Modelling vascularity in breast cancer and surrounding stroma using diffusion MRI and intravoxel incoherent motion

Colleen Bailey; Sarah Vinnicombe; Eleftheria Panagiotaki; Shelley A. Waugh; John H. Hipwell; Daniel C. Alexander; Kathryn Kitching; Patsy Whelehan; Sarah E. Pinder; Andrew Evans; David J. Hawkes

doi:10.1007/978-3-319-07887-8_53

Modelling vascularity in breast cancer and surrounding stroma using diffusion MRI and intravoxel incoherent motion

Colleen Bailey (Lead / Corresponding author), Sarah Vinnicombe, Eleftheria Panagiotaki, Shelley A. Waugh, John H. Hipwell, Daniel C. Alexander, Kathryn Kitching, Patsy Whelehan, Sarah E. Pinder, Andrew Evans, David J. Hawkes

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

Contrast-enhanced magnetic resonance imaging (MRI) has shown variation in the stroma with distance from the tumor and this correlates with histological microvessel density. To date, however, conventional diffusion MRI has demonstrated limited sensitivity to these changes. This study modelled the diffusion signal by intravoxel incoherent motion (IVIM) to obtain parameters related to the vasculature and tissue diffusion. This revealed a small vascular contribution to the signal in tumor and peri-tumoral stroma within 8 mm. Monoexponential fitting performed worse than the IVIM model in tumor and stroma within 8 mm, but was sufficient in more distal stromal regions where lower microvessel density is expected. Modelling diffusion MRI by IVIM provided a measure of vascularity that may complement information from DCE-MRI and yielded additional information about diffusion in the extravascular tissue.

Original language	English
Title of host publication	Breast Imaging
Subtitle of host publication	12th International Workshop, IWDM 2014, Gifu City, Japan, June 29 – July 2, 2014. Proceedings
Editors	Hiroshi Fujita, Takeshi Hara, Chisako Muramatsu
Publisher	Springer International Publishing
Pages	380-386
Number of pages	7
ISBN (Electronic)	9783319078878
ISBN (Print)	9783319078861
DOIs	https://doi.org/10.1007/978-3-319-07887-8_53
Publication status	Published - 2014
Event	12th International Workshop on Breast Imaging - Juroku Plaza, Gifu City, Japan Duration: 29 Jun 2014 → 2 Jul 2014 http://www.fjt.info.gifu-u.ac.jp/iwdm2014/

Publication series

Name	Lecture notes in computer science
Volume	8539
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Workshop

Workshop	12th International Workshop on Breast Imaging
Abbreviated title	IWDM 2014
Country/Territory	Japan
City	Gifu City
Period	29/06/14 → 2/07/14
Internet address	http://www.fjt.info.gifu-u.ac.jp/iwdm2014/

Keywords

breast cancer
diffusion MRI
IVIM
modelling
stroma
vascularity

ASJC Scopus subject areas

General Computer Science
Theoretical Computer Science

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1007/978-3-319-07887-8_53

Cite this

Bailey, C., Vinnicombe, S., Panagiotaki, E., Waugh, S. A., Hipwell, J. H., Alexander, D. C., Kitching, K., Whelehan, P., Pinder, S. E., Evans, A., & Hawkes, D. J. (2014). Modelling vascularity in breast cancer and surrounding stroma using diffusion MRI and intravoxel incoherent motion. In H. Fujita, T. Hara, & C. Muramatsu (Eds.), Breast Imaging: 12th International Workshop, IWDM 2014, Gifu City, Japan, June 29 – July 2, 2014. Proceedings (pp. 380-386). (Lecture notes in computer science ; Vol. 8539 ). Springer International Publishing. https://doi.org/10.1007/978-3-319-07887-8_53

Bailey, Colleen ; Vinnicombe, Sarah ; Panagiotaki, Eleftheria et al. / Modelling vascularity in breast cancer and surrounding stroma using diffusion MRI and intravoxel incoherent motion. Breast Imaging: 12th International Workshop, IWDM 2014, Gifu City, Japan, June 29 – July 2, 2014. Proceedings. editor / Hiroshi Fujita ; Takeshi Hara ; Chisako Muramatsu. Springer International Publishing, 2014. pp. 380-386 (Lecture notes in computer science ).

@inproceedings{ba445c00ddb94909adb84a5ac5a16163,

title = "Modelling vascularity in breast cancer and surrounding stroma using diffusion MRI and intravoxel incoherent motion",

abstract = "Contrast-enhanced magnetic resonance imaging (MRI) has shown variation in the stroma with distance from the tumor and this correlates with histological microvessel density. To date, however, conventional diffusion MRI has demonstrated limited sensitivity to these changes. This study modelled the diffusion signal by intravoxel incoherent motion (IVIM) to obtain parameters related to the vasculature and tissue diffusion. This revealed a small vascular contribution to the signal in tumor and peri-tumoral stroma within 8 mm. Monoexponential fitting performed worse than the IVIM model in tumor and stroma within 8 mm, but was sufficient in more distal stromal regions where lower microvessel density is expected. Modelling diffusion MRI by IVIM provided a measure of vascularity that may complement information from DCE-MRI and yielded additional information about diffusion in the extravascular tissue.",

keywords = "breast cancer, diffusion MRI, IVIM, modelling, stroma, vascularity",

author = "Colleen Bailey and Sarah Vinnicombe and Eleftheria Panagiotaki and Waugh, {Shelley A.} and Hipwell, {John H.} and Alexander, {Daniel C.} and Kathryn Kitching and Patsy Whelehan and Pinder, {Sarah E.} and Andrew Evans and Hawkes, {David J.}",

