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Morphometric evaluation of canine hepatocellular carcinoma using computed tomography: a promising tool for predicting malignancy

The size of canine focal liver lesions (FLLs) is known to be one of the predicting criteria for malignancy. However, there are discrepancies for the measurement of maximum lesion size, resulting in contradicting results among studies and incidences of false positive outcomes. Thus far, the morphomet...

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Autores principales: LEELA-ARPORN, Rommaneeya, OHTA, Hiroshi, SHIMBO, Genya, SASAKI, Noboru, TAKIGUCHI, Mitsuyoshi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Japanese Society of Veterinary Science 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8498825/
https://www.ncbi.nlm.nih.gov/pubmed/34234070
http://dx.doi.org/10.1292/jvms.21-0218
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author LEELA-ARPORN, Rommaneeya
OHTA, Hiroshi
SHIMBO, Genya
SASAKI, Noboru
TAKIGUCHI, Mitsuyoshi
author_facet LEELA-ARPORN, Rommaneeya
OHTA, Hiroshi
SHIMBO, Genya
SASAKI, Noboru
TAKIGUCHI, Mitsuyoshi
author_sort LEELA-ARPORN, Rommaneeya
collection PubMed
description The size of canine focal liver lesions (FLLs) is known to be one of the predicting criteria for malignancy. However, there are discrepancies for the measurement of maximum lesion size, resulting in contradicting results among studies and incidences of false positive outcomes. Thus far, the morphometric changes of FLLs for distinguishing malignancy from benignancy remains undocumented. This study aimed to investigate morphometric characteristics of FLLs using computed tomography (CT). CT images of 40 dogs with histopathological confirmation of 49 liver lesions, including 39 hepatocellular carcinomas and 10 nodular hyperplasias were retrospectively reviewed. The morphometric parameters including size (long and short axis diameters measured on transverse image), shape (measured by long to short axis (L/S) ratio), volume, and surface appearance of a liver lesion were evaluated using univariate and stepwise multivariate analyses, respectively. The results of univariate analysis showed that long and short axis diameters, L/S ratio, volume, and surface appearance of a lesion were significantly different between hepatocellular carcinomas and nodular hyperplasias. Multivariate analysis revealed that short axis diameter (>3.30 cm; odds ratio (OR): 36.1, 95% confidence interval (CI): 3.36–387.05, P=0.0031) and L/S ratio (>1.23; OR: 18.1, 95% CI: 1.61–205.12, P=0.0191) were independent predictors of malignancy, with the area under the curve of 0.9154. These results suggest that the combination of short axis diameter and L/S ratio is a promising tool for predicting liver malignancy with outstanding discriminating ability.
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spelling pubmed-84988252021-10-13 Morphometric evaluation of canine hepatocellular carcinoma using computed tomography: a promising tool for predicting malignancy LEELA-ARPORN, Rommaneeya OHTA, Hiroshi SHIMBO, Genya SASAKI, Noboru TAKIGUCHI, Mitsuyoshi J Vet Med Sci Internal Medicine The size of canine focal liver lesions (FLLs) is known to be one of the predicting criteria for malignancy. However, there are discrepancies for the measurement of maximum lesion size, resulting in contradicting results among studies and incidences of false positive outcomes. Thus far, the morphometric changes of FLLs for distinguishing malignancy from benignancy remains undocumented. This study aimed to investigate morphometric characteristics of FLLs using computed tomography (CT). CT images of 40 dogs with histopathological confirmation of 49 liver lesions, including 39 hepatocellular carcinomas and 10 nodular hyperplasias were retrospectively reviewed. The morphometric parameters including size (long and short axis diameters measured on transverse image), shape (measured by long to short axis (L/S) ratio), volume, and surface appearance of a liver lesion were evaluated using univariate and stepwise multivariate analyses, respectively. The results of univariate analysis showed that long and short axis diameters, L/S ratio, volume, and surface appearance of a lesion were significantly different between hepatocellular carcinomas and nodular hyperplasias. Multivariate analysis revealed that short axis diameter (>3.30 cm; odds ratio (OR): 36.1, 95% confidence interval (CI): 3.36–387.05, P=0.0031) and L/S ratio (>1.23; OR: 18.1, 95% CI: 1.61–205.12, P=0.0191) were independent predictors of malignancy, with the area under the curve of 0.9154. These results suggest that the combination of short axis diameter and L/S ratio is a promising tool for predicting liver malignancy with outstanding discriminating ability. The Japanese Society of Veterinary Science 2021-07-06 2021-09 /pmc/articles/PMC8498825/ /pubmed/34234070 http://dx.doi.org/10.1292/jvms.21-0218 Text en ©2021 The Japanese Society of Veterinary Science https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution Non-Commercial No Derivatives (by-nc-nd) License. (CC-BY-NC-ND 4.0: https://creativecommons.org/licenses/by-nc-nd/4.0/)
spellingShingle Internal Medicine
LEELA-ARPORN, Rommaneeya
OHTA, Hiroshi
SHIMBO, Genya
SASAKI, Noboru
TAKIGUCHI, Mitsuyoshi
Morphometric evaluation of canine hepatocellular carcinoma using computed tomography: a promising tool for predicting malignancy
title Morphometric evaluation of canine hepatocellular carcinoma using computed tomography: a promising tool for predicting malignancy
title_full Morphometric evaluation of canine hepatocellular carcinoma using computed tomography: a promising tool for predicting malignancy
title_fullStr Morphometric evaluation of canine hepatocellular carcinoma using computed tomography: a promising tool for predicting malignancy
title_full_unstemmed Morphometric evaluation of canine hepatocellular carcinoma using computed tomography: a promising tool for predicting malignancy
title_short Morphometric evaluation of canine hepatocellular carcinoma using computed tomography: a promising tool for predicting malignancy
title_sort morphometric evaluation of canine hepatocellular carcinoma using computed tomography: a promising tool for predicting malignancy
topic Internal Medicine
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8498825/
https://www.ncbi.nlm.nih.gov/pubmed/34234070
http://dx.doi.org/10.1292/jvms.21-0218
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