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Value of SUV(max) for the Prediction of Bone Invasion in Oral Squamous Cell Carcinoma
In advanced oral squamous cell carcinoma (OSCC), accurate planning of surgical resection and reconstruction are crucial for outcome and postoperative function. For OSCC close to the maxilla or mandible, prediction of bone invasion is necessary. The aim of this study was to examine whether metabolic...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7167854/ https://www.ncbi.nlm.nih.gov/pubmed/32024247 http://dx.doi.org/10.3390/biology9020023 |
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author | Stalder, Stephanie A. Schumann, Paul Lanzer, Martin Hüllner, Martin W. Rupp, Niels J. Broglie, Martina A. Morand, Grégoire B. |
author_facet | Stalder, Stephanie A. Schumann, Paul Lanzer, Martin Hüllner, Martin W. Rupp, Niels J. Broglie, Martina A. Morand, Grégoire B. |
author_sort | Stalder, Stephanie A. |
collection | PubMed |
description | In advanced oral squamous cell carcinoma (OSCC), accurate planning of surgical resection and reconstruction are crucial for outcome and postoperative function. For OSCC close to the maxilla or mandible, prediction of bone invasion is necessary. The aim of this study was to examine whether metabolic tumor imaging obtained by fluorodeoxyglucose positron emission tomography (FDG-PET) could enhance preoperative predictability of bone invasion. We performed an analysis of 84 treatment-naïve OSCCs arising from gum (upper and lower), hard palate, floor of mouth, and retromolar trigone treated at the University Hospital Zurich, Switzerland, who underwent wide local excision with free flap reconstruction between 04/2010 and 09/2018 and with available preoperative FDG-PET. Prediction of bone invasion by metabolic tumor imaging such as maximum standardized uptake value (SUV(max)) was examined. On definitive histopathology, bone invasion was present in 47 of 84 cases (56%). The probability of bone infiltration increased with a higher pretherapeutic SUV(max) in an almost linear manner. A pretherapeutic SUV(max) of primary tumor below 9.5 ruled out bone invasion preoperatively with a high specificity (97.6%). The risk of bone invasion was 53.6% and 71.4% for patients with SUV(max) between 9.5–14.5 and above 14.5, respectively. Patients with bone invasion had worse distant metastasis-free survival compared to patients without bone invasion (log-rank test, p = 0.032). In conclusion, metabolic tumor imaging using FDG-PET could be used to rule out bone invasion in oral cancer patients and may serve in treatment planning. |
format | Online Article Text |
id | pubmed-7167854 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-71678542020-04-21 Value of SUV(max) for the Prediction of Bone Invasion in Oral Squamous Cell Carcinoma Stalder, Stephanie A. Schumann, Paul Lanzer, Martin Hüllner, Martin W. Rupp, Niels J. Broglie, Martina A. Morand, Grégoire B. Biology (Basel) Article In advanced oral squamous cell carcinoma (OSCC), accurate planning of surgical resection and reconstruction are crucial for outcome and postoperative function. For OSCC close to the maxilla or mandible, prediction of bone invasion is necessary. The aim of this study was to examine whether metabolic tumor imaging obtained by fluorodeoxyglucose positron emission tomography (FDG-PET) could enhance preoperative predictability of bone invasion. We performed an analysis of 84 treatment-naïve OSCCs arising from gum (upper and lower), hard palate, floor of mouth, and retromolar trigone treated at the University Hospital Zurich, Switzerland, who underwent wide local excision with free flap reconstruction between 04/2010 and 09/2018 and with available preoperative FDG-PET. Prediction of bone invasion by metabolic tumor imaging such as maximum standardized uptake value (SUV(max)) was examined. On definitive histopathology, bone invasion was present in 47 of 84 cases (56%). The probability of bone infiltration increased with a higher pretherapeutic SUV(max) in an almost linear manner. A pretherapeutic SUV(max) of primary tumor below 9.5 ruled out bone invasion preoperatively with a high specificity (97.6%). The risk of bone invasion was 53.6% and 71.4% for patients with SUV(max) between 9.5–14.5 and above 14.5, respectively. Patients with bone invasion had worse distant metastasis-free survival compared to patients without bone invasion (log-rank test, p = 0.032). In conclusion, metabolic tumor imaging using FDG-PET could be used to rule out bone invasion in oral cancer patients and may serve in treatment planning. MDPI 2020-02-02 /pmc/articles/PMC7167854/ /pubmed/32024247 http://dx.doi.org/10.3390/biology9020023 Text en © 2020 by the authors. 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 (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Stalder, Stephanie A. Schumann, Paul Lanzer, Martin Hüllner, Martin W. Rupp, Niels J. Broglie, Martina A. Morand, Grégoire B. Value of SUV(max) for the Prediction of Bone Invasion in Oral Squamous Cell Carcinoma |
title | Value of SUV(max) for the Prediction of Bone Invasion in Oral Squamous Cell Carcinoma |
title_full | Value of SUV(max) for the Prediction of Bone Invasion in Oral Squamous Cell Carcinoma |
title_fullStr | Value of SUV(max) for the Prediction of Bone Invasion in Oral Squamous Cell Carcinoma |
title_full_unstemmed | Value of SUV(max) for the Prediction of Bone Invasion in Oral Squamous Cell Carcinoma |
title_short | Value of SUV(max) for the Prediction of Bone Invasion in Oral Squamous Cell Carcinoma |
title_sort | value of suv(max) for the prediction of bone invasion in oral squamous cell carcinoma |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7167854/ https://www.ncbi.nlm.nih.gov/pubmed/32024247 http://dx.doi.org/10.3390/biology9020023 |
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