Literature DB >> 29095543

Background, current role, and potential applications of radiogenomics.

Katja Pinker1,2, Fuki Shitano3, Evis Sala3, Richard K Do3, Robert J Young4, Andreas G Wibmer5, Hedvig Hricak5, Elizabeth J Sutton1, Elizabeth A Morris1.   

Abstract

With the genomic revolution in the early 1990s, medical research has been driven to study the basis of human disease on a genomic level and to devise precise cancer therapies tailored to the specific genetic makeup of a tumor. To match novel therapeutic concepts conceived in the era of precision medicine, diagnostic tests must be equally sufficient, multilayered, and complex to identify the relevant genetic alterations that render cancers susceptible to treatment. With significant advances in training and medical imaging techniques, image analysis and the development of high-throughput methods to extract and correlate multiple imaging parameters with genomic data, a new direction in medical research has emerged. This novel approach has been termed radiogenomics. Radiogenomics aims to correlate imaging characteristics (ie, the imaging phenotype) with gene expression patterns, gene mutations, and other genome-related characteristics and is designed to facilitate a deeper understanding of tumor biology and capture the intrinsic tumor heterogeneity. Ultimately, the goal of radiogenomics is to develop imaging biomarkers for outcome that incorporate both phenotypic and genotypic metrics. Due to the noninvasive nature of medical imaging and its ubiquitous use in clinical practice, the field of radiogenomics is rapidly evolving and initial results are encouraging. In this article, we briefly discuss the background and then summarize the current role and the potential of radiogenomics in brain, liver, prostate, gynecological, and breast tumors. LEVEL OF EVIDENCE: 5 Technical Efficacy: Stage 2 J. Magn. Reson. Imaging 2017;47:604-620.
© 2017 International Society for Magnetic Resonance in Medicine.

Entities:  

Keywords:  brain; breast; gynecological cancer; liver; prostate; radiogenomics; radiomics

Mesh:

Year:  2017        PMID: 29095543      PMCID: PMC5916793          DOI: 10.1002/jmri.25870

Source DB:  PubMed          Journal:  J Magn Reson Imaging        ISSN: 1053-1807            Impact factor:   4.813


  147 in total

1.  Intratumoral heterogeneity of the distribution of kinetic parameters in breast cancer: comparison based on the molecular subtypes of invasive breast cancer.

Authors:  Ken Yamaguchi; Hiroyuki Abe; Gillian M Newstead; Ryoko Egashira; Takahiko Nakazono; Takeshi Imaizumi; Hiroyuki Irie
Journal:  Breast Cancer       Date:  2014-01-09       Impact factor: 4.239

2.  Whole-liver CT texture analysis in colorectal cancer: Does the presence of liver metastases affect the texture of the remaining liver?

Authors:  Sheng-Xiang Rao; Doenja Mj Lambregts; Roald S Schnerr; Wenzel van Ommen; Thiemo Ja van Nijnatten; Milou H Martens; Luc A Heijnen; Walter H Backes; Cornelis Verhoef; Meng-Su Zeng; Geerard L Beets; Regina Gh Beets-Tan
Journal:  United European Gastroenterol J       Date:  2014-12       Impact factor: 4.623

3.  Multiregional Radiogenomic Assessment of Prostate Microenvironments with Multiparametric MR Imaging and DNA Whole-Exome Sequencing of Prostate Glands with Adenocarcinoma.

Authors:  Neema Jamshidi; Daniel J Margolis; Steven Raman; Jiaoti Huang; Robert E Reiter; Michael D Kuo
Journal:  Radiology       Date:  2017-04-28       Impact factor: 11.105

4.  Radiogenomics: what it is and why it is important.

Authors:  Maciej A Mazurowski
Journal:  J Am Coll Radiol       Date:  2015-08       Impact factor: 5.532

5.  Haralick textural features on T2 -weighted MRI are associated with biochemical recurrence following radiotherapy for peripheral zone prostate cancer.

Authors:  Khémara Gnep; Auréline Fargeas; Ricardo E Gutiérrez-Carvajal; Frédéric Commandeur; Romain Mathieu; Juan D Ospina; Yan Rolland; Tanguy Rohou; Sébastien Vincendeau; Mathieu Hatt; Oscar Acosta; Renaud de Crevoisier
Journal:  J Magn Reson Imaging       Date:  2016-06-27       Impact factor: 4.813

6.  Radiogenomics to characterize regional genetic heterogeneity in glioblastoma.

Authors:  Leland S Hu; Shuluo Ning; Jennifer M Eschbacher; Leslie C Baxter; Nathan Gaw; Sara Ranjbar; Jonathan Plasencia; Amylou C Dueck; Sen Peng; Kris A Smith; Peter Nakaji; John P Karis; C Chad Quarles; Teresa Wu; Joseph C Loftus; Robert B Jenkins; Hugues Sicotte; Thomas M Kollmeyer; Brian P O'Neill; William Elmquist; Joseph M Hoxworth; David Frakes; Jann Sarkaria; Kristin R Swanson; Nhan L Tran; Jing Li; J Ross Mitchell
Journal:  Neuro Oncol       Date:  2016-08-08       Impact factor: 12.300

Review 7.  Role of MRI in the Risk Assessment of Primary Prostate Cancer.

