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A web-based prognostic tool for extremity and trunk wall soft tissue sarcomas and its external validation

BACKGROUND: We developed a web-based, prognostic tool for extremity and trunk wall soft tissue sarcoma to predict 10-year sarcoma-specific survival. External validation was performed. METHODS: Patients referred during 1987–2002 to Helsinki University Central Hospital are included. External validatio...

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Autores principales: Sampo, M, Tarkkanen, M, Tukiainen, E, Popov, P, Gustafson, P, Lundin, M, Böhling, T, Blomqvist, C, Lundin, J
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3304417/
https://www.ncbi.nlm.nih.gov/pubmed/22353813
http://dx.doi.org/10.1038/bjc.2012.48
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author Sampo, M
Tarkkanen, M
Tukiainen, E
Popov, P
Gustafson, P
Lundin, M
Böhling, T
Blomqvist, C
Lundin, J
author_facet Sampo, M
Tarkkanen, M
Tukiainen, E
Popov, P
Gustafson, P
Lundin, M
Böhling, T
Blomqvist, C
Lundin, J
author_sort Sampo, M
collection PubMed
description BACKGROUND: We developed a web-based, prognostic tool for extremity and trunk wall soft tissue sarcoma to predict 10-year sarcoma-specific survival. External validation was performed. METHODS: Patients referred during 1987–2002 to Helsinki University Central Hospital are included. External validation was obtained from the Lund University Hospital register. Cox proportional hazards models were fitted with the Helsinki data. The previously described model (SIN) includes size, necrosis, and vascular invasion. The extended model (SAM) includes the SIN factors and in addition depth, location, grade, and size on a continuous scale. Models were statistically compared according to accuracy (area under the ROC curve=AUC) of 10-year sarcoma-specific survival prediction. RESULTS: The AUC of the SAM model in10-year survival prediction in the Helsinki patient series was 0.81 as compared with 0.74 for the SIN model (P=0.0007). The corresponding AUCs in the external validation series were 0.77 for the SAM model and 0.73 for the SIN model (P=0.03). A web-based calculator for the SAM model is available at http://www.prognomics.org/sam. CONCLUSION: Addition of grade, depth, and location as well as tumour size on a continuous scale significantly improved the accuracy of the prognostic model when compared with a model that includes only size, necrosis, and vascular invasion.
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spelling pubmed-33044172013-03-13 A web-based prognostic tool for extremity and trunk wall soft tissue sarcomas and its external validation Sampo, M Tarkkanen, M Tukiainen, E Popov, P Gustafson, P Lundin, M Böhling, T Blomqvist, C Lundin, J Br J Cancer Clinical Study BACKGROUND: We developed a web-based, prognostic tool for extremity and trunk wall soft tissue sarcoma to predict 10-year sarcoma-specific survival. External validation was performed. METHODS: Patients referred during 1987–2002 to Helsinki University Central Hospital are included. External validation was obtained from the Lund University Hospital register. Cox proportional hazards models were fitted with the Helsinki data. The previously described model (SIN) includes size, necrosis, and vascular invasion. The extended model (SAM) includes the SIN factors and in addition depth, location, grade, and size on a continuous scale. Models were statistically compared according to accuracy (area under the ROC curve=AUC) of 10-year sarcoma-specific survival prediction. RESULTS: The AUC of the SAM model in10-year survival prediction in the Helsinki patient series was 0.81 as compared with 0.74 for the SIN model (P=0.0007). The corresponding AUCs in the external validation series were 0.77 for the SAM model and 0.73 for the SIN model (P=0.03). A web-based calculator for the SAM model is available at http://www.prognomics.org/sam. CONCLUSION: Addition of grade, depth, and location as well as tumour size on a continuous scale significantly improved the accuracy of the prognostic model when compared with a model that includes only size, necrosis, and vascular invasion. Nature Publishing Group 2012-03-13 2012-02-21 /pmc/articles/PMC3304417/ /pubmed/22353813 http://dx.doi.org/10.1038/bjc.2012.48 Text en Copyright © 2012 Cancer Research UK https://creativecommons.org/licenses/by/4.0/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 license, and indicate if changes were made.The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material.If material is not included in the article’s Creative Commons license 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 license, visit https://creativecommons.org/licenses/by/4.0/.
spellingShingle Clinical Study
Sampo, M
Tarkkanen, M
Tukiainen, E
Popov, P
Gustafson, P
Lundin, M
Böhling, T
Blomqvist, C
Lundin, J
A web-based prognostic tool for extremity and trunk wall soft tissue sarcomas and its external validation
title A web-based prognostic tool for extremity and trunk wall soft tissue sarcomas and its external validation
title_full A web-based prognostic tool for extremity and trunk wall soft tissue sarcomas and its external validation
title_fullStr A web-based prognostic tool for extremity and trunk wall soft tissue sarcomas and its external validation
title_full_unstemmed A web-based prognostic tool for extremity and trunk wall soft tissue sarcomas and its external validation
title_short A web-based prognostic tool for extremity and trunk wall soft tissue sarcomas and its external validation
title_sort web-based prognostic tool for extremity and trunk wall soft tissue sarcomas and its external validation
topic Clinical Study
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3304417/
https://www.ncbi.nlm.nih.gov/pubmed/22353813
http://dx.doi.org/10.1038/bjc.2012.48
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