Identifying Genetic Mutation Status in Patients with Colorectal Cancer Liver Metastases Using Radiom...
Identifying Genetic Mutation Status in Patients with Colorectal Cancer Liver Metastases Using Radiomics-Based Machine-Learning Models
About this item
Full title
Author / Creator
Wesdorp, Nina , Zeeuw, Michiel , van der Meulen, Delanie , van ‘t Erve, Iris , Bodalal, Zuhir , Roor, Joran , van Waesberghe, Jan Hein , Moos, Shira , van den Bergh, Janneke , Nota, Irene , van Dieren, Susan , Stoker, Jaap , Meijer, Gerrit , Swijnenburg, Rutger-Jan , Punt, Cornelis , Huiskens, Joost , Beets-Tan, Regina , Fijneman, Remond , Marquering, Henk , Kazemier, Geert and on behalf of the Dutch Colorectal Cancer Group Liver Expert Panel
Publisher
Switzerland: MDPI AG
Journal title
Language
English
Formats
Publication information
Publisher
Switzerland: MDPI AG
Subjects
More information
Scope and Contents
Contents
For patients with colorectal cancer liver metastases (CRLM), the genetic mutation status is important in treatment selection and prognostication for survival outcomes. This study aims to investigate the relationship between radiomics imaging features and the genetic mutation status (KRAS mutation versus no mutation) in a large multicenter dataset o...
Alternative Titles
Full title
Identifying Genetic Mutation Status in Patients with Colorectal Cancer Liver Metastases Using Radiomics-Based Machine-Learning Models
Authors, Artists and Contributors
Author / Creator
Zeeuw, Michiel
van der Meulen, Delanie
van ‘t Erve, Iris
Bodalal, Zuhir
Roor, Joran
van Waesberghe, Jan Hein
Moos, Shira
van den Bergh, Janneke
Nota, Irene
van Dieren, Susan
Stoker, Jaap
Meijer, Gerrit
Swijnenburg, Rutger-Jan
Punt, Cornelis
Huiskens, Joost
Beets-Tan, Regina
Fijneman, Remond
Marquering, Henk
Kazemier, Geert
on behalf of the Dutch Colorectal Cancer Group Liver Expert Panel
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_proquest_miscellaneous_2902942946
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_miscellaneous_2902942946
Other Identifiers
ISSN
2072-6694
E-ISSN
2072-6694
DOI
10.3390/cancers15235648
