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Usefulness of computed tomography findings for predicting soft tissue sarcoma grades
Jeongyun Jeong1, Myounghun Kim1, Jongwon Koo1
1Department of Veterinary Medical Imaging, College of Veterinary Medicine, Konkuk University, Seoul, Republic of Korea.
Computed tomography (CT) can help predict soft tissue sarcoma (STS) grades in dogs. Larger tumor size, abnormal vessels, fat stranding, and lymphadenopathy on CT scans correlate with higher STS grades.
Area of Science:
- Veterinary Radiology
- Oncology
- Medical Imaging
Background:
- Soft tissue sarcomas (STSs) are diverse tumors originating from mesenchymal cells.
- Accurate staging of STSs is crucial for treatment planning and predicting outcomes.
- Histological grade significantly impacts STS recurrence and metastasis, but pre-operative grading via imaging remains challenging.
Purpose of the Study:
- To investigate if computed tomography (CT) findings can differentiate histological grades of soft tissue sarcomas (STSs) in dogs.
- To identify specific CT imaging features associated with different STS grades (1, 2, and 3).
Main Methods:
- Retrospective analysis of CT scans from 30 dogs with histopathologically confirmed STSs (12 Grade 1, 10 Grade 2, 8 Grade 3).
- Evaluation of various CT features: tumor delineation, vascularity, enhancement patterns, calcification, cystic lesions, fat stranding, lymphadenopathy, and lung metastasis.
- Quantitative assessment of tumor size and attenuation values (pre- and post-contrast).
Main Results:
- Significant differences in tumor size, dysmorphic intratumoral/peritumoral vessels, peritumoral fat stranding, and metastatic regional lymphadenopathy were observed among STS grades.
- Grade 3 STSs were larger and showed a higher prevalence of dysmorphic vessels compared to Grade 1.
- Grade 3 STSs exhibited a significantly higher rate of adjacent metastatic lymphadenopathy than Grade 2 STSs.
Conclusions:
- CT imaging features, including tumor size and vascularity, can aid in differentiating soft tissue sarcoma histological grades in dogs.
- Identifying these CT characteristics pre-histopathology may assist in planning surgical resection margins for STSs.
- Further research could refine CT-based grading for improved STS management in veterinary oncology.
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