Development of a Nomogram to Predict the Outcome for Patients with Soft Tissue Sarcoma.
dc.citation.issue | 4 | |
dc.citation.volume | 10 | |
dc.contributor.author | Bray JP | |
dc.contributor.author | Munday JS | |
dc.contributor.editor | Dobson J | |
dc.contributor.editor | Hayes A | |
dc.contributor.editor | Hughes K | |
dc.coverage.spatial | Switzerland | |
dc.date.accessioned | 2024-08-15T22:24:49Z | |
dc.date.available | 2024-08-15T22:24:49Z | |
dc.date.issued | 2023-03-29 | |
dc.description.abstract | Soft tissue sarcomas (STSs) are common cutaneous or subcutaneous neoplasms in dogs. Most STSs are initially treated by surgical excision, and local recurrence may develop in almost 20% of patients. Currently, it is difficult to predict which STS will recur after excision, but this ability would greatly assist patient management. In recent years, the nomogram has emerged as a tool to allow oncologists to predict an outcome from a combination of risk factors. The aim of this study was to develop a nomogram for canine STSs and determine if the nomogram could predict patient outcomes better than individual tumour characteristics. The current study provides the first evidence in veterinary oncology to support a role for the nomogram to assist with predicting the outcome for patients after surgery for STSs. The nomogram developed in this study accurately predicted tumour-free survival in 25 patients but failed to predict recurrence in 1 patient. Overall, the sensitivity, specificity, positive predictive, and negative predictive values for the nomogram were 96%, 45%, 45%, and 96%, respectively (area under the curve: AUC = 0.84). This study suggests a nomogram could play an important role in helping to identify patients who could benefit from revision surgery or adjuvant therapy for an STS. | |
dc.description.confidential | false | |
dc.edition.edition | April 2023 | |
dc.format.pagination | 266- | |
dc.identifier.author-url | https://www.ncbi.nlm.nih.gov/pubmed/37104421 | |
dc.identifier.citation | Bray JP, Munday JS. (2023). Development of a Nomogram to Predict the Outcome for Patients with Soft Tissue Sarcoma.. Vet Sci. 10. 4. (pp. 266-). | |
dc.identifier.doi | 10.3390/vetsci10040266 | |
dc.identifier.eissn | 2306-7381 | |
dc.identifier.elements-type | journal-article | |
dc.identifier.issn | 2306-7381 | |
dc.identifier.number | 266 | |
dc.identifier.pii | vetsci10040266 | |
dc.identifier.uri | https://mro.massey.ac.nz/handle/10179/71321 | |
dc.language | eng | |
dc.publisher | MDPI (Basel, Switzerland) | |
dc.publisher.uri | https://www.mdpi.com/2306-7381/10/4/266 | |
dc.relation.isPartOf | Vet Sci | |
dc.rights | (c) 2023 The Author/s | |
dc.rights | CC BY 4.0 | |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | |
dc.subject | immunohistochemistry | |
dc.subject | nomogram | |
dc.subject | prognosis | |
dc.subject | soft tissue sarcoma | |
dc.title | Development of a Nomogram to Predict the Outcome for Patients with Soft Tissue Sarcoma. | |
dc.type | Journal article | |
pubs.elements-id | 461138 | |
pubs.organisational-group | College of Health |
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