Literature DB >> 33652647

Radiogenomics in Colorectal Cancer.

Bogdan Badic1, Florent Tixier1, Catherine Cheze Le Rest1,2, Mathieu Hatt1, Dimitris Visvikis1.   

Abstract

The steady improvement of high-throughput technologies greatly facilitates the implementation of personalized precision medicine. Characterization of tumor heterogeneity through image-derived features-radiomics and genetic profile modifications-genomics, is a rapidly evolving field known as radiogenomics. Various radiogenomics studies have been dedicated to colorectal cancer so far, highlighting the potential of these approaches to enhance clinical decision-making. In this review, a general outline of colorectal radiogenomics literature is provided, discussing the current limitations and suggested further developments.

Entities:  

Keywords:  deep learning; genomics; machine learning; oncologic imaging; radiogenomics

Year:  2021        PMID： 33652647     DOI： 10.3390/cancers13050973

Source DB:  PubMed          Journal:  Cancers (Basel)        ISSN： 2072-6694            Impact factor:   6.639


  4 in total

Review 1.  Artificial Intelligence Predictive Models of Response to Cytotoxic Chemotherapy Alone or Combined to Targeted Therapy for Metastatic Colorectal Cancer Patients: A Systematic Review and Meta-Analysis.

Authors:  Valentina Russo; Eleonora Lallo; Armelle Munnia; Miriana Spedicato; Luca Messerini; Romina D'Aurizio; Elia Giuseppe Ceroni; Giulia Brunelli; Antonio Galvano; Antonio Russo; Ida Landini; Stefania Nobili; Marcello Ceppi; Marco Bruzzone; Fabio Cianchi; Fabio Staderini; Mario Roselli; Silvia Riondino; Patrizia Ferroni; Fiorella Guadagni; Enrico Mini; Marco Peluso
Journal:  Cancers (Basel)       Date:  2022-08-19       Impact factor: 6.575

2.  Multi-Parameter MR Radiomics Based Model to Predict 5-Year Progression-Free Survival in Endometrial Cancer.

Authors:  Defeng Liu; Linsha Yang; Dan Du; Tao Zheng; Lanxiang Liu; Zhanqiu Wang; Juan Du; Yanchao Dong; Huiling Yi; Yujie Cui
Journal:  Front Oncol       Date:  2022-03-31       Impact factor: 6.244

3.  A radiogenomics biomarker based on immunological heterogeneity for non-invasive prognosis of renal clear cell carcinoma.

Authors:  Jiahao Gao; Fangdie Ye; Fang Han; Haowen Jiang; Jiawen Zhang
Journal:  Front Immunol       Date:  2022-09-13       Impact factor: 8.786

Review 4.  Applications of Artificial Intelligence in Screening, Diagnosis, Treatment, and Prognosis of Colorectal Cancer.

Authors:  Hang Qiu; Shuhan Ding; Jianbo Liu; Liya Wang; Xiaodong Wang
Journal:  Curr Oncol       Date:  2022-03-07       Impact factor: 3.677
  4 in total

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