Assessment of tumor heterogeneity: an emerging imaging tool for clinical practice?

Fergus Davnall; Connie Yip; Gunnar Ljungqvist; Mariyah Selmi; Francesca Ng; Bal Sanghera; Balaji Ganeshan; Ken Miles; Gary Cook; Vicky Goh

doi:10.1007/s13244-012-0196-6

Assessment of tumor heterogeneity: an emerging imaging tool for clinical practice?

Fergus Davnall, Connie Yip, Gunnar Ljungqvist, Mariyah Selmi, Francesca Ng, Bal Sanghera, Balaji Ganeshan, Ken Miles, Gary Cook, Vicky Goh

Research output: Contribution to journal › Literature review › peer-review

770 Citations (Scopus)

Abstract

Background
Tumor spatial heterogeneity is an important prognostic factor, which may be reflected in medical images
Methods
Image texture analysis is an approach of quantifying heterogeneity that may not be appreciated by the naked eye. Different methods can be applied including statistical-, model-, and transform-based methods.
Results
Early evidence suggests that texture analysis has the potential to augment diagnosis and characterization as well as improve tumor staging and therapy response assessment in oncological practice.
Conclusion
This review provides an overview of the application of texture analysis with different imaging modalities, CT, MRI, and PET, to date and describes the technical challenges that have limited its widespread clinical implementation so far. With further efforts to refine its application, image texture analysis has the potential to develop into a valuable clinical tool for oncologic imaging.

Original language	English
Pages (from-to)	573-589
Number of pages	17
Journal	Insights into imaging
Volume	3
Issue number	6
DOIs	https://doi.org/10.1007/s13244-012-0196-6
Publication status	Published - Dec 2012

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title = "Assessment of tumor heterogeneity: an emerging imaging tool for clinical practice?",

abstract = "BackgroundTumor spatial heterogeneity is an important prognostic factor, which may be reflected in medical imagesMethodsImage texture analysis is an approach of quantifying heterogeneity that may not be appreciated by the naked eye. Different methods can be applied including statistical-, model-, and transform-based methods.ResultsEarly evidence suggests that texture analysis has the potential to augment diagnosis and characterization as well as improve tumor staging and therapy response assessment in oncological practice.ConclusionThis review provides an overview of the application of texture analysis with different imaging modalities, CT, MRI, and PET, to date and describes the technical challenges that have limited its widespread clinical implementation so far. With further efforts to refine its application, image texture analysis has the potential to develop into a valuable clinical tool for oncologic imaging.",

author = "Fergus Davnall and Connie Yip and Gunnar Ljungqvist and Mariyah Selmi and Francesca Ng and Bal Sanghera and Balaji Ganeshan and Ken Miles and Gary Cook and Vicky Goh",

year = "2012",

month = dec,

doi = "10.1007/s13244-012-0196-6",

language = "English",

volume = "3",

pages = "573--589",

journal = "Insights into imaging",

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TY - JOUR

T1 - Assessment of tumor heterogeneity

T2 - an emerging imaging tool for clinical practice?

AU - Davnall, Fergus

AU - Yip, Connie

AU - Ljungqvist, Gunnar

AU - Selmi, Mariyah

AU - Ng, Francesca

AU - Sanghera, Bal

AU - Ganeshan, Balaji

AU - Miles, Ken

AU - Cook, Gary

AU - Goh, Vicky

PY - 2012/12

Y1 - 2012/12

N2 - BackgroundTumor spatial heterogeneity is an important prognostic factor, which may be reflected in medical imagesMethodsImage texture analysis is an approach of quantifying heterogeneity that may not be appreciated by the naked eye. Different methods can be applied including statistical-, model-, and transform-based methods.ResultsEarly evidence suggests that texture analysis has the potential to augment diagnosis and characterization as well as improve tumor staging and therapy response assessment in oncological practice.ConclusionThis review provides an overview of the application of texture analysis with different imaging modalities, CT, MRI, and PET, to date and describes the technical challenges that have limited its widespread clinical implementation so far. With further efforts to refine its application, image texture analysis has the potential to develop into a valuable clinical tool for oncologic imaging.

AB - BackgroundTumor spatial heterogeneity is an important prognostic factor, which may be reflected in medical imagesMethodsImage texture analysis is an approach of quantifying heterogeneity that may not be appreciated by the naked eye. Different methods can be applied including statistical-, model-, and transform-based methods.ResultsEarly evidence suggests that texture analysis has the potential to augment diagnosis and characterization as well as improve tumor staging and therapy response assessment in oncological practice.ConclusionThis review provides an overview of the application of texture analysis with different imaging modalities, CT, MRI, and PET, to date and describes the technical challenges that have limited its widespread clinical implementation so far. With further efforts to refine its application, image texture analysis has the potential to develop into a valuable clinical tool for oncologic imaging.

U2 - 10.1007/s13244-012-0196-6

DO - 10.1007/s13244-012-0196-6

M3 - Literature review

C2 - 23093486

SN - 1869-4101

VL - 3

SP - 573

EP - 589

JO - Insights into imaging

JF - Insights into imaging

IS - 6

ER -

Assessment of tumor heterogeneity: an emerging imaging tool for clinical practice?

Abstract

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