Cargando…
Evaluation of the Predictive Potential of 18F-FDG PET and DWI Data Sets for Relevant Prognostic Parameters of Primary Soft-Tissue Sarcomas
SIMPLE SUMMARY: In this study, we assessed the potential of simultaneously acquired 18F-fluorodeoxyglucose positron emission tomography (18F-FDG PET) and magnetic resonance imaging-derived quantitative imaging parameters to predict the tumor grade, metastatic status, and response to neoadjuvant ther...
Autores principales: | , , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8199532/ https://www.ncbi.nlm.nih.gov/pubmed/34206128 http://dx.doi.org/10.3390/cancers13112753 |
_version_ | 1783707398808010752 |
---|---|
author | Chodyla, Michal Demircioglu, Aydin Schaarschmidt, Benedikt M. Bertram, Stefanie Morawitz, Janna Bauer, Sebastian Podleska, Lars Rischpler, Christoph Forsting, Michael Herrmann, Ken Umutlu, Lale Grueneisen, Johannes |
author_facet | Chodyla, Michal Demircioglu, Aydin Schaarschmidt, Benedikt M. Bertram, Stefanie Morawitz, Janna Bauer, Sebastian Podleska, Lars Rischpler, Christoph Forsting, Michael Herrmann, Ken Umutlu, Lale Grueneisen, Johannes |
author_sort | Chodyla, Michal |
collection | PubMed |
description | SIMPLE SUMMARY: In this study, we assessed the potential of simultaneously acquired 18F-fluorodeoxyglucose positron emission tomography (18F-FDG PET) and magnetic resonance imaging-derived quantitative imaging parameters to predict the tumor grade, metastatic status, and response to neoadjuvant therapy of primary soft-tissue sarcomas of the extremities. Based on the results of the present study, quantifications of the 18F-FDG PET uptake provide useful prognostic data for the evaluation of histopathological response to neoadjuvant treatment as well as the aggressiveness of high-risk sarcomas, whereas no correlation between the different outcome variables and the results for tumor size and diffusion-weighted imaging-derived apparent diffusion coefficient values was found. Accordingly, measurements of the metabolic activity of primary and untreated soft-tissue sarcomas could non-invasively deliver relevant information, that may be used for treatment planning and risk-stratification of sarcoma patients in a pretherapeutic setting. ABSTRACT: Background: To evaluate the potential of simultaneously acquired 18F-FDG PET- and MR-derived quantitative imaging data sets of primary soft-tissue sarcomas for the prediction of neoadjuvant treatment response, the metastatic status and tumor grade. Methods: A total of 52 patients with a high-risk soft-tissue sarcoma underwent a 18F-FDG PET/MR examination within one week before the start of neoadjuvant treatment. For each patient, the maximum tumor size, metabolic activity (SUVs), and diffusion-restriction (ADC values) of the tumor manifestations were determined. A Mann–Whitney-U test was used, and ROC analysis was performed to evaluate the potential to predict histopathological treatment response, the metastatic status or tumor grade. The results from the histopathological analysis served as reference standard. Results: Soft-tissue sarcomas with a histopathological treatment response revealed a significantly higher metabolic activity than tumors in the non-responder group. In addition, grade 3 tumors showed a significant higher 18F-FDG uptake than grade 2 tumors. Furthermore, no significant correlation between the different outcome variables and tumor size or calculated ADC-values could be identified. Conclusion: Measurements of the metabolic activity of primary and untreated soft-tissue sarcomas could non-invasively deliver relevant information that may be used for treatment planning and risk-stratification of high-risk sarcoma patients in a pretherapeutic setting. |
format | Online Article Text |
id | pubmed-8199532 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-81995322021-06-14 Evaluation of the Predictive Potential of 18F-FDG PET and DWI Data Sets for Relevant Prognostic Parameters of Primary Soft-Tissue Sarcomas Chodyla, Michal Demircioglu, Aydin Schaarschmidt, Benedikt M. Bertram, Stefanie Morawitz, Janna Bauer, Sebastian Podleska, Lars Rischpler, Christoph Forsting, Michael Herrmann, Ken Umutlu, Lale Grueneisen, Johannes Cancers (Basel) Article SIMPLE SUMMARY: In this study, we assessed the potential of simultaneously acquired 18F-fluorodeoxyglucose positron emission tomography (18F-FDG PET) and magnetic resonance imaging-derived quantitative imaging parameters to predict the tumor grade, metastatic status, and response to neoadjuvant therapy of primary soft-tissue sarcomas of the extremities. Based on the results of the present study, quantifications of the 18F-FDG PET uptake provide useful prognostic data for the evaluation of histopathological response to neoadjuvant treatment as well as the aggressiveness of high-risk sarcomas, whereas no correlation between the different outcome variables and the results for tumor size and diffusion-weighted imaging-derived apparent diffusion coefficient values was