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Prediction of 177Lu-DOTATATE PRRT Outcome Using Multimodality Imaging in Patients with Gastroenteropancreatic Neuroendocrine Tumors: Results from a Prospective Phase II LUMEN Study.
Mileva, Magdalena; Marin, Gwennaëlle; Levillain, Hugo; Artigas, Carlos; Van Bogaert, Camille; Marin, Clémentine; Danieli, Rachele; Deleporte, Amelie; Picchia, Simona; Stathopoulos, Konstantinos; Jungels, Christiane; Vanderlinden, Bruno; Paesmans, Marianne; Ameye, Lieveke; Critchi, Gabriela; Taraji-Schiltz, Loubna; Velghe, Chloe; Wimana, Zéna; Bali, Maria; Hendlisz, Alain; Flamen, Patrick; Karfis, Ioannis.
Afiliação
  • Mileva M; Nuclear Medicine Department, Institut Jules Bordet, ENETS Centre of Excellence, Hôpital Universitaire de Bruxelles, Université Libre de Bruxelles, Brussels, Belgium.
  • Marin G; Medical Physics Department, Institut Jules Bordet, ENETS Centre of Excellence, Hôpital Universitaire de Bruxelles, Université Libre de Bruxelles, Brussels, Belgium.
  • Levillain H; Medical Physics Department, Institut Jules Bordet, ENETS Centre of Excellence, Hôpital Universitaire de Bruxelles, Université Libre de Bruxelles, Brussels, Belgium.
  • Artigas C; Nuclear Medicine Department, Institut Jules Bordet, ENETS Centre of Excellence, Hôpital Universitaire de Bruxelles, Université Libre de Bruxelles, Brussels, Belgium.
  • Van Bogaert C; Nuclear Medicine Department, CUB-Hôpital Erasme, ENETS Centre of Excellence, Hôpital Universitaire de Bruxelles, Université Libre de Bruxelles, Brussels, Belgium.
  • Marin C; Medical Physics Department, Institut Jules Bordet, ENETS Centre of Excellence, Hôpital Universitaire de Bruxelles, Université Libre de Bruxelles, Brussels, Belgium.
  • Danieli R; Medical Physics Department, Institut Jules Bordet, ENETS Centre of Excellence, Hôpital Universitaire de Bruxelles, Université Libre de Bruxelles, Brussels, Belgium.
  • Deleporte A; Medical Oncology Department, Institut Jules Bordet, ENETS Centre of Excellence, Hôpital Universitaire de Bruxelles, Université Libre de Bruxelles, Brussels, Belgium.
  • Picchia S; Radiology Department, Institut Jules Bordet, ENETS Centre of Excellence, Hôpital Universitaire de Bruxelles, Université Libre de Bruxelles, Brussels, Belgium.
  • Stathopoulos K; Radiology Department, Institut Jules Bordet, ENETS Centre of Excellence, Hôpital Universitaire de Bruxelles, Université Libre de Bruxelles, Brussels, Belgium.
  • Jungels C; Medical Oncology Department, Institut Jules Bordet, ENETS Centre of Excellence, Hôpital Universitaire de Bruxelles, Université Libre de Bruxelles, Brussels, Belgium.
  • Vanderlinden B; Medical Physics Department, Institut Jules Bordet, ENETS Centre of Excellence, Hôpital Universitaire de Bruxelles, Université Libre de Bruxelles, Brussels, Belgium.
  • Paesmans M; Data Center, Institut Jules Bordet, ENETS Centre of Excellence, Hôpital Universitaire de Bruxelles, Université Libre de Bruxelles, Brussels, Belgium; and.
  • Ameye L; Data Center, Institut Jules Bordet, ENETS Centre of Excellence, Hôpital Universitaire de Bruxelles, Université Libre de Bruxelles, Brussels, Belgium; and.
  • Critchi G; Nuclear Medicine Department, Institut Jules Bordet, ENETS Centre of Excellence, Hôpital Universitaire de Bruxelles, Université Libre de Bruxelles, Brussels, Belgium.
  • Taraji-Schiltz L; Nuclear Medicine Department, Institut Jules Bordet, ENETS Centre of Excellence, Hôpital Universitaire de Bruxelles, Université Libre de Bruxelles, Brussels, Belgium.
  • Velghe C; Data Center, Institut Jules Bordet, ENETS Centre of Excellence, Hôpital Universitaire de Bruxelles, Université Libre de Bruxelles, Brussels, Belgium; and.
  • Wimana Z; Nuclear Medicine Department, Institut Jules Bordet, ENETS Centre of Excellence, Hôpital Universitaire de Bruxelles, Université Libre de Bruxelles, Brussels, Belgium.
  • Bali M; Radiopharmacy Department, Institut Jules Bordet, ENETS Centre of Excellence, Hôpital Universitaire de Bruxelles, Université Libre de Bruxelles, Brussels, Belgium.
  • Hendlisz A; Radiology Department, Institut Jules Bordet, ENETS Centre of Excellence, Hôpital Universitaire de Bruxelles, Université Libre de Bruxelles, Brussels, Belgium.
  • Flamen P; Medical Oncology Department, Institut Jules Bordet, ENETS Centre of Excellence, Hôpital Universitaire de Bruxelles, Université Libre de Bruxelles, Brussels, Belgium.
  • Karfis I; Nuclear Medicine Department, Institut Jules Bordet, ENETS Centre of Excellence, Hôpital Universitaire de Bruxelles, Université Libre de Bruxelles, Brussels, Belgium.
J Nucl Med ; 65(2): 236-244, 2024 Feb 01.
Article em En | MEDLINE | ID: mdl-38164576
ABSTRACT
Our objective was to predict the outcome of peptide receptor radionuclide therapy (PRRT) using multimodality imaging and tumor dosimetry on gastroenteropancreatic neuroendocrine tumor (GEP-NET) lesions and patients.

