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Diagnostic accuracy of SSR-PET/CT compared to histopathology in the identification of liver metastases from well-differentiated neuroendocrine tumors
BACKGROUND: Histopathology is the reference standard for diagnosing liver metastases of neuroendocrine tumors (NETs). Somatostatin receptor-positron emission tomography / computed tomography (SSR-PET/CT) has emerged as a promising non-invasive imaging modality for staging NETs. We aimed to assess th...
Autores principales: | , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10537814/ https://www.ncbi.nlm.nih.gov/pubmed/37770958 http://dx.doi.org/10.1186/s40644-023-00614-2 |
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author | Fabritius, M. P. Soltani, V. Cyran, C. C. Ricke, J. Bartenstein, P. Auernhammer, C. J. Spitzweg, C. Schnitzer, M. L. Ebner, R. Mansournia, S. Hinterberger, A. Lohse, A. Sheikh, G. T. Winkelmann, M. Knösel, T. Ingenerf, M. Schmid-Tannwald, C. Kunz, W. G. Rübenthaler, J. Grawe, Freba |
author_facet | Fabritius, M. P. Soltani, V. Cyran, C. C. Ricke, J. Bartenstein, P. Auernhammer, C. J. Spitzweg, C. Schnitzer, M. L. Ebner, R. Mansournia, S. Hinterberger, A. Lohse, A. Sheikh, G. T. Winkelmann, M. Knösel, T. Ingenerf, M. Schmid-Tannwald, C. Kunz, W. G. Rübenthaler, J. Grawe, Freba |
author_sort | Fabritius, M. P. |
collection | PubMed |
description | BACKGROUND: Histopathology is the reference standard for diagnosing liver metastases of neuroendocrine tumors (NETs). Somatostatin receptor-positron emission tomography / computed tomography (SSR-PET/CT) has emerged as a promising non-invasive imaging modality for staging NETs. We aimed to assess the diagnostic accuracy of SSR-PET/CT in the identification of liver metastases in patients with proven NETs compared to histopathology. METHODS: Histopathologic reports of 139 resected or biopsied liver lesions of patients with known NET were correlated with matching SSR-PET/CTs and the positive/negative predictive value (PPV/NPV), sensitivity, specificity, and diagnostic accuracy of SSR-PET/CT were evaluated. PET/CT reading was performed by one expert reader blinded to histopathology and clinical data. RESULTS: 133 of 139 (95.7%) liver lesions showed malignant SSR-uptake in PET/CT while initial histopathology reported on ‘liver metastases of NET´ in 127 (91.4%) cases, giving a PPV of 91.0%. Re-biopsy of the initially histopathologically negative lesions (reference standard) nevertheless diagnosed ‘liver metastases of NET’ in 6 cases, improving the PPV of PET/CT to 95.5%. Reasons for initial false-negative histopathology were inadequate sampling in the sense of non-target biopsies. The 6 (4.3%) SSR-negative lesions were all G2 NETs with a Ki-67 between 2–15%. CONCLUSION: SSR-PET/CT is a highly accurate imaging modality for the diagnosis of liver metastases in patients with proven NETs. However, we found that due to the well-known tumor heterogeneity of NETs, specifically in G2 NETs approximately 4–5% are SSR-negative and may require additional imaging with [(18)F]FDG PET/CT. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s40644-023-00614-2. |
format | Online Article Text |
id | pubmed-10537814 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-105378142023-09-29 Diagnostic accuracy of SSR-PET/CT compared to histopathology in the identification of liver metastases from well-differentiated neuroendocrine tumors Fabritius, M. P. Soltani, V. Cyran, C. C. Ricke, J. Bartenstein, P. Auernhammer, C. J. Spitzweg, C. Schnitzer, M. L. Ebner, R. Mansournia, S. Hinterberger, A. Lohse, A. Sheikh, G. T. Winkelmann, M. Knösel, T. Ingenerf, M. Schmid-Tannwald, C. Kunz, W. G. Rübenthaler, J. Grawe, Freba Cancer Imaging Research Article BACKGROUND: Histopathology is the reference standard for diagnosing liver metastases of neuroendocrine tumors (NETs). Somatostatin receptor-positron emission tomography / computed tomography (SSR-PET/CT) has emerged as a promising non-invasive imaging modality for staging NETs. We aimed to assess the diagnostic accuracy of SSR-PET/CT in the identification of liver metastases in patients with proven NETs compared to histopathology. METHODS: Histopathologic reports of 139 resected or biopsied liver lesions of patients with known NET were correlated with matching SSR-PET/CTs and the positive/negative predictive value (PPV/NPV), sensitivity, specificity, and diagnostic accuracy of SSR-PET/CT were evaluated. PET/CT reading was performed by one expert reader blinded to histopathology and clinical data. RESULTS: 133 of 139 (95.7%) liver lesions showed malignant SSR-uptake in PET/CT while initial histopathology reported on ‘liver metastases of NET´ in 127 (91.4%) cases, giving a PPV of 91.0%. Re-biopsy of the initially histopathologically negative lesions (reference standard) nevertheless diagnosed ‘liver metastases of NET’ in 6 cases, improving the PPV of PET/CT to 95.5%. Reasons for initial false-negative histopathology were inadequate sampling in the sense of non-target biopsies. The 6 (4.3%) SSR-negative lesions were all G2 NETs with a Ki-67 between 2–15%. CONCLUSION: SSR-PET/CT is a highly accurate imaging modality for the diagnosis of liver metastases in patients with proven NETs. However, we found that due to the well-known tumor heterogeneity of NETs, specifically in G2 NETs approximately 4–5% are SSR-negative and may require additional imaging with [(18)F]FDG PET/CT. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s40644-023-00614-2. BioMed Central 2023-09-28 /pmc/articles/PMC10537814/ /pubmed/37770958 http://dx.doi.org/10.1186/s40644-023-00614-2 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This 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 Fabritius, M. P. Soltani, V. Cyran, C. C. Ricke, J. Bartenstein, P. Auernhammer, C. J. Spitzweg, C. Schnitzer, M. L. Ebner, R. Mansournia, S. Hinterberger, A. Lohse, A. Sheikh, G. T. Winkelmann, M. Knösel, T. Ingenerf, M. Schmid-Tannwald, C. Kunz, W. G. Rübenthaler, J. Grawe, Freba Diagnostic accuracy of SSR-PET/CT compared to histopathology in the identification of liver metastases from well-differentiated neuroendocrine tumors |
title | Diagnostic accuracy of SSR-PET/CT compared to histopathology in the identification of liver metastases from well-differentiated neuroendocrine tumors |
title_full | Diagnostic accuracy of SSR-PET/CT compared to histopathology in the identification of liver metastases from well-differentiated neuroendocrine tumors |
title_fullStr | Diagnostic accuracy of SSR-PET/CT compared to histopathology in the identification of liver metastases from well-differentiated neuroendocrine tumors |
title_full_unstemmed | Diagnostic accuracy of SSR-PET/CT compared to histopathology in the identification of liver metastases from well-differentiated neuroendocrine tumors |
title_short | Diagnostic accuracy of SSR-PET/CT compared to histopathology in the identification of liver metastases from well-differentiated neuroendocrine tumors |
title_sort | diagnostic accuracy of ssr-pet/ct compared to histopathology in the identification of liver metastases from well-differentiated neuroendocrine tumors |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10537814/ https://www.ncbi.nlm.nih.gov/pubmed/37770958 http://dx.doi.org/10.1186/s40644-023-00614-2 |
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