Prediction of serosal invasion in gastric cancer: development and validation of multivariate models...
Prediction of serosal invasion in gastric cancer: development and validation of multivariate models integrating preoperative clinicopathological features and radiographic findings based on late arterial phase CT images
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London: BioMed Central Ltd
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English
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London: BioMed Central Ltd
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Background To develop and validate multivariate models integrating endoscopic biopsy, tumor markers, and CT findings based on late arterial phase (LAP) to predict serosal invasion in gastric cancer (GC). Methods The preoperative differentiation degree, tumor markers, CT morphological characteristics, and CT value-related and texture parameters of 1...
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Prediction of serosal invasion in gastric cancer: development and validation of multivariate models integrating preoperative clinicopathological features and radiographic findings based on late arterial phase CT images
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TN_cdi_doaj_primary_oai_doaj_org_article_bbc2f3f3aca54d2795f810bc4b1ee92c
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_bbc2f3f3aca54d2795f810bc4b1ee92c
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ISSN
1471-2407
E-ISSN
1471-2407
DOI
10.1186/s12885-021-08672-0
