Identifying in vivo DCE MRI parameters correlated with ex vivo quantitative microvessel architecture: A radiohistomorphometric approach

Metin N. Gurcan; Anant Madabhushi; Asha Singanamalli; Rachel Sparks; Mirabela Rusu; Natalie Shih; Amy Ziober; John Tomaszewski; Mark Rosen; Michael Feldman; Anant Madabhushi

doi:10.1117/12.2008136

Identifying in vivo DCE MRI parameters correlated with ex vivo quantitative microvessel architecture: A radiohistomorphometric approach

Metin N. Gurcan (Editor), Anant Madabhushi, Asha Singanamalli, Rachel Sparks, Mirabela Rusu, Natalie Shih, Amy Ziober, John Tomaszewski, Mark Rosen, Michael Feldman, Anant Madabhushi

Imaging and Biomedical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

6 Citations (Scopus)

Abstract

We introduce a novel radiohistomorphometric method for quantitative correlation and subsequent discovery of imaging markers for aggressive prostate cancer (CaP). While this approach can be employed in the context any imaging modality and disease domain, we seek to identify quantitative dynamic contrast enhanced (DCE) magnetic resonance imaging (MRI) attributes that are highly correlated with density and architecture of tumor microvessels, surrogate markers of CaP aggressiveness. This retrospective study consisted of five Gleason score matched patients who underwent 3 Tesla multiparametric MRI prior to radical prostatectomy (RP). The excised gland was sectioned and quartered with a rotary knife. For each serial section, digitized images of individual quadrants were reconstructed into pseudo whole mount sections via previously developed stitching program. The individual quadrants were stained with vascular marker CD31 and annotated for CaP by an expert pathologist. The stained microvessel regions were quantitatively characterized in terms of density and architectural arrangement via graph algorithms, yielding a series of quantitative histomorphometric features. The reconstructed pseudo whole mount histologic sections were non-linearly co-registered with DCE MRI to identify tumor extent on MRI on a voxel-by-voxel basis. Pairwise correlations between kinetic and microvessel features within CaP annotated regions on the two modalities were computed to identify highly correlated attributes. Preliminary results of the radiohistomorphometric correlation identified 8 DCE MRI kinetic features that were highly and significantly (p

Original language	English
Title of host publication	Proc SPIE
Editors	Metin N. Gurcan, Anant Madabhushi
Publisher	SPIE - INT SOC OPTICAL ENGINEERING
Pages	867604
Number of pages	1
ISBN (Print)	0277-786X
DOIs	https://doi.org/10.1117/12.2008136
Publication status	Published - 2013

Publication series

Name	Proc SPIE
Volume	8676

Keywords

Active Surveillance
DCE MRI
Imaging Biomarkers
Microvessel Density
Prostate Cancer
Radiohistomorphometrics

UN SDGs

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

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10.1117/12.2008136

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Gurcan, M. N. (Ed.), Madabhushi, A., Singanamalli, A., Sparks, R., Rusu, M., Shih, N., Ziober, A., Tomaszewski, J., Rosen, M., Feldman, M., & Madabhushi, A. (2013). Identifying in vivo DCE MRI parameters correlated with ex vivo quantitative microvessel architecture: A radiohistomorphometric approach. In M. N. Gurcan, & A. Madabhushi (Eds.), Proc SPIE (pp. 867604). (Proc SPIE; Vol. 8676). SPIE - INT SOC OPTICAL ENGINEERING. https://doi.org/10.1117/12.2008136

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abstract = "We introduce a novel radiohistomorphometric method for quantitative correlation and subsequent discovery of imaging markers for aggressive prostate cancer (CaP). While this approach can be employed in the context any imaging modality and disease domain, we seek to identify quantitative dynamic contrast enhanced (DCE) magnetic resonance imaging (MRI) attributes that are highly correlated with density and architecture of tumor microvessels, surrogate markers of CaP aggressiveness. This retrospective study consisted of five Gleason score matched patients who underwent 3 Tesla multiparametric MRI prior to radical prostatectomy (RP). The excised gland was sectioned and quartered with a rotary knife. For each serial section, digitized images of individual quadrants were reconstructed into pseudo whole mount sections via previously developed stitching program. The individual quadrants were stained with vascular marker CD31 and annotated for CaP by an expert pathologist. The stained microvessel regions were quantitatively characterized in terms of density and architectural arrangement via graph algorithms, yielding a series of quantitative histomorphometric features. The reconstructed pseudo whole mount histologic sections were non-linearly co-registered with DCE MRI to identify tumor extent on MRI on a voxel-by-voxel basis. Pairwise correlations between kinetic and microvessel features within CaP annotated regions on the two modalities were computed to identify highly correlated attributes. Preliminary results of the radiohistomorphometric correlation identified 8 DCE MRI kinetic features that were highly and significantly (p",

keywords = "Active Surveillance, DCE MRI, Imaging Biomarkers, Microvessel Density, Prostate Cancer, Radiohistomorphometrics",

author = "Gurcan, {Metin N.} and Anant Madabhushi and Asha Singanamalli and Rachel Sparks and Mirabela Rusu and Natalie Shih and Amy Ziober and John Tomaszewski and Mark Rosen and Michael Feldman and Anant Madabhushi",

