Method of tumor volume evaluation using magnetic resonance imaging for outcome prediction in cervical cancer treated with concurrent chemotherapy and radiotherapy

Method of tumor volume evaluation using magnetic resonance imaging for outcome prediction in cervical cancer treated with concurrent chemotherapy and radiotherapy
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DOI:
10.3857/roj.2012.30.2.70
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发表时间:
2012-06-01
影响因子:
2.3
通讯作者:
Kim, Woochul
Kim, Woochul
中科院分区:
其他
文献类型:
--
作者:
Kim, Hun Jung;Kim, Woochul

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目的:评估肿瘤形状的模式,并比较简单的基于直径的椭球体测量得出的肿瘤体积与使用基于感兴趣区域(ROI)的3D体积测量跟踪整个肿瘤轮廓得出的肿瘤体积,以预测同时接受化疗和放疗的宫颈癌患者的预后。材料和方法:对98例宫颈癌(IB-IIIB期)患者进行了磁共振成像。肿瘤形状分为两类:椭圆形和非椭圆形。基于ROI的容积法来自工作站上的每个磁共振切片。对于基于直径的替代物“椭球体积”,测量三个正交直径以计算作为椭球体积。结果:超过一半(55.1%)的肿瘤具有非椭球构型。两个体积组的结局预测一致,使用ROI和基于直径的测量,小肿瘤(= 40 mL)的总生存率分别为93.6%和87.7%。ROI法和直径法无瘤生存率分别为93.8%和90.6%,54.3%和62.7%,13.7%和10.3%。大小组之间的结果差异有统计学意义,并预测的肿瘤体积通过两种不同的methods.Conclusion结果的差异:我们的数据表明,大量的宫颈癌是不是椭圆形。然而,简单的基于直径的肿瘤体积测量似乎是有用的,与基于ROI的体积测定法相比,用于预测宫颈癌患者的预后。
Purpose: To evaluate the patterns of tumor shape and to compare tumor volume derived from simple diameter-based ellipsoid measurement with that derived from tracing the entire tumor contour using region of interest (ROI)-based 3D volumetry with respect to the prediction outcome in cervical cancer patients treated with concurrent chemotherapy and radiotherapy.Materials and Methods: Magnetic resonance imaging was performed in 98 patients with cervical cancer (stage IB-IIIB). The tumor shape was classified into two categories: ellipsoid and non-ellipsoid shape. ROI-based volumetry was derived from each magnetic resonance slice on the work station. For the diameter-based surrogate "ellipsoid volume," the three orthogonal diameters were measured to calculate volume as an ellipsoid.Results: The more than half of tumor (55.1%) had a non-ellipsoid configuration. The predictions for outcome were consistent between two volume groups, with overall survival of 93.6% and 87.7% for small tumor (= 40 mL) using ROI and diameter based measurement, respectively. Disease-free survival was 93.8% and 90.6% for small tumor, 54.3% and 62.7% for intermediate-size tumor, and 13.7% and 10.3% for large tumor using ROI and diameter based method, respectively. Differences in outcome between size groups were statistically significant, and the differences in outcome predicted by the tumor volume by two different methods.Conclusion: Our data suggested that large numbers of cervical cancers are not ellipsoid. However, simple diameter-based tumor volume measurement appears to be useful in comparison with ROI-based volumetry for predicting outcome in cervical cancer patients.