Unravelling tumour heterogeneity using next-generation imaging: Radiomics, radiogenomics, and habitat imaging Journal Article

   


Authors: Sala, E.; Mema, E.; Himoto, Y.; Veeraraghavan, H.; Brenton, J. D.; Snyder, A.; Weigelt, B.; Vargas, H. A.
Article Title: Unravelling tumour heterogeneity using next-generation imaging: Radiomics, radiogenomics, and habitat imaging
Abstract: Tumour heterogeneity in cancers has been observed at the histological and genetic levels, and increased levels of intra-tumour genetic heterogeneity have been reported to be associated with adverse clinical outcomes. This review provides an overview of radiomics, radiogenomics, and habitat imaging, and examines the use of these newly emergent fields in assessing tumour heterogeneity and its implications. It reviews the potential value of radiomics and radiogenomics in assisting in the diagnosis of cancer disease and determining cancer aggressiveness. This review discusses how radiogenomic analysis can be further used to guide treatment therapy for individual tumours by predicting drug response and potential therapy resistance and examines its role in developing radiomics as biomarkers of oncological outcomes. Lastly, it provides an overview of the obstacles in these emergent fields today including reproducibility, need for validation, imaging analysis standardisation, data sharing and clinical translatability and offers potential solutions to these challenges towards the realisation of precision oncology. © 2016
Journal Title: Clinical Radiology
Volume: 72
Issue: 1
ISSN: 0009-9260
Publisher: W B Saunders Co Ltd  
Date Published: 2017-01-01
Start Page: 3
End Page: 10
Language: English
DOI: 10.1016/j.crad.2016.09.013
PROVIDER: scopus
PUBMED: 27742105
PMCID: PMC5503113
DOI/URL:

https://www.scopus.com/inward/record.uri?eid=2-s2.0-85002169355&doi=10.1016%2fj.crad.2016.09.013&partnerID=40&md5=5715044399a983f8612fcf22dc1d7728
Notes: Review -- Export Date: 3 January 2017 -- Source: Scopus
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MSK Authors
  1. Evis Sala
    113 Sala
  2. Hebert Alberto Vargas Alvarez
    267 Vargas Alvarez
  3. Alexandra Elizabeth Snyder Charen
    61 Snyder Charen
  4. Harini Veeraraghavan
    159 Veeraraghavan
  5. Britta Weigelt
    632 Weigelt
  6. Eralda Mema
    1 Mema
  7. Yuki Himoto
    4 Himoto
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