Dynamic 18F-FET PET is a powerful imaging biomarker in gadolinium-negative gliomas

被引:32
作者
Kunz, Mathias [1 ,6 ]
Albert, Nathalie Lisa [2 ,6 ]
Unterrainer, Marcus [2 ,6 ]
la Fougere, Christian [2 ,7 ]
Egensperger, Rupert [3 ,6 ]
Schueller, Ulrich [3 ,8 ,9 ,10 ]
Lutz, Juergen [4 ]
Kreth, Simone [5 ]
Tonn, Joerg-Christian [1 ,6 ]
Kreth, Friedrich-Wilhelm [1 ,6 ]
Thon, Niklas [1 ,6 ]
机构
[1] Univ Munich, Dept Neurosurg, Campus Grosshadern, Munich, Germany
[2] Univ Munich, Dept Nucl Med, Munich, Germany
[3] Univ Munich, Ctr Neuropathol, Munich, Germany
[4] Univ Munich, Dept Clin Radiol, Munich, Germany
[5] Univ Munich, Dept Anaesthesiol, Munich, Germany
[6] German Canc Consortium, Partner Site Munich, Munich, Germany
[7] Univ Tubingen, Dept Radiol, Div Nucl Med & Clin Mol Imaging, Tubingen, Germany
[8] Univ Med Ctr Hamburg Eppendorf, Dept Pediat Hematol & Oncol, Hamburg, Germany
[9] Univ Med Ctr Hamburg Eppendorf, Inst Neuropathol, Hamburg, Germany
[10] Childrens Canc Ctr Hamburg, Res Inst, Hamburg, Germany
关键词
F-18-FET PET; biomarkers; glioma; prognosis; targeted therapy; LOW-GRADE GLIOMAS; O-(2-F-18-FLUOROETHYL)-L-TYROSINE PET; EUROPEAN ASSOCIATION; RESPONSE ASSESSMENT; NEUROONCOLOGY; MANAGEMENT; 1P/19Q; CLASSIFICATION; MUTATIONS; DIAGNOSIS;
D O I
10.1093/neuonc/noy098
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Background. We aimed to elucidate the place of dynamic O-(2-[F-18]-fluoroethyl)-L-tyrosine (F-18-FET) PET in prognostic models of gadolinium (Gd)-negative gliomas. Methods. In 98 patients with Gd-negative gliomas undergoing F-18-FET PET guided biopsy, time activity curves (TACs) of each tumor were qualitatively categorized as either increasing or decreasing. Additionally, post-hoc quantitative analyses were done using minimal time-to-peak (TTPmin) measurements. Prognostic factors were obtained from multivariate hazards models.The fit of the biospecimen- and imaging-derived models was compared. Results. A homogeneous increasing, mixed, and homogeneous decreasing TAC pattern was seen in 51, 19, and 28 tumors, respectively. Mixed TAC tumors exhibited both increasing and decreasing TACs. Corresponding adjusted 5-year survival was 85%, 47%, and 19%, respectively (P < 0.001). Qualitative and quantitative TAC measurements were highly intercorrelated (P< 0.0001).TTPmin was longest (shortest) in the homogeneous increasing (decreasing) TAC group and in between in the mixed TAC group. TTPmin was longer in isocitrate dehydrogenase (/DH)-mutant tumors (P< 0.001). Outcome was similarly precisely predicted by biospecimen- and imaging-derived models. In the biospecimen model, World Health Organization (WHO) grade (P< 0.0001) and IDH status (P< 0.001) were predictors for survival. Outcome of homogeneous increasing (homogeneous decreasing) TAC tumors was nearly identical, with bothTTP(min) > 25 min (TTPmin <= 12.5 min) tumors and /DH-mutant grade II (/DH-wildtype) gliomas. Outcome of mixed TAC tumors matched that of both intermediate TTPmin (>12.5 min and <= 25 min) and /DH-mutant, grade III gliomas. Each of the 3 prognostic clusters differed significantly from the other ones of the respective models (P< 0.001). Conclusion. TAC measurements constitute a powerful biomarker independent from tumor grade and IDH status.
引用
收藏
页码:274 / 284
页数:11
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