Eight batches of raw material of pollen preparation——pollen mass have heen investigated in their character,specific pollen rate, abnormal toxicity test and residue of pesticide. These data will avail the quality control of pollen mass and assurance of safety and effect of pollen preparation.

This study was aimed to analyze the correlation between CT perfusion parameters, e. g. perfusion (PF), blood volume (BV), peak enhancement image (PEI), time to peak (TTP), and the microvessel density (MVD) of cervical cancer. CT perfusion scans were carried out in 31 patients with cervical cancer. After their surgical resections, we obtained 31 cases of cervical cancer specimens, and 15 cases of adjacent normal cervical specimens as control group, then these 46 specimens were used in MVD detection through immunohistochemical CD34 staining. The MVDs of the tumor group were significantly higher than those in the control group, and the former seems to increase with the clinical stages with a positive correlation. The PF and PEI values have positive correlations with corresponding MVD values. The PF value of squamous carcinoma group has correlation with corresponding MVD value. The PF and PEI values of poorly differentiated group have correlations with corresponding MVD values. The PF, PEI and BV values of II-III stage group are positively correlated with corresponding MVD values. The PF value of lymph metastasis or non-lymph metastasis group both have correlations with corresponding MVD values. We found that CT perfusion parameters were positively correlated with corresponding MVD values in cervical cancer. Our results suggest that CT perfusion is a new method which could reflect tumor angiogenesis, histological malignant grade, invasion, and clinical stage. It will help us determine the tumor staging and prognosis.
Adenocarcinoma ; blood supply ; diagnostic imaging ; Adult ; Aged ; Carcinoma, Squamous Cell ; blood supply ; diagnostic imaging ; Contrast Media ; Female ; Humans ; Microvessels ; pathology ; Middle Aged ; Neovascularization, Pathologic ; diagnostic imaging ; Perfusion Imaging ; Radiographic Image Interpretation, Computer-Assisted ; Tomography, Spiral Computed ; methods ; Uterine Cervical Neoplasms ; blood supply ; diagnostic imaging ; Young Adult