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Diagnostic performance of PET/CT in the detection of liver metastases in well-differentiated NETs

BACKGROUND: The aim of this retrospective study was to compare the diagnostic accuracy of somatostatin receptor (SSR)-PET/CT to liver MRI as reference standard in the evaluation of hepatic involvement in neuroendocrine tumors (NET). METHODS: An institutional database was screened for “SSR” imaging s...

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Autores principales: Grawe, Freba, Rosenberger, Natalie, Ingenerf, Maria, Beyer, Leonie, Eschbach, Ralf, Todica, Andrei, Seidensticker, Ricarda, Schmid-Tannwald, Christine, Cyran, Clemens C., Ricke, Jens, Bartenstein, Peter, Auernhammer, Christoph. J., Ruebenthaler, Johannes, Fabritius, Matthias P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10131442/
https://www.ncbi.nlm.nih.gov/pubmed/37098632
http://dx.doi.org/10.1186/s40644-023-00556-9
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author Grawe, Freba
Rosenberger, Natalie
Ingenerf, Maria
Beyer, Leonie
Eschbach, Ralf
Todica, Andrei
Seidensticker, Ricarda
Schmid-Tannwald, Christine
Cyran, Clemens C.
Ricke, Jens
Bartenstein, Peter
Auernhammer, Christoph. J.
Ruebenthaler, Johannes
Fabritius, Matthias P.
author_facet Grawe, Freba
Rosenberger, Natalie
Ingenerf, Maria
Beyer, Leonie
Eschbach, Ralf
Todica, Andrei
Seidensticker, Ricarda
Schmid-Tannwald, Christine
Cyran, Clemens C.
Ricke, Jens
Bartenstein, Peter
Auernhammer, Christoph. J.
Ruebenthaler, Johannes
Fabritius, Matthias P.
author_sort Grawe, Freba
collection PubMed
description BACKGROUND: The aim of this retrospective study was to compare the diagnostic accuracy of somatostatin receptor (SSR)-PET/CT to liver MRI as reference standard in the evaluation of hepatic involvement in neuroendocrine tumors (NET). METHODS: An institutional database was screened for “SSR” imaging studies between 2006 and 2021. 1000 NET Patients (grade 1/2) with 2383 SSR-PET/CT studies and matching liver MRI in an interval of +3 months were identified. Medical reports of SSR-PET/CT and MRI were retrospectively evaluated regarding hepatic involvement and either confirmed by both or observed in MRI but not in SSR-PET/CT (false-negative) or in SSR-PET but not in MRI (false-positive). RESULTS: Metastatic hepatic involvement was reported in 1650 (69.2%) of the total 2383 SSR-PET/CT imaging studies, whereas MRI detected hepatic involvement in 1685 (70.7%) cases. There were 51 (2.1%) false-negative and 16 (0.7%) false-positive cases. In case of discrepant reports, MRI and PET/CT were reviewed side by side for consensus reading. SSR-PET/CT demonstrated a sensitivity of 97.0% (95%CI: 96.0%, 97.7%), a specificity of 97.7% (95%CI: 96.3%, 98.7%), a PPV of 99.0% (95%CI: 98.4%, 99.4%) and NPV of 93.0% (95%CI: 91.0, 94.8%) in identifying hepatic involvement. The most frequent reason for false-negative results was the small size of lesions with the majority < 0.6 cm. CONCLUSION: This study confirms the high diagnostic accuracy of SSR-PET/CT in the detection of hepatic involvement in NET patients based on a patient-based analysis of metastatic hepatic involvement with a high sensitivity and specificity using liver MRI imaging as reference standard. However, one should be aware of possible pitfalls when a single imaging method is used in evaluating neuroendocrine liver metastases in patients. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s40644-023-00556-9.
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spelling pubmed-101314422023-04-27 Diagnostic performance of PET/CT in the detection of liver metastases in well-differentiated NETs Grawe, Freba Rosenberger, Natalie Ingenerf, Maria Beyer, Leonie Eschbach, Ralf Todica, Andrei Seidensticker, Ricarda Schmid-Tannwald, Christine Cyran, Clemens C. Ricke, Jens Bartenstein, Peter Auernhammer, Christoph. J. Ruebenthaler, Johannes Fabritius, Matthias P. Cancer Imaging Research Article BACKGROUND: The aim of this retrospective study was to compare the diagnostic accuracy of somatostatin receptor (SSR)-PET/CT to liver MRI as reference standard in the evaluation of hepatic involvement in neuroendocrine tumors (NET). METHODS: An institutional database was screened for “SSR” imaging studies between 2006 and 2021. 1000 NET Patients (grade 1/2) with 2383 SSR-PET/CT studies and matching liver MRI in an interval of +3 months were identified. Medical reports of SSR-PET/CT and MRI were retrospectively evaluated regarding hepatic involvement and either confirmed by both or observed in MRI but not in SSR-PET/CT (false-negative) or in SSR-PET but not in MRI (false-positive). RESULTS: Metastatic hepatic involvement was reported in 1650 (69.2%) of the total 2383 SSR-PET/CT imaging studies, whereas MRI detected hepatic involvement in 1685 (70.7%) cases. There were 51 (2.1%) false-negative and 16 (0.7%) false-positive cases. In case of discrepant reports, MRI and PET/CT were reviewed side by side for consensus reading. SSR-PET/CT demonstrated a sensitivity of 97.0% (95%CI: 96.0%, 97.7%), a specificity of 97.7% (95%CI: 96.3%, 98.7%), a PPV of 99.0% (95%CI: 98.4%, 99.4%) and NPV of 93.0% (95%CI: 91.0, 94.8%) in identifying hepatic involvement. The most frequent reason for false-negative results was the small size of lesions with the majority < 0.6 cm. CONCLUSION: This study confirms the high diagnostic accuracy of SSR-PET/CT in the detection of hepatic involvement in NET patients based on a patient-based analysis of metastatic hepatic involvement with a high sensitivity and specificity using liver MRI imaging as reference standard. However, one should be aware of possible pitfalls when a single imaging method is used in evaluating neuroendocrine liver metastases in patients. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s40644-023-00556-9. BioMed Central 2023-04-25 /pmc/articles/PMC10131442/ /pubmed/37098632 http://dx.doi.org/10.1186/s40644-023-00556-9 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research Article
Grawe, Freba
Rosenberger, Natalie
Ingenerf, Maria
Beyer, Leonie
Eschbach, Ralf
Todica, Andrei
Seidensticker, Ricarda
Schmid-Tannwald, Christine
Cyran, Clemens C.
Ricke, Jens
Bartenstein, Peter
Auernhammer, Christoph. J.
Ruebenthaler, Johannes
Fabritius, Matthias P.
Diagnostic performance of PET/CT in the detection of liver metastases in well-differentiated NETs
title Diagnostic performance of PET/CT in the detection of liver metastases in well-differentiated NETs
title_full Diagnostic performance of PET/CT in the detection of liver metastases in well-differentiated NETs
title_fullStr Diagnostic performance of PET/CT in the detection of liver metastases in well-differentiated NETs
title_full_unstemmed Diagnostic performance of PET/CT in the detection of liver metastases in well-differentiated NETs
title_short Diagnostic performance of PET/CT in the detection of liver metastases in well-differentiated NETs
title_sort diagnostic performance of pet/ct in the detection of liver metastases in well-differentiated nets
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10131442/
https://www.ncbi.nlm.nih.gov/pubmed/37098632
http://dx.doi.org/10.1186/s40644-023-00556-9
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