A radiomics-based model for predicting prognosis of locally advanced gastric cancer in the preoperat...
A radiomics-based model for predicting prognosis of locally advanced gastric cancer in the preoperative setting
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Publisher
London: Nature Publishing Group UK
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Language
English
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Publisher
London: Nature Publishing Group UK
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Contents
This study aims to evaluate the performance of a radiomic signature-based model for predicting recurrence-free survival (RFS) of locally advanced gastric cancer (LAGC) using preoperative contrast-enhanced CT. This retrospective study included a training cohort (349 patients) and an external validation cohort (61 patients) who underwent curative res...
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Full title
A radiomics-based model for predicting prognosis of locally advanced gastric cancer in the preoperative setting
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TN_cdi_doaj_primary_oai_doaj_org_article_5a31cc85865d48f381b17c8ea5403991
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_5a31cc85865d48f381b17c8ea5403991
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ISSN
2045-2322
E-ISSN
2045-2322
DOI
10.1038/s41598-021-81408-z
