Literature DB >> 29679199

18F-FDOPA PET and MRI characteristics correlate with degree of malignancy and predict survival in treatment-naïve gliomas: a cross-sectional study.

Chirag B Patel1,2, Elisa Fazzari1,2, Ararat Chakhoyan3,4, Jingwen Yao3,4, Catalina Raymond3,4, Huytram Nguyen1,2, Jasmine Manoukian1,2, Nhung Nguyen1,2, Whitney Pope3,4, Timothy F Cloughesy1,2, Phioanh L Nghiemphu1,2, Johannes Czernin5, Albert Lai1,2, Benjamin M Ellingson6,7,8,9.   

Abstract

INTRODUCTION: To report the potential value of pre-operative 18F-FDOPA PET and anatomic MRI in diagnosis and prognosis of glioma patients.
METHODS: Forty-five patients with a pathological diagnosis of glioma with pre-operative 18F-FDOPA PET and anatomic MRI were retrospectively examined. The volume of contrast enhancement and T2 hyperintensity on MRI images along with the ratio of maximum 18F-FDOPA SUV in tumor to normal tissue (T/N SUVmax) were measured and used to predict tumor grade, molecular status, and overall survival (OS).
RESULTS: A significant correlation was observed between WHO grade and: the volume of contrast enhancement (r = 0.67), volume of T2 hyperintensity (r = 0.42), and 18F-FDOPA uptake (r = 0.60) (P < 0.01 for each correlation). The volume of contrast enhancement and 18F-FDOPA T/N SUVmax were significantly higher in glioblastoma (WHO IV) compared with lower grade gliomas (WHO I-III), as well as for high-grade gliomas (WHO III-IV) compared with low-grade gliomas (WHO I-II). Receiver-operator characteristic (ROC) analyses confirmed the volume of contrast enhancement and 18F-FDOPA T/N SUVmax could each differentiate patient groups. No significant differences in 18F-FDOPA uptake were observed by IDH or MGMT status. Multivariable Cox regression suggested age (HR 1.16, P = 0.0001) and continuous measures of 18F-FDOPA PET T/N SUVmax (HR 4.43, P = 0.016) were significant prognostic factors for OS in WHO I-IV gliomas.
CONCLUSIONS: Current findings suggest a potential role for the use of pre-operative 18F-FDOPA PET in suspected glioma. Increased 18F-FDOPA uptake may not only predict higher glioma grade, but also worse OS.

Entities:  

Keywords:  18F-FDOPA PET; Biomarker; Glioma; MRI

Mesh:

Substances:

Year:  2018        PMID: 29679199      PMCID: PMC6092195          DOI: 10.1007/s11060-018-2877-6

Source DB:  PubMed          Journal:  J Neurooncol        ISSN: 0167-594X            Impact factor:   4.130


  40 in total

1.  Maximum-likelihood expectation-maximization reconstruction of sinograms with arbitrary noise distribution using NEC-transformations.

Authors:  J Nuyts; C Michel; P Dupont
Journal:  IEEE Trans Med Imaging       Date:  2001-05       Impact factor: 10.048

2.  Attenuation correction for a combined 3D PET/CT scanner.

Authors:  P E Kinahan; D W Townsend; T Beyer; D Sashin
Journal:  Med Phys       Date:  1998-10       Impact factor: 4.071

3.  Comparative evaluation of F-18 FDOPA, F-18 FDG, and F-18 FLT-PET/CT for metabolic imaging of low grade gliomas.

Authors:  Madhavi Tripathi; Rajnish Sharma; Maria D'Souza; Abhinav Jaimini; Puja Panwar; Raunak Varshney; Anupama Datta; Nitin Kumar; Gunjan Garg; Dinesh Singh; Rajesh K Grover; Anil K Mishra; Anupam Mondal
Journal:  Clin Nucl Med       Date:  2009-12       Impact factor: 7.794

4.  IDH mutation is paradoxically associated with higher 18F-FDOPA PET uptake in diffuse grade II and grade III gliomas.

Authors:  A Verger; Ph Metellus; Q Sala; C Colin; E Bialecki; D Taieb; O Chinot; D Figarella-Branger; E Guedj
Journal:  Eur J Nucl Med Mol Imaging       Date:  2017-03-14       Impact factor: 9.236

5.  Correlation of 6-18F-fluoro-L-dopa PET uptake with proliferation and tumor grade in newly diagnosed and recurrent gliomas.

