Computed tomography radiomic features hold prognostic utility for canine lung tumors: An analytical study
- Resource Type
- Authors
- Aaron Rendahl; Davis M. Seelig; Christopher Wilke; Jessica Lawrence; Hannah Able; Amber Wolf-Ringwall; Christopher P. Ober
- Source
- PLoS ONE, Vol 16, Iss 8, p e0256139 (2021)
PLoS ONE
- Subject
- Male
Lung Neoplasms
Databases, Factual
Lung and Intrathoracic Tumors
Carcinoma, Non-Small-Cell Lung
Databases, Genetic
Medicine and Health Sciences
Lung
Mammals
Multidisciplinary
Adenocarcinoma of the Lung
Eukaryota
Prognosis
Tumor Burden
medicine.anatomical_structure
Oncology
Vertebrates
Medicine
Adenocarcinoma
Female
Radiology
Anatomy
Research Article
Tomography, Emission-Computed
medicine.medical_specialty
Histology
Mitotic index
Science
Disease-Free Survival
Dogs
Hounsfield scale
Adenocarcinoma of the lung
medicine
Carcinoma
Animals
Retrospective Studies
business.industry
Organisms
Cancers and Neoplasms
Biology and Life Sciences
medicine.disease
Non-Small Cell Lung Cancer
Amniotes
Histopathology
Secondary Lung Tumors
Tomography, X-Ray Computed
business
Zoology
- Language
- ISSN
- 1932-6203
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 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 pulmonary tumors to histopathologic characteristics and outcome. Disease-free survival, overall survival time and tumor-specific survival were calculated as days from the date of CT scan. Sixty-seven tumors from 65 dogs were evaluated. Fifty-six tumors were classified as primary pulmonary adenocarcinomas and 11 were non-adenocarcinomas. All dogs were treated with surgical resection; 14 dogs received adjuvant chemotherapy. Second opinion histopathology in 63 tumors confirmed the histologic diagnosis in all dogs and further characterized 53 adenocarcinomas. The median overall survival time was longer (p = 0.004) for adenocarcinomas (339d) compared to non-adenocarcinomas (55d). There was wide variation in first-order radiomic statistics across tumors. Mean Hounsfield units (HU) ratio (p = 0.042) and median mean HU ratio (p = 0.042) were higher in adenocarcinomas than in non-adenocarcinomas. For dogs with adenocarcinoma, completeness of excision was associated with overall survival (p