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Volumetric parameters from [ (18)F]FDG PET/CT predicts survival in patients with high‐grade gastroenteropancreatic neuroendocrine neoplasms

A positive fluorine‐18 labelled 2‐deoxy‐2‐fluoroglucose ([(18)F]FDG) positron emission tomography/computed tomography (PET/CT) has been associated with more aggressive disease and less differentiated neuroendocrine neoplasms (NEN). Although a high maximum standardized uptake value (SUV(max)) predict...

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Autores principales: Langen Stokmo, Henning, Aly, Mahmoud, Bowitz Lothe, Inger Marie, Borja, Austin J., Mehdizadeh Seraj, Siavash, Ghorpade, Rina, Miao, Xuan, Hjortland, Geir Olav, Malinen, Eirik, Sorbye, Halfdan, Werner, Thomas J., Alavi, Abass, Revheim, Mona‐Elisabeth
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9539477/
https://www.ncbi.nlm.nih.gov/pubmed/35729738
http://dx.doi.org/10.1111/jne.13170
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author Langen Stokmo, Henning
Aly, Mahmoud
Bowitz Lothe, Inger Marie
Borja, Austin J.
Mehdizadeh Seraj, Siavash
Ghorpade, Rina
Miao, Xuan
Hjortland, Geir Olav
Malinen, Eirik
Sorbye, Halfdan
Werner, Thomas J.
Alavi, Abass
Revheim, Mona‐Elisabeth
author_facet Langen Stokmo, Henning
Aly, Mahmoud
Bowitz Lothe, Inger Marie
Borja, Austin J.
Mehdizadeh Seraj, Siavash
Ghorpade, Rina
Miao, Xuan
Hjortland, Geir Olav
Malinen, Eirik
Sorbye, Halfdan
Werner, Thomas J.
Alavi, Abass
Revheim, Mona‐Elisabeth
author_sort Langen Stokmo, Henning
collection PubMed
description A positive fluorine‐18 labelled 2‐deoxy‐2‐fluoroglucose ([(18)F]FDG) positron emission tomography/computed tomography (PET/CT) has been associated with more aggressive disease and less differentiated neuroendocrine neoplasms (NEN). Although a high maximum standardized uptake value (SUV(max)) predicts poor outcome in NEN, volumetric parameters from [(18)F]FDG PET have not been evaluated for prognostication in a pure high‐grade gastroenteropancreatic (GEP) NEN cohort. In this retrospective observational study, we evaluated the volumetric PET parameters total metabolic tumour volume (tMTV) and total total lesion glycolysis (tTLG) for independent prognostication of overall survival (OS). High‐grade GEP NEN patients with [(18)F]FDG PET/CT examination and biopsy within 90 days were included. Total MTV and tTLG were calculated using an adaptive thresholding software. Patients were dichotomised into low and high metabolic groups based on median tMTV and tTLG. OS was compared using Kaplan–Meier estimator and log‐rank test. Uni and multivariable Cox regression was used to estimate effect sizes and adjust for tumour differentiation and SUV(max). Sixty‐six patients (median age 64 years) were included with 14 NET G3 and 52 NEC cases after histological re‐evaluation. Median tMTV was 208 cm(3) and median tTLG 1899 g. Median OS in the low versus high tMTV‐group was 21.2 versus 5.7 months (HR 2.53, p = 0.0007) and 22.8 versus 5.7 months (HR 2.42, p = 0.0012) in the tTLG‐group. Adjusted for tumour differentiation and SUV(max), tMTV and tTLG still predicted for poor OS, and both tMTV and tTLG were stronger prognostic parameters than SUV(max). Both regression models showed a strong association between volumetric parameters and OS for both neuroendocrine tumours (NET) G3 and neuroendocrine carcinomas (NEC). OS for the tTLG low metabolic NEC was much higher than for the tTLG high metabolic NET G3 (18.3 vs. 5.7 months). High‐grade GEP NEN patients with high tMTV or tTLG had a worse OS regardless of tumour differentiation (NET G3 or NEC). Volumetric PET parameters were stronger prognostic parameters than SUV(max).
