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Radiogenomics for predicting p53 status, PD-L1 expression, and prognosis with machine learning in pa...

Radiogenomics for predicting p53 status, PD-L1 expression, and prognosis with machine learning in pa...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_7555500

Radiogenomics for predicting p53 status, PD-L1 expression, and prognosis with machine learning in pancreatic cancer

About this item

Full title

Radiogenomics for predicting p53 status, PD-L1 expression, and prognosis with machine learning in pancreatic cancer

Publisher

London: Nature Publishing Group UK

Journal title

British journal of cancer, 2020-10, Vol.123 (8), p.1253-1261

Language

English

Formats

Publication information

Publisher

London: Nature Publishing Group UK

More information

Scope and Contents

Contents

Background
Radiogenomics is an emerging field that integrates “Radiomics” and “Genomics”. In the current study, we aimed to predict the genetic information of pancreatic tumours in a simple, inexpensive, and non-invasive manner, using cancer imaging analysis and radiogenomics. We focused on p53 mutations, which are highly implicated in pancreati...

Alternative Titles

Full title

Radiogenomics for predicting p53 status, PD-L1 expression, and prognosis with machine learning in pancreatic cancer

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_7555500

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_7555500

Other Identifiers

ISSN

0007-0920

E-ISSN

1532-1827

DOI

10.1038/s41416-020-0997-1

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