A Linearized Fit Model for Robust Shape Parameterization of FET-PET TACs

IEEE Transactions on Medical Imaging, vol. 40, pp. 1852–1862

Abstract

The kinetic analysis of [Formula: see text]-FET time-activity curves (TAC) can provide valuable diagnostic information in glioma patients. The analysis is most often limited to the average TAC over a large tissue volume and is normally assessed by visual inspection or by evaluating the time-to-peak and linear slope during the late uptake phase. Here, we derived and validated a linearized model for TACs of [Formula: see text]-FET in dynamic PET scans. Emphasis was put on the robustness of the numerical parameters and how reliably automatic voxel-wise analysis of TAC kinetics was possible. The diagnostic performance of the extracted shape parameters for the discrimination between isocitrate dehydrogenase (IDH) wildtype (wt) and IDH-mutant (mut) glioma was assessed by receiver-operating characteristic in a group of 33 adult glioma patients. A high agreement between the adjusted model and measured TACs could be obtained and relative, estimated parameter uncertainties were small. The best differentiation between IDH-wt and IDH-mut gliomas was achieved with the linearized model fitted to the averaged TAC values from dynamic FET PET data in the time interval 4-50 min p.i.. When limiting the acquisition time to 20-40 min p.i., classification accuracy was only slightly lower (-3%) and was comparable to classification based on linear fits in this time interval. Voxel-wise fitting was possible within a computation time ≈ 1 min per image slice. Parameter uncertainties smaller than 80% for all fits with the linearized model were achieved. The agreement of best-fit parameters when comparing voxel-wise fits and fits of averaged TACs was very high (p < 0.001).

Authors 12

1. Christoph W. Lerche

   Forschungszentrum Jülich

   Affiliation as printed

   Institute of Neuroscience and Medicine 4, Forschungszentrum Jülich, Jülich, Germany

   [Institute of Neuroscience and Medicine 4, Forschungszentrum Jülich, Jülich, Germany]

2. Timon Radomski

   Forschungszentrum Jülich

   Affiliation as printed

   Institute of Neuroscience and Medicine 4, Forschungszentrum Jülich, Jülich, Germany

   [Institute of Neuroscience and Medicine 4, Forschungszentrum Jülich, Jülich, Germany]

3. Philipp Lohmann

   Forschungszentrum Jülich · University of Cologne · University Hospital Cologne

   Affiliation as printed

   Department of Stereotaxy and Functional Neurosurgery, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany

   Institute of Neuroscience and Medicine 4, Forschungszentrum Jülich, Jülich, Germany

   [Institute of Neuroscience and Medicine 4, Forschungszentrum Jülich, Jülich, Germany]

4. Liliana Caldeira

   Forschungszentrum Jülich · University of Cologne

   Affiliation as printed

   Institute of Diagnostic and Interventional Radiology, University of Cologne, Cologne, Germany

   Institute of Neuroscience and Medicine 4, Forschungszentrum Jülich, Jülich, Germany

   [Institute of Neuroscience and Medicine 4, Forschungszentrum Jülich, Jülich, Germany]

5. Cláudia Régio Brambilla

   Forschungszentrum Jülich

   Affiliation as printed

   Institute of Neuroscience and Medicine 4, Forschungszentrum Jülich, Jülich, Germany

   [Institute of Neuroscience and Medicine 4, Forschungszentrum Jülich, Jülich, Germany]

6. Lutz Tellmann

   Forschungszentrum Jülich

   Affiliation as printed

   Institute of Neuroscience and Medicine 4, Forschungszentrum Jülich, Jülich, Germany

   [Institute of Neuroscience and Medicine 4, Forschungszentrum Jülich, Jülich, Germany]

7. Jürgen J Scheins

   University of Cologne

   Affiliation as printed

   Institute of Diagnostic and Interventional Radiology, University of Cologne, Cologne, Germany

8. Elena Rota Kops

   Forschungszentrum Jülich

   Affiliation as printed

   Institute of Neuroscience and Medicine 4, Forschungszentrum Jülich, Jülich, Germany

   [Institute of Neuroscience and Medicine 4, Forschungszentrum Jülich, Jülich, Germany]

9. Norbert Galldiks

   Forschungszentrum Jülich · University of Cologne · University Hospital Cologne

   Affiliation as printed

   Center for Integrated Oncology (CIO) Aachen Bonn Cologne Duesseldorf, University of Cologne, Cologne, Germany

   Department of Neurology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany

   Institute of Neuroscience and Medicine 3, Forschungszentrum Jülich, Jülich, Germany

10. Karl‐Josef Langen

    Forschungszentrum Jülich · University of Cologne

    Affiliation as printed

    Center for Integrated Oncology (CIO) Aachen Bonn Cologne Duesseldorf, University of Cologne, Cologne, Germany

    Institute of Neuroscience and Medicine 4, Forschungszentrum Jülich, Jülich, Germany

    [Institute of Neuroscience and Medicine 4, Forschungszentrum Jülich, Jülich, Germany]

11. Hans R Herzog

    Forschungszentrum Jülich

    Affiliation as printed

    Institute of Neuroscience and Medicine 4, Forschungszentrum Jülich, Jülich, Germany

    [Institute of Neuroscience and Medicine 4, Forschungszentrum Jülich, Jülich, Germany]

12. Nadim Jon Shah Aachen Department of Neurology

    Forschungszentrum Jülich · Jülich Aachen Research Alliance · RWTH Aachen University

    Affiliation as printed

    Department of Neurology, RWTH Aachen University, Aachen, Germany

    Institutes of Neuroscience and Medicine 4 and 11, Forschungszentrum Jülich, Jülich, Germany

    JARA–BRAIN–Translational Medicine, Aachen, Germany