year = "2013",

doi = "10.1117/12.2008136",

language = "English",

isbn = "0277-786X",

series = "Proc SPIE",

publisher = "SPIE - INT SOC OPTICAL ENGINEERING",

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Gurcan, MN (ed.), Madabhushi, A, Singanamalli, A, Sparks, R, Rusu, M, Shih, N, Ziober, A, Tomaszewski, J, Rosen, M, Feldman, M & Madabhushi, A 2013, Identifying in vivo DCE MRI parameters correlated with ex vivo quantitative microvessel architecture: A radiohistomorphometric approach. in MN Gurcan & A Madabhushi (eds), Proc SPIE. Proc SPIE, vol. 8676, SPIE - INT SOC OPTICAL ENGINEERING, pp. 867604. https://doi.org/10.1117/12.2008136

Identifying in vivo DCE MRI parameters correlated with ex vivo quantitative microvessel architecture: A radiohistomorphometric approach. / Gurcan, Metin N. (Editor); Madabhushi, Anant; Singanamalli, Asha et al.
Proc SPIE. ed. / Metin N. Gurcan; Anant Madabhushi. SPIE - INT SOC OPTICAL ENGINEERING, 2013. p. 867604 (Proc SPIE; Vol. 8676).

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

TY - CHAP

T1 - Identifying in vivo DCE MRI parameters correlated with ex vivo quantitative microvessel architecture: A radiohistomorphometric approach

AU - Madabhushi, Anant

AU - Singanamalli, Asha

AU - Sparks, Rachel

AU - Rusu, Mirabela

AU - Shih, Natalie

AU - Ziober, Amy

AU - Tomaszewski, John

AU - Rosen, Mark

AU - Feldman, Michael

AU - Madabhushi, Anant

A2 - Gurcan, Metin N.

A2 - Madabhushi, Anant

PY - 2013

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N2 - We introduce a novel radiohistomorphometric method for quantitative correlation and subsequent discovery of imaging markers for aggressive prostate cancer (CaP). While this approach can be employed in the context any imaging modality and disease domain, we seek to identify quantitative dynamic contrast enhanced (DCE) magnetic resonance imaging (MRI) attributes that are highly correlated with density and architecture of tumor microvessels, surrogate markers of CaP aggressiveness. This retrospective study consisted of five Gleason score matched patients who underwent 3 Tesla multiparametric MRI prior to radical prostatectomy (RP). The excised gland was sectioned and quartered with a rotary knife. For each serial section, digitized images of individual quadrants were reconstructed into pseudo whole mount sections via previously developed stitching program. The individual quadrants were stained with vascular marker CD31 and annotated for CaP by an expert pathologist. The stained microvessel regions were quantitatively characterized in terms of density and architectural arrangement via graph algorithms, yielding a series of quantitative histomorphometric features. The reconstructed pseudo whole mount histologic sections were non-linearly co-registered with DCE MRI to identify tumor extent on MRI on a voxel-by-voxel basis. Pairwise correlations between kinetic and microvessel features within CaP annotated regions on the two modalities were computed to identify highly correlated attributes. Preliminary results of the radiohistomorphometric correlation identified 8 DCE MRI kinetic features that were highly and significantly (p

AB - We introduce a novel radiohistomorphometric method for quantitative correlation and subsequent discovery of imaging markers for aggressive prostate cancer (CaP). While this approach can be employed in the context any imaging modality and disease domain, we seek to identify quantitative dynamic contrast enhanced (DCE) magnetic resonance imaging (MRI) attributes that are highly correlated with density and architecture of tumor microvessels, surrogate markers of CaP aggressiveness. This retrospective study consisted of five Gleason score matched patients who underwent 3 Tesla multiparametric MRI prior to radical prostatectomy (RP). The excised gland was sectioned and quartered with a rotary knife. For each serial section, digitized images of individual quadrants were reconstructed into pseudo whole mount sections via previously developed stitching program. The individual quadrants were stained with vascular marker CD31 and annotated for CaP by an expert pathologist. The stained microvessel regions were quantitatively characterized in terms of density and architectural arrangement via graph algorithms, yielding a series of quantitative histomorphometric features. The reconstructed pseudo whole mount histologic sections were non-linearly co-registered with DCE MRI to identify tumor extent on MRI on a voxel-by-voxel basis. Pairwise correlations between kinetic and microvessel features within CaP annotated regions on the two modalities were computed to identify highly correlated attributes. Preliminary results of the radiohistomorphometric correlation identified 8 DCE MRI kinetic features that were highly and significantly (p

KW - Active Surveillance

KW - DCE MRI

KW - Imaging Biomarkers

KW - Microvessel Density

KW - Prostate Cancer

KW - Radiohistomorphometrics

U2 - 10.1117/12.2008136

DO - 10.1117/12.2008136

M3 - Chapter

SN - 0277-786X

T3 - Proc SPIE

SP - 867604

BT - Proc SPIE

PB - SPIE - INT SOC OPTICAL ENGINEERING

ER -

Identifying in vivo DCE MRI parameters correlated with ex vivo quantitative microvessel architecture: A radiohistomorphometric approach

Abstract

Publication series

Keywords

UN SDGs

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