-methyl-C-methionine PET and MRS for their ability to predict glioma subtypes. METHODS: Nineteen patients with histologically, confirmed newly diagnosed glioma underwent preoperative L-methyl-C-methionine PET and MRS in 1 diagnostic session. According to the molecular portfolio and histopathologic diagnosis, patients were subdivided in isocitrate dehydrogenase (IDH) wild-type glioblastoma, IDH wild-type grade II/III glioma, IDH-mutant grade II/III glioma without 1p/19q codeletion, and with 1p/19q codeletion subgroups. Maximum tumor-to-brain ratio (TBRmax), creatine, choline, and N-acetyl aspartate peaks were correlated with postoperative histopathologic tumor diagnoses. RESULTS: Maximum tumor-to-brain ratio was highest in glioblastoma patients (4.18) followed by patients with IDH wild-type grade II and III glioma (3.41). The latter TBRmax values were higher compared with those in patients with IDH-mutant grade II/III glioma without 1p/19q codeletion (1.95) and in patients with IDH-mutant 1p/19q codeleted grade II and III glioma (2.79). Magnetic resonance spectroscopy marker distribution showed no clear trend. Receiver operating characteristic analysis revealed TBRmax to be the best performing parameter in identifying IDH status (area under the curve, 0.67) and all spectroscopy markers combined in identifying glioma subgroups (area under the curve, 0.68), respectively. CONCLUSIONS: L-Methyl-C-methionine PET and MRS bear limited potential in glioma subgrouping. L-Methyl-C-methionine PET appears to be superior in differentiating IDH status, whereas MRS is more helpful in glioma subgrouping.
AIMS: Amino acid PET and magnetic resonance spectroscopy (MRS) are at the forefront of noninvasive imaging techniques used for detection and subtyping of glioma-suspicious lesions. In this pilot study, we compare L-methyl-C-methionine PET and MRS for their ability to predict glioma subtypes. METHODS: Nineteen patients with histologically, confirmed newly diagnosed glioma underwent preoperative L-methyl-C-methionine PET and MRS in 1 diagnostic session. According to the molecular portfolio and histopathologic diagnosis, patients were subdivided in isocitrate dehydrogenase (IDH) wild-type glioblastoma, IDH wild-type grade II/III glioma, IDH-mutant grade II/III glioma without 1p/19q codeletion, and with 1p/19q codeletion subgroups. Maximum tumor-to-brain ratio (TBRmax), creatine, choline, and N-acetyl aspartate peaks were correlated with postoperative histopathologic tumor diagnoses. RESULTS: Maximum tumor-to-brain ratio was highest in glioblastomapatients (4.18) followed by patients with IDH wild-type grade II and III glioma (3.41). The latter TBRmax values were higher compared with those in patients with IDH-mutant grade II/III glioma without 1p/19q codeletion (1.95) and in patients with IDH-mutant 1p/19q codeleted grade II and III glioma (2.79). Magnetic resonance spectroscopy marker distribution showed no clear trend. Receiver operating characteristic analysis revealed TBRmax to be the best performing parameter in identifying IDH status (area under the curve, 0.67) and all spectroscopy markers combined in identifying glioma subgroups (area under the curve, 0.68), respectively. CONCLUSIONS:L-Methyl-C-methionine PET and MRS bear limited potential in glioma subgrouping. L-Methyl-C-methionine PET appears to be superior in differentiating IDH status, whereas MRS is more helpful in glioma subgrouping.
Authors: Sied Kebir; Laurèl Rauschenbach; Martin Glas; Manuel Weber; Lazaros Lazaridis; Teresa Schmidt; Kathy Keyvani; Niklas Schäfer; Asma Milia; Lale Umutlu; Daniela Pierscianek; Martin Stuschke; Michael Forsting; Ulrich Sure; Christoph Kleinschnitz; Gerald Antoch; Patrick M Colletti; Domenico Rubello; Ken Herrmann; Ulrich Herrlinger; Björn Scheffler; Ralph A Bundschuh Journal: J Neurooncol Date: 2021-01-27 Impact factor: 4.130
Authors: Gilbert Hangel; Philipp Lazen; Sukrit Sharma; Barbara Hristoska; Cornelius Cadrien; Julia Furtner; Ivo Rausch; Alexandra Lipka; Eva Niess; Lukas Hingerl; Stanislav Motyka; Stephan Gruber; Bernhard Strasser; Barbara Kiesel; Matthias Preusser; Thomas Roetzer-Pejrimovsky; Adelheid Wöhrer; Wolfgang Bogner; Georg Widhalm; Karl Rössler; Tatjana Traub-Weidinger; Siegfried Trattnig Journal: Cancers (Basel) Date: 2022-04-26 Impact factor: 6.575