Funded by The American College of Veterinary Radiology Resident Research Award The Ohio State University Canine Grant.
ACCURACY OF COMPUTED TOMOGRAPHY IN DETERMINING LESION SIZE IN CANINE APPENDICULAR OSTEOSARCOMA
Article first published online: 13 MAR 2012
© 2012 Veterinary Radiology & Ultrasound
Veterinary Radiology & Ultrasound
Volume 53, Issue 3, pages 273–279, May/June 2012
How to Cite
Karnik, K. S., Samii, V. F., Weisbrode, S. E., London, C. A. and Green, E. M. (2012), ACCURACY OF COMPUTED TOMOGRAPHY IN DETERMINING LESION SIZE IN CANINE APPENDICULAR OSTEOSARCOMA. Veterinary Radiology & Ultrasound, 53: 273–279. doi: 10.1111/j.1740-8261.2012.01930.x
Presented at the American College of Veterinary Radiology 2010 Annual Scientific Meeting, Asheville, NC.
- Issue published online: 16 MAY 2012
- Article first published online: 13 MAR 2012
- Manuscript Accepted: 17 JAN 2012
- Manuscript Received: 1 JUL 2011
- American College of Veterinary Radiology Resident Research Award The Ohio State University Canine Grant
- computed tomography;
Multidetector contrast enhanced computed tomography with acquisition of 0.625-mm thick transverse images was used to measure the extent of appendicular osteosarcoma in 10 dogs. The measured length of tumor based on CT was compared to the true length of tumor using histopathology. There was a statistically significant association with good correlation between the true length of osteosarcoma compared to the length of intramedullary/endosteal abnormalities on CT with a mean overestimation of 1.8% (SD = 15%). There was not a statistically significant association between the true tumor length and the length of periosteal proliferation on CT with a mean overestimation of 9.7% (SD = 30.3%). There was a statistically significant association, but with poor correlation, between the true tumor length compared to the length of abnormal contrast enhancement with a mean overestimation of 9.6% (SD = 34.8%). The extent of intramedullary/endosteal CT abnormalities assessed from submillimeter transverse images may be of value in assessing patient candidacy and surgical margins for limb-sparing surgery