Development of a Nomogram to Predict the Outcome for Patients with Soft Tissue Sarcoma.

dc.citation.issue4
dc.citation.volume10
dc.contributor.authorBray JP
dc.contributor.authorMunday JS
dc.contributor.editorDobson J
dc.contributor.editorHayes A
dc.contributor.editorHughes K
dc.coverage.spatialSwitzerland
dc.date.accessioned2024-08-15T22:24:49Z
dc.date.available2024-08-15T22:24:49Z
dc.date.issued2023-03-29
dc.description.abstractSoft 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.confidentialfalse
dc.edition.editionApril 2023
dc.format.pagination266-
dc.identifier.author-urlhttps://www.ncbi.nlm.nih.gov/pubmed/37104421
dc.identifier.citationBray 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.doi10.3390/vetsci10040266
dc.identifier.eissn2306-7381
dc.identifier.elements-typejournal-article
dc.identifier.issn2306-7381
dc.identifier.number266
dc.identifier.piivetsci10040266
dc.identifier.urihttps://mro.massey.ac.nz/handle/10179/71321
dc.languageeng
dc.publisherMDPI (Basel, Switzerland)
dc.publisher.urihttps://www.mdpi.com/2306-7381/10/4/266
dc.relation.isPartOfVet Sci
dc.rights(c) 2023 The Author/s
dc.rightsCC BY 4.0
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectimmunohistochemistry
dc.subjectnomogram
dc.subjectprognosis
dc.subjectsoft tissue sarcoma
dc.titleDevelopment of a Nomogram to Predict the Outcome for Patients with Soft Tissue Sarcoma.
dc.typeJournal article
pubs.elements-id461138
pubs.organisational-groupCollege of Health
Files
Original bundle
Now showing 1 - 5 of 5
Loading...
Thumbnail Image
Name:
Published version.pdf
Size:
1.39 MB
Format:
Adobe Portable Document Format
Description:
461138 PDF.pdf
Loading...
Thumbnail Image
Name:
Evidence 1.xlsx
Size:
14.91 KB
Format:
Microsoft Excel
Description:
File S1. Clinical_train.xlsx
Loading...
Thumbnail Image
Name:
Evidence 2.xlsx
Size:
13.25 KB
Format:
Microsoft Excel
Description:
File S2. Clinical_valid.xlsx
Loading...
Thumbnail Image
Name:
Evidence 3.xlsx
Size:
14.83 KB
Format:
Microsoft Excel
Description:
File S3. IHC_test.xlsx
Loading...
Thumbnail Image
Name:
Evidence.pdf
Size:
260.88 KB
Format:
Adobe Portable Document Format
Description:
Supplementary Materiak.pdf
License bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
license.txt
Size:
9.22 KB
Format:
Plain Text
Description:
Collections