Radiogenomics: bridging imaging and genomics

From diagnostics to prognosis to response prediction, new applications for radiomics are rapidly being developed. One of the fastest evolving branches involves linking imaging phenotypes to the tumor genetic profile, a field commonly referred to as “radiogenomics.” In this review, a general outline...

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Published inAbdominal imaging Vol. 44; no. 6; pp. 1960 - 1984
Main Authors Bodalal, Zuhir, Trebeschi, Stefano, Nguyen-Kim, Thi Dan Linh, Schats, Winnie, Beets-Tan, Regina
Format Journal Article
LanguageEnglish
Published New York Springer US 01.06.2019
Springer Nature B.V
Subjects
Biological evolution
Brain cancer
Breast cancer
CME articles
Colorectal cancer
Gastroenterology
Hepatology
Image processing
Imaging
Kidney cancer
Liver cancer
Medicine
Medicine & Public Health
Mutation
Phenotypes
Prostate cancer
Radiology
Radiomics
Special Section: Radiogenomics
Tumors
Genomics
Prostate neoplasms
Brain neoplasms
Quantitative imaging
Breast neoplasms
Colorectal neoplasms
Radiogenomics
Liver neoplasms
Radiomics
Lung neoplasms
Kidney neoplasms
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Abstract From diagnostics to prognosis to response prediction, new applications for radiomics are rapidly being developed. One of the fastest evolving branches involves linking imaging phenotypes to the tumor genetic profile, a field commonly referred to as “radiogenomics.” In this review, a general outline of radiogenomic literature concerning prominent mutations across different tumor sites will be provided. The field of radiogenomics originates from image processing techniques developed decades ago; however, many technical and clinical challenges still need to be addressed. Nevertheless, increasingly accurate and robust radiogenomic models are being presented and the future appears to be bright.
AbstractList From diagnostics to prognosis to response prediction, new applications for radiomics are rapidly being developed. One of the fastest evolving branches involves linking imaging phenotypes to the tumor genetic profile, a field commonly referred to as "radiogenomics." In this review, a general outline of radiogenomic literature concerning prominent mutations across different tumor sites will be provided. The field of radiogenomics originates from image processing techniques developed decades ago; however, many technical and clinical challenges still need to be addressed. Nevertheless, increasingly accurate and robust radiogenomic models are being presented and the future appears to be bright.
From diagnostics to prognosis to response prediction, new applications for radiomics are rapidly being developed. One of the fastest evolving branches involves linking imaging phenotypes to the tumor genetic profile, a field commonly referred to as "radiogenomics." In this review, a general outline of radiogenomic literature concerning prominent mutations across different tumor sites will be provided. The field of radiogenomics originates from image processing techniques developed decades ago; however, many technical and clinical challenges still need to be addressed. Nevertheless, increasingly accurate and robust radiogenomic models are being presented and the future appears to be bright.From diagnostics to prognosis to response prediction, new applications for radiomics are rapidly being developed. One of the fastest evolving branches involves linking imaging phenotypes to the tumor genetic profile, a field commonly referred to as "radiogenomics." In this review, a general outline of radiogenomic literature concerning prominent mutations across different tumor sites will be provided. The field of radiogenomics originates from image processing techniques developed decades ago; however, many technical and clinical challenges still need to be addressed. Nevertheless, increasingly accurate and robust radiogenomic models are being presented and the future appears to be bright.
Author Nguyen-Kim, Thi Dan Linh
Trebeschi, Stefano
Schats, Winnie
Beets-Tan, Regina
Bodalal, Zuhir
Author_xml – sequence: 1
  givenname: Zuhir
  orcidid: 0000-0002-2617-8128
  surname: Bodalal
  fullname: Bodalal, Zuhir
  organization: Department of Radiology, The Netherlands Cancer Institute, GROW School for Oncology and Developmental Biology, Maastricht University
– sequence: 2
  givenname: Stefano
  orcidid: 0000-0002-5714-289X
  surname: Trebeschi
  fullname: Trebeschi, Stefano
  organization: Department of Radiology, The Netherlands Cancer Institute, GROW School for Oncology and Developmental Biology, Maastricht University
– sequence: 3
  givenname: Thi Dan Linh
  orcidid: 0000-0001-9888-0453
  surname: Nguyen-Kim
  fullname: Nguyen-Kim, Thi Dan Linh
  organization: Department of Radiology, The Netherlands Cancer Institute, GROW School for Oncology and Developmental Biology, Maastricht University, Institute of Diagnostic and Interventional Radiology, University Hospital Zurich
– sequence: 4
  givenname: Winnie
  orcidid: 0000-0003-1470-9515
  surname: Schats
  fullname: Schats, Winnie
  organization: Scientific Information Service, The Netherlands Cancer Institute
– sequence: 5
  givenname: Regina
  surname: Beets-Tan
  fullname: Beets-Tan, Regina
  email: r.beetstan@nki.nl
  organization: Department of Radiology, The Netherlands Cancer Institute, GROW School for Oncology and Developmental Biology, Maastricht University
BackLink https://www.ncbi.nlm.nih.gov/pubmed/31049614$$D View this record in MEDLINE/PubMed
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Issue 6
Keywords Genomics
Prostate neoplasms
Brain neoplasms
Quantitative imaging
Breast neoplasms
Colorectal neoplasms
Radiogenomics
Liver neoplasms
Radiomics
Lung neoplasms
Kidney neoplasms
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PublicationTitle Abdominal imaging
PublicationTitleAbbrev Abdom Radiol
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Snippet From diagnostics to prognosis to response prediction, new applications for radiomics are rapidly being developed. One of the fastest evolving branches involves...
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SubjectTerms Biological evolution
Brain cancer
Breast cancer
CME articles
Colorectal cancer
Gastroenterology
Hepatology
Image processing
Imaging
Kidney cancer
Liver cancer
Medicine
Medicine & Public Health
Mutation
Phenotypes
Prostate cancer
Radiology
Radiomics
Special Section: Radiogenomics
Tumors
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Title Radiogenomics: bridging imaging and genomics
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