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Pretreatment prediction of immunoscore in hepatocellular cancer: a radiomics-based clinical model ba...

Pretreatment prediction of immunoscore in hepatocellular cancer: a radiomics-based clinical model ba...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2169129288

Pretreatment prediction of immunoscore in hepatocellular cancer: a radiomics-based clinical model based on Gd-EOB-DTPA-enhanced MRI imaging

About this item

Full title

Pretreatment prediction of immunoscore in hepatocellular cancer: a radiomics-based clinical model based on Gd-EOB-DTPA-enhanced MRI imaging

Publisher

Berlin/Heidelberg: Springer Berlin Heidelberg

Journal title

European radiology, 2019-08, Vol.29 (8), p.4177-4187

Language

English

Formats

Publication information

Publisher

Berlin/Heidelberg: Springer Berlin Heidelberg

More information

Scope and Contents

Contents

Objectives
Immunoscore evaluates the density of CD3+ and CD8+ T cells in both the tumor core and invasive margin. Pretreatment prediction of immunoscore in hepatocellular cancer (HCC) is important for precision immunotherapy. We aimed to develop a radiomics model based on gadolinium-ethoxybenzyl-diethylenetriamine (Gd-EOB-DTPA)-enhanced MRI for...

Alternative Titles

Full title

Pretreatment prediction of immunoscore in hepatocellular cancer: a radiomics-based clinical model based on Gd-EOB-DTPA-enhanced MRI imaging

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_2169129288

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2169129288

Other Identifiers

ISSN

0938-7994

E-ISSN

1432-1084

DOI

10.1007/s00330-018-5986-x

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