Peer-reviewed veterinary case report
CT scan features can help predict outcomes for dog lung tumors
By Hannah Able et al.·Published in PLoS ONE·2021·View original on DOAJ →
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Original publication title: Computed tomography radiomic features hold prognostic utility for canine lung tumors: An analytical study.
- Species:
- dog
Plain-English summary
A group of 65 dogs with lung tumors underwent surgery, and many were treated with chemotherapy. The study found that dogs with a specific type of lung tumor called adenocarcinoma had a longer survival time after treatment compared to those with other types. The researchers used CT scans to analyze the tumors and discovered that certain features could help predict how well the dog would do after surgery. Overall, the findings suggest that understanding these tumor characteristics can help veterinarians provide better care and treatment options for dogs with lung tumors.
People also search for: dog lung tumor treatment · adenocarcinoma survival rate in dogs · canine lung cancer prognosis
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 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<0.001) while higher mitotic index (p = 0.007) and histologic score (p = 0.037) were associated with shorter disease-free survival. CT-derived tumor variables prognostic for outcome included volume, maximum axial diameter, and four radiomic features: integral total, integral total mean ratio, total HU, and max mean HU ratio. Tumor volume was also significantly associated with tumor invasion (p = 0.044). Further study of radiomic features in canine lung tumors is warranted as a method to non-invasively interrogate CT images for potential predictive and prognostic utility.
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Search related cases →Original publication on DOAJ: https://doi.org/10.1371/journal.pone.0256139