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7T HR FID-MRSI Compared to Amino Acid PET: Glutamine and Glycine as Promising Biomarkers in Brain Tumors.
Cancers (Basel). 2022 Apr 26; 14(9)C

Abstract

(1) Background: Recent developments in 7T magnetic resonance spectroscopic imaging (MRSI) made the acquisition of high-resolution metabolic images in clinically feasible measurement times possible. The amino acids glutamine (Gln) and glycine (Gly) were identified as potential neuro-oncological markers of importance. For the first time, we compared 7T MRSI to amino acid PET in a cohort of glioma patients. (2) Methods: In 24 patients, we co-registered 7T MRSI and routine PET and compared hotspot volumes of interest (VOI). We evaluated dice similarity coefficients (DSC), volume, center of intensity distance (CoI), median and threshold values for VOIs of PET and ratios of total choline (tCho), Gln, Gly, myo-inositol (Ins) to total N-acetylaspartate (tNAA) or total creatine (tCr). (3) Results: We found that Gln and Gly ratios generally resulted in a higher correspondence to PET than tCho. Using cutoffs of 1.6-times median values of a control region, DSCs to PET were 0.53 ± 0.36 for tCho/tNAA, 0.66 ± 0.40 for Gln/tNAA, 0.57 ± 0.36 for Gly/tNAA, and 0.38 ± 0.31 for Ins/tNAA. (4) Conclusions: Our 7T MRSI data corresponded better to PET than previous studies at lower fields. Our results for Gln and Gly highlight the importance of future research (e.g., using Gln PET tracers) into the role of both amino acids.

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Authors+Show Affiliations

Hangel G
High-Field MR Center, Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, 1090 Vienna, Austria. Department of Neurosurgery, Medical University of Vienna, 1090 Vienna, Austria.
Lazen P
High-Field MR Center, Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, 1090 Vienna, Austria. Department of Neurosurgery, Medical University of Vienna, 1090 Vienna, Austria.
Sharma S
High-Field MR Center, Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, 1090 Vienna, Austria.
Hristoska B
High-Field MR Center, Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, 1090 Vienna, Austria. Department Applied Life Sciences, University of Applied Sciences Campus Vienna, 1100 Vienna, Austria.
Cadrien C
High-Field MR Center, Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, 1090 Vienna, Austria. Department of Neurosurgery, Medical University of Vienna, 1090 Vienna, Austria.
Furtner J
Division of Neuroradiology and Musculoskeletal Radiology, Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, 1090 Vienna, Austria.
Rausch I
Center for Medical Physics and Biomedical Engineering, Medical University of Vienna, 1090 Vienna, Austria.
Lipka A
High-Field MR Center, Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, 1090 Vienna, Austria.
Niess E
High-Field MR Center, Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, 1090 Vienna, Austria.
Hingerl L
High-Field MR Center, Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, 1090 Vienna, Austria.
Motyka S
High-Field MR Center, Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, 1090 Vienna, Austria.
Gruber S
High-Field MR Center, Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, 1090 Vienna, Austria.
Strasser B
High-Field MR Center, Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, 1090 Vienna, Austria.
Kiesel B
Department of Neurosurgery, Medical University of Vienna, 1090 Vienna, Austria.
Preusser M
Division of Oncology, Department of Internal Medicine I, Medical University of Vienna, 1090 Vienna, Austria.
Roetzer-Pejrimovsky T
Division of Neuropathology and Neurochemistry, Department of Neurology, Medical University of Vienna, 1090 Vienna, Austria.
Wöhrer A
Division of Neuropathology and Neurochemistry, Department of Neurology, Medical University of Vienna, 1090 Vienna, Austria.
Bogner W
High-Field MR Center, Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, 1090 Vienna, Austria.
Widhalm G
Department of Neurosurgery, Medical University of Vienna, 1090 Vienna, Austria.
Rössler K
Department of Neurosurgery, Medical University of Vienna, 1090 Vienna, Austria.
Traub-Weidinger T
Division of Nuclear Medicine, Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, 1090 Vienna, Austria.
Trattnig S
High-Field MR Center, Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, 1090 Vienna, Austria. Institute for Clinical Molecular MRI, Karl Landsteiner Society, 3100 St. Pölten, Austria. Christian Doppler Laboratory for Clinical Molecular MR Imaging, Christian Doppler Research Association, 1090 Vienna, Austria.

