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Computed Tomography-Based Radiomics Using Tumor and Vessel Features to Assess Resectability in Cance...

Computed Tomography-Based Radiomics Using Tumor and Vessel Features to Assess Resectability in Cance...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_613dd6d9f9df4eaaad2aa88fc6f162ce

Computed Tomography-Based Radiomics Using Tumor and Vessel Features to Assess Resectability in Cancer of the Pancreatic Head

About this item

Full title

Computed Tomography-Based Radiomics Using Tumor and Vessel Features to Assess Resectability in Cancer of the Pancreatic Head

Publisher

Basel: MDPI AG

Journal title

Diagnostics (Basel), 2023-10, Vol.13 (20), p.3198

Language

English

Formats

Publication information

Publisher

Basel: MDPI AG

More information

Scope and Contents

Contents

The preoperative prediction of resectability pancreatic ductal adenocarcinoma (PDAC) is challenging. This retrospective single-center study examined tumor and vessel radiomics to predict the resectability of PDAC in chemo-naïve patients. The tumor and adjacent arteries and veins were segmented in the portal-venous phase of contrast-enhanced CT scan...

Alternative Titles

Full title

Computed Tomography-Based Radiomics Using Tumor and Vessel Features to Assess Resectability in Cancer of the Pancreatic Head

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_613dd6d9f9df4eaaad2aa88fc6f162ce

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_613dd6d9f9df4eaaad2aa88fc6f162ce

Other Identifiers

ISSN

2075-4418

E-ISSN

2075-4418

DOI

10.3390/diagnostics13203198

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