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Prediction of the aggressiveness of non-functional pancreatic neuroendocrine tumors based on the dual-tracer PET/CT

BACKGROUND: Predicting the aggressive behavior of non-functional pancreatic neuroendocrine tumors (NF-PNET) remains controversial. We wanted to explore, in a prospective setting, whether the diagnostic accuracy can be improved by dual-tracer functional imaging (68)Ga-DOTANOC and (18)F-FDG-PET/CT in...

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Autores principales: Majala, Susanna, Seppänen, Hanna, Kemppainen, Jukka, Sundström, Jari, Schalin-Jäntti, Camilla, Gullichsen, Risto, Schildt, Jukka, Mustonen, Harri, Vesterinen, Tiina, Arola, Johanna, Kauhanen, Saila
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6928175/
https://www.ncbi.nlm.nih.gov/pubmed/31872324
http://dx.doi.org/10.1186/s13550-019-0585-7
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author Majala, Susanna
Seppänen, Hanna
Kemppainen, Jukka
Sundström, Jari
Schalin-Jäntti, Camilla
Gullichsen, Risto
Schildt, Jukka
Mustonen, Harri
Vesterinen, Tiina
Arola, Johanna
Kauhanen, Saila
author_facet Majala, Susanna
Seppänen, Hanna
Kemppainen, Jukka
Sundström, Jari
Schalin-Jäntti, Camilla
Gullichsen, Risto
Schildt, Jukka
Mustonen, Harri
Vesterinen, Tiina
Arola, Johanna
Kauhanen, Saila
author_sort Majala, Susanna
collection PubMed
description BACKGROUND: Predicting the aggressive behavior of non-functional pancreatic neuroendocrine tumors (NF-PNET) remains controversial. We wanted to explore, in a prospective setting, whether the diagnostic accuracy can be improved by dual-tracer functional imaging (68)Ga-DOTANOC and (18)F-FDG-PET/CT in patients with NF-PNETs. METHODS: Thirty-one patients with NF-PNET (90% asymptomatic) underwent PET-imaging with (18)F-FDG and (68)Ga-DOTANOC, followed by surgery (n = 20), an endoscopic ultrasonography and fine-needle biopsy (n = 2) or follow-up (n = 9). A focal activity on PET/CT greater than the background that could not be identified as physiological activity was considered to indicate tumor tissue. The imaging results were compared to histopathology. The mean follow-up time was 31.3 months. RESULTS: Thirty-one patients presented a total of 53 lesions (40 histologically confirmed) on PET/CT. Thirty patients had a (68)Ga-DOTANOC-positive tumor (sensitivity 97%) and 10 patients had an (18)F-FDG-positive tumor. In addition, one (68)Ga-DOTANOC-negative patient was (18)F-FDG-positive. (18)F-FDG-PET/CT was positive in 19% (3/16) of the G1 tumors, 63% (5/8) of the G2 tumors and 1/1 of the well-differentiated G3 tumor. (68)Ga-DOTANOC-PET/CT was positive in 94% of the G1 tumors, 100% of the G2 tumors and 1/1 of the well-differentiated G3 tumor. Two out of six (33%) of the patients with lymph node metastases (LN+) were (18)F-FDG-positive. The (18)F-FDG-PET/CT correlated with tumor Ki-67 (P = 0.021). Further, the Krenning score correlated with tumor Ki-67 (P = 0.013). (18)F-FDG-positive tumors were significantly larger than the (18)F-FDG-negative tumors (P = 0.012). (18)F-FDG-PET/CT showed a positive predictive value of 78% in the detection of potentially aggressive tumors (G2, G3, or LN + PNETs); the negative predictive value was 69%. CONCLUSIONS: (18)F-FDG-PET/CT is useful to predict tumor grade but not the LN+ of NF-PNETs. Patients with (18)F-FDG-avid NF-PNETs should be referred for surgery. The (68)Ga-DOTANOC-PET/CT also has prognostic value since the Krenning score predicts the histopathological tumor grade. TRIAL REGISTRATION: The study has been registered at ClinicalTrials.gov; Non-functional Pancreatic NET and PET imaging, NCT02621541.
