High-Resolution Computed Tomography of Single Breast Cancer Microcalcifications in Vivo
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 o...
Saved in:
| Main Authors: | , , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
SAGE Publishing
2011-07-01
|
| Series: | Molecular Imaging |
| Online Access: | https://doi.org/10.2310/7290.2010.00050 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1846092134961119232 |
|---|---|
| author | Kazumasa Inoue Fangbing Liu Jack Hoppin Elaine P. Lunsford Christian Lackas Jacob Hesterman Robert E. Lenkinski Hirofumi Fujii John V. Frangioni |
| author_facet | Kazumasa Inoue Fangbing Liu Jack Hoppin Elaine P. Lunsford Christian Lackas Jacob Hesterman Robert E. Lenkinski Hirofumi Fujii John V. Frangioni |
| author_sort | Kazumasa Inoue |
| collection | DOAJ |
| description | 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 half-maximum (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 X 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. |
| format | Article |
| id | doaj-art-8c862d8289c9413c83e0f75187fe3886 |
| institution | Kabale University |
| issn | 1536-0121 |
| language | English |
| publishDate | 2011-07-01 |
| publisher | SAGE Publishing |
| record_format | Article |
| series | Molecular Imaging |
| spelling | doaj-art-8c862d8289c9413c83e0f75187fe38862025-01-02T21:31:26ZengSAGE PublishingMolecular Imaging1536-01212011-07-011010.2310/7290.2010.0005010.2310_7290.2010.00050High-Resolution Computed Tomography of Single Breast Cancer Microcalcifications in VivoKazumasa InoueFangbing LiuJack HoppinElaine P. LunsfordChristian LackasJacob HestermanRobert E. LenkinskiHirofumi FujiiJohn V. FrangioniMicrocalcification 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 half-maximum (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 X 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.https://doi.org/10.2310/7290.2010.00050 |
| spellingShingle | Kazumasa Inoue Fangbing Liu Jack Hoppin Elaine P. Lunsford Christian Lackas Jacob Hesterman Robert E. Lenkinski Hirofumi Fujii John V. Frangioni High-Resolution Computed Tomography of Single Breast Cancer Microcalcifications in Vivo Molecular Imaging |
| title | High-Resolution