Risk Stratification with Sarculator and MSKCC in Patients with Primary and Secondary Angiosarcoma
Author:
Steubing Yonca1, Ahmadi Nilofar1, Puscz Flemming1, Wolff Alexander1, Hinzmann Jannik1, Reinkemeier Felix1, Schmidt Sonja Verena1, Sogorski Alexander1, Von Glinski Maxi1, Becerikli Mustafa1ORCID, Füth Maria1ORCID, Zuchowski Jessica1, Brüggenhorst Hannah1, Huyghebaert Tom1, Stricker Ingo2, Lehnhardt Marcus1, Wallner Christoph1
Affiliation:
1. Department of Plastic Surgery, Hand Surgery, Burn Center, and Sarcoma Center, BG University Hospital Bergmannsheil Bochum, 44789 Bochum, Germany 2. Institute of Pathology, Ruhr-University Bochum, 44801 Bochum, Germany
Abstract
Background: Sarculator and Memorial Sloan Kettering Cancer Center (MSKCC) nomograms are freely available risk prediction scores for surgically treated patients with primary sarcomas. Due to the rarity of angiosarcomas, these scores have only been tested on small cohorts of angiosarcoma patients. In neither the original patient cohort upon which the Sarculator is based nor in subsequent studies was a distinction made between primary and secondary angiosarcomas, as the app is intended to be applied to primary sarcomas. Therefore, the objective of our investigation was to assess whether the Sarculator reveals a difference in prognosis and whether such differentiation aligns with actual clinical data. Patients and Methods: Thirty-one patients with primary or secondary soft tissue angiosarcoma, treated at our Sarcoma Center from 2001 to 2023, were included in the study. Actual survival rates were compared with nomogram-derived data for predicted 5-year survival (Sarculator), as well as 4-, 8- and 12-year sarcoma-specific death probabilities (MSKCC). Harrell’s c-index was utilized to assess predictive validity. Results: In total, 31 patients were analyzed. The actual overall 5-year survival was 22.57% with a predicted 5-year survival rate of 25.97%, and the concordance index was 0.726 for the entire cohort. The concordance index results from MSKCC for angiosarcoma patients were below 0.7 indicating limited predictive accuracy in this cohort, particularly when compared to Sarculator. Summary: Nomogram-based predictive models are valuable tools in clinical practice for rapidly assessing prognosis. They can streamline the decision-making process for adjuvant treatments and improve patient counselling especially in the treatment of rare and complicated tumor entities such as angiosarcomas.
Funder
Ruhr University Bochum
Reference26 articles.
1. Callegaro, D., Miceli, R., Barretta, F., Gronchi, A., and Vergani, R. (2024, February 24). Sarculator (2.2.1) (Mobile App). Available online: https://play.google.com/store/apps/details?id=it.digitalforest.sarculator&pcampaignid=web_share. 2. Development and external validation of two nomograms to predict overall survival and occurrence of distant metastases in adults after surgical resection of localised soft-tissue sarcomas of the extremities: A retrospective analysis;Callegaro;Lancet Oncol.,2016 3. Sarculator is a Good Model to Predict Survival in Resected Extremity and Trunk Sarcomas in US Patients;Voss;Ann. Surg. Oncol.,2022 4. Applicability of the Sarculator and MSKCC nomograms to retroperitoneal sarcoma prognostication in an Asian tertiary center;Wong;Asian J. Surg.,2020 5. Postoperative nomogram for 12-year sarcoma-specific death;Kattan;J. Clin. Oncol.,2002
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