Whole liver CT texture analysis to predict the development of colorectal liver metastases-A multicentre study

Rianne C. J. Beckers; Doenja M. J. Lambregts; Roald S. Schnerr; Monique Maas; Sheng-Xiang Rao; Alfons G. H. Kessels; Thomas Thywissen; Geerard L. Beets; Stefano Trebeschi; Janneke B. Houwers; Cornelis H. Dejong; Cornelis Verhoef; Regina G. H. Beets-Tan

doi:10.1016/j.ejrad.2017.04.019

Whole liver CT texture analysis to predict the development of colorectal liver metastases-A multicentre study

Rianne C. J. Beckers, Doenja M. J. Lambregts^*, Roald S. Schnerr, Monique Maas, Sheng-Xiang Rao, Alfons G. H. Kessels, Thomas Thywissen, Geerard L. Beets, Stefano Trebeschi, Janneke B. Houwers, Cornelis H. Dejong, Cornelis Verhoef, Regina G. H. Beets-Tan

^*Corresponding author for this work

Research output: Contribution to journal › Article › Academic › peer-review

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Abstract

Objectives: CT texture analysis has shown promise to differentiate colorectal cancer patients with/ without hepatic metastases.

Aim: To investigate whether whole-liver CT texture analysis can also predict the development of colorectal liver metastases.

Material and methods: Retrospective multicentre study (n = 165). Three subgroups were assessed: patients [A] without metastases (n = 57), [B] with synchronous metastases (n = 54) and [C] who developed metastases within

Results: Univariable analysis identified uniformity (sigma 0.5), sex, tumour site, nodal stage and carcinoembryonic antigen as potential predictors. Uniformity remained a significant predictor in multivariable analysis to predict early metastases (OR 0.56). None of the parameters could predict intermediate/late metastases.

Conclusions: Whole-liver CT-texture analysis has potential to predict patients at risk of developing early liver metastases

Original language	English
Pages (from-to)	64-71
Number of pages	8
Journal	European Journal of Radiology
Volume	92
DOIs	https://doi.org/10.1016/j.ejrad.2017.04.019
Publication status	Published - Jul 2017

Keywords

Computed tomography
Texture analysis
Colorectal cancer
Liver metastases
Occult disease
Metachronous metastases
CANCER
SURVIVAL
ENHANCEMENT
IMAGES

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Beckers, R. C. J., Lambregts, D. M. J., Schnerr, R. S., Maas, M., Rao, S.-X., Kessels, A. G. H., Thywissen, T., Beets, G. L., Trebeschi, S., Houwers, J. B., Dejong, C. H., Verhoef, C., & Beets-Tan, R. G. H. (2017). Whole liver CT texture analysis to predict the development of colorectal liver metastases-A multicentre study. European Journal of Radiology, 92, 64-71. https://doi.org/10.1016/j.ejrad.2017.04.019

@article{4d1e99daae4b4b469362940bb82118ad,

title = "Whole liver CT texture analysis to predict the development of colorectal liver metastases-A multicentre study",

abstract = "Objectives: CT texture analysis has shown promise to differentiate colorectal cancer patients with/ without hepatic metastases.Aim: To investigate whether whole-liver CT texture analysis can also predict the development of colorectal liver metastases.Material and methods: Retrospective multicentre study (n = 165). Three subgroups were assessed: patients [A] without metastases (n = 57), [B] with synchronous metastases (n = 54) and [C] who developed metastases withinResults: Univariable analysis identified uniformity (sigma 0.5), sex, tumour site, nodal stage and carcinoembryonic antigen as potential predictors. Uniformity remained a significant predictor in multivariable analysis to predict early metastases (OR 0.56). None of the parameters could predict intermediate/late metastases.Conclusions: Whole-liver CT-texture analysis has potential to predict patients at risk of developing early liver metastases",

keywords = "Computed tomography, Texture analysis, Colorectal cancer, Liver metastases, Occult disease, Metachronous metastases, CANCER, SURVIVAL, ENHANCEMENT, IMAGES",