found. Accordingly, measurements of the metabolic activity of primary and untreated soft-tissue sarcomas could non-invasively deliver relevant information, that may be used for treatment planning and risk-stratification of sarcoma patients in a pretherapeutic setting. ABSTRACT: Background: To evaluate the potential of simultaneously acquired 18F-FDG PET- and MR-derived quantitative imaging data sets of primary soft-tissue sarcomas for the prediction of neoadjuvant treatment response, the metastatic status and tumor grade. Methods: A total of 52 patients with a high-risk soft-tissue sarcoma underwent a 18F-FDG PET/MR examination within one week before the start of neoadjuvant treatment. For each patient, the maximum tumor size, metabolic activity (SUVs), and diffusion-restriction (ADC values) of the tumor manifestations were determined. A Mann–Whitney-U test was used, and ROC analysis was performed to evaluate the potential to predict histopathological treatment response, the metastatic status or tumor grade. The results from the histopathological analysis served as reference standard. Results: Soft-tissue sarcomas with a histopathological treatment response revealed a significantly higher metabolic activity than tumors in the non-responder group. In addition, grade 3 tumors showed a significant higher 18F-FDG uptake than grade 2 tumors. Furthermore, no significant correlation between the different outcome variables and tumor size or calculated ADC-values could be identified. Conclusion: Measurements of the metabolic activity of primary and untreated soft-tissue sarcomas could non-invasively deliver relevant information that may be used for treatment planning and risk-stratification of high-risk sarcoma patients in a pretherapeutic setting. MDPI 2021-06-01 /pmc/articles/PMC8199532/ /pubmed/34206128 http://dx.doi.org/10.3390/cancers13112753 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Chodyla, Michal Demircioglu, Aydin Schaarschmidt, Benedikt M. Bertram, Stefanie Morawitz, Janna Bauer, Sebastian Podleska, Lars Rischpler, Christoph Forsting, Michael Herrmann, Ken Umutlu, Lale Grueneisen, Johannes Evaluation of the Predictive Potential of 18F-FDG PET and DWI Data Sets for Relevant Prognostic Parameters of Primary Soft-Tissue Sarcomas |
title | Evaluation of the Predictive Potential of 18F-FDG PET and DWI Data Sets for Relevant Prognostic Parameters of Primary Soft-Tissue Sarcomas |
title_full | Evaluation of the Predictive Potential of 18F-FDG PET and DWI Data Sets for Relevant Prognostic Parameters of Primary Soft-Tissue Sarcomas |
title_fullStr | Evaluation of the Predictive Potential of 18F-FDG PET and DWI Data Sets for Relevant Prognostic Parameters of Primary Soft-Tissue Sarcomas |
title_full_unstemmed | Evaluation of the Predictive Potential of 18F-FDG PET and DWI Data Sets for Relevant Prognostic Parameters of Primary Soft-Tissue Sarcomas |
title_short | Evaluation of the Predictive Potential of 18F-FDG PET and DWI Data Sets for Relevant Prognostic Parameters of Primary Soft-Tissue Sarcomas |
title_sort | evaluation of the predictive potential of 18f-fdg pet and dwi data sets for relevant prognostic parameters of primary soft-tissue sarcomas |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8199532/ https://www.ncbi.nlm.nih.gov/pubmed/34206128 http://dx.doi.org/10.3390/cancers13112753 |
work_keys_str_mv | AT chodylamichal evaluationofthepredictivepotentialof18ffdgpetanddwidatasetsforrelevantprognosticparametersofprimarysofttissuesarcomas AT demirciogluaydin evaluationofthepredictivepotentialof18ffdgpetanddwidatasetsforrelevantprognosticparametersofprimarysofttissuesarcomas AT schaarschmidtbenediktm evaluationofthepredictivepotentialof18ffdgpetanddwidatasetsforrelevantprognosticparametersofprimarysofttissuesarcomas AT bertramstefanie evaluationofthepredictivepotentialof18ffdgpetanddwidatasetsforrelevantprognosticparametersofprimarysofttissuesarcomas AT morawitzjanna evaluationofthepredictivepotentialof18ffdgpetanddwidatasetsforrelevantprognosticparametersofprimarysofttissuesarcomas AT bauersebastian evaluationofthepredictivepotentialof18ffdgpetanddwidatasetsforrelevantprognosticparametersofprimarysofttissuesarcomas AT podleskalars evaluationofthepredictivepotentialof18ffdgpetanddwidatasetsforrelevantprognosticparametersofprimarysofttissuesarcomas AT rischplerchristoph evaluationofthepredictivepotentialof18ffdgpetanddwidatasetsforrelevantprognosticparametersofprimarysofttissuesarcomas AT forstingmichael evaluationofthepredictivepotentialof18ffdgpetanddwidatasetsforrelevantprognosticparametersofprimarysofttissuesarcomas AT herrmannken evaluationofthepredictivepotentialof18ffdgpetanddwidatasetsforrelevantprognosticparametersofprimarysofttissuesarcomas AT umutlulale evaluationofthepredictivepotentialof18ffdgpetanddwidatasetsforrelevantprognosticparametersofprimarysofttissuesarcomas AT grueneisenjohannes evaluationofthepredictivepotentialof18ffdgpetanddwidatasetsforrelevantprognosticparametersofprimarysofttissuesarcomas |