Document Detail


Analysis of clinical and ultrasonographic data by use of logistic regression models for prediction of malignant versus benign causes of ultrasonographically detected focal liver lesions in dogs.
MedLine Citation:
PMID:  22620696     Owner:  NLM     Status:  In-Data-Review    
Abstract/OtherAbstract:
Objective-To investigate the value of clinical, laboratory, and imaging data for use in predicting malignant or benign histologic results for ultrasonographically detected focal liver lesions in dogs. Sample-Records and archived images of 247 dogs evaluated at the University of Minnesota Veterinary Medical Center from 2005 to 2008 that underwent abdominal ultrasonography and histologic evaluation of the liver. Procedures-Data were analyzed with multivariable logistic regression models. All dogs were classified as having benign or malignant liver disease on the basis of histologic reports. Three multivariable logistic regression models were fit to a development subset of the data by use of combinations of signalment, historical, physical examination, laboratory, and diagnostic imaging (survey radiography and abdominal ultrasonography) data as predictor variables. The resulting models were validated by evaluating predictive performance against a holdout validation subset of the data. Results-Models that included ultrasonographic variables had the highest overall predictive value. In these models, greater lesion size and the presence of peritoneal fluid were the only variables that had a positive association with malignant liver disease. Conclusions and Clinical Relevance-Large ultrasonographically detected liver lesions and the presence of peritoneal fluid were associated with malignant liver disease in dogs.
Authors:
Tsuyoshi Murakami; Daniel A Feeney; Katherine L Bahr
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Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  American journal of veterinary research     Volume:  73     ISSN:  1943-5681     ISO Abbreviation:  Am. J. Vet. Res.     Publication Date:  2012 Jun 
Date Detail:
Created Date:  2012-05-24     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  0375011     Medline TA:  Am J Vet Res     Country:  United States    
Other Details:
Languages:  eng     Pagination:  821-9     Citation Subset:  IM    
Affiliation:
Department of Veterinary Clinical Sciences, College of Veterinary Medicine, University of Minnesota, Saint Paul, MN 55108.
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