[Correlation analysis between multi-slice CT perfusion imaging and microvessel density in ovarian tumors]
Gui-Hua Jiang1, Shao-Qing Zeng, Jun-Zhang Tian
1Department of Imaging Diagnosis, Second People's Hospital of Guangdong Province, Guangzhou 510317, China. jiangguihua177@163.com
Nan Fang Yi Ke Da Xue Xue Bao = Journal of Southern Medical University
|November 20, 2009
Summary
Multi-slice CT perfusion imaging reveals significant differences in hemodynamic features between benign and malignant ovarian tumors. This technique correlates blood volume with microvessel density, aiding in tumor diagnosis.
Area of Science:
- Radiology
- Oncology
- Medical Imaging
Background:
- Ovarian tumors present diagnostic challenges.
- Microvessel density (MVD) is a key indicator of tumor angiogenesis.
- Hemodynamic features can differentiate tumor types.
Purpose of the Study:
- To correlate perfusion data with MVD in ovarian tumors.
- To investigate hemodynamic features using CT perfusion imaging.
- To differentiate benign from malignant ovarian tumors.
Main Methods:
- Multi-slice CT perfusion imaging was performed on 12 patients (6 benign, 6 malignant).
- Perfusion parameters (PEI, TTP, BV) were acquired.
- Tumor MVD was assessed via immunohistochemical staining.
Main Results:
- Malignant tumors showed faster time-density curves and higher MVD than benign tumors (P<0.05).
- Statistically significant differences in PEI, TTP, and BV were observed between groups (P<0.05).
- Mean blood volume (BV) in malignant tumors positively correlated with MVD (r=0.786, P<0.05).
Conclusions:
- Multi-slice spiral CT perfusion imaging accurately captures ovarian tumor enhancement data.
- CT perfusion imaging aids in the diagnosis and differential diagnosis of ovarian tumors.
- Hemodynamic feature analysis provides valuable diagnostic information.
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