Computed tomography radiomic features hold prognostic utility for canine lung tumors: An analytical study.

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...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Hannah Able, Amber Wolf-Ringwall, Aaron Rendahl, Christopher P Ober, Davis M Seelig, Chris T Wilke, Jessica Lawrence
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/065cdc5530d44cd1ad6c2a05c52dcc27
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:065cdc5530d44cd1ad6c2a05c52dcc27
record_format	dspace
spelling	oai:doaj.org-article:065cdc5530d44cd1ad6c2a05c52dcc272021-12-02T20:18:00ZComputed tomography radiomic features hold prognostic utility for canine lung tumors: An analytical study.1932-620310.1371/journal.pone.0256139https://doaj.org/article/065cdc5530d44cd1ad6c2a05c52dcc272021-01-01T00:00:00Zhttps://doi.org/10.1371/journal.pone.0256139https://doaj.org/toc/1932-6203Quantitative 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.Hannah AbleAmber Wolf-RingwallAaron RendahlChristopher P OberDavis M SeeligChris T WilkeJessica LawrencePublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 16, Iss 8, p e0256139 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Hannah Able Amber Wolf-Ringwall Aaron Rendahl Christopher P Ober Davis M Seelig Chris T Wilke Jessica Lawrence Computed tomography radiomic features hold prognostic utility for canine lung tumors: An analytical study.
description	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.
format	article
author	Hannah Able Amber Wolf-Ringwall Aaron Rendahl Christopher P Ober Davis M Seelig Chris T Wilke Jessica Lawrence
author_facet	Hannah Able Amber Wolf-Ringwall Aaron Rendahl Christopher P Ober Davis M Seelig Chris T Wilke Jessica Lawrence
author_sort	Hannah Able
title	Computed tomography radiomic features hold prognostic utility for canine lung tumors: An analytical study.
title_short	Computed tomography radiomic features hold prognostic utility for canine lung tumors: An analytical study.
title_full	Computed tomography radiomic features hold prognostic utility for canine lung tumors: An analytical study.
title_fullStr	Computed tomography radiomic features hold prognostic utility for canine lung tumors: An analytical study.
title_full_unstemmed	Computed tomography radiomic features hold prognostic utility for canine lung tumors: An analytical study.
title_sort	computed tomography radiomic features hold prognostic utility for canine lung tumors: an analytical study.
publisher	Public Library of Science (PLoS)
publishDate	2021
url	https://doaj.org/article/065cdc5530d44cd1ad6c2a05c52dcc27
work_keys_str_mv	AT hannahable computedtomographyradiomicfeaturesholdprognosticutilityforcaninelungtumorsananalyticalstudy AT amberwolfringwall computedtomographyradiomicfeaturesholdprognosticutilityforcaninelungtumorsananalyticalstudy AT aaronrendahl computedtomographyradiomicfeaturesholdprognosticutilityforcaninelungtumorsananalyticalstudy AT christopherpober computedtomographyradiomicfeaturesholdprognosticutilityforcaninelungtumorsananalyticalstudy AT davismseelig computedtomographyradiomicfeaturesholdprognosticutilityforcaninelungtumorsananalyticalstudy AT christwilke computedtomographyradiomicfeaturesholdprognosticutilityforcaninelungtumorsananalyticalstudy AT jessicalawrence computedtomographyradiomicfeaturesholdprognosticutilityforcaninelungtumorsananalyticalstudy
_version_	1718374326611214336

Computed tomography radiomic features hold prognostic utility for canine lung tumors: An analytical study.

Ejemplares similares