year = "2014",

doi = "10.1007/978-3-319-07887-8_53",

language = "English",

isbn = "9783319078861",

series = "Lecture notes in computer science ",

publisher = "Springer International Publishing",

pages = "380--386",

editor = "Hiroshi Fujita and Takeshi Hara and Chisako Muramatsu",

booktitle = "Breast Imaging",

address = "Switzerland",

note = "12th International Workshop on Breast Imaging, IWDM 2014 ; Conference date: 29-06-2014 Through 02-07-2014",

url = "http://www.fjt.info.gifu-u.ac.jp/iwdm2014/",

}

Bailey, C, Vinnicombe, S, Panagiotaki, E, Waugh, SA, Hipwell, JH, Alexander, DC, Kitching, K, Whelehan, P, Pinder, SE, Evans, A & Hawkes, DJ 2014, Modelling vascularity in breast cancer and surrounding stroma using diffusion MRI and intravoxel incoherent motion. in H Fujita, T Hara & C Muramatsu (eds), Breast Imaging: 12th International Workshop, IWDM 2014, Gifu City, Japan, June 29 – July 2, 2014. Proceedings. Lecture notes in computer science , vol. 8539 , Springer International Publishing, pp. 380-386, 12th International Workshop on Breast Imaging, Gifu City, Japan, 29/06/14. https://doi.org/10.1007/978-3-319-07887-8_53

Modelling vascularity in breast cancer and surrounding stroma using diffusion MRI and intravoxel incoherent motion. / Bailey, Colleen (Lead / Corresponding author); Vinnicombe, Sarah; Panagiotaki, Eleftheria et al.
Breast Imaging: 12th International Workshop, IWDM 2014, Gifu City, Japan, June 29 – July 2, 2014. Proceedings. ed. / Hiroshi Fujita; Takeshi Hara; Chisako Muramatsu. Springer International Publishing, 2014. p. 380-386 (Lecture notes in computer science ; Vol. 8539 ).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Modelling vascularity in breast cancer and surrounding stroma using diffusion MRI and intravoxel incoherent motion

AU - Bailey, Colleen

AU - Vinnicombe, Sarah

AU - Panagiotaki, Eleftheria

AU - Waugh, Shelley A.

AU - Hipwell, John H.

AU - Alexander, Daniel C.

AU - Kitching, Kathryn

AU - Whelehan, Patsy

AU - Pinder, Sarah E.

AU - Evans, Andrew

AU - Hawkes, David J.

PY - 2014

Y1 - 2014

N2 - Contrast-enhanced magnetic resonance imaging (MRI) has shown variation in the stroma with distance from the tumor and this correlates with histological microvessel density. To date, however, conventional diffusion MRI has demonstrated limited sensitivity to these changes. This study modelled the diffusion signal by intravoxel incoherent motion (IVIM) to obtain parameters related to the vasculature and tissue diffusion. This revealed a small vascular contribution to the signal in tumor and peri-tumoral stroma within 8 mm. Monoexponential fitting performed worse than the IVIM model in tumor and stroma within 8 mm, but was sufficient in more distal stromal regions where lower microvessel density is expected. Modelling diffusion MRI by IVIM provided a measure of vascularity that may complement information from DCE-MRI and yielded additional information about diffusion in the extravascular tissue.

AB - Contrast-enhanced magnetic resonance imaging (MRI) has shown variation in the stroma with distance from the tumor and this correlates with histological microvessel density. To date, however, conventional diffusion MRI has demonstrated limited sensitivity to these changes. This study modelled the diffusion signal by intravoxel incoherent motion (IVIM) to obtain parameters related to the vasculature and tissue diffusion. This revealed a small vascular contribution to the signal in tumor and peri-tumoral stroma within 8 mm. Monoexponential fitting performed worse than the IVIM model in tumor and stroma within 8 mm, but was sufficient in more distal stromal regions where lower microvessel density is expected. Modelling diffusion MRI by IVIM provided a measure of vascularity that may complement information from DCE-MRI and yielded additional information about diffusion in the extravascular tissue.

KW - breast cancer

KW - diffusion MRI

KW - IVIM

KW - modelling

KW - stroma

KW - vascularity

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U2 - 10.1007/978-3-319-07887-8_53

DO - 10.1007/978-3-319-07887-8_53

M3 - Conference contribution

AN - SCOPUS:84903948623

SN - 9783319078861

T3 - Lecture notes in computer science

SP - 380

EP - 386

BT - Breast Imaging

A2 - Fujita, Hiroshi

A2 - Hara, Takeshi

A2 - Muramatsu, Chisako

PB - Springer International Publishing

T2 - 12th International Workshop on Breast Imaging

Y2 - 29 June 2014 through 2 July 2014

ER -

Bailey C, Vinnicombe S, Panagiotaki E, Waugh SA, Hipwell JH, Alexander DC et al. Modelling vascularity in breast cancer and surrounding stroma using diffusion MRI and intravoxel incoherent motion. In Fujita H, Hara T, Muramatsu C, editors, Breast Imaging: 12th International Workshop, IWDM 2014, Gifu City, Japan, June 29 – July 2, 2014. Proceedings. Springer International Publishing. 2014. p. 380-386. (Lecture notes in computer science ). doi: 10.1007/978-3-319-07887-8_53

Modelling vascularity in breast cancer and surrounding stroma using diffusion MRI and intravoxel incoherent motion

Abstract

Publication series

Workshop

Keywords

ASJC Scopus subject areas

UN SDGs

Access to Document

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