English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

Background and Purpose  Locally advanced rectal cancer (LARC) is a heterogeneous disease with little information about  KRAS  status and image features. The purpose of this study was to analyze the association between T2 magnetic resonance imaging (MRI) radiomics features and  KRAS  status in LARC patients.    Material and Methods  Eighty-three patients with  KRAS  status information and T2 MRI images between 2012.05 and 2019.09 were included. Least absolute shrinkage and selection operator (LASSO) regression was performed to assess the associations between features and gene status. The patients were divided 7:3 into training and validation sets. The C-index and the average area under the receiver operator characteristic curve (AUC) were used for performance evaluation.    Results  The clinical characteristics of 83 patients in the  KRAS  mutant and wild-type cohorts were balanced. Forty-two (50.6%) patients had  KRAS  mutations, and 41 (49.4%) patients had wild-type  KRAS . A total of 253 radiomics features were extracted from the T2-MRI images of LARC patients. One radiomic feature named X.LL_scaled_std, a standard deviation value of scaled wavelet-transformed low-pass channel filter, was selected from 253 features ( P =0.019). The radiomics-based C-index values were 0.801 (95% CI: 0.772-0.830) and 0.703 (95% CI: 0.620-0.786) in the training and validation sets, respectively.    Conclusion  Radiomics features could differentiate  KRAS  status in LARC patients based on T2-MRI images. Further validation in a larger dataset is necessary in the future.

MRI Radiomics Signature as a Potential Biomarker for Predicting KRAS Status in Locally Advanced Rectal Cancer Patients