echemi logo
Product
  • Product
  • Supplier
  • Inquiry
    Home > Active Ingredient News > Antitumor Therapy > Eur Radiol: The influence of CT slice thickness in radiomics model in predicting survival rate of non-small cell lung cancer

    Eur Radiol: The influence of CT slice thickness in radiomics model in predicting survival rate of non-small cell lung cancer

    • Last Update: 2021-03-19
    • Source: Internet
    • Author: User
    Search more information of high quality chemicals, good prices and reliable suppliers, visit www.echemi.com

    Non-small-cell lung cancer ( NSCLC ) has significant pathological, genetic and cellular heterogeneity, so the prognosis of patients varies greatly.


    NSCLC

    In this regard, radioomics technology that uses high-dimensional quantitative features extracted from imaging data is a good choice.



    Recently, a study published in European Radiology used different CT slice thickness to evaluate the prognosis of NSCLC patients, and explored whether CT slice thickness will affect the performance of the radiomic prognostic model of NSCLC patients.


    This study included 311 patients who underwent NSCLC surgical resection between May 2014 and December 2015, and the CT images of each patient with 1, 3, and 5 mm slice thicknesses were evaluated.


    On the corresponding layer thickness data set, the c index of the development set Rad1, Rad3 and Rad5 predicted DFS are 0.


    Table 1 In the development set, three radioomics models with different layer thicknesses are used to predict the performance of DFS.


    Table 2 In the validation set, three radioomics models with different layer thicknesses are used to predict the performance of DFS.


    CT layer thickness has no significant impact on the performance of the radiomic model for predicting DFS in patients with non-small cell lung cancer.



    Original source:

    Original source:

    Sohee Park,Sang Min Lee,Seonok Kim,et al.


    Sohee Park,Sang Min Lee,Seonok Kim,et al.
    Performance of radiomics models for survival prediction in non-small-cell lung cancer: influence of CT slice thickness.
    DOI: org/10.
    1007/s00330-020-07423-2">10.
    1007/s00330-020-07423-2org/10.
    1007/s00330-020-07423-2"> 10.
    1007/s00330- 020-07423-2 Leave a message here
    This article is an English version of an article which is originally in the Chinese language on echemi.com and is provided for information purposes only. This website makes no representation or warranty of any kind, either expressed or implied, as to the accuracy, completeness ownership or reliability of the article or any translations thereof. If you have any concerns or complaints relating to the article, please send an email, providing a detailed description of the concern or complaint, to service@echemi.com. A staff member will contact you within 5 working days. Once verified, infringing content will be removed immediately.

    Contact Us

    The source of this page with content of products and services is from Internet, which doesn't represent ECHEMI's opinion. If you have any queries, please write to service@echemi.com. It will be replied within 5 days.

    Moreover, if you find any instances of plagiarism from the page, please send email to service@echemi.com with relevant evidence.