Abstract
Objective To identify and describe the ultrasonographic features of soft tissue tumours in dogs. Procedure Superficial soft tissue tumours of various histological types, including mast cell tumours (MCTs) and soft tissue sarcomas (STSs), were evaluated. Ultrasound was used to visualise internal characteristics of the tumour, including vascularity. Tumours were categorised according to size, shape, margin definition, tissue plane mobility, echogenicity, echotexture, acoustic shadowing or enhancement and vessel distribution. Objective measurements of intratumoural blood flow included velocities and maximal perfused cross-sectional area (fractional area). Logistic regression models incorporating a variety of data were used in an attempt to predict the histopathological type of tumours. Results The logistic regression model defined by the parameters echotexture, margin definition and presence of subcapsular vessels was highly predictive of MCTs (> 73%; P = 0.024). Several other trends, including a larger size for STSs and less vascularity for both MCTs and STSs, were observed, but did not reach statistical significance. Conclusion This preliminary study has shown the potential diagnostic value of ultrasound in differentiating soft tissue tumours. However, at present, ultrasound cannot replace biopsy and histopathological evaluation for tumour diagnosis.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 323-329 |
| Number of pages | 7 |
| Journal | Australian Veterinary Journal |
| Volume | 87 |
| Issue number | 8 |
| DOIs | |
| State | Published - Aug 2009 |
| Externally published | Yes |
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Keywords
- Diagnosis
- Mast cell tumours
- Soft tissue sarcomas
- Ultrasound
- Vascularity
ASJC Scopus subject areas
- veterinary(all)
Cite this
Ultrasonographic characteristics of soft tissue tumours in dogs. / Loh, Z. H K; Allan, G. S.; Nicoll, R. G.; Hunt, Geraldine B.
In: Australian Veterinary Journal, Vol. 87, No. 8, 08.2009, p. 323-329.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Ultrasonographic characteristics of soft tissue tumours in dogs
AU - Loh, Z. H K
AU - Allan, G. S.
AU - Nicoll, R. G.
AU - Hunt, Geraldine B
PY - 2009/8
Y1 - 2009/8
N2 - Objective To identify and describe the ultrasonographic features of soft tissue tumours in dogs. Procedure Superficial soft tissue tumours of various histological types, including mast cell tumours (MCTs) and soft tissue sarcomas (STSs), were evaluated. Ultrasound was used to visualise internal characteristics of the tumour, including vascularity. Tumours were categorised according to size, shape, margin definition, tissue plane mobility, echogenicity, echotexture, acoustic shadowing or enhancement and vessel distribution. Objective measurements of intratumoural blood flow included velocities and maximal perfused cross-sectional area (fractional area). Logistic regression models incorporating a variety of data were used in an attempt to predict the histopathological type of tumours. Results The logistic regression model defined by the parameters echotexture, margin definition and presence of subcapsular vessels was highly predictive of MCTs (> 73%; P = 0.024). Several other trends, including a larger size for STSs and less vascularity for both MCTs and STSs, were observed, but did not reach statistical significance. Conclusion This preliminary study has shown the potential diagnostic value of ultrasound in differentiating soft tissue tumours. However, at present, ultrasound cannot replace biopsy and histopathological evaluation for tumour diagnosis.
AB - Objective To identify and describe the ultrasonographic features of soft tissue tumours in dogs. Procedure Superficial soft tissue tumours of various histological types, including mast cell tumours (MCTs) and soft tissue sarcomas (STSs), were evaluated. Ultrasound was used to visualise internal characteristics of the tumour, including vascularity. Tumours were categorised according to size, shape, margin definition, tissue plane mobility, echogenicity, echotexture, acoustic shadowing or enhancement and vessel distribution. Objective measurements of intratumoural blood flow included velocities and maximal perfused cross-sectional area (fractional area). Logistic regression models incorporating a variety of data were used in an attempt to predict the histopathological type of tumours. Results The logistic regression model defined by the parameters echotexture, margin definition and presence of subcapsular vessels was highly predictive of MCTs (> 73%; P = 0.024). Several other trends, including a larger size for STSs and less vascularity for both MCTs and STSs, were observed, but did not reach statistical significance. Conclusion This preliminary study has shown the potential diagnostic value of ultrasound in differentiating soft tissue tumours. However, at present, ultrasound cannot replace biopsy and histopathological evaluation for tumour diagnosis.
KW - Diagnosis
KW - Mast cell tumours
KW - Soft tissue sarcomas
KW - Ultrasound
KW - Vascularity
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U2 - 10.1111/j.1751-0813.2009.00460.x
DO - 10.1111/j.1751-0813.2009.00460.x
M3 - Article
VL - 87
SP - 323
EP - 329
JO - Australian Veterinary Journal
JF - Australian Veterinary Journal
SN - 0005-0423
IS - 8
ER -