Submitted:
02 February 2024
Posted:
05 February 2024
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Abstract
Keywords:
1. Introduction
2. PET-based response assessment criteria for diffuse gliomas
3. FET-PET after treatment
4. Differentiation of radionecrosis from progression
5. Differentiation of pseudoprogression from progression
6. Prognostic value of FET-PET in glioma re-irradiation
7. Future directions and controversies
8. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Conflicts of Interest
References
- Brain and CNS Tumor Statistics 382 CA: A Cancer Journal for Clinicians. [CrossRef]
- Stupp, R.; Mason, W.P.; Van Den Bent, M.J.; Weller, M.; Fisher, B.; Taphoorn, M.J.B.; Belanger, K.; Brandes, A.A.; Marosi, C.; Bogdahn, U.; et al. Radiotherapy plus Concomitant and Adjuvant Temozolomide for Glioblastoma. [CrossRef]
- Louis, D.N.; Perry, A.; Wesseling, P.; Brat, D.J.; Cree, I.A.; Figarella-Branger, D.; Hawkins, C.; Ng, H.K.; Pfister, S.M.; Reifenberger, G.; et al. The 2021 WHO Classification of Tumors of the Central Nervous System: A Summary. Neuro Oncol 2021, 23, 1231–1251. [Google Scholar] [CrossRef]
- Blumenthal, D.T.; Gorlia, T.; Gilbert, M.R.; Kim, M.M.; Nabors, L.B.; Mason, W.P.; Hegi, M.E.; Zhang, P.; Golfinopoulos, V.; Perry, J.R.; et al. Is More Better? The Impact of Extended Adjuvant Temozolomide in Newly Diagnosed Glioblastoma: A Secondary Analysis of EORTC and NRG Oncology/RTOG. Neuro Oncol 2017, 19, 1119–1126. [Google Scholar] [CrossRef] [PubMed]
- Lohmann, P.; Stavrinou, P.; Lipke, K.; Bauer, E.K.; Ceccon, G.; Werner, J.-M.; Neumaier, B.; Fink, G.R.; Shah, N.J.; Langen, K.-J.; et al. FET PET Reveals Considerable Spatial Differences in Tumour Burden Compared to Conventional MRI in Newly Diagnosed Glioblastoma. [CrossRef]
- Hygino Da Cruz, L.C.; Rodriguez, I.; Domingues, R.C.; Gasparetto, E.L.; Sorensen, A.G. Pseudoprogression and Pseudoresponse: Imaging Challenges in the Assessment of Posttreatment Glioma. [CrossRef]
- Van Den Bent, M.J.; Dhermain, F.G.; Hau, P.; Lanfermann, H.; Jacobs, A.H. Advanced MRI and PET Imaging for Assessment of Treatment Response in Patients with Gliomas. Lancet Neurol 2010, 9, 906–926. [Google Scholar] [CrossRef]
- Fletcher, J.W.; Djulbegovic, B.; Soares, H.P.; Siegel, B.A.; Lowe, V.J.; Lyman, G.H.; Coleman, R.E.; Wahl, R.; Paschold, J.C.; Avril, N.; et al. Recommendations on the Use of 18 F-FDG PET in Oncology. J Nucl Med 2008, 49, 480–508. [Google Scholar] [CrossRef]
- Dunet, V.; Pomoni, A.; Hottinger, A.; Nicod-Lalonde, M.; Prior, J.O. Performance of 18 F-FET versus 18 F-FDG-PET for the Diagnosis and Grading of Brain Tumors: Systematic Review and Meta-Analysis. [CrossRef]
- Nawashiro, H.; Otani, N.; Uozumi, Y.; Ooigawa, H.; Toyooka, T.; Suzuki, T.; Katoh, H.; Tsuzuki, N.; Ohnuki, A.; Shima, K.; et al. High Expression of L-Type Amino Acid Transporter 1 in Infiltrating Glioma Cells. Brain Tumor Pathol 2005, 22, 89–91. [Google Scholar] [CrossRef] [PubMed]
- Najjar, A.M.; Johnson, J.M.; Schellingerhout, D. The Emerging Role of Amino Acid PET in Neuro-Oncology. Bioengineering 2018, 5. [Google Scholar] [CrossRef] [PubMed]
