Predictive factors of malignancy in dogs with focal liver lesions using clinical data and ultrasonographic features
A definitive diagnosis of focal liver lesions (FLLs) requires invasive procedures for histopathologic examination. Thus, a simpler noninvasive diagnostic method, such as conventional ultrasonography combined with clinical data, is needed for the prediction of liver malignancy. The objective of this...
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Published in: | Journal of Veterinary Medical Science Vol. 81; no. 5; pp. 723 - 729 |
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Abstract | A definitive diagnosis of focal liver lesions (FLLs) requires invasive procedures for histopathologic examination. Thus, a simpler noninvasive diagnostic method, such as conventional ultrasonography combined with clinical data, is needed for the prediction of liver malignancy. The objective of this study was to examine the diagnostic accuracy of clinical data and ultrasonographic (US) features to differentiate benign and malignant liver lesions. Medical records and US images from dogs with FLLs that underwent abdominal US and histopathologic examinations following surgery or liver biopsy were retrospectively reviewed. Clinical data, including signalment, clinical signs and laboratory findings, and the US features of liver lesions that could act as predictive factors were assessed using univariate and multivariate analyses to evaluate the associations between predictive factors and liver malignancy. Based on the histopathologic results, 55 dogs with malignant lesions and 28 dogs with benign lesions were included in the study. The results of univariate analysis showed that several US features and platelet count were significantly associated with liver malignancy. Multivariate analysis revealed that the platelet count (thrombocytosis; odds ratio [OR]: 4.13, 95% confidence intervals [CI]: 1.81−9.41), lesion size (4.1 cm or greater; OR: 23.83, 95% CI: 3.74−151.95) and echotexture of FLLs (heterogenous; OR: 8.44; 95% CI: 1.37−51.91) were independent predictors for differentiating benign and malignant liver lesions, suggesting that a combination of clinical data and US findings of FLLs could predict liver malignancy in dogs. |
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AbstractList | A definitive diagnosis of focal liver lesions (FLLs) requires invasive procedures for histopathologic examination. Thus, a simpler noninvasive diagnostic method, such as conventional ultrasonography combined with clinical data, is needed for the prediction of liver malignancy. The objective of this study was to examine the diagnostic accuracy of clinical data and ultrasonographic (US) features to differentiate benign and malignant liver lesions. Medical records and US images from dogs with FLLs that underwent abdominal US and histopathologic examinations following surgery or liver biopsy were retrospectively reviewed. Clinical data, including signalment, clinical signs and laboratory findings, and the US features of liver lesions that could act as predictive factors were assessed using univariate and multivariate analyses to evaluate the associations between predictive factors and liver malignancy. Based on the histopathologic results, 55 dogs with malignant lesions and 28 dogs with benign lesions were included in the study. The results of univariate analysis showed that several US features and platelet count were significantly associated with liver malignancy. Multivariate analysis revealed that the platelet count (thrombocytosis; odds ratio [OR]: 4.13, 95% confidence intervals [CI]: 1.81−9.41), lesion size (4.1 cm or greater; OR: 23.83, 95% CI: 3.74−151.95) and echotexture of FLLs (heterogenous; OR: 8.44; 95% CI: 1.37−51.91) were independent predictors for differentiating benign and malignant liver lesions, suggesting that a combination of clinical data and US findings of