Authors:  Barbara J Fueger; Johannes Czernin; Timothy Cloughesy; Daniel H Silverman; Cheri L Geist; Martin A Walter; Christiaan Schiepers; Phioanh Nghiemphu; Albert Lai; Michael E Phelps; Wei Chen
Journal:  J Nucl Med       Date:  2010-09-16       Impact factor: 10.057

6.  Dynamic O-(2-[18F]fluoroethyl)-L-tyrosine (F-18 FET) PET for glioma grading: assessment of individual probability of malignancy.

Authors:  Maria Lucia Calcagni; Guido Galli; Alessandro Giordano; Silvia Taralli; Carmelo Anile; Andreas Niesen; Richard Paul Baum
Journal:  Clin Nucl Med       Date:  2011-10       Impact factor: 7.794

7.  Impact of 3,4-dihydroxy-6-18F-fluoro-L-phenylalanine PET/CT on managing patients with brain tumors: the referring physician's perspective.

Authors:  Franziska Walter; Timothy Cloughesy; Martin A Walter; Albert Lai; Phioanh Nghiemphu; Naveed Wagle; Barbara Fueger; Nagichettiar Satyamurthy; Michael E Phelps; Johannes Czernin
Journal:  J Nucl Med       Date:  2012-02-09       Impact factor: 10.057

8.  Canine Lat1: molecular structure, distribution and its expression in cancer samples.

Authors:  Hideharu Ochiai; Taiki Morishita; Ken Onda; Hiroki Sugiyama; Takuya Maruo
Journal:  J Vet Med Sci       Date:  2012-02-10       Impact factor: 1.267

9.  Evaluation of quantitative criteria for glioma grading with static and dynamic 18F-FDopa PET/CT.

Authors:  Christophe Nioche; Marine Soret; Eric Gontier; Marion Lahutte; Guillaume Dutertre; Renaud Dulou; Laurent Capelle; Rémy Guillevin; Hervé Foehrenbach; Irène Buvat
Journal:  Clin Nucl Med       Date:  2013-02       Impact factor: 7.794

10.  Methyl-L-11C-methionine PET as a diagnostic marker for malignant progression in patients with glioma.

Authors:  Roland T Ullrich; Lutz Kracht; Anna Brunn; Karl Herholz; Peter Frommolt; Hrvoje Miletic; Martina Deckert; Wolf-Dieter Heiss; Andreas H Jacobs
Journal:  J Nucl Med       Date:  2009-11-12       Impact factor: 10.057

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  17 in total

1.  Rate of change in maximum 18F-FDOPA PET uptake and non-enhancing tumor volume predict malignant transformation and overall survival in low-grade gliomas.

Authors:  Talia C Oughourlian; Jingwen Yao; Jacob Schlossman; Catalina Raymond; Matthew Ji; Hiroyuki Tatekawa; Noriko Salamon; Whitney B Pope; Johannes Czernin; Phioanh L Nghiemphu; Albert Lai; Timothy F Cloughesy; Benjamin M Ellingson
Journal:  J Neurooncol       Date:  2020-01-24       Impact factor: 4.130

2.  Evaluation of Glycolytic Response to Multiple Classes of Anti-glioblastoma Drugs by Noninvasive Measurement of Pyruvate Kinase M2 Using [18F]DASA-23.

Authors:  Corinne Beinat; Chirag B Patel; Yuanyang Xie; Sanjiv S Gambhir
Journal:  Mol Imaging Biol       Date:  2020-02       Impact factor: 3.488

3.  Combining 18F-DOPA PET and MRI with perfusion-weighted imaging improves delineation of high-grade subregions in enhancing and non-enhancing gliomas prior treatment: a biopsy-controlled study.

Authors:  Antoine Girard; Pierre-Jean Le Reste; Alice Metais; Beatrice Carsin Nicol; Dan Cristian Chiforeanu; Elise Bannier; Boris Campillo-Gimenez; Anne Devillers; Xavier Palard-Novello; Florence Le Jeune
Journal:  J Neurooncol       Date:  2021-10-22       Impact factor: 4.130

4.  Multiparametric MR-PET measurements in hypermetabolic regions reflect differences in molecular status and tumor grade in treatment-naïve diffuse gliomas.

