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首页> 外文期刊>Annals of Nuclear Medicine >Diagnostic performance of CT, PET, side-by-side, and fused image interpretations for restaging of non-Hodgkin lymphoma
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Diagnostic performance of CT, PET, side-by-side, and fused image interpretations for restaging of non-Hodgkin lymphoma

机译：CT，PET，并排和融合图像解释对非霍奇金淋巴瘤重诊的诊断性能

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摘要

The purpose of this study was to compare the diagnostic performance of positron emission tomography (PET) alone, computed tomography (CT) alone, side-by-side reading, and fused images for restaging or follow-up of patients with malignant lymphoma.
机译：这项研究的目的是比较单独的正电子发射断层扫描（PET），单独的计算机断层扫描（CT），并排阅读和融合图像对恶性淋巴瘤患者的再分期或随访的诊断性能。

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  • 来源
    《Annals of Nuclear Medicine》 |2007年第4期|189-196|共8页
  • 作者

    Munenobu Nogami; Yuji Nakamoto; Setsu Sakamoto; Kazuto Fukushima; Tomohisa Okada; Tsuneo Saga; Tatsuya Higashi; Michio Senda; Toshimitsu Matsui; Kazuro Sugimura;

  • 作者单位

    Department of Radiology Kobe University Graduate School of Medicine 7-5-2 Kusunoki-cho Chuo-ku Kobe 650-0017 Japan;

    Department of Diagnostic Imaging and Nuclear Medicine Kyoto University Graduate School of Medicine Kyoto Japan;

    Department of Radiology Kobe University Graduate School of Medicine 7-5-2 Kusunoki-cho Chuo-ku Kobe 650-0017 Japan;

    Department of Nuclear Medicine National Cardiovascular Center Osaka Japan;

    Department of Radiology Kobe City General Hospital Kobe Japan;

    Department of Diagnostic Imaging and Nuclear Medicine Kyoto University Graduate School of Medicine Kyoto Japan;

    Department of Diagnostic Imaging and Nuclear Medicine Kyoto University Graduate School of Medicine Kyoto Japan;

    Department of Image-Based Medicine Institute of Biomedical Research and Innovation Kobe Japan;

    Division of Hematology/Oncology Department of Medicine Kobe University School of Medicine Kobe Japan;

    Department of Radiology Kobe University Graduate School of Medicine 7-5-2 Kusunoki-cho Chuo-ku Kobe 650-0017 Japan;

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  • 原文格式 PDF
  • 正文语种 eng
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  • 关键词

    CT; PET; Lymphoma; Image fusion;

    机译：CT;PET;淋巴瘤;图像融合;
  • 入库时间 2022-08-18 00:01:58

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