FLLs could predict liver malignancy in dogs. A definitive diagnosis of focal liver lesions (FLLs) requires invasive procedures for histopathologic examination. Thus, a simpler noninvasive diagnostic method, such as conventional ultrasonography combined with clinical data, is needed for the prediction of liver malignancy. The objective of this study was to examine the diagnostic accuracy of clinical data and ultrasonographic (US) features to differentiate benign and malignant liver lesions. Medical records and US images from dogs with FLLs that underwent abdominal US and histopathologic examinations following surgery or liver biopsy were retrospectively reviewed. Clinical data, including signalment, clinical signs and laboratory findings, and the US features of liver lesions that could act as predictive factors were assessed using univariate and multivariate analyses to evaluate the associations between predictive factors and liver malignancy. Based on the histopathologic results, 55 dogs with malignant lesions and 28 dogs with benign lesions were included in the study. The results of univariate analysis showed that several US features and platelet count were significantly associated with liver malignancy. Multivariate analysis revealed that the platelet count (thrombocytosis; odds ratio [OR]: 4.13, 95% confidence intervals [CI]: 1.81-9.41), lesion size (4.1 cm or greater; OR: 23.83, 95% CI: 3.74-151.95) and echotexture of FLLs (heterogenous; OR: 8.44; 95% CI: 1.37-51.91) were independent predictors for differentiating benign and malignant liver lesions, suggesting that a combination of clinical data and US findings of FLLs could predict liver malignancy in dogs. A definitive diagnosis of focal liver lesions (FLLs) requires invasive procedures for histopathologic examination. Thus, a simpler noninvasive diagnostic method, such as conventional ultrasonography combined with clinical data, is needed for the prediction of liver malignancy. The objective of this study was to examine the diagnostic accuracy of clinical data and ultrasonographic (US) features to differentiate benign and malignant liver lesions. Medical records and US images from dogs with FLLs that underwent abdominal US and histopathologic examinations following surgery or liver biopsy were retrospectively reviewed. Clinical data, including signalment, clinical signs and laboratory findings, and the US features of liver lesions that could act as predictive factors were assessed using univariate and multivariate analyses to evaluate the associations between predictive factors and liver malignancy. Based on the histopathologic results, 55 dogs with malignant lesions and 28 dogs with benign lesions were included in the study. The results of univariate analysis showed that several US features and platelet count were significantly associated with liver malignancy. Multivariate analysis revealed that the platelet count (thrombocytosis; odds ratio [OR]: 4.13, 95% confidence intervals [CI]: 1.81−9.41), lesion size (4.1 cm or greater; OR: 23.83, 95% CI: 3.74−151.95) and echotexture of FLLs (heterogenous; OR: 8.44; 95% CI: 1.37−51.91) were independent predictors for differentiating benign and malignant liver lesions, suggesting that a combination of clinical data and US findings of FLLs could predict liver malignancy in dogs. |
Author | DERMLIM, Angkhana SASAKI, Noboru TAKIGUCHI, Mitsuyoshi TAKAGI, Satoshi HOSOYA, Kenji SASAOKA, Kazuyoshi NAGATA, Noriyuki TAMURA, Masahiro NAKAMURA, Kensuke NISA, Khoirun MORISHITA, Keitaro LEELA-ARPORN, Rommaneeya OHTA, Hiroshi |
