腮腺肿瘤MSCT灌注扫描结果:入选动脉和病灶ROI选择的影响

MSCT perfusion of parotid tumor:the effect of arterial input and region of interest selection

  • 摘要:
    目的探讨入选动脉和病灶ROI选择对腮腺肿瘤多层螺旋CT(MSCT)灌注扫描结果的影响。
    方法使用Philips ADW4.5工作站自带的灌注扫描软件对12例腮腺肿瘤患者进行MSCT灌注后处理分析。记录选择不同入选动脉和病灶ROI时的血流量(BF)、血容量(BV)和增强幅度(PEI)等灌注参数;采用方差分析法分析并比较上述各组参数值;采用独立样本t检验比较腺淋巴瘤和非腺淋巴瘤灌注参数之间的差异性。
    结果选取颈外动脉(ECA)、颈内动脉(ICA)和颈总动脉(CCA)为入选动脉时,BF、BV和PEI值在各组之间的差异无统计学意义(F=0.012、0.007和0.233,均P>0.05);当肿瘤取不同面积ROI时,上述各灌注参数值之间的差异同样不具有统计学意义(F=0.220、0.033和0.283,均P>0.05)。选择ECA作为入选动脉、ROI为80%瘤体面积(S80%)时,PEI对腺淋巴瘤的鉴别诊断效能最高。
    结论入选动脉和病灶ROI的大小对腮腺肿瘤灌注结果无明显影响;但选择ECA作为入选动脉、ROI取S80%可能有助于提高腮腺腺淋巴瘤的诊断效能。

     

    Abstract:
    ObjectiveTo evaluate the effect of arterial input and ROI selection on the perfusion CT parameters of parotid tumors.
    MethodsA deconvolution-based software(Philips ADW4.5) was used to perform perfusion calculations on 12 parotid tumor patients. Blood flow(BF), blood volume(BV), and peak enhancement index(PEI) of different arterial inputs and ROI selection were recorded. These values were compared using one-way ANOVA. Independent sample t-test was performed to compare the values of adenolymphoma and non-adenolymphoma.
    ResultsNo significant difference was observed among BF, BV, and PEI obtained when external carotid artery(ECA), internal carotid artery(ICA), and common carotid artery(CCA) were used as input arteries(F=0.012, 0.007 and 0.233, all P>0.05). Similarly, no significant difference was observed among the perfusion parameters of different ROIs of lesions(F=0.220, 0.033, and 0.283, all P>0.05). When ECA was selected as arterial input, the area of ROI was approximately S80%, and PEI had the best diagnostic effect for adenolymphoma differential diagnosis.
    ConclusionsArterial input selection and area of ROI had no significant effect on perfusion CT calculation of parotid tumor. However, ECA and S80% of ROI selected for perfusion post-processing might facilitate parotid adenolymphoma diagnosis.

     

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