Methods:

This prospective study included patients with progressive GEP-NETs. Treatment consisted of 4 cycles of 7.4 GBq of 177Lu-DOTATATE. Imaging parameters were measured on 68Ga-DOTATATE PET/CT (SUVmax/mean, somatostatin receptor [SSTR] tumor volume [TV], total lesion SSTR expression, and tumor-to-blood and tumor-to-spleen ratios), 18F-FDG PET/CT (SUVmax/mean, metabolically active TV, and total lesion glycolysis), and diffusion-weighted MRI (apparent diffusion coefficient) in a maximum of 5 target lesions per patient at approximately 10 wk after each injection. Tumor dosimetry was performed using SPECT/CT at 3 time points for every cycle. Baseline imaging parameters, their relative changes after PRRT cycle 1 (C1), and the tumor-absorbed dose at C1 were correlated with lesion morphologic outcome. The average values of the imaging parameters and the minimal, maximal, and mean C1 tumor-absorbed dose in each patient were tested for association with progression-free survival (PFS) and best objective response (RECIST 1.1).

Results:

In the 37 patients, the median PFS was 28 mo. Eleven of the 37 (30%) achieved a partial response (RECIST 1.1). After a median follow-up of 57 mo, the median time to lesion progression had not been reached in 84 morphologically evaluable lesions, with only 12 (14%) progressing (size increase ≥ 20% from baseline). Patients receiving a minimal C1 dose of 35 Gy in all target lesions exhibited a significantly longer PFS (48.1 vs. 26.2 mo; hazard ratio, 0.37; 95% CI, 0.17-0.82; P = 0.02). Volumetric 68Ga-DOTATATE PET parameters correlated with lesion and patient

outcome:

patients with an SSTR TV decrease of more than 10% after C1 had a longer PFS (51.3 vs. 22.8 mo; hazard ratio, 0.35; 95% CI, 0.16-0.75; P = 0.003). There was no statistical evidence of an association between other dosimetric or imaging parameters and the lesion or patient outcome.

Conclusion:

Minimal tumor-absorbed dose at C1 is predictive of outcome in patients with GEP-NETs treated with PRRT, providing a basis for personalized dosimetry-guided treatment strategies. An SSTR TV decrease after C1 could be used for early therapy response assessment as a predictor of PRRT outcome.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Compostos Organometálicos / Neoplasias Pancreáticas / Neoplasias Gástricas / Cintilografia / Tumores Neuroendócrinos / Tomografia por Emissão de Pósitrons / Neoplasias Intestinais Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Compostos Organometálicos / Neoplasias Pancreáticas / Neoplasias Gástricas / Cintilografia / Tumores Neuroendócrinos / Tomografia por Emissão de Pósitrons / Neoplasias Intestinais Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2024 Tipo de documento: Article