Computed tomographic features for differentiating benign from malignant liver lesions in dogs

Leela-Arporn, Rommaneeya; Ohta, Hiroshi; Shimbo, Genya; Hanazono, Kiwamu; Osuga, Tatsuyuki; Morishita, Keitaro; Sasaki, Noboru; Takiguchi, Mitsuyoshi

Computed tomographic features for differentiating benign from malignant liver lesions in dogs

Leela-Arporn, Rommaneeya; Ohta, Hiroshi; Shimbo, Genya et al.

Journal of veterinary medical science, 2019, 81(12), 1697-1704

Permalink : https://hdl.handle.net/2115/76938

このアイテムのアクセス数:706件（2026-10-10 11:05 集計）

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https://doi.org/10.1292/jvms.19-0278			27

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アクセス権	open access
URI	https://hdl.handle.net/2115/76938
タイトル	Computed tomographic features for differentiating benign from malignant liver lesions in dogs
著者	Leela-Arporn, Rommaneeya ; Ohta, Hiroshi ; Shimbo, Genya ; Hanazono, Kiwamu ; Osuga, Tatsuyuki ; Morishita, Keitaro ; Sasaki, Noboru ; Takiguchi, Mitsuyoshi
著者名 Leela-Arporn, Rommaneeya
e-Rad_Researcher 50431333 著者名 Ohta, Hiroshi
著者名 Shimbo, Genya
著者名 Hanazono, Kiwamu
著者名 Osuga, Tatsuyuki
e-Rad_Researcher 30637046 著者名 Morishita, Keitaro
e-Rad_Researcher 00754532 著者名 Sasaki, Noboru
e-Rad_Researcher 70261336 著者名 Takiguchi, Mitsuyoshi
言語	英語
キーワード	canine
	classification
	computed tomography
	liver
	neoplasia
発行日	2019-12
出版者	公益社団法人日本獣医学会 (The Japanese Society of Veterinary Science)
収録物名	Journal of veterinary medical science
巻(号)	81(12)
ページ	1697-1704
抄録	Thus far, there are few computed tomography (CT) characteristics that can distinguish benign and malignant etiologies. The criteria are complex, subjective, and difficult to use in clinical applications due to the high level of experience needed. This study aimed to identify practical CT variables and their clinical relevance for broadly classifying histopathological diagnoses as benign or malignant. In this prospective study, all dogs with liver nodules or masses that underwent CT examination and subsequent histopathological diagnosis were included. Signalments, CT findings and histopathological diagnoses were recorded. Seventy liver nodules or masses in 57 dogs were diagnosed, comprising 18 benign and 52 malignant lesions. Twenty-three qualitative and quantitative CT variables were evaluated using univariate and stepwise multivariate analyses, respectively. Two variables, namely, the postcontrast enhancement pattern of the lesion in the delayed phase (heterogeneous; odds ratio (OR): 14.7, 95% confidence interval (CI): 0.82-262.03, P=0.0429) and the maximal transverse diameter of the lesion (>4.5 cm; OR: 33.3, 95% CI: 2.29-484.18, P=0.0006), were significantly related to the differentiation of benign from malignant liver lesions, with an area under the curve of 0.8910, representing an accuracy of 88.6%. These findings indicate that features from triple-phase CT can provide information for distinguishing pathological varieties of focal liver lesions and for clinical decision making. Evaluations of the maximal transverse diameter and postcontrast enhancement pattern of the lesion included simple CT features for predicting liver malignancy with high accuracy in clinical settings.
資源タイプ	学術雑誌論文
出版タイプ	Version of Record
権利情報	Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
PISSN	0916-7250
関連情報 (isIdenticalTo)	出版社版DOI https://doi.org/10.1292/jvms.19-0278