CT radiomic features for canine primary lung tumors

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Persistent link to this item

https://doi.org/10.13020/mkez-rd57
https://hdl.handle.net/11299/221999

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Keywords

canine

lung tumor

CT

radiomic features

outcome

Collection period

2007-01-01
2018-11-30

Date completed

2019-10-01

Date updated

Time period coverage

Geographic coverage

Source information

Journal Title

Journal ISSN

Volume Title

Title

CT radiomic features for canine primary lung tumors

Published Date

2021-07-20

Authors

Wolf-Ringwall, Amber

Rendahl, Aaron

Seelig, Davis

Ober, Chris

Able, Hannah

Wilke, Chris

Lawrence, Jessica

Group

University of Minnesota Veterinary Oncology

Author Contact

Lawrence, Jessica
jlawrenc@umn.edu

Type

Dataset

Abstract

Quantitative analysis of computed tomography (CT) radiomic features is an indirect measure of tumor heterogeneity, which has been associated with prognosis in human lung carcinoma. Canine lung tumors share similar features to human lung tumors and may serve as a model in which to investigate the utility of radiomic features in differentiating tumor type and prognostication. The purpose of this study was to correlate first-order radiomic features from canine primary lung tumors to histopathologic characteristics and outcome. Sixty-seven tumors from 65 dogs were evaluated in this study.

Description

Datasets used for statistical analyses from the 65 dogs included in the study are available for review. Data include clinical data, CT review, histopathologic review, and first order radiomic features extracted from postcontrast thoracic CT images.

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License

CC0 1.0 Universal
http://creativecommons.org/publicdomain/zero/1.0/

Publisher

Collections

Data Repository for U of M (DRUM)

Funding information

University of Minnesota CVM Resident and Graduate Student Research Grants

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Previously Published Citation

Suggested citation

Wolf-Ringwall, Amber; Rendahl, Aaron; Seelig, Davis; Ober, Chris; Able, Hannah; Wilke, Chris; Lawrence, Jessica. (2021). CT radiomic features for canine primary lung tumors. Retrieved from the Data Repository for the University of Minnesota (DRUM), https://doi.org/10.13020/mkez-rd57.

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