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spelling pubmed-69281752020-01-08 Prediction of the aggressiveness of non-functional pancreatic neuroendocrine tumors based on the dual-tracer PET/CT Majala, Susanna Seppänen, Hanna Kemppainen, Jukka Sundström, Jari Schalin-Jäntti, Camilla Gullichsen, Risto Schildt, Jukka Mustonen, Harri Vesterinen, Tiina Arola, Johanna Kauhanen, Saila EJNMMI Res Original Research BACKGROUND: Predicting the aggressive behavior of non-functional pancreatic neuroendocrine tumors (NF-PNET) remains controversial. We wanted to explore, in a prospective setting, whether the diagnostic accuracy can be improved by dual-tracer functional imaging (68)Ga-DOTANOC and (18)F-FDG-PET/CT in patients with NF-PNETs. METHODS: Thirty-one patients with NF-PNET (90% asymptomatic) underwent PET-imaging with (18)F-FDG and (68)Ga-DOTANOC, followed by surgery (n = 20), an endoscopic ultrasonography and fine-needle biopsy (n = 2) or follow-up (n = 9). A focal activity on PET/CT greater than the background that could not be identified as physiological activity was considered to indicate tumor tissue. The imaging results were compared to histopathology. The mean follow-up time was 31.3 months. RESULTS: Thirty-one patients presented a total of 53 lesions (40 histologically confirmed) on PET/CT. Thirty patients had a (68)Ga-DOTANOC-positive tumor (sensitivity 97%) and 10 patients had an (18)F-FDG-positive tumor. In addition, one (68)Ga-DOTANOC-negative patient was (18)F-FDG-positive. (18)F-FDG-PET/CT was positive in 19% (3/16) of the G1 tumors, 63% (5/8) of the G2 tumors and 1/1 of the well-differentiated G3 tumor. (68)Ga-DOTANOC-PET/CT was positive in 94% of the G1 tumors, 100% of the G2 tumors and 1/1 of the well-differentiated G3 tumor. Two out of six (33%) of the patients with lymph node metastases (LN+) were (18)F-FDG-positive. The (18)F-FDG-PET/CT correlated with tumor Ki-67 (P = 0.021). Further, the Krenning score correlated with tumor Ki-67 (P = 0.013). (18)F-FDG-positive tumors were significantly larger than the (18)F-FDG-negative tumors (P = 0.012). (18)F-FDG-PET/CT showed a positive predictive value of 78% in the detection of potentially aggressive tumors (G2, G3, or LN + PNETs); the negative predictive value was 69%. CONCLUSIONS: (18)F-FDG-PET/CT is useful to predict tumor grade but not the LN+ of NF-PNETs. Patients with (18)F-FDG-avid NF-PNETs should be referred for surgery. The (68)Ga-DOTANOC-PET/CT also has prognostic value since the Krenning score predicts the histopathological tumor grade. TRIAL REGISTRATION: The study has been registered at ClinicalTrials.gov; Non-functional Pancreatic NET and PET imaging, NCT02621541. Springer Berlin Heidelberg 2019-12-23 /pmc/articles/PMC6928175/ /pubmed/31872324 http://dx.doi.org/10.1186/s13550-019-0585-7 Text en © The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
spellingShingle Original Research
Majala, Susanna
Seppänen, Hanna
Kemppainen, Jukka
Sundström, Jari
Schalin-Jäntti, Camilla
Gullichsen, Risto
Schildt, Jukka
Mustonen, Harri
Vesterinen, Tiina
Arola, Johanna
Kauhanen, Saila
Prediction of the aggressiveness of non-functional pancreatic neuroendocrine tumors based on the dual-tracer PET/CT
title Prediction of the aggressiveness of non-functional pancreatic neuroendocrine tumors based on the dual-tracer PET/CT
title_full Prediction of the aggressiveness of non-functional pancreatic neuroendocrine tumors based on the dual-tracer PET/CT
title_fullStr Prediction of the aggressiveness of non-functional pancreatic neuroendocrine tumors based on the dual-tracer PET/CT
title_full_unstemmed Prediction of the aggressiveness of non-functional pancreatic neuroendocrine tumors based on the dual-tracer PET/CT
title_short Prediction of the aggressiveness of non-functional pancreatic neuroendocrine tumors based on the dual-tracer PET/CT
title_sort prediction of the aggressiveness of non-functional pancreatic neuroendocrine tumors based on the dual-tracer pet/ct
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6928175/
https://www.ncbi.nlm.nih.gov/pubmed/31872324
http://dx.doi.org/10.1186/s13550-019-0585-7
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