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The Influence of Personalised Sarcoma Care (PERSARC) Prediction Modelling on Clinical Decision Making in a Multidisciplinary Setting

BACKGROUND: With soft-tissue sarcoma of the extremity (ESTS) representing a heterogenous group of tumors, management decisions are often made in multidisciplinary team (MDT) meetings. To optimize outcome, nomograms are more commonly used to guide individualized treatment decision making. PURPOSE: To...

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Autores principales: Hagenmaier, H. S. Femke, van Beeck, Annelies G. K., Haas, Rick L., van Praag, Veroniek M., van Bodegom-Vos, Leti, van der Hage, Jos A., Krol, Stijn, Speetjens, Frank M., Cleven, Arjen H. G., Navas, Ana, Kroon, Herman M., Moeri-Schimmel, Rieneke G., Leyerzapf, Nicolette A. C., van de Sande, Michiel A. J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8553471/
https://www.ncbi.nlm.nih.gov/pubmed/34720664
http://dx.doi.org/10.1155/2021/8851354
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author Hagenmaier, H. S. Femke
van Beeck, Annelies G. K.
Haas, Rick L.
van Praag, Veroniek M.
van Bodegom-Vos, Leti
van der Hage, Jos A.
Krol, Stijn
Speetjens, Frank M.
Cleven, Arjen H. G.
Navas, Ana
Kroon, Herman M.
Moeri-Schimmel, Rieneke G.
Leyerzapf, Nicolette A. C.
van de Sande, Michiel A. J.
author_facet Hagenmaier, H. S. Femke
van Beeck, Annelies G. K.
Haas, Rick L.
van Praag, Veroniek M.
van Bodegom-Vos, Leti
van der Hage, Jos A.
Krol, Stijn
Speetjens, Frank M.
Cleven, Arjen H. G.
Navas, Ana
Kroon, Herman M.
Moeri-Schimmel, Rieneke G.
Leyerzapf, Nicolette A. C.
van de Sande, Michiel A. J.
author_sort Hagenmaier, H. S. Femke
collection PubMed
description BACKGROUND: With soft-tissue sarcoma of the extremity (ESTS) representing a heterogenous group of tumors, management decisions are often made in multidisciplinary team (MDT) meetings. To optimize outcome, nomograms are more commonly used to guide individualized treatment decision making. PURPOSE: To evaluate the influence of Personalised Sarcoma Care (PERSARC) on treatment decisions for patients with high-grade ESTS and the ability of the MDT to accurately predict overall survival (OS) and local recurrence (LR) rates. METHODS: Two consecutive meetings were organised. During the first meeting, 36 cases were presented to the MDT. OS and LR rates without the use of PERSARC were estimated by consensus and preferred treatment was recorded for each case. During the second meeting, OS/LR rates calculated with PERSARC were presented to the MDT. Differences between estimated OS/LR rates and PERSARC OS/LR rates were calculated. Variations in preferred treatment protocols were noted. RESULTS: The MDT underestimated OS when compared to PERSARC in 48.4% of cases. LR rates were overestimated in 41.9% of cases. With the use of PERSARC, the proposed treatment changed for 24 cases. CONCLUSION: PERSARC aids the MDT to optimize individualized predicted OS and LR rates, hereby guiding patient-centered care and shared decision making.
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spelling pubmed-85534712021-10-29 The Influence of Personalised Sarcoma Care (PERSARC) Prediction Modelling on Clinical Decision Making in a Multidisciplinary Setting Hagenmaier, H. S. Femke van Beeck, Annelies G. K. Haas, Rick L. van Praag, Veroniek M. van Bodegom-Vos, Leti van der Hage, Jos A. Krol, Stijn Speetjens, Frank M. Cleven, Arjen H. G. Navas, Ana Kroon, Herman M. Moeri-Schimmel, Rieneke G. Leyerzapf, Nicolette A. C. van de Sande, Michiel A. J. Sarcoma Research Article BACKGROUND: With soft-tissue sarcoma of the extremity (ESTS) representing a heterogenous group of tumors, management decisions are often made in multidisciplinary team (MDT) meetings. To optimize outcome, nomograms are more commonly used to guide individualized treatment decision making. PURPOSE: To evaluate the influence of Personalised Sarcoma Care (PERSARC) on treatment decisions for patients with high-grade ESTS and the ability of the MDT to accurately predict overall survival (OS) and local recurrence (LR) rates. METHODS: Two consecutive meetings were organised. During the first meeting, 36 cases were presented to the MDT. OS and LR rates without the use of PERSARC were estimated by consensus and preferred treatment was recorded for each case. During the second meeting, OS/LR rates calculated with PERSARC were presented to the MDT. Differences between estimated OS/LR rates and PERSARC OS/LR rates were calculated. Variations in preferred treatment protocols were noted. RESULTS: The MDT underestimated OS when compared to PERSARC in 48.4% of cases. LR rates were overestimated in 41.9% of cases. With the use of PERSARC, the proposed treatment changed for 24 cases. CONCLUSION: PERSARC aids the MDT to optimize individualized predicted OS and LR rates, hereby guiding patient-centered care and shared decision making. Hindawi 2021-10-21 /pmc/articles/PMC8553471/ /pubmed/34720664 http://dx.doi.org/10.1155/2021/8851354 Text en Copyright © 2021 H. S. Femke Hagenmaier et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Hagenmaier, H. S. Femke
van Beeck, Annelies G. K.
Haas, Rick L.
van Praag, Veroniek M.
van Bodegom-Vos, Leti
van der Hage, Jos A.
Krol, Stijn
Speetjens, Frank M.
Cleven, Arjen H. G.
Navas, Ana
Kroon, Herman M.
Moeri-Schimmel, Rieneke G.
Leyerzapf, Nicolette A. C.
van de Sande, Michiel A. J.
The Influence of Personalised Sarcoma Care (PERSARC) Prediction Modelling on Clinical Decision Making in a Multidisciplinary Setting
title The Influence of Personalised Sarcoma Care (PERSARC) Prediction Modelling on Clinical Decision Making in a Multidisciplinary Setting
title_full The Influence of Personalised Sarcoma Care (PERSARC) Prediction Modelling on Clinical Decision Making in a Multidisciplinary Setting
title_fullStr The Influence of Personalised Sarcoma Care (PERSARC) Prediction Modelling on Clinical Decision Making in a Multidisciplinary Setting
title_full_unstemmed The Influence of Personalised Sarcoma Care (PERSARC) Prediction Modelling on Clinical Decision Making in a Multidisciplinary Setting
title_short The Influence of Personalised Sarcoma Care (PERSARC) Prediction Modelling on Clinical Decision Making in a Multidisciplinary Setting
title_sort influence of personalised sarcoma care (persarc) prediction modelling on clinical decision making in a multidisciplinary setting
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8553471/
https://www.ncbi.nlm.nih.gov/pubmed/34720664
http://dx.doi.org/10.1155/2021/8851354
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