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首页> 外文期刊>Molecular imaging >Dual-Modality Monitoring of Tumor Response to Cyclophosphamide Therapy in Mice with Bioluminescence Imaging and Small-Animal Positron Emission Tomography
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Dual-Modality Monitoring of Tumor Response to Cyclophosphamide Therapy in Mice with Bioluminescence Imaging and Small-Animal Positron Emission Tomography

机译：生物发光成像和小动物正电子发射断层扫描技术对小鼠对环磷酰胺治疗的肿瘤反应的双模式监测。

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摘要

The purpose of this study was to noninvasively monitor the therapeutic efficacy of cyclophosphamide (CTX) in a mouse model by dual-modality molecular imaging: positron emission tomography (PET) and bioluminescence imaging (BLI). Firefly luciferase (fLuc) transfected HCC-LM3-fLuc human hepatocellular carcinoma cells were injected subcutaneously into BALB/c nude mice to establish the experimental tumor model. Two groups of HCC-LM3-fLuc tumor-bearing mice (n = 7 per group) were treated with saline or CTX (100 mg/kg on days 0,2, 5, and 7). BLI and ~(18)F-fluorodeoxyglucose (~(18)F-FDG) PET scans were done to evaluate the treatment efficacy. CTX induced a 25.25 ± 13.13% and 35.91 ± 25.85% tumor growth inhibition rate on days 9 and 12 posttreatment, respectively, as determined by BLI. A good linear correlation was found between the tumor sizes measured by caliper and the BLI signals determined by optical imaging (R~2 = .9216). ~(18)F-FDG imaging revealed a significant uptake reduction in the tumors of the CTX-treated group compared to that in the saline control group (5.30 ± 1.97 vs 3.00 ± 2.11% ID/g) on day 16 after CTX treatment. Dual-modality molecular imaging using BLI and small-animal PET can play important roles in the process of chemotherapy and will provide noninvasive and reliable monitoring of the therapeutic response.
机译：这项研究的目的是通过双模式分子成像：正电子发射断层扫描（PET）和生物发光成像（BLI），无创地监测环磷酰胺（CTX）在小鼠模型中的治疗效果。将萤火虫荧光素酶（fLuc）转染的HCC-LM3-fLuc人肝癌细胞皮下注射到BALB / c裸鼠中，以建立实验性肿瘤模型。两组HCC-LM3-fLuc荷瘤小鼠（每组n = 7）分别用盐水或CTX（第0、2、5、7天100 mg / kg）治疗。进行BLI和〜（18）F-氟脱氧葡萄糖（〜（18）F-FDG）PET扫描以评估治疗效果。根据BLI的测定，CTX在治疗后第9天和第12天分别诱导25.25±13.13％和35.91±25.85％的肿瘤生长抑制率。通过卡尺测量的肿瘤大小和通过光学成像确定的BLI信号之间发现良好的线性相关性（R〜2 = .9216）。 〜（18）F-FDG成像显示，与CTX治疗后第16天的生理盐水对照组相比，CTX治疗组的肿瘤摄取明显减少（5.30±1.97 vs 3.00±2.11％ID / g）。使用BLI和小动物PET的双模式分子成像可以在化疗过程中发挥重要作用，并将提供无创且可靠的治疗反应监测。

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  • 来源
    《Molecular imaging》 |2011年第4期|p.278-283|共6页
  • 作者

    Xibo Ma; Zhaofei Liu; Xin Yang; Qiujuan Gao; Shouping Zhu; Chenghu Qin; Kai Liu; Bo Zhang; Dong Han; Fan Wang; Jie Tian;

  • 作者单位

    Medical Image Processing Group, Institute of Automation,Chinese Academy of Sciences, Beijing, China Medical Isotopes Research Center, Peking University, Beijing, China Sino-Dutch Biomedical and Information Engineering School of Northeastern, University,Shenyang, China;

    Medical Image Processing Group, Institute of Automation,Chinese Academy of Sciences, Beijing, China Medical Isotopes Research Center, Peking University, Beijing, China Sino-Dutch Biomedical and Information Engineering School of Northeastern, University,Shenyang, China;

    Medical Image Processing Group, Institute of Automation,Chinese Academy of Sciences, Beijing, China Medical Isotopes Research Center, Peking University, Beijing, China Sino-Dutch Biomedical and Information Engineering School of Northeastern, University,Shenyang, China;

    Medical Image Processing Group, Institute of Automation,Chinese Academy of Sciences, Beijing, China Medical Isotopes Research Center, Peking University, Beijing, China Sino-Dutch Biomedical and Information Engineering School of Northeastern, University,Shenyang, China;

    Medical Image Processing Group, Institute of Automation,Chinese Academy of Sciences, Beijing, China Medical Isotopes Research Center, Peking University, Beijing, China Sino-Dutch Biomedical and Information Engineering School of Northeastern, University,Shenyang, China;

    Medical Image Processing Group, Institute of Automation,Chinese Academy of Sciences, Beijing, China Medical Isotopes Research Center, Peking University, Beijing, China Sino-Dutch Biomedical and Information Engineering School of Northeastern, University,Shenyang, China;

    Medical Image Processing Group, Institute of Automation,Chinese Academy of Sciences, Beijing, China Medical Isotopes Research Center, Peking University, Beijing, China Sino-Dutch Biomedical and Information Engineering School of Northeastern, University,Shenyang, China;

    Medical Image Processing Group, Institute of Automation,Chinese Academy of Sciences, Beijing, China Medical Isotopes Research Center, Peking University, Beijing, China Sino-Dutch Biomedical and Information Engineering School of Northeastern, University,Shenyang, China;

    Medical Image Processing Group, Institute of Automation,Chinese Academy of Sciences, Beijing, China Medical Isotopes Research Center, Peking University, Beijing, China Sino-Dutch Biomedical and Information Engineering School of Northeastern, University,Shenyang, China;

    Medical Image Processing Group, Institute of Automation,Chinese Academy of Sciences, Beijing, China Medical Isotopes Research Center, Peking University, Beijing, China Sino-Dutch Biomedical and Information Engineering School of Northeastern, University,Shenyang, China;

    Medical Image Processing Group, Institute of Automation,Chinese Academy of Sciences, Beijing, China Medical Isotopes Research Center, Peking University, Beijing, China Sino-Dutch Biomedical and Information Engineering School of Northeastern, University,Shenyang, China;

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