Literature DB >> 30509093

Prognostic value of functional tumor burden on 68Ga-DOTATOC PET/CT in patients with pancreatic neuro-endocrine tumors.

J Ohnona1, V Nataf1, M Gauthe1, S Balogova2,1, O Belissant Benesty1, J Zhang-Yin1, J N Talbot1, F Montravers1.   

Abstract

Despite their relative quiescence, pancreatic neuro-endocrine tumors (pNET) can correspond to various presentations and outcomes. Several prognostic factors have been identified, including maximal standardized uptake value of the most intense focus (maxSUVmax) on Positron Emission Tomography (PET) with a somatostatin analogue. Herein, we investigate the prognostic value on progression free-survival of the total functional tumor volume (TFTV) measured by 68Ga-DOTATOC PET. From patients who underwent 68Ga-DOTATOC PET from 2008 to 2014, we selected consecutive patients with G1 or G2 pNET (2010 World Health Organization classification), at least one abnormal focus on PET and available follow-up data. TFTV was computed by summing the volumes of all pathological foci, delineated use of 41% of its SUVmax for each threshold focus. Fifty patients were included. During the follow-up period, 33 patients had stable or responsive disease (66%; median duration 28.5 months; range 6.3-77.7 months) and 17 patients experienced disease progression (34%; median progression time 21 months; range 6.7-44.7 months). Median PFS was 43.5 months. The best TFTV cut-off for predicting progression within 24 months was 13.8 cm3. Multivariate analysis determined that TFTV greater than 13.8 cm3 was the only criterion considered a significant risk factor for tumor progression (HR 2.9; p=0.0003). A significant difference in PFS was observed for TFTV (<13.8 vs. ≥ 13.8 cm3: median not reached vs. 25 months; p=0.0001). Our study suggests that 68Ga-DOTATOC TFTV measured on PET images is a valuable prognostic biomarker in patients with well-differentiated pNETs of all stages.

Entities:  

Mesh:

Substances:

Year:  2018        PMID: 30509093     DOI: 10.4149/neo_2018_180328N209

Source DB:  PubMed          Journal:  Neoplasma        ISSN: 0028-2685            Impact factor:   2.575


  5 in total

1.  A convolutional neural network for total tumor segmentation in [64Cu]Cu-DOTATATE PET/CT of patients with neuroendocrine neoplasms.

Authors:  Esben Andreas Carlsen; Kristian Lindholm; Andreas Kjaer; Flemming Littrup Andersen; Amalie Hindsholm; Mathias Gæde; Claes Nøhr Ladefoged; Mathias Loft; Camilla Bardram Johnbeck; Seppo Wang Langer; Peter Oturai; Ulrich Knigge
Journal:  EJNMMI Res       Date:  2022-05-28       Impact factor: 3.434

2.  The Quest for an Accurate Functional Tumor Volume with 68Ga-DOTATATE PET/CT.

Authors:  Ryan P Reddy; C Ross Schmidtlein; Romina G Giancipoli; Audrey Mauguen; Daniel LaFontaine; Heiko Schoder; Lisa Bodei
Journal:  J Nucl Med       Date:  2021-11-12       Impact factor: 11.082

3.  Semiautomatic Tumor Delineation for Evaluation of 64Cu-DOTATATE PET/CT in Patients with Neuroendocrine Neoplasms: Prognostication Based on Lowest Lesion Uptake and Total Tumor Volume.

Authors:  Esben Andreas Carlsen; Camilla Bardram Johnbeck; Mathias Loft; Andreas Pfeifer; Peter Oturai; Seppo W Langer; Ulrich Knigge; Claes Nøhr Ladefoged; Andreas Kjaer
Journal:  J Nucl Med       Date:  2021-02-26       Impact factor: 11.082

Review 4.  Role of PET/CT and Therapy Management of Pancreatic Neuroendocrine Tumors.

Authors:  Diletta Calabrò; Giulia Argalia; Valentina Ambrosini
Journal:  Diagnostics (Basel)       Date:  2020-12-07

5.  Prognostic Value of Volume-Based Parameters Measured by SSTR PET/CT in Neuroendocrine Tumors: A Systematic Review and Meta-Analysis.

Authors:  Jiale Hou; Yi Yang; Na Chen; Dengming Chen; Shuo Hu
Journal:  Front Med (Lausanne)       Date:  2021-11-26
  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.