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Zaragori T, Ginet M, Marie PY, et al. Use of static and dynamic [. EJNMMI Res. 2020;10(1):56doi: 10.1186/s13550-020-00645-x.
Zaragori, T., Ginet, M., Marie, P. Y., Roch, V., Grignon, R., Gauchotte, G., Rech, F., Blonski, M., Lamiral, Z., Taillandier, L., Imbert, L., & Verger, A. (2020). Use of static and dynamic [. EJNMMI research, 10(1), 56. https://doi.org/10.1186/s13550-020-00645-x
Zaragori, Timothée, et al. "Use of static and dynamic [." EJNMMI research vol. 10,1 (2020): 56. doi: https://doi.org/10.1186/s13550-020-00645-x
Zaragori T, Ginet M, Marie PY, Roch V, Grignon R, Gauchotte G, Rech F, Blonski M, Lamiral Z, Taillandier L, Imbert L, Verger A. Use of static and dynamic [. EJNMMI Res. 2020 May 29;10(1):56. doi: 10.1186/s13550-020-00645-x. PMID: 32472232; PMCID: PMC7260331.
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EJNMMI Res. 2020 May 29;10(1):56. doi: 10.1186/s13550-020-00645-x.

Use of static and dynamic [.

EJNMMI research

Timothée Zaragori, Merwan Ginet, Pierre-Yves Marie, Véronique Roch, Rachel Grignon, Guillaume Gauchotte, Fabien Rech, Marie Blonski, Zohra Lamiral, Luc Taillandier, Laëtitia Imbert, Antoine Verger

Affiliations

  1. Department of Nuclear Medicine & Nancyclotep Imaging platform, Université de Lorraine, CHRU-Nancy, F-54000, Nancy, France.
  2. IADI, INSERM, UMR 1254, Université de Lorraine, F-54000, Nancy, France.
  3. INSERM, U1116, Université de Lorraine, F-54000, Nancy, France.
  4. Department of Pathology, Université de Lorraine, CHRU-Nancy, F-54000, Nancy, France.
  5. INSERM U1256, Université de Lorraine, F-54000, Nancy, France.
  6. Department of Neurosurgery, Université de Lorraine, CHRU-Nancy, F-54000, Nancy, France.
  7. Centre de Recherche en Automatique de Nancy CRAN, CNRS UMR 7039, Université de Lorraine, F-54000, Nancy, France.
  8. Department of Neuro-oncology, Université de Lorraine, CHRU-Nancy, F-54000, Nancy, France.
  9. Department of Nuclear Medicine & Nancyclotep Imaging platform, Université de Lorraine, CHRU-Nancy, F-54000, Nancy, France. [email protected].
  10. IADI, INSERM, UMR 1254, Université de Lorraine, F-54000, Nancy, France. [email protected].

PMID: 32472232 PMCID: PMC7260331 DOI: 10.1186/s13550-020-00645-x

Abstract

BACKGROUND: Static [

METHODS: Fifty-one consecutive patients who underwent an [

RESULTS: All static parameters were significant predictors of glioma recurrence/progression (accuracy ≥ 94%) with all parameters also associated with mean progression-free survival (PFS) in the overall population (all p < 0.001, 29.7 vs. 0.4 months for TBR

CONCLUSION: Although patients with glioma recurrence/progression can be detected by both static and dynamic [

Keywords: Amino-acid PET; Dynamic analysis; Glioma; Recurrence; [18F]-F-DOPA

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