Similar articles for PMID: 29175980

Year	Number of Results
1946	1
1996	1
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1998	1
2001	1
2004	3
2005	6
2006	1
2007	3
2008	2
2009	2
2010	2
2011	3
2012	4
2013	1
2014	4
2015	10
2016	11
2017	15
2018	25
2019	30
2020	32
2021	30
2022	16
2023	6
2024	0

1

Glioma Survival Prediction with Combined Analysis of In Vivo ¹¹C-MET PET Features, Ex Vivo Features, and Patient Features by Supervised Machine Learning.

Papp L, Pötsch N, Grahovac M, Schmidbauer V, Woehrer A, Preusser M, Mitterhauser M, Kiesel B, Wadsak W, Beyer T, Hacker M, Traub-Weidinger T. Papp L, et al. J Nucl Med. 2018 Jun;59(6):892-899. doi: 10.2967/jnumed.117.202267. Epub 2017 Nov 24. J Nucl Med. 2018. PMID: 29175980 Free article.

2

Visual and semiquantitative 11C-methionine PET: an independent prognostic factor for survival of newly diagnosed and treatment-naïve gliomas.

Poetsch N, Woehrer A, Gesperger J, Furtner J, Haug AR, Wilhelm D, Widhalm G, Karanikas G, Weber M, Rausch I, Mitterhauser M, Wadsak W, Hacker M, Preusser M, Traub-Weidinger T. Poetsch N, et al. Neuro Oncol. 2018 Feb 19;20(3):411-419. doi: 10.1093/neuonc/nox177. Neuro Oncol. 2018. PMID: 29016947 Free PMC article.

3

Hybrid 11C-MET PET/MRI Combined With "Machine Learning" in Glioma Diagnosis According to the Revised Glioma WHO Classification 2016.

Kebir S, Weber M, Lazaridis L, Deuschl C, Schmidt T, Mönninghoff C, Keyvani K, Umutlu L, Pierscianek D, Forsting M, Sure U, Stuschke M, Kleinschnitz C, Scheffler B, Colletti PM, Rubello D, Rischpler C, Glas M. Kebir S, et al. Clin Nucl Med. 2019 Mar;44(3):214-220. doi: 10.1097/RLU.0000000000002398. Clin Nucl Med. 2019. PMID: 30516675

4

Prognostic Value of O-(2-[18F]-Fluoroethyl)-L-Tyrosine-Positron Emission Tomography Imaging for Histopathologic Characteristics and Progression-Free Survival in Patients with Low-Grade Glioma.

Bette S, Gempt J, Delbridge C, Kirschke JS, Schlegel J, Foerster S, Huber T, Pyka T, Zimmer C, Meyer B, Ringel F. Bette S, et al. World Neurosurg. 2016 May;89:230-9. doi: 10.1016/j.wneu.2016.01.085. Epub 2016 Mar 9. World Neurosurg. 2016. PMID: 26855307

5

Machine learning and radiomic phenotyping of lower grade gliomas: improving survival prediction.

Choi YS, Ahn SS, Chang JH, Kang SG, Kim EH, Kim SH, Jain R, Lee SK. Choi YS, et al. Eur Radiol. 2020 Jul;30(7):3834-3842. doi: 10.1007/s00330-020-06737-5. Epub 2020 Mar 11. Eur Radiol. 2020. PMID: 32162004

6

Surgical target selection in cerebral glioma surgery: linking methionine (MET) PET image fusion and neuronavigation.

Roessler K, Gatterbauer B, Becherer A, Paul M, Kletter K, Prayer D, Hoeftberger R, Hainfellner J, Asenbaum S, Knosp E. Roessler K, et al. Minim Invasive Neurosurg. 2007 Oct;50(5):273-80. doi: 10.1055/s-2007-991143. Minim Invasive Neurosurg. 2007. PMID: 18058643

7

Textural analysis of pre-therapeutic [18F]-FET-PET and its correlation with tumor grade and patient survival in high-grade gliomas.

Pyka T, Gempt J, Hiob D, Ringel F, Schlegel J, Bette S, Wester HJ, Meyer B, Förster S. Pyka T, et al. Eur J Nucl Med Mol Imaging. 2016 Jan;43(1):133-141. doi: 10.1007/s00259-015-3140-4. Epub 2015 Jul 29. Eur J Nucl Med Mol Imaging. 2016. PMID: 26219871

8

Optimization of semi-quantification in metabolic PET studies with 18F-fluorodeoxyglucose and 11C-methionine in the determination of malignancy of gliomas.

Borbély K, Nyáry I, Tóth M, Ericson K, Gulyás B. Borbély K, et al. J Neurol Sci. 2006 Jul 15;246(1-2):85-94. doi: 10.1016/j.jns.2006.02.015. Epub 2006 Mar 6. J Neurol Sci. 2006. PMID: 16603193

9

Feasibility on the Use of Radiomics Features of 11[C]-MET PET/CT in Central Nervous System Tumours: Preliminary Results on Potential Grading Discrimination Using a Machine Learning Model.

Russo G, Stefano A, Alongi P, Comelli A, Catalfamo B, Mantarro C, Longo C, Altieri R, Certo F, Cosentino S, Sabini MG, Richiusa S, Barbagallo GMV, Ippolito M. Russo G, et al. Curr Oncol. 2021 Dec 12;28(6):5318-5331. doi: 10.3390/curroncol28060444. Curr Oncol. 2021. PMID: 34940083 Free PMC article.

10

Usefulness of L-[methyl-11C] methionine-positron emission tomography as a biological monitoring tool in the treatment of glioma.

Nariai T, Tanaka Y, Wakimoto H, Aoyagi M, Tamaki M, Ishiwata K, Senda M, Ishii K, Hirakawa K, Ohno K. Nariai T, et al. J Neurosurg. 2005 Sep;103(3):498-507. doi: 10.3171/jns.2005.103.3.0498. J Neurosurg. 2005. PMID: 16235683 Clinical Trial.

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