High-resolution computed tomography of single breast cancer microcalcifications in vivo

Kazumasa Inoue, Fangbing Liu, Jack Hoppin, Elaine P. Lunsford, Christian Lackas, Jacob Hesterman, Robert E. Lenkinski, Hirofumi Fujii, John V. Frangioni

Research output: Contribution to journalArticle

8 Citations (Scopus)

Abstract

Microcalcification is a hallmark of breast cancer and a key diagnostic feature for mammography. We recently described the first robust animal model of breast cancer microcalcification. In this study, we hypothesized that high-resolution computed tomography (CT) could potentially detect the genesis of a single microcalcification in vivo and quantify its growth over time. Using a commercial CT scanner, we systematically optimized acquisition and reconstruction parameters. Two ray-tracing image reconstruction algorithms were tested: a voxel-driven "fast" cone beam algorithm (FCBA) and a detector-driven "exact" cone beam algorithm (ECBA). By optimizing acquisition and reconstruction parameters, we were able to achieve a resolution of 104 μm full width at halfmaximum (FWHM). At an optimal detector sampling frequency, the ECBA provided a 28 μm (21%) FWHM improvement in resolution over the FCBA. In vitro, we were able to image a single 300 μm Times; 100 μm hydroxyapatite crystal. In a syngeneic rat model of breast cancer, we were able to detect the genesis of a single microcalcification in vivo and follow its growth longitudinally over weeks. Taken together, this study provides an in vivo "gold standard" for the development of calcification-specific contrast agents and a model system for studying the mechanism of breast cancer microcalcification.

Original languageEnglish (US)
Pages (from-to)295-304
Number of pages10
JournalMolecular Imaging
Volume10
Issue number4
DOIs
StatePublished - Jul 2011

Fingerprint

Calcinosis
breast
Tomography
tomography
cancer
Cones
Breast Neoplasms
cones
high resolution
acquisition
X-Ray Computed Tomography Scanners
Detectors
calcification
animal models
Mammography
Computer-Assisted Image Processing
detectors
Ray tracing
Durapatite
Growth

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging
  • Biotechnology
  • Molecular Medicine
  • Biomedical Engineering
  • Condensed Matter Physics

Cite this

Inoue, K., Liu, F., Hoppin, J., Lunsford, E. P., Lackas, C., Hesterman, J., ... Frangioni, J. V. (2011). High-resolution computed tomography of single breast cancer microcalcifications in vivo. Molecular Imaging, 10(4), 295-304. https://doi.org/10.2310/7290.2010.00050

High-resolution computed tomography of single breast cancer microcalcifications in vivo. / Inoue, Kazumasa; Liu, Fangbing; Hoppin, Jack; Lunsford, Elaine P.; Lackas, Christian; Hesterman, Jacob; Lenkinski, Robert E.; Fujii, Hirofumi; Frangioni, John V.

In: Molecular Imaging, Vol. 10, No. 4, 07.2011, p. 295-304.

Research output: Contribution to journalArticle

Inoue, K, Liu, F, Hoppin, J, Lunsford, EP, Lackas, C, Hesterman, J, Lenkinski, RE, Fujii, H & Frangioni, JV 2011, 'High-resolution computed tomography of single breast cancer microcalcifications in vivo', Molecular Imaging, vol. 10, no. 4, pp. 295-304. https://doi.org/10.2310/7290.2010.00050
Inoue K, Liu F, Hoppin J, Lunsford EP, Lackas C, Hesterman J et al. High-resolution computed tomography of single breast cancer microcalcifications in vivo. Molecular Imaging. 2011 Jul;10(4):295-304. https://doi.org/10.2310/7290.2010.00050
Inoue, Kazumasa ; Liu, Fangbing ; Hoppin, Jack ; Lunsford, Elaine P. ; Lackas, Christian ; Hesterman, Jacob ; Lenkinski, Robert E. ; Fujii, Hirofumi ; Frangioni, John V. / High-resolution computed tomography of single breast cancer microcalcifications in vivo. In: Molecular Imaging. 2011 ; Vol. 10, No. 4. pp. 295-304.
@article{e5eabe0a9ad04c0ab1dba4e040439c4f,
title = "High-resolution computed tomography of single breast cancer microcalcifications in vivo",
abstract = "Microcalcification is a hallmark of breast cancer and a key diagnostic feature for mammography. We recently described the first robust animal model of breast cancer microcalcification. In this study, we hypothesized that high-resolution computed tomography (CT) could potentially detect the genesis of a single microcalcification in vivo and quantify its growth over time. Using a commercial CT scanner, we systematically optimized acquisition and reconstruction parameters. Two ray-tracing image reconstruction algorithms were tested: a voxel-driven {"}fast{"} cone beam algorithm (FCBA) and a detector-driven {"}exact{"} cone beam algorithm (ECBA). By optimizing acquisition and reconstruction parameters, we were able to achieve a resolution of 104 μm full width at halfmaximum (FWHM). At an optimal detector sampling frequency, the ECBA provided a 28 μm (21{\%}) FWHM improvement in resolution over the FCBA. In vitro, we were able to image a single 300 μm Times; 100 μm hydroxyapatite crystal. In a syngeneic rat model of breast cancer, we were able to detect the genesis of a single microcalcification in vivo and follow its growth longitudinally over weeks. Taken together, this study provides an in vivo {"}gold standard{"} for the development of calcification-specific contrast agents and a model system for studying the mechanism of breast cancer microcalcification.",
author = "Kazumasa Inoue and Fangbing Liu and Jack Hoppin and Lunsford, {Elaine P.} and Christian Lackas and Jacob Hesterman and Lenkinski, {Robert E.} and Hirofumi Fujii and Frangioni, {John V.}",
year = "2011",
month = "7",
doi = "10.2310/7290.2010.00050",
language = "English (US)",
volume = "10",
pages = "295--304",
journal = "Molecular Imaging",
issn = "1535-3508",
publisher = "Decker Publishing",
number = "4",