Authors:  Andreas Wibmer; Sadhna Verma; Hebert A Vargas
Journal:  Top Magn Reson Imaging       Date:  2016-06

Review 8.  Biomedical applications of sodium MRI in vivo.

Authors:  Guillaume Madelin; Ravinder R Regatte
Journal:  J Magn Reson Imaging       Date:  2013-05-30       Impact factor: 4.813

9.  Radiogenomic mapping of edema/cellular invasion MRI-phenotypes in glioblastoma multiforme.

Authors:  Pascal O Zinn; Bhanu Mahajan; Bhanu Majadan; Pratheesh Sathyan; Sanjay K Singh; Sadhan Majumder; Ferenc A Jolesz; Rivka R Colen
Journal:  PLoS One       Date:  2011-10-05       Impact factor: 3.240

10.  "Textural analysis of multiparametric MRI detects transition zone prostate cancer".

Authors:  Harbir S Sidhu; Salvatore Benigno; Balaji Ganeshan; Nikos Dikaios; Edward W Johnston; Clare Allen; Alex Kirkham; Ashley M Groves; Hashim U Ahmed; Mark Emberton; Stuart A Taylor; Steve Halligan; Shonit Punwani
Journal:  Eur Radiol       Date:  2016-09-12       Impact factor: 5.315

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  46 in total

1.  Contrast-Enhanced Mammography and Radiomics Analysis for Noninvasive Breast Cancer Characterization: Initial Results.

Authors:  Maria Adele Marino; Katja Pinker; Doris Leithner; Janice Sung; Daly Avendano; Elizabeth A Morris; Maxine Jochelson
Journal:  Mol Imaging Biol       Date:  2020-06       Impact factor: 3.488

2.  Radiogenomics of rectal adenocarcinoma in the era of precision medicine: A pilot study of associations between qualitative and quantitative MRI imaging features and genetic mutations.

Authors:  Natally Horvat; Harini Veeraraghavan; Raphael A Pelossof; Maria Clara Fernandes; Arshi Arora; Monika Khan; Michael Marco; Chin-Tung Cheng; Mithat Gonen; Jennifer S Golia Pernicka; Marc J Gollub; Julio Garcia-Aguillar; Iva Petkovska
Journal:  Eur J Radiol       Date:  2019-02-18       Impact factor: 3.528

Review 3.  The Continuing Evolution of Molecular Functional Imaging in Clinical Oncology: The Road to Precision Medicine and Radiogenomics (Part I).

Authors:  Tanvi Vaidya; Archi Agrawal; Shivani Mahajan; Meenakshi H Thakur; Abhishek Mahajan
Journal:  Mol Diagn Ther       Date:  2019-02       Impact factor: 4.074

Review 4.  CAD and AI for breast cancer-recent development and challenges.

Authors:  Heang-Ping Chan; Ravi K Samala; Lubomir M Hadjiiski
Journal:  Br J Radiol       Date:  2019-12-16       Impact factor: 3.039

Review 5.  Imaging signatures of glioblastoma molecular characteristics: A radiogenomics review.

Authors:  Anahita Fathi Kazerooni; Spyridon Bakas; Hamidreza Saligheh Rad; Christos Davatzikos
Journal:  J Magn Reson Imaging       Date:  2019-08-27       Impact factor: 4.813

6.  Non-invasive tumor decoding and phenotyping of cerebral gliomas utilizing multiparametric 18F-FET PET-MRI and MR Fingerprinting.

Authors:  Johannes Haubold; Aydin Demircioglu; Marcel Gratz; Martin Glas; Karsten Wrede; Ulrich Sure; Gerald Antoch; Kathy Keyvani; Mathias Nittka; Stephan Kannengiesser; Vikas Gulani; Mark Griswold; Ken Herrmann; Michael Forsting; Felix Nensa; Lale Umutlu
Journal:  Eur J Nucl Med Mol Imaging       Date:  2019-12-06       Impact factor: 9.236

7.  Renal cell carcinoma: predicting RUNX3 methylation level and its consequences on survival with CT features.

Authors:  Dongzhi Cen; Li Xu; Siwei Zhang; Zhiguang Chen; Yan Huang; Ziqi Li; Bo Liang
Journal:  Eur Radiol       Date:  2019-03-15       Impact factor: 5.315

Review 8.  Digital Analysis in Breast Imaging.

Authors:  Giovanna Negrão de Figueiredo; Michael Ingrisch; Eva Maria Fallenberg
Journal:  Breast Care (Basel)       Date:  2019-06-04       Impact factor: 2.860

Review 9.  Novel imaging techniques of rectal cancer: what do radiomics and radiogenomics have to offer? A literature review.

Authors:  Natally Horvat; David D B Bates; Iva Petkovska
Journal:  Abdom Radiol (NY)       Date:  2019-11

10.  Next-Generation Radiogenomics Sequencing for Prediction of EGFR and KRAS Mutation Status in NSCLC Patients Using Multimodal Imaging and Machine Learning Algorithms.

Authors:  Isaac Shiri; Hasan Maleki; Ghasem Hajianfar; Hamid Abdollahi; Saeed Ashrafinia; Mathieu Hatt; Habib Zaidi; Mehrdad Oveisi; Arman Rahmim
Journal:  Mol Imaging Biol       Date:  2020-08       Impact factor: 3.488

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