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

H S Femke Hagenmaier; Annelies G K van Beeck; Rick L Haas; Veroniek M van Praag; Leti van Bodegom-Vos; Jos A van der Hage; Stijn Krol; Frank M Speetjens; Arjen H G Cleven; Ana Navas; Herman M Kroon; Rieneke G Moeri-Schimmel; Nicolette A C Leyerzapf; Michiel A J van de Sande

doi:10.1155/2021/8851354

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

Sarcoma. 2021 Oct 21:2021:8851354. doi: 10.1155/2021/8851354. eCollection 2021.

Authors

H S Femke Hagenmaier¹, Annelies G K van Beeck^{2

3}, Rick L Haas^{4

5}, Veroniek M van Praag², Leti van Bodegom-Vos⁶, Jos A van der Hage⁷, Stijn Krol⁴, Frank M Speetjens⁸, Arjen H G Cleven⁹, Ana Navas¹⁰, Herman M Kroon¹⁰, Rieneke G Moeri-Schimmel⁴, Nicolette A C Leyerzapf², Michiel A J van de Sande²

Affiliations

¹ Department of Orthopaedic Surgery, Sint Maartenskliniek, Hengstdal 3, 6574 NA Ubbergen, Netherlands.
² Department of Orthopaedic Surgery, Leiden University Medical Centre, Albinusdreef 2, 2333 ZA Leiden, Netherlands.
³ Department of Orthopaedic Surgery and Traumatology, University Hospital Antwerp, Wilrijkstraat 10, 2650 Edegem, Belgium.
⁴ Department of Radiotherapy, Leiden University Medical Centre, Albinusdreef 2, 2333 ZA Leiden, Netherlands.
⁵ Department of Radiotherapy, The Netherlands Cancer Institute, Plesmanlaan 121, 1066 CX Amsterdam, Netherlands.
⁶ Department of Biomedical Data Sciences, Leiden University Medical Centre, Albinusdreef 2, 2333 ZA Leiden, Netherlands.
⁷ Department of Surgery, Leiden University Medical Centre, Albinusdreef 2, 2333 ZA Leiden, Netherlands.
⁸ Department of Clinical Oncology, Leiden University Medical Centre, Albinusdreef 2, 2333 ZA Leiden, Netherlands.
⁹ Department of Pathology, Leiden University Medical Centre, Albinusdreef 2, 2333 ZA Leiden, Netherlands.
¹⁰ Department of Radiology, Leiden University Medical Centre, Albinusdreef 2, 2333 ZA Leiden, Netherlands.

Abstract

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.