Evaluation of the Predictive Potential of 18F-FDG PET and DWI Data Sets for Relevant Prognostic Parameters of Primary Soft-Tissue Sarcomas
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 so...
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MDPI AG
2021-06-01
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| Series: | Cancers |
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| Online Access: | https://www.mdpi.com/2072-6694/13/11/2753 |
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| author | Michal Chodyla Aydin Demircioglu Benedikt M. Schaarschmidt Stefanie Bertram Janna Morawitz Sebastian Bauer Lars Podleska Christoph Rischpler Michael Forsting Ken Herrmann Lale Umutlu Johannes Grueneisen |
| author_facet | Michal Chodyla Aydin Demircioglu Benedikt M. Schaarschmidt Stefanie Bertram Janna Morawitz Sebastian Bauer Lars Podleska Christoph Rischpler Michael Forsting Ken Herrmann Lale Umutlu Johannes Grueneisen |
| author_sort | Michal Chodyla |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-10T10:47:41Z |
| format | Article |
| id | doaj.art-41500566ddd4445da19eed44b3079cf4 |
| institution | Directory Open Access Journal |
| issn | 2072-6694 |
| language | English |
| last_indexed | 2024-03-10T10:47:41Z |
| publishDate | 2021-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Cancers |
| spelling | doaj.art-41500566ddd4445da19eed44b3079cf42023-11-21T22:28:29ZengMDPI AGCancers2072-66942021-06-011311275310.3390/cancers13112753Evaluation of the Predictive Potential of 18F-FDG PET and DWI Data Sets for Relevant Prognostic Parameters of Primary Soft-Tissue SarcomasMichal Chodyla0Aydin Demircioglu1Benedikt M. Schaarschmidt2Stefanie Bertram3Janna Morawitz4Sebastian Bauer5Lars Podleska6Christoph Rischpler7Michael Forsting8Ken Herrmann9Lale Umutlu10Johannes Grueneisen11Department of Diagnostic and Interventional Radiology, University Hospital Essen, University of Duisburg-Essen, 45147 Essen, GermanyDepartment of Diagnostic and Interventional Radiology, University Hospital Essen, University of Duisburg-Essen, 45147 Essen, GermanyDepartment of Diagnostic and Interventional Radiology, University Hospital Essen, University of Duisburg-Essen, 45147 Essen, GermanyInstitute of Pathology, University Hospital Essen, University of Duisburg-Essen, 45147 Essen, GermanyDepartment of Diagnostic and Interventional Radiology, University Hospital Dusseldorf, University of Dusseldorf, 40225 Dusseldorf, GermanySarcoma Center, Western German Cancer Center, University of Duisburg-Essen, 45147 Essen, GermanySarcoma Surgery Division, Department of General, Visceral and Transplantation Surgery, University Hospital Essen, University of Duisburg-Essen, 45147 Essen, GermanyDepartment of Nuclear Medicine, University Hospital Essen, University of Duisburg-Essen, 45147 Essen, GermanyDepartment of Diagnostic and Interventional Radiology, University Hospital Essen, University of Duisburg-Essen, 45147 Essen, GermanyDepartment of Nuclear Medicine, University Hospital Essen, University of Duisburg-Essen, 45147 Essen, GermanyDepartment of Diagnostic and Interventional Radiology, University Hospital Essen, University of Duisburg-Essen, 45147 Essen, GermanyDepartment of Diagnostic and Interventional Radiology, University Hospital Essen, University of Duisburg-Essen, 45147 Essen, GermanyBackground: 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.https://www.mdpi.com/2072-6694/13/11/2753soft-tissue sarcoma18F-FDG PETMRIisolated limb perfusion |
| spellingShingle | Michal Chodyla Aydin Demircioglu Benedikt M. Schaarschmidt Stefanie Bertram Janna Morawitz Sebastian Bauer Lars Podleska Christoph Rischpler Michael Forsting Ken Herrmann Lale Umutlu Johannes Grueneisen Evaluation of the Predictive Potential of 18F-FDG PET and DWI Data Sets for Relevant Prognostic Parameters of Primary Soft-Tissue Sarcomas Cancers soft-tissue sarcoma 18F-FDG PET MRI isolated limb perfusion |
| 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 | soft-tissue sarcoma 18F-FDG PET MRI isolated limb perfusion |
| url | https://www.mdpi.com/2072-6694/13/11/2753 |
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