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Research ArticleClinical Investigation

[18F]FDG Metabolic Tumor Volume as a Prognostic Marker in Neuroendocrine Neoplasm: A Multicenter Study

David L. Chan, Aimee Hayes, Ioannis Karfis, Alice Conner, Magdalena Mileva, Elizabeth Bernard, Shaunak Navalkissoor, Gopinath Gnanasekaran, Stephen J. Clarke, Paul J. Roach, Patrick Flamen, Martyn E. Caplin, Nick Pavlakis, Christos Toumpanakis and Dale L. Bailey
Journal of Nuclear Medicine May 2025, jnumed.124.269031; DOI: https://doi.org/10.2967/jnumed.124.269031
David L. Chan
1Medical Oncology Department, ENETS Centre of Excellence, Royal North Shore Hospital, Sydney, New South Wales, Australia;
2Faculty of Medicine and Health, University of Sydney, Sydney, New South Wales, Australia;
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Aimee Hayes
3Neuroendocrine Tumour Department, ENETS Centre of Excellence, Royal Free Hospital, London, United Kingdom;
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Ioannis Karfis
4Nuclear Medicine Department, Institut Jules Bordet, ENETS Centre of Excellence, Université Libre de Bruxelles, Hôpital Universitaire de Bruxelles, Brussels, Belgium;
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Alice Conner
2Faculty of Medicine and Health, University of Sydney, Sydney, New South Wales, Australia;
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Magdalena Mileva
4Nuclear Medicine Department, Institut Jules Bordet, ENETS Centre of Excellence, Université Libre de Bruxelles, Hôpital Universitaire de Bruxelles, Brussels, Belgium;
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Elizabeth Bernard
5Nuclear Medicine Department, ENETS Centre of Excellence, Royal North Shore Hospital, Sydney, New South Wales, Australia; and
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Shaunak Navalkissoor
3Neuroendocrine Tumour Department, ENETS Centre of Excellence, Royal Free Hospital, London, United Kingdom;
6Nuclear Medicine Department, ENETS Centre of Excellence, Royal Free Hospital, London, United Kingdom
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Gopinath Gnanasekaran
3Neuroendocrine Tumour Department, ENETS Centre of Excellence, Royal Free Hospital, London, United Kingdom;
6Nuclear Medicine Department, ENETS Centre of Excellence, Royal Free Hospital, London, United Kingdom
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Stephen J. Clarke
1Medical Oncology Department, ENETS Centre of Excellence, Royal North Shore Hospital, Sydney, New South Wales, Australia;
2Faculty of Medicine and Health, University of Sydney, Sydney, New South Wales, Australia;
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Paul J. Roach
5Nuclear Medicine Department, ENETS Centre of Excellence, Royal North Shore Hospital, Sydney, New South Wales, Australia; and
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Patrick Flamen
4Nuclear Medicine Department, Institut Jules Bordet, ENETS Centre of Excellence, Université Libre de Bruxelles, Hôpital Universitaire de Bruxelles, Brussels, Belgium;
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Martyn E. Caplin
3Neuroendocrine Tumour Department, ENETS Centre of Excellence, Royal Free Hospital, London, United Kingdom;
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Nick Pavlakis
1Medical Oncology Department, ENETS Centre of Excellence, Royal North Shore Hospital, Sydney, New South Wales, Australia;
2Faculty of Medicine and Health, University of Sydney, Sydney, New South Wales, Australia;
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Christos Toumpanakis
3Neuroendocrine Tumour Department, ENETS Centre of Excellence, Royal Free Hospital, London, United Kingdom;
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Dale L. Bailey
2Faculty of Medicine and Health, University of Sydney, Sydney, New South Wales, Australia;
5Nuclear Medicine Department, ENETS Centre of Excellence, Royal North Shore Hospital, Sydney, New South Wales, Australia; and
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Abstract