- Lohmann, P.; Stavrinou, P.; Lipke, K.; Bauer, E.K.; Ceccon, G.; Werner, J.-M.; Neumaier, B.; Fink, G.R.; Shah, N.J.; Langen, K.-J.; et al. FET PET Reveals Considerable Spatial Differences in Tumour Burden Compared to Conventional MRI in Newly Diagnosed Glioblastoma. [CrossRef]
- Roelcke, U.; Wyss, M.T.; Nowosielski, M.; Rudà, R.; Roth, P.; Hofer, S.; Galldiks, N.; Crippa, F.; Weller, M.; Soffietti, R. Amino Acid Positron Emission Tomography to Monitor Chemotherapy Response and Predict Seizure Control and Progression-Free Survival in WHO Grade II Gliomas. [CrossRef]
- Rachinger, W.; Goetz, C.; Pöpperl, G.; Gildehaus, F.J.; Kreth, F.W.; Holtmannspötter, M.; Herms, J.; Koch, W.; Tatsch, K.; Tonn, J.C. Positron Emission Tomography with O-(2-[18F]Flouroethyl)-L- Tyrosine versus Magnetic Resonance Imaging in the Diagnosis of Recurrent Gliomas. Neurosurgery 2005, 57, 505–511. [Google Scholar] [CrossRef] [PubMed]
- Galldiks, N.; Lohmann, P.; Albert, N.L.; Tonn, J.C.; Langen, K.J. Current Status of PET Imaging in Neuro-Oncology. Neurooncol Adv 2019, 1, 1–11. [Google Scholar] [CrossRef]
- Hirata, K.; Terasaka, S.; Shiga, T.; Hattori, N.; Magota, K.; Kobayashi, H.; Yamaguchi, S.; Houkin, K.; Tanaka, S.; Kuge, Y.; et al. 18F-Fluoromisonidazole Positron Emission Tomography May Differentiate Glioblastoma Multiforme from Less Malignant Gliomas. Eur J Nucl Med Mol Imaging 2012, 39, 760–770. [Google Scholar] [CrossRef]
- Albert, N.L.; Nelwan, D. V; Fleischmann, D.F.; Quach, S.; Von Rohr, K.; Kaiser, L.; Teske, N.; Unterrainer, L.M.; Bartos, L.M.; Ruf, V.C.; et al. Prognostic Value of TSPO PET Before Radiotherapy in Newly Diagnosed IDH-Wild-Type Glioblastoma. J Nucl Med 2023, 64, 1519–1525. [Google Scholar] [CrossRef]
- Castello, A.; Albano, D.; Muoio, B.; Castellani, M.; Panareo, S.; Rizzo, A.; Treglia, G.; Urso, L. Diagnostic Accuracy of PET with 18F-Fluciclovine ([18F]FACBC) in Detecting High-Grade Gliomas: A Systematic Review and Meta-Analysis. Diagnostics 2023, 13. [Google Scholar] [CrossRef]
- Albert, N.L.; Galldiks, N.; Ellingson, B.M.; van den Bent, M.J.; Chang, S.M.; Cicone, F.; de Groot, J.; Koh, E.S.; Law, I.; Le Rhun, E.; et al. PET-Based Response Assessment Criteria for Diffuse Gliomas (PET RANO 1.0): A Report of the RANO Group. Lancet Oncol 2024, 25, e29–e41. [Google Scholar] [CrossRef]
- Wen, P.Y.; Van Den Bent, M.; Youssef, G.; Cloughesy, T.F.; Ellingson, B.M.; Weller, M.; Galanis, E.; Barboriak, D.P.; De Groot, J.; Gilbert, M.R.; et al. RANO 2.0: Update to the Response Assessment in Neuro-Oncology Criteria for High- and Low-Grade Gliomas in Adults. Journal of Clinical Oncology 2023, 41, 5187–5199. [Google Scholar] [CrossRef]
- Galldiks, N.; Niyazi, M.; Grosu, A.L.; Kocher, M.; Langen, K.-J.; Law, I.; Minniti, G.; Kim, M.M.; Tsien, C.; Dhermain, F.; et al. Contribution of PET Imaging to Radiotherapy Planning and Monitoring in Glioma Patients-a Report of the PET/RANO Group. Neuro Oncol 2021, 23, 881–893. [Google Scholar] [CrossRef] [PubMed]
- Galldiks, N.; Langen, K.-J.; Holy, R.; Pinkawa, M.; Stoffels, G.; Nolte, K.W.; Kaiser, H.J.; Filss, C.P.; Fink, G.R.; Coenen, H.H.; et al. Assessment of Treatment Response in Patients with Glioblastoma Using O-(2-18 F-Fluoroethyl)-L-Tyrosine PET in Comparison to MRI. J Nucl Med 2012, 53, 1048–1057. [Google Scholar] [CrossRef] [PubMed]
