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Computed tomographic features for differentiating benign from malignant liver lesions in dogs
http://hdl.handle.net/10659/00006621
http://hdl.handle.net/10659/0000662151b95fab-e89b-40fe-a756-7b9aab23ee2e
名前 / ファイル | ライセンス | アクション |
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R-2020-27_hanazono.pdf (1.4 MB)
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Item type | 学術雑誌論文 / Journal Article(1) | |||||
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公開日 | 2020-11-18 | |||||
タイトル | ||||||
タイトル | Computed tomographic features for differentiating benign from malignant liver lesions in dogs | |||||
言語 | ||||||
言語 | eng | |||||
キーワード | ||||||
主題Scheme | Other | |||||
主題 | canine | |||||
キーワード | ||||||
主題Scheme | Other | |||||
主題 | classification | |||||
キーワード | ||||||
主題Scheme | Other | |||||
主題 | computed tomography | |||||
キーワード | ||||||
主題Scheme | Other | |||||
主題 | liver | |||||
キーワード | ||||||
主題Scheme | Other | |||||
主題 | neoplasia | |||||
キーワード | ||||||
言語 | en | |||||
主題Scheme | Other | |||||
主題 | canine | |||||
キーワード | ||||||
言語 | en | |||||
主題Scheme | Other | |||||
主題 | classification | |||||
キーワード | ||||||
言語 | en | |||||
主題Scheme | Other | |||||
主題 | computed tomography | |||||
キーワード | ||||||
言語 | en | |||||
主題Scheme | Other | |||||
主題 | liver | |||||
キーワード | ||||||
言語 | en | |||||
主題Scheme | Other | |||||
主題 | neoplasia | |||||
資源タイプ | ||||||
資源タイプ識別子 | http://purl.org/coar/resource_type/c_6501 | |||||
資源タイプ | journal article | |||||
著者 |
LEELA-ARPORN, Rommaneeya
× LEELA-ARPORN, Rommaneeya× OHTA, Hiroshi× SHIMBO, Genya× 華園, 究× OSUGA, Tatsuyuki× MORISHITA, Keitaro× SASAKI, Noboru× TAKIGUCHI, Mitsuyoshi |
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抄録 | ||||||
内容記述タイプ | Abstract | |||||
内容記述 | 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. | |||||
書誌情報 |
Journal of Veterinary Medical Science 巻 81, 号 12, p. 1697-1704, 発行日 2019-12 |
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ISBN | ||||||
識別子タイプ | ISBN | |||||
関連識別子 | 0916-7250 | |||||
DOI | ||||||
関連タイプ | isIdenticalTo | |||||
識別子タイプ | DOI | |||||
関連識別子 | https://doi.org/10.1292/jvms.19-0278 | |||||
権利(URI) | ||||||
権利情報 | https://creativecommons.org/licenses/by-nc-nd/4.0/deed.ja | https://creativecommons.org/licenses/by-nc-nd/4.0/deed.ja | |||||
著者版フラグ | ||||||
出版タイプ | VoR | |||||
出版タイプResource | http://purl.org/coar/version/c_970fb48d4fbd8a85 | |||||
出版者 | ||||||
出版者 | 日本獣医学会 | |||||
資源タイプ | ||||||
内容記述タイプ | Other | |||||
内容記述 | Article |