Authors:  Hiroyuki Tatekawa; Akifumi Hagiwara; Hiroyuki Uetani; Jingwen Yao; Talia C Oughourlian; Shadfar Bahri; Chencai Wang; Catalina Raymond; Albert Lai; Timothy F Cloughesy; Phioanh L Nghiemphu; Linda M Liau; Whitney B Pope; Noriko Salamon; Benjamin M Ellingson
Journal:  J Neurooncol       Date:  2020-09-14       Impact factor: 4.130

5.  Multimodal imaging-defined subregions in newly diagnosed glioblastoma: impact on overall survival.

Authors:  Flóra John; Edit Bosnyák; Natasha L Robinette; Alit J Amit-Yousif; Geoffrey R Barger; Keval D Shah; Sharon K Michelhaugh; Neil V Klinger; Sandeep Mittal; Csaba Juhász
Journal:  Neuro Oncol       Date:  2019-02-14       Impact factor: 12.300

6.  Integration of dynamic parameters in the analysis of 18F-FDopa PET imaging improves the prediction of molecular features of gliomas.

Authors:  Merwan Ginet; Timothée Zaragori; Pierre-Yves Marie; Véronique Roch; Guillaume Gauchotte; Fabien Rech; Marie Blonski; Zohra Lamiral; Luc Taillandier; Laëtitia Imbert; Antoine Verger
Journal:  Eur J Nucl Med Mol Imaging       Date:  2019-09-16       Impact factor: 9.236

7.  Preferential tumor localization in relation to 18F-FDOPA uptake for lower-grade gliomas.

Authors:  Hiroyuki Tatekawa; Hiroyuki Uetani; Akifumi Hagiwara; Jingwen Yao; Talia C Oughourlian; Issei Ueda; Catalina Raymond; Albert Lai; Timothy F Cloughesy; Phioanh L Nghiemphu; Linda M Liau; Shadfar Bahri; Whitney B Pope; Noriko Salamon; Benjamin M Ellingson
Journal:  J Neurooncol       Date:  2021-03-11       Impact factor: 4.130

8.  A Clinical PET Imaging Tracer ([18F]DASA-23) to Monitor Pyruvate Kinase M2-Induced Glycolytic Reprogramming in Glioblastoma.

Authors:  Corinne Beinat; Chirag B Patel; Tom Haywood; Surya Murty; Lewis Naya; Jessa B Castillo; Samantha T Reyes; Megan Phillips; Pablo Buccino; Bin Shen; Jun Hyung Park; Mary Ellen I Koran; Israt S Alam; Michelle L James; Dawn Holley; Kim Halbert; Harsh Gandhi; Joy Q He; Monica Granucci; Eli Johnson; Daniel Dan Liu; Nobuko Uchida; Rahul Sinha; Pauline Chu; Donald E Born; Geoffrey I Warnock; Irving Weissman; Melanie Hayden-Gephart; Mehdi Khalighi; Tarik F Massoud; Andrei Iagaru; Guido Davidzon; Reena Thomas; Seema Nagpal; Lawrence D Recht; Sanjiv Sam Gambhir
Journal:  Clin Cancer Res       Date:  2021-09-02       Impact factor: 13.801

9.  Additional Value of 18F-FDOPA Amino Acid Analog Radiotracer to Irradiation Planning Process of Patients With Glioblastoma Multiforme.

Authors:  David Sipos; Zoltan László; Zoltan Tóth; Peter Kovács; Jozsef Tollár; Akos Gulybán; Ferenc Lakosi; Imre Repa; Arpad Kovács
Journal:  Front Oncol       Date:  2021-07-06       Impact factor: 6.244

10.  Additive Value of Dynamic FDOPA PET/CT for Glioma Grading.

Authors:  Antoine Girard; Pierre-Jean Le Reste; Alice Metais; Nibras Chaboub; Anne Devillers; Hervé Saint-Jalmes; Florence Le Jeune; Xavier Palard-Novello
Journal:  Front Med (Lausanne)       Date:  2021-07-09
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