Peer-reviewed veterinary case report
Predicting cancer in dogs' liver lumps using ultrasound and tests
By Murakami, Tsuyoshi et al.·Published in American journal of veterinary research·2012·Department of Veterinary Clinical Sciences, United States·View original on PubMed →
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Original publication title: 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.
- Species:
- dog
Plain-English summary
A group of 247 dogs underwent abdominal ultrasound to check for liver lesions, which can be either benign (non-cancerous) or malignant (cancerous). The study found that larger liver lesions and the presence of fluid in the abdomen were linked to a higher chance of cancer. This means that if your dog has a significant liver lesion and fluid buildup, your vet may consider further testing to rule out cancer. Early detection and accurate diagnosis are crucial for effective treatment options.
People also search for: dog liver lesion ultrasound · signs of liver cancer in dogs · dog abdominal fluid treatment
Abstract
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.
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Search related cases →Original publication on PubMed: https://pubmed.ncbi.nlm.nih.gov/22620696/