- Suchorska, B.; Jansen, N.L.; Linn, J.; Kretzschmar, H.; Janssen, H.; Eigenbrod, S.; Simon, M.; Pöpperl, G.; Kreth, F.W.; La Fougere, C.; et al. Biological Tumor Volume in 18FET-PET before Radiochemotherapy Correlates with Survival in GBM. Neurology 2015, 84, 710–719. [Google Scholar] [CrossRef] [PubMed]
- Piroth, M.D.; Liebenstund, S.; Galldiks, N.; Stoffels, G.; Shah, N.J.; Eble, M.J.; Coenen, H.H.; Langen, K.J. Monitoring of Radiochemotherapy in Patients with Glioblastoma Using O-(2-[18F]Fluoroethyl)-L-Tyrosine Positron Emission Tomography: Is Dynamic Imaging Helpful? Mol Imaging 2013, 12. [Google Scholar] [CrossRef]
- Ceccon, G.; Lohmann, P.; Werner, J.-M.; Tscherpel, C.; Dunkl, V.; Stoffels, G.; Rosen, J.; Rapp, M.; Sabel, M.; Herrlinger, U.; et al. Early Treatment Response Assessment Using 18 F-FET PET Compared with Contrast-Enhanced MRI in Glioma Patients After Adjuvant Temozolomide Chemotherapy. [CrossRef]
- Galldiks, N.; Dunkl, V.; Ceccon, G.; Tscherpel, C.; Stoffels, G.; Law, I.; Henriksen, O.M.; Muhic, A.; Poulsen, H.S.; Steger, J.; et al. Early Treatment Response Evaluation Using FET PET Compared to MRI in Glioblastoma Patients at First Progression Treated with Bevacizumab plus Lomustine. Eur J Nucl Med Mol Imaging 2018, 45, 2377–2386. [Google Scholar] [CrossRef]
- Harat, M.; Blok, M.; Miechowicz, I.; Wiatrowska, I.; Makarewicz, K.; Małkowski, B. Safety and Efficacy of Irradiation Boost Based on 18F-FET-PET in Patients with Newly Diagnosed Glioblastoma. Clinical Cancer Research 2022, 28, 3011–3020. [Google Scholar] [CrossRef]
- Siu, A.; Wind, J.J.; Bryan Iorgulescu, J.; Chan, T.A.; Yamada, Y.; Sherman, J.H. Radiation Necrosis Following Treatment of High Grade Glioma-a Review of the Literature and Current Understanding. [CrossRef]
- Ninatti, G.; Pini, C.; Gelardi, F.; Sollini, M.; Chiti, A. The Role of PET Imaging in the Differential Diagnosis between Radiation Necrosis and Recurrent Disease in Irradiated Adult-Type Diffuse Gliomas: A Systematic Review. Cancers (Basel) 2023, 15. [Google Scholar] [CrossRef]
- Vidmar, M.S.; Doma, A.; Smrdel, U.; Zevnik, K.; Studen, A. The Value of FET PET/CT in Recurrent Glioma with a Different IDH Mutation Status: The Relationship between Imaging and Molecular Biomarkers. Int J Mol Sci 2022, 23. [Google Scholar] [CrossRef]
- Sogani, S.K.; Jena, A.; Taneja, S.; Gambhir, A.; Mishra, A.K.; D’Souza, M.M.; Verma, S.M.; Hazari, P.P.; Negi, P.; Jadhav, G.K.R. Potential for Differentiation of Glioma Recurrence from Radionecrosis Using Integrated 18F-Fluoroethyl-L-Tyrosine (FET) Positron Emission Tomography/Magnetic Resonance Imaging: A Prospective Evaluation. Neurol India 2017, 65, 293–301. [Google Scholar] [CrossRef]
- Pyka, T.; Hiob, D.; Preibisch, C.; Gempt, J.; Wiestler, B.; Schlegel, J.; Straube, C.; Zimmer, C. Diagnosis of Glioma Recurrence Using Multiparametric Dynamic 18F-Fluoroethyl-Tyrosine PET-MRI. Eur J Radiol 2018, 103, 32–37. [Google Scholar] [CrossRef]
- Bashir, A.; Jacobsen, S.M.; Henriksen, O.M.; Broholm, H.; Urup, T.; Grunnet, K.; Larsen, V.A.; Møller, S.; Skjøth-Rasmussen, J.; Poulsen, H.S.; et al. Recurrent Glioblastoma versus Late Posttreatment Changes: Diagnostic Accuracy of O-(2-[18F]Fluoroethyl)-L-Tyrosine Positron Emission Tomography (18F-FET PET). Neuro Oncol 2019, 21, 1595–1606. [Google Scholar] [CrossRef]