author = "Beckers, {Rianne C. J.} and Lambregts, {Doenja M. J.} and Schnerr, {Roald S.} and Monique Maas and Sheng-Xiang Rao and Kessels, {Alfons G. H.} and Thomas Thywissen and Beets, {Geerard L.} and Stefano Trebeschi and Houwers, {Janneke B.} and Dejong, {Cornelis H.} and Cornelis Verhoef and Beets-Tan, {Regina G. H.}",

year = "2017",

month = jul,

doi = "10.1016/j.ejrad.2017.04.019",

language = "English",

volume = "92",

pages = "64--71",

journal = "European Journal of Radiology",

issn = "0720-048X",

publisher = "Elsevier Ireland Ltd",

}

Beckers, RCJ, Lambregts, DMJ, Schnerr, RS, Maas, M, Rao, S-X, Kessels, AGH, Thywissen, T, Beets, GL, Trebeschi, S, Houwers, JB, Dejong, CH, Verhoef, C & Beets-Tan, RGH 2017, 'Whole liver CT texture analysis to predict the development of colorectal liver metastases-A multicentre study', European Journal of Radiology, vol. 92, pp. 64-71. https://doi.org/10.1016/j.ejrad.2017.04.019

TY - JOUR

T1 - Whole liver CT texture analysis to predict the development of colorectal liver metastases-A multicentre study

AU - Beckers, Rianne C. J.

AU - Lambregts, Doenja M. J.

AU - Schnerr, Roald S.

AU - Maas, Monique

AU - Rao, Sheng-Xiang

AU - Kessels, Alfons G. H.

AU - Thywissen, Thomas

AU - Beets, Geerard L.

AU - Trebeschi, Stefano

AU - Houwers, Janneke B.

AU - Dejong, Cornelis H.

AU - Verhoef, Cornelis

AU - Beets-Tan, Regina G. H.

PY - 2017/7

Y1 - 2017/7

N2 - Objectives: CT texture analysis has shown promise to differentiate colorectal cancer patients with/ without hepatic metastases.Aim: To investigate whether whole-liver CT texture analysis can also predict the development of colorectal liver metastases.Material and methods: Retrospective multicentre study (n = 165). Three subgroups were assessed: patients [A] without metastases (n = 57), [B] with synchronous metastases (n = 54) and [C] who developed metastases withinResults: Univariable analysis identified uniformity (sigma 0.5), sex, tumour site, nodal stage and carcinoembryonic antigen as potential predictors. Uniformity remained a significant predictor in multivariable analysis to predict early metastases (OR 0.56). None of the parameters could predict intermediate/late metastases.Conclusions: Whole-liver CT-texture analysis has potential to predict patients at risk of developing early liver metastases

AB - Objectives: CT texture analysis has shown promise to differentiate colorectal cancer patients with/ without hepatic metastases.Aim: To investigate whether whole-liver CT texture analysis can also predict the development of colorectal liver metastases.Material and methods: Retrospective multicentre study (n = 165). Three subgroups were assessed: patients [A] without metastases (n = 57), [B] with synchronous metastases (n = 54) and [C] who developed metastases withinResults: Univariable analysis identified uniformity (sigma 0.5), sex, tumour site, nodal stage and carcinoembryonic antigen as potential predictors. Uniformity remained a significant predictor in multivariable analysis to predict early metastases (OR 0.56). None of the parameters could predict intermediate/late metastases.Conclusions: Whole-liver CT-texture analysis has potential to predict patients at risk of developing early liver metastases

KW - Computed tomography

KW - Texture analysis

KW - Colorectal cancer

KW - Liver metastases

KW - Occult disease

KW - Metachronous metastases

KW - CANCER

KW - SURVIVAL

KW - ENHANCEMENT

KW - IMAGES

U2 - 10.1016/j.ejrad.2017.04.019

DO - 10.1016/j.ejrad.2017.04.019

M3 - Article

C2 - 28624022

SN - 0720-048X

VL - 92

SP - 64

EP - 71

JO - European Journal of Radiology

JF - European Journal of Radiology

ER -

Whole liver CT texture analysis to predict the development of colorectal liver metastases-A multicentre study

Abstract

Keywords

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