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Sensitivity and Specificity of Positron Emission Tomography (PET) for the Diagnosis of Lymph Node Metastases

  • Conference paper
Lymphatic Metastasis and Sentinel Lymphonodectomy

Part of the book series: Recent Results in Cancer Research ((RECENTCANCER,volume 157))

Abstract

The introduction of Positron Emission Tomography (PET) and the use of the glucose analog F-18-Deoxyglucose (FDG) can help to improve the sensitivity of the diagnosis of lymph node metastases. Sensitivity exceeding 90% can be achieved when advanced imaging protocols and image reconstruction methods are used for PET. Superior staging information is obtained with PET as compared to morphological imaging methods for the most frequent tumor types. The accuracy of N-staging can be significantly improved by adding PET to the pretherapeutic diagnostic procedures. Limitations exist with regard to false positive results. Acute or chronic inflammation as well as unspecific reactions following radiotherapy may mimic tumor tissue.

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Author information

Authors and Affiliations

  1. Medical PET Group—Biological Imaging (E0105), German Cancer Research Center, Im Neuenheimer Feld 280, 69120, Heidelberg, Germany

    L. G. Strauss

Authors
  1. L. G. Strauss
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Editor information

Editors and Affiliations

  1. Klinik für Chirurgie und chirurgische Onkologie Robert-Rössle-Klinik, Universitätsklinikum Charité, Lindenberger Weg 80, 13122, Berlin, Germany

    Peter M. Schlag

  2. Istituto Europeo di Oncologia, Via Ripamonti 435, 20141, Milano, Italy

    Umberto Veronesi MD, PhD.

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© 2000 Springer-Verlag Berlin Heidelberg

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Strauss, L.G. (2000). Sensitivity and Specificity of Positron Emission Tomography (PET) for the Diagnosis of Lymph Node Metastases. In: Schlag, P.M., Veronesi, U. (eds) Lymphatic Metastasis and Sentinel Lymphonodectomy. Recent Results in Cancer Research, vol 157. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-57151-0_2

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  • DOI: https://doi.org/10.1007/978-3-642-57151-0_2

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-63070-5

  • Online ISBN: 978-3-642-57151-0

  • eBook Packages: Springer Book Archive

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