IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0221062.html
   My bibliography  Save this article

Incorporation of shear wave elastography into a prediction model in the assessment of cervical lymph nodes

Author

Listed:
  • Wu-Chia Lo
  • Wan-Lun Hsu
  • Chi-Te Wang
  • Po-Wen Cheng
  • Li-Jen Liao

Abstract

Rationale and objectives: To assess the performance of shear wave elastography (SWE) and an extended model in predicting malignant cervical lymph nodes (LNs). Materials and methods: 109 patients who underwent ultrasound (US) and SWE before needle biopsy were enrolled. The optimal cutoff value of elasticity indices (EIs) was determined by receiver operating characteristic (ROC) curves. The c-statistic, net reclassification improvement (NRI) and integrated discrimination improvement (IDI) were used to compare extended model and traditional one. Results: Malignant LNs had higher EIs than benign nodes (p

Suggested Citation

  • Wu-Chia Lo & Wan-Lun Hsu & Chi-Te Wang & Po-Wen Cheng & Li-Jen Liao, 2019. "Incorporation of shear wave elastography into a prediction model in the assessment of cervical lymph nodes," PLOS ONE, Public Library of Science, vol. 14(8), pages 1-12, August.
    • Handle: RePEc:plo:pone00:0221062
    DOI: 10.1371/journal.pone.0221062
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0221062
    Download Restriction: no
    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0221062&type=printable
    Download Restriction: no
    File URL: https://libkey.io/10.1371/journal.pone.0221062?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:plo:pone00:0221062. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: plosone (email available below). General contact details of provider: https://journals.plos.org/plosone/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.