[18F]FDG PET/CT avidity predicts higher-grade disease and worse prognosis in patients with metastatic neuroendocrine neoplasm. However, there is less evidence regarding the role of [18F]FDG-avid tumor volume in predicting prognosis. We planned to determine whether metabolic tumor volume (MTV) on [18F]FDG PET/CT predicts prognosis in patients with advanced gastroenteropancreatic neuroendocrine neoplasm (GEPNEN). Methods: A multicenter retrospective study was performed on patients with advanced GEPNEN who underwent [18F]FDG PET/CT in a previously established cohort. Images were acquired across 3 centers using harmonized protocols and were contoured and verified at a flat SUV threshold of 4 using a semiautomated software workflow. The primary endpoint was overall survival. Patients were dichotomized into high- and low-MTV groups by the median value, with the overall survival of the 2 resulting cohorts compared by log-rank tests and multivariate analyses. Results: In total, 231 patients were included (49% male; median age, 60 y). In 45% of cases the primary was the pancreas, in 42% the small bowel, and in 13% another location. Regarding World Health Organization 2019 grade, 23% were grade 1, 52% grade 2, 21% grade 3, and 4% an unknown grade. The median follow-up was 27 mo (interquartile range, 11–49 mo), and median overall survival was 38.6 mo. Median overall survival was shorter in the high-MTV cohort than in the low-MTV cohort (cut point, 16.5 cm3; 23.8 mo vs. not reached; hazard ratio, 2.49; 95% CI, 1.69–3.66; P < 0.0001). Median time to treatment failure was also shorter in the high-MTV cohort (11.7 mo vs. 16.9 mo; hazard ratio, 1.52; 95% CI, 1.13–2.06; P = 0.005). Increasing histologic grade was associated with higher MTV (P = 0.0006, 1-way ANOVA). Multivariate analysis incorporating age, grade, sex, SUVmax, and MTV showed that only grade (P = 0.001) and MTV (P < 0.001) were independently prognostic. Conclusion: MTV is a prognostic biomarker in advanced GEPNEN. Reports of [18F]FDG PET in GEPNEN may benefit from comments on MTV in addition to the degree of [18F]FDG avidity.

  • prognostic biomarker
  • PET imaging
  • [18F]FDG
  • metabolic tumor volume

Footnotes

  • ↵* Contributed equally to this work.

  • Published online May 22, 2025.

  • © 2025 by the Society of Nuclear Medicine and Molecular Imaging.
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Journal of Nuclear Medicine: 66 (5)
Journal of Nuclear Medicine
Vol. 66, Issue 5
May 1, 2025
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[18F]FDG Metabolic Tumor Volume as a Prognostic Marker in Neuroendocrine Neoplasm: A Multicenter Study
David L. Chan, Aimee Hayes, Ioannis Karfis, Alice Conner, Magdalena Mileva, Elizabeth Bernard, Shaunak Navalkissoor, Gopinath Gnanasekaran, Stephen J. Clarke, Paul J. Roach, Patrick Flamen, Martyn E. Caplin, Nick Pavlakis, Christos Toumpanakis, Dale L. Bailey
Journal of Nuclear Medicine May 2025, jnumed.124.269031; DOI: 10.2967/jnumed.124.269031

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[18F]FDG Metabolic Tumor Volume as a Prognostic Marker in Neuroendocrine Neoplasm: A Multicenter Study
David L. Chan, Aimee Hayes, Ioannis Karfis, Alice Conner, Magdalena Mileva, Elizabeth Bernard, Shaunak Navalkissoor, Gopinath Gnanasekaran, Stephen J. Clarke, Paul J. Roach, Patrick Flamen, Martyn E. Caplin, Nick Pavlakis, Christos Toumpanakis, Dale L. Bailey
Journal of Nuclear Medicine May 2025, jnumed.124.269031; DOI: 10.2967/jnumed.124.269031
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Keywords

  • prognostic biomarker
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  • metabolic tumor volume
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