Pub Type(s)

Journal Article

Language

eng

PubMed ID

35565293

Citation

Hangel, Gilbert, et al. "7T HR FID-MRSI Compared to Amino Acid PET: Glutamine and Glycine as Promising Biomarkers in Brain Tumors." Cancers, vol. 14, no. 9, 2022.
Hangel G, Lazen P, Sharma S, et al. 7T HR FID-MRSI Compared to Amino Acid PET: Glutamine and Glycine as Promising Biomarkers in Brain Tumors. Cancers (Basel). 2022;14(9).
Hangel, G., Lazen, P., Sharma, S., Hristoska, B., Cadrien, C., Furtner, J., Rausch, I., Lipka, A., Niess, E., Hingerl, L., Motyka, S., Gruber, S., Strasser, B., Kiesel, B., Preusser, M., Roetzer-Pejrimovsky, T., Wöhrer, A., Bogner, W., Widhalm, G., ... Trattnig, S. (2022). 7T HR FID-MRSI Compared to Amino Acid PET: Glutamine and Glycine as Promising Biomarkers in Brain Tumors. Cancers, 14(9). https://doi.org/10.3390/cancers14092163
Hangel G, et al. 7T HR FID-MRSI Compared to Amino Acid PET: Glutamine and Glycine as Promising Biomarkers in Brain Tumors. Cancers (Basel). 2022 Apr 26;14(9) PubMed PMID: 35565293.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - 7T HR FID-MRSI Compared to Amino Acid PET: Glutamine and Glycine as Promising Biomarkers in Brain Tumors. AU - Hangel,Gilbert, AU - Lazen,Philipp, AU - Sharma,Sukrit, AU - Hristoska,Barbara, AU - Cadrien,Cornelius, AU - Furtner,Julia, AU - Rausch,Ivo, AU - Lipka,Alexandra, AU - Niess,Eva, AU - Hingerl,Lukas, AU - Motyka,Stanislav, AU - Gruber,Stephan, AU - Strasser,Bernhard, AU - Kiesel,Barbara, AU - Preusser,Matthias, AU - Roetzer-Pejrimovsky,Thomas, AU - Wöhrer,Adelheid, AU - Bogner,Wolfgang, AU - Widhalm,Georg, AU - Rössler,Karl, AU - Traub-Weidinger,Tatjana, AU - Trattnig,Siegfried, Y1 - 2022/04/26/ PY - 2022/03/16/received PY - 2022/04/21/revised PY - 2022/04/22/accepted PY - 2022/5/14/entrez PY - 2022/5/15/pubmed PY - 2022/5/15/medline KW - 7T KW - MR spectroscopy KW - MRSI KW - PET KW - choline KW - gliomas KW - glutamine KW - glycine JF - Cancers JO - Cancers (Basel) VL - 14 IS - 9 N2 - (1) Background: Recent developments in 7T magnetic resonance spectroscopic imaging (MRSI) made the acquisition of high-resolution metabolic images in clinically feasible measurement times possible. The amino acids glutamine (Gln) and glycine (Gly) were identified as potential neuro-oncological markers of importance. For the first time, we compared 7T MRSI to amino acid PET in a cohort of glioma patients. (2) Methods: In 24 patients, we co-registered 7T MRSI and routine PET and compared hotspot volumes of interest (VOI). We evaluated dice similarity coefficients (DSC), volume, center of intensity distance (CoI), median and threshold values for VOIs of PET and ratios of total choline (tCho), Gln, Gly, myo-inositol (Ins) to total N-acetylaspartate (tNAA) or total creatine (tCr). (3) Results: We found that Gln and Gly ratios generally resulted in a higher correspondence to PET than tCho. Using cutoffs of 1.6-times median values of a control region, DSCs to PET were 0.53 ± 0.36 for tCho/tNAA, 0.66 ± 0.40 for Gln/tNAA, 0.57 ± 0.36 for Gly/tNAA, and 0.38 ± 0.31 for Ins/tNAA. (4) Conclusions: Our 7T MRSI data corresponded better to PET than previous studies at lower fields. Our results for Gln and Gly highlight the importance of future research (e.g., using Gln PET tracers) into the role of both amino acids. SN - 2072-6694 UR - https://www.unboundmedicine.com/medline/citation/35565293/Structure–Activity_Relationship_of_Benzofuran_Derivatives_with_Potential_Anticancer_Activity DB - PRIME DP - Unbound Medicine ER -
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