Unravelling tumour heterogeneity using next-generation imaging: radiomics, radiogenomics, and habitat imaging

被引：279

作者：

Sala, E. ^{[1
]}

Mema, E. ^{[1
,2
]}

Himoto, Y. ^{[1
]}

Veeraraghavan, H. ^{[3
]}

Brenton, J. D. ^{[4
]}

Snyder, A. ^{[5
]}

Weigelt, B. ^{[6
]}

Vargas, H. A. ^{[1
]}

机构：

[1] Mem Sloan Kettering Canc Ctr, Dept Radiol, 1275 York Ave, New York, NY 10065 USA

[2] Columbia Univ, Med Ctr, New York Presbyterian, Dept Radiol, 622 W 168th St, New York, NY 10032 USA

[3] Mem Sloan Kettering Canc Ctr, Dept Med Phys, 1275 York Ave, New York, NY 10065 USA

[4] Canc Res UK, Cambridge Res Inst, Li Ka Shing Ctr, Robinson Way, Cambridge CB2 0RE, England

[5] Mem Sloan Kettering Canc Ctr, Dept Med, 1275 York Ave, New York, NY 10065 USA

[6] Mem Sloan Kettering Canc Ctr, Dept Pathol, 1275 York Ave, New York, NY 10065 USA

来源：

CLINICAL RADIOLOGY | 2017年 / 72卷 / 01期

关键词：

GENE-EXPRESSION PROGRAMS; INTRATUMOR HETEROGENEITY; TEXTURE ANALYSIS; HEPATOCELLULAR-CARCINOMA; MICROVASCULAR INVASION; CLINICAL-OUTCOMES; PROSTATE-CANCER; MRI; EVOLUTION; REGISTRATION;

D O I：

10.1016/j.crad.2016.09.013

中图分类号：

R8 [特种医学]; R445 [影像诊断学];

学科分类号：

1002 ; 100207 ; 1009 ;

摘要：

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. Crown Copyright (C) 2016 Published by Elsevier Ltd on behalf of The Royal College of Radiologists. All rights reserved.

引用

页码：3 / 10

页数：8

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