- Werner, J.M.; Stoffels, G.; Lichtenstein, T.; Borggrefe, J.; Lohmann, P.; Ceccon, G.; Shah, N.J.; Fink, G.R.; Langen, K.J.; Kabbasch, C.; et al. Differentiation of Treatment-Related Changes from Tumour Progression: A Direct Comparison between Dynamic FET PET and ADC Values Obtained from DWI MRI. Eur J Nucl Med Mol Imaging 2019, 46, 1889–1901. [Google Scholar] [CrossRef]
- Celli, M.; Caroli, P.; Amadori, E.; Arpa, D.; Gurrieri, L.; Ghigi, G.; Cenni, P.; Paganelli, G.; Matteucci, F. Diagnostic and Prognostic Potential of 18F-FET PET in the Differential Diagnosis of Glioma Recurrence and Treatment-Induced Changes After Chemoradiation Therapy. Front Oncol 2021, 11. [Google Scholar] [CrossRef] [PubMed]
- Galldiks, N.; Dunkl, V.; Stoffels, G.; Hutterer, M.; Rapp, M.; Sabel, M.; Reifenberger, G.; Kebir, S.; Dorn, F.; Blau, T.; et al. Diagnosis of Pseudoprogression in Patients with Glioblastoma Using O-(2-[ 18 F]Fluoroethyl)-L-Tyrosine PET. J Nucl Med Mol Imaging 2015, 42, 685–695. [Google Scholar] [CrossRef] [PubMed]
- Kebir, S.; Fimmers, R.; Galldiks, N.; Schafer, N.; Mack, F.; Schaub, C.; Stuplich, M.; Niessen, M.; Tzaridis, T.; Simon, M.; et al. Late Pseudoprogression in Glioblastoma: Diagnostic Value of Dynamic O-(2-[18 F]Fluoroethyl)-L-Tyrosine PET. Clinical Cancer Research 2016, 22, 2190–2196. [Google Scholar] [CrossRef] [PubMed]
- Fleischmann, D.F.; Unterrainer, M.; Bartenstein, P.; Belka, C.; Albert, N.L.; Niyazi, M. 18F-FET PET Prior to Recurrent High-Grade Glioma Re-Irradiation—Additional Prognostic Value of Dynamic Time-to-Peak Analysis and Early Static Summation Images? J Neurooncol 2017, 132, 277–286. [Google Scholar] [CrossRef] [PubMed]
- Niyazi, M.; Jansen, N.; Ganswindt, U.; Schwarz, S.B.; Geisler, J.; Schnell, O.; Büsing, K.; Eigenbrod, S.; La Fougère, C.; Belka, C. Re-Irradiation in Recurrent Malignant Glioma: Prognostic Value of [ 18F]FET-PET. J Neurooncol 2012, 110, 389–395. [Google Scholar] [CrossRef] [PubMed]
- Moller, S.; Law, I.; Costa, J.; Poulsen, H.S.; Engelholm, S.A.; Engelholm, S. Prognostic Value of 18 F-FET PET Imaging in Re-Irradiation of High-Grade Glioma: Results of a Phase I Clinical Trial. Radiotherapy and Oncology 2016, 121, 132–137. [Google Scholar] [CrossRef] [PubMed]
- Chaban, A.; Waschulzik, B.; Bernhardt, · Denise; Delbridge, C.; Schmidt-Graf, F.; Wagner, · Arthur; Wiestler, B.; Weber, W.; Yakushev, I. Amino Acid PET vs. RANO MRI for Prediction of Overall Survival in Patients with Recurrent High Grade Glioma under Bevacizumab Therapy. Eur J Nucl Med Mol Imaging. [CrossRef]
- Harat, M.; Rakowska, J.; Harat, M.; Szylberg, T.; Furtak, J.; Miechowicz, I.; Małkowski, B. Combining Amino Acid PET and MRI Imaging Increases Accuracy to Define Malignant Areas in Adult Glioma. [CrossRef]
- Albert, N.L.; Winkelmann, I.; Suchorska, B.; Wenter, V.; Schmid-Tannwald, C.; Mille, E.; Todica, A.; Brendel, M.; Tonn, J.-C.; Bartenstein, P.; et al. Early Static 18 F-FET-PET Scans Have a Higher Accuracy for Glioma Grading than the Standard 20-40 Min Scans. [CrossRef]