Author_xml | – sequence: 1 fullname: LEELA-ARPORN, Rommaneeya organization: Laboratory of Veterinary Internal Medicine, Department of Veterinary Clinical Sciences, Graduate School of Veterinary Medicine, Hokkaido University, Sapporo, Hokkaido 060-0818, Japan – sequence: 2 fullname: OHTA, Hiroshi organization: Laboratory of Veterinary Internal Medicine, Department of Veterinary Clinical Sciences, Graduate School of Veterinary Medicine, Hokkaido University, Sapporo, Hokkaido 060-0818, Japan – sequence: 3 fullname: TAMURA, Masahiro organization: Laboratory of Veterinary Internal Medicine, Department of Veterinary Clinical Sciences, Graduate School of Veterinary Medicine, Hokkaido University, Sapporo, Hokkaido 060-0818, Japan – sequence: 4 fullname: NAGATA, Noriyuki organization: Laboratory of Veterinary Internal Medicine, Department of Veterinary Clinical Sciences, Graduate School of Veterinary Medicine, Hokkaido University, Sapporo, Hokkaido 060-0818, Japan – sequence: 5 fullname: SASAOKA, Kazuyoshi organization: Laboratory of Veterinary Internal Medicine, Department of Veterinary Clinical Sciences, Graduate School of Veterinary Medicine, Hokkaido University, Sapporo, Hokkaido 060-0818, Japan – sequence: 6 fullname: DERMLIM, Angkhana organization: Laboratory of Veterinary Internal Medicine, Department of Veterinary Clinical Sciences, Graduate School of Veterinary Medicine, Hokkaido University, Sapporo, Hokkaido 060-0818, Japan – sequence: 7 fullname: NISA, Khoirun organization: Laboratory of Veterinary Internal Medicine, Department of Veterinary Clinical Sciences, Graduate School of Veterinary Medicine, Hokkaido University, Sapporo, Hokkaido 060-0818, Japan – sequence: 8 fullname: MORISHITA, Keitaro organization: Veterinary Teaching Hospital, Graduate School of Veterinary Medicine, Hokkaido University, Sapporo, Hokkaido 060-0818, Japan – sequence: 9 fullname: SASAKI, Noboru organization: Laboratory of Veterinary Internal Medicine, Department of Veterinary Clinical Sciences, Graduate School of Veterinary Medicine, Hokkaido University, Sapporo, Hokkaido 060-0818, Japan – sequence: 10 fullname: NAKAMURA, Kensuke organization: Veterinary Teaching Hospital, Graduate School of Veterinary Medicine, Hokkaido University, Sapporo, Hokkaido 060-0818, Japan – sequence: 11 fullname: TAKAGI, Satoshi organization: Veterinary Teaching Hospital, Graduate School of Veterinary Medicine, Hokkaido University, Sapporo, Hokkaido 060-0818, Japan – sequence: 12 fullname: HOSOYA, Kenji organization: Veterinary Teaching Hospital, Graduate School of Veterinary Medicine, Hokkaido University, Sapporo, Hokkaido 060-0818, Japan – sequence: 13 fullname: TAKIGUCHI, Mitsuyoshi organization: Laboratory of Veterinary Internal Medicine, Department of Veterinary Clinical Sciences, Graduate School of Veterinary Medicine, Hokkaido University, Sapporo, Hokkaido 060-0818, Japan |
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Cites_doi | 10.2460/ajvr.73.6.821 10.1182/blood.V94.6.1952 10.1182/blood.V80.8.2052.bloodjournal8082052 10.1016/j.cvsm.2009.02.006 10.1155/2013/684026 10.1111/j.1748-5827.2011.01184.x 10.3748/wjg.v10.i17.2472 10.1002/(SICI)1097-0142(19990901)86:5<799::AID-CNCR15>3.0.CO;2-# 10.1016/S0195-5616(98)50077-0 10.1136/vr.104042 10.1111/j.1939-165X.2012.00416.x 10.1111/jvim.14831 10.5326/15473317-37-3-228 10.1111/j.1740-8261.2009.01515.x 10.7863/jum.1989.8.11.621 10.2460/javma.2004.225.1225 10.1111/j.1740-8261.1990.tb00800.x 10.1016/B978-1-4160-4867-1.00009-X 10.1111/apm.12574 10.1111/j.1740-8261.2002.tb01003.x 10.1111/j.1740-8261.2009.01572.x 10.1111/j.1740-8261.2009.01627.x 10.2460/javma.1993.203.03.413 10.1111/vru.12099 10.1111/j.1740-8261.2011.01917.x 10.1016/j.cvsm.2016.11.016 |
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SubjectTerms | Benign Biopsy canine classification Internal Medicine Lesions Liver liver nodule Malignancy Medical records Multivariate analysis Platelets Surgery Thrombocytosis ultrasonography Ultrasound |
Title | Predictive factors of malignancy in dogs with focal liver lesions using clinical data and ultrasonographic features |
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ispartofPNX | Journal of Veterinary Medical Science, 2019, Vol.81(5), pp.723-729 |
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