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首页> 外文期刊>European Journal of Nuclear Medicine and Molecular Imaging >Local and whole-body staging in patients with primary breast cancer: a comparison of one-step to two-step staging utilizing 18 F-FDG-PET/MRI
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Local and whole-body staging in patients with primary breast cancer: a comparison of one-step to two-step staging utilizing 18 F-FDG-PET/MRI

机译:原发性乳腺癌患者的局部和全身分期:利用18 F-FDG-PET / MRI进行一步到两步分期的比较

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摘要

Objectives The purpose of this study was to compare the diagnostic value of a one-step to a two-step staging algorithm utilizing_(18)F-FDG PET/MRI in breast cancer patients. Methods A total of 38 patients (37 females and one male, mean age 57?±?10?years; range 31–78?years) with newly diagnosed, histopathologically proven breast cancer were prospectively enrolled in this trial. All PET/MRI examinations were assessed for local tumor burden and metastatic spread in two separate reading sessions: (1) One-step algorithm comprising supine whole-body_(18)F-FDG PET/MRI, and (2) Two-step algorithm comprising a dedicated prone_(18)F-FDG breast PET/MRI and supine whole-body_(18)F-FDG PET/MRI. Results On a patient based analysis the two-step algorithm correctly identified 37 out of 38 patients with breast carcinoma (97%), while five patients were missed by the one-step_(18)F-FDG PET/MRI algorithm (33/38; 87% correct identification). On a lesion-based analysis 56 breast cancer lesions were detected in the two-step algorithm and 44 breast cancer lesions could be correctly identified in the one-step_(18)F-FDG PET/MRI (79%), resulting in statistically significant differences between the two algorithms ( p ?=?0.0015). For axillary lymph node evaluation sensitivity, specificity and accuracy was 93%, 95 and 94%, respectively. Furthermore, distant metastases could be detected in seven patients in both algorithms. Conclusion The results demonstrate the necessity and superiority of a two-step_(18)F-FDG PET/MRI algorithm, comprising dedicated prone breast imaging and supine whole-body imaging, when compared to the one-step algorithm for local and whole-body staging in breast cancer patients.
机译:目的本研究的目的是将一步到两步分期算法的诊断值与乳腺癌患者中使用的两步分期算法进行比较。方法共有38名患者(37名女性和一个男性,平均57岁(57岁),新诊断的组织病理学上经过新诊断的组织病理学证明的乳腺癌,患有新诊断的组织病理学证明的乳腺癌。评估所有PET / MRI检查的局部肿瘤负担和转移性分布在两个单独的读取会话中:(1)包括仰卧整体_(18)F-FDG PET / MRI的一步算法,以及(2)两步算法包括专用PrONE_(18)F-FDG乳腺PET / MRI和仰卧整体 - F-FORD_(18)F-FDG PET / MRI。结果基于患者的分析,两步算法正确鉴定了38例乳腺癌(97%)中的37例,而一步_(18)F-FDG PET / MRI算法错过了五名患者(33/38 ; 87%正确的识别)。在基于病变的分析中,在两步算法中检测到56乳腺癌病变,并且在一步(18)F-FDG PET / MRI(79%)中可以正确识别44例乳腺癌病变,导致统计学意义两种算法之间的差异(p?= 0.0015)。对于腋窝淋巴结评估敏感性,特异性和准确性分别为93%,95和94%。此外,可以在两个算法中在七名患者中检测到远处转移。结论结果表明,与本地和全身的一步算法相比,包括专用易于乳房成像和仰卧整体成像的必要性和优越性。乳腺癌患者分期。

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  • 作者单位

    Department of Diagnostic and Interventional Radiology Medical Faculty University Dusseldorf;

    Department of Diagnostic and Interventional Radiology and Neuroradiology University Hospital Essen;

    Department of Diagnostic and Interventional Radiology Medical Faculty University Dusseldorf;

    High-Field and Hybrid MR Imaging University Hospital Essen;

    High-Field and Hybrid MR Imaging University Hospital Essen;

    Department of Gynecology and Obstetrics University Hospital Essen University of Duisburg-Essen;

    Department of Gynecology and Obstetrics University Hospital Essen University of Duisburg-Essen;

    Institute of Pathology University Hospital Essen West German Cancer Center University Duisburg;

    Abdominal Imaging and Martinos Center for Biomedical Imaging Massachusetts General Hospital;

    Department of Diagnostic and Interventional Radiology Medical Faculty University Dusseldorf;

    Department of Diagnostic and Interventional Radiology Medical Faculty University Dusseldorf;

    Department of Diagnostic and Interventional Radiology and Neuroradiology University Hospital Essen;

    Department of Diagnostic and Interventional Radiology Medical Faculty University Dusseldorf;

    Department of Nuclear Medicine University Hospital Essen University of Duisburg-Essen;

    Department of Diagnostic and Interventional Radiology and Neuroradiology University Hospital Essen;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 放射医学;
  • 关键词

    PET/MRI; Supine breast PET/MRI; Local breast staging;

    机译:PET / MRI;仰卧乳房宠物/ MRI;当地乳房分期;

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