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spelling pubmed-95394772022-10-14 Volumetric parameters from [ (18)F]FDG PET/CT predicts survival in patients with high‐grade gastroenteropancreatic neuroendocrine neoplasms Langen Stokmo, Henning Aly, Mahmoud Bowitz Lothe, Inger Marie Borja, Austin J. Mehdizadeh Seraj, Siavash Ghorpade, Rina Miao, Xuan Hjortland, Geir Olav Malinen, Eirik Sorbye, Halfdan Werner, Thomas J. Alavi, Abass Revheim, Mona‐Elisabeth J Neuroendocrinol Translational and Clinical Neuroendocrinology A positive fluorine‐18 labelled 2‐deoxy‐2‐fluoroglucose ([(18)F]FDG) positron emission tomography/computed tomography (PET/CT) has been associated with more aggressive disease and less differentiated neuroendocrine neoplasms (NEN). Although a high maximum standardized uptake value (SUV(max)) predicts poor outcome in NEN, volumetric parameters from [(18)F]FDG PET have not been evaluated for prognostication in a pure high‐grade gastroenteropancreatic (GEP) NEN cohort. In this retrospective observational study, we evaluated the volumetric PET parameters total metabolic tumour volume (tMTV) and total total lesion glycolysis (tTLG) for independent prognostication of overall survival (OS). High‐grade GEP NEN patients with [(18)F]FDG PET/CT examination and biopsy within 90 days were included. Total MTV and tTLG were calculated using an adaptive thresholding software. Patients were dichotomised into low and high metabolic groups based on median tMTV and tTLG. OS was compared using Kaplan–Meier estimator and log‐rank test. Uni and multivariable Cox regression was used to estimate effect sizes and adjust for tumour differentiation and SUV(max). Sixty‐six patients (median age 64 years) were included with 14 NET G3 and 52 NEC cases after histological re‐evaluation. Median tMTV was 208 cm(3) and median tTLG 1899 g. Median OS in the low versus high tMTV‐group was 21.2 versus 5.7 months (HR 2.53, p = 0.0007) and 22.8 versus 5.7 months (HR 2.42, p = 0.0012) in the tTLG‐group. Adjusted for tumour differentiation and SUV(max), tMTV and tTLG still predicted for poor OS, and both tMTV and tTLG were stronger prognostic parameters than SUV(max). Both regression models showed a strong association between volumetric parameters and OS for both neuroendocrine tumours (NET) G3 and neuroendocrine carcinomas (NEC). OS for the tTLG low metabolic NEC was much higher than for the tTLG high metabolic NET G3 (18.3 vs. 5.7 months). High‐grade GEP NEN patients with high tMTV or tTLG had a worse OS regardless of tumour differentiation (NET G3 or NEC). Volumetric PET parameters were stronger prognostic parameters than SUV(max). John Wiley and Sons Inc. 2022-06-21 2022-07 /pmc/articles/PMC9539477/ /pubmed/35729738 http://dx.doi.org/10.1111/jne.13170 Text en © 2022 The Authors. Journal of Neuroendocrinology published by John Wiley & Sons Ltd on behalf of British Society for Neuroendocrinology. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Translational and Clinical Neuroendocrinology
Langen Stokmo, Henning
Aly, Mahmoud
Bowitz Lothe, Inger Marie
Borja, Austin J.
Mehdizadeh Seraj, Siavash
Ghorpade, Rina
Miao, Xuan
Hjortland, Geir Olav
Malinen, Eirik
Sorbye, Halfdan
Werner, Thomas J.
Alavi, Abass
Revheim, Mona‐Elisabeth
Volumetric parameters from [ (18)F]FDG PET/CT predicts survival in patients with high‐grade gastroenteropancreatic neuroendocrine neoplasms
title Volumetric parameters from [ (18)F]FDG PET/CT predicts survival in patients with high‐grade gastroenteropancreatic neuroendocrine neoplasms
title_full Volumetric parameters from [ (18)F]FDG PET/CT predicts survival in patients with high‐grade gastroenteropancreatic neuroendocrine neoplasms
title_fullStr Volumetric parameters from [ (18)F]FDG PET/CT predicts survival in patients with high‐grade gastroenteropancreatic neuroendocrine neoplasms
title_full_unstemmed Volumetric parameters from [ (18)F]FDG PET/CT predicts survival in patients with high‐grade gastroenteropancreatic neuroendocrine neoplasms
title_short Volumetric parameters from [ (18)F]FDG PET/CT predicts survival in patients with high‐grade gastroenteropancreatic neuroendocrine neoplasms
title_sort volumetric parameters from [ (18)f]fdg pet/ct predicts survival in patients with high‐grade gastroenteropancreatic neuroendocrine neoplasms
topic Translational and Clinical Neuroendocrinology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9539477/
https://www.ncbi.nlm.nih.gov/pubmed/35729738
http://dx.doi.org/10.1111/jne.13170
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