}

TY - JOUR

T1 - High-resolution computed tomography of single breast cancer microcalcifications in vivo

AU - Inoue, Kazumasa

AU - Liu, Fangbing

AU - Hoppin, Jack

AU - Lunsford, Elaine P.

AU - Lackas, Christian

AU - Hesterman, Jacob

AU - Lenkinski, Robert E.

AU - Fujii, Hirofumi

AU - Frangioni, John V.

PY - 2011/7

Y1 - 2011/7

N2 - Microcalcification is a hallmark of breast cancer and a key diagnostic feature for mammography. We recently described the first robust animal model of breast cancer microcalcification. In this study, we hypothesized that high-resolution computed tomography (CT) could potentially detect the genesis of a single microcalcification in vivo and quantify its growth over time. Using a commercial CT scanner, we systematically optimized acquisition and reconstruction parameters. Two ray-tracing image reconstruction algorithms were tested: a voxel-driven "fast" cone beam algorithm (FCBA) and a detector-driven "exact" cone beam algorithm (ECBA). By optimizing acquisition and reconstruction parameters, we were able to achieve a resolution of 104 μm full width at halfmaximum (FWHM). At an optimal detector sampling frequency, the ECBA provided a 28 μm (21%) FWHM improvement in resolution over the FCBA. In vitro, we were able to image a single 300 μm Times; 100 μm hydroxyapatite crystal. In a syngeneic rat model of breast cancer, we were able to detect the genesis of a single microcalcification in vivo and follow its growth longitudinally over weeks. Taken together, this study provides an in vivo "gold standard" for the development of calcification-specific contrast agents and a model system for studying the mechanism of breast cancer microcalcification.

AB - Microcalcification is a hallmark of breast cancer and a key diagnostic feature for mammography. We recently described the first robust animal model of breast cancer microcalcification. In this study, we hypothesized that high-resolution computed tomography (CT) could potentially detect the genesis of a single microcalcification in vivo and quantify its growth over time. Using a commercial CT scanner, we systematically optimized acquisition and reconstruction parameters. Two ray-tracing image reconstruction algorithms were tested: a voxel-driven "fast" cone beam algorithm (FCBA) and a detector-driven "exact" cone beam algorithm (ECBA). By optimizing acquisition and reconstruction parameters, we were able to achieve a resolution of 104 μm full width at halfmaximum (FWHM). At an optimal detector sampling frequency, the ECBA provided a 28 μm (21%) FWHM improvement in resolution over the FCBA. In vitro, we were able to image a single 300 μm Times; 100 μm hydroxyapatite crystal. In a syngeneic rat model of breast cancer, we were able to detect the genesis of a single microcalcification in vivo and follow its growth longitudinally over weeks. Taken together, this study provides an in vivo "gold standard" for the development of calcification-specific contrast agents and a model system for studying the mechanism of breast cancer microcalcification.

UR - http://www.scopus.com/inward/record.url?scp=79959694864&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=79959694864&partnerID=8YFLogxK

U2 - 10.2310/7290.2010.00050

DO - 10.2310/7290.2010.00050

M3 - Article

C2 - 21504703

AN - SCOPUS:79959694864

VL - 10

SP - 295

EP - 304

JO - Molecular Imaging

JF - Molecular Imaging

SN - 1535-3508

IS - 4

ER -