2024
11C-methionine in the diagnostics and management of glioblastoma patients with rapid early progression: nonrandomized, open label, prospective clinical trial (GlioMET)
LAKOMÝ, Radek, Martina LOJOVÁ, Lenka SOUČKOVÁ, Ludmila HYNKOVÁ, Kateřina POLÁCHOVÁ et. al.Základní údaje
Originální název
11C-methionine in the diagnostics and management of glioblastoma patients with rapid early progression: nonrandomized, open label, prospective clinical trial (GlioMET)
Autoři
LAKOMÝ, Radek (203 Česká republika, garant, domácí), Martina LOJOVÁ (203 Česká republika, domácí), Lenka SOUČKOVÁ (203 Česká republika, domácí), Ludmila HYNKOVÁ (203 Česká republika, domácí), Kateřina POLÁCHOVÁ (203 Česká republika, domácí), Jiri VASINA (203 Česká republika), Regina DEMLOVÁ (203 Česká republika, domácí), Alexandr POPRACH (203 Česká republika, domácí), Jiří ŠÁNA (203 Česká republika, domácí), Tomáš PROCHÁZKA (203 Česká republika, domácí), Martin SMRČKA (203 Česká republika, domácí), Pavel FADRUS (203 Česká republika, domácí), Radim JANČÁLEK (203 Česká republika, domácí), Iveta SELINGEROVÁ (203 Česká republika, domácí), Renata BELANOVA (203 Česká republika), Pavel ŠLAMPA (203 Česká republika, domácí), Petr POSPÍŠIL (203 Česká republika, domácí) a Tomáš KAZDA (203 Česká republika, domácí)
Vydání
BMC Cancer, LONDON, BMC, 2024, 1471-2407
Další údaje
Jazyk
angličtina
Typ výsledku
Článek v odborném periodiku
Obor
30204 Oncology
Stát vydavatele
Velká Británie a Severní Irsko
Utajení
není předmětem státního či obchodního tajemství
Odkazy
Impakt faktor
Impact factor: 3.800 v roce 2022
Organizační jednotka
Lékařská fakulta
UT WoS
001249141700004
Klíčová slova anglicky
Glioblastoma; Rapid early progression; Radiopharmaceutical; C-11-methionine; Clinical trial; Positron emission tomography; Radiotherapy
Štítky
Příznaky
Mezinárodní význam, Recenzováno
Změněno: 15. 8. 2024 11:09, Mgr. Tereza Miškechová
Anotace
V originále
Background Glioblastoma (GBM) is the most common and aggressive primary brain cancer. The treatment of GBM consists of a combination of surgery and subsequent oncological therapy, i.e., radiotherapy, chemotherapy, or their combination. If postoperative oncological therapy involves irradiation, magnetic resonance imaging (MRI) is used for radiotherapy treatment planning. Unfortunately, in some cases, a very early worsening (progression) or return (recurrence) of the disease is observed several weeks after the surgery and is called rapid early progression (REP). Radiotherapy planning is currently based on MRI for target volumes definitions in many radiotherapy facilities. However, patients with REP may benefit from targeting radiotherapy with other imaging modalities. The purpose of the presented clinical trial is to evaluate the utility of C-11-methionine in optimizing radiotherapy for glioblastoma patients with REP. Methods This study is a nonrandomized, open-label, parallel-setting, prospective, monocentric clinical trial. The main aim of this study was to refine the diagnosis in patients with GBM with REP and to optimize subsequent radiotherapy planning. Glioblastoma patients who develop REP within approximately 6 weeks after surgery will undergo C-11-methionine positron emission tomography (PET/CT) examinations. Target volumes for radiotherapy are defined using both standard planning T1-weighted contrast-enhanced MRI and PET/CT. The primary outcome is progression-free survival defined using RANO criteria and compared to a historical cohort with REP treated without PET/CT optimization of radiotherapy. Discussion PET is one of the most modern methods of molecular imaging. C-11-Methionine is an example of a radiolabelled (carbon 11) amino acid commonly used in the diagnosis of brain tumors and in the evaluation of response to treatment. Optimized radiotherapy may also have the potential to cover those regions with a high risk of subsequent progression, which would not be identified using standard-of-care MRI for radiotherapy planning. This is one of the first study focused on radiotherapy optimization for subgroup of patinets with REP.
Návaznosti
CZ.02.1.01/0.0/0.0/16_013/0001826, interní kód MU (Kód CEP: EF16_013/0001826) |
| ||
90249, velká výzkumná infrastruktura |
|