- Mittlmeier, L.M.; Suchorska, B.; Ruf, V.; Holzgreve, A.; Brendel, M.; Herms, J.; Bartenstein, P.; Tonn, J.C.; Unterrainer, M.; Albert, N.L. 18f-Fet Pet Uptake Characteristics of Long-Term Idh-Wildtype Diffuse Glioma Survivors. Cancers (Basel) 2021, 13. [Google Scholar] [CrossRef] [PubMed]
| StudySStudy | N of pts | Newly diagnosed or recurrence | Time of PET after irradiation | Evaluated parameters | Dynamic vs static acquisition | Prognostic of OS or PFS |
|---|---|---|---|---|---|---|
| Galldiks et al. [22] |
25 | Newly diagnosed | 7-10 days and 6-8 weeks after RTH | TBRmean, TBRmax, Tvol | Static |
A decrease of TBRmax and TBRmean in early PET - predictors for longer PFS and OS; 6-8 weeks later Tvol decrease related to longer PFS |
| Suchorska et al. [23] | 79 | Newly diagnosed | 4 -6 weeks after RTH and after 3 cycles of TMZ | BTV, TAC | Static and dynamic | Longer OS and PFS in patients with smaller pretreatment BTV. Initially increased TAC associated with longer PFS. |
| Piroth et al. [24] | 25 | Newly diagnosed | 7-10 days and 6-8 weeks after RTH | TBRmax, TBRmean, TTP, TAC | Static and dynamic | Decrease of TBRmean and TBRmax after RTH – longer PFS and OS. No significant correlation of dynamic parameters and survival. |
| Ceccon et al. [25] | 41 | Newly diagnosed | 7 days before adjuvant TMZ and after 2 cycle of adjuvant TMZ | TBRmax, TBRmean, MTV | Static | Reductions of MTV and TBRmax predicted longer OS and PFS. |
| Galldiks et al. [26] | 21 | Recurrence | 9-11 days before bevacizumab/lomustine inintiation and after 8-10 weeks | TBRmean, TBRmax, MTV | Static | TBRmax, TBRmean and MTV reduction correlated with longer OS. |
| Harat et al. [27] | 11 | Newly diagnosed | 3-8 months after RTH | MTV | Static, dynamic | No correlation |
| Study | N of pts | Newly diagnosed or recurrence | Time of PET after irradiation | Evaluated parameters | Dynamic vs static acquisition | Prognostic of OS or PFS |
|---|---|---|---|---|---|---|
| Bashir et al. [33] | 146 | Recurrence | 6 months | TBRmax, TBRmean, BTV | Static |
Increasing BTV associated with shorter OS PET parameters higher in recurrence than in posttreatment changes |
| Werner et al. [34] | 48 | Recurrence | 16 weeks | TBRmax, TBRmean, TTP | Static and dynamic | TBRs <1.95 at suspected progression predicted longer survival |
| Celli et al. [35] | 45 | Recurrence | 12 weeks | TBRmax, MTV, TTM, TTP, TAC | Static and dynamic | No impact of FET-PET parameters on OS/PFS. |
| Galdiks et al. [36] | 22 | Recurrence | 12 weeks | TBRmax, TBRmean, TTP, TAC | Static and dynamic | TBRmax <2.3 correlated with longer OS |
| Kebir et al. [37] | 26 | Recurrence | 3 months | TBRmax, TBRmean, TTP, TAC | Static and dynamic | Not assessed |
| Fleischmann et al. [38] | 72 | Recurrence | 6 months | TBRmax, BTV, TAC, TTP | Static and dynamic | Longer TTP before reirradiation connected with longer post-recurrence survival |
| Niyazi et al. [39] | 56 | Recurrence | 6 months | SUVmax/BG, SUVmean/BG, TAC | Static and dynamic | Increasing TAC prior to re-irradiation correlated with longer survival |
| Moller et al. [40] | 31 | Recurrence | 6 months | BTV, Tmax/B | Static | Baseline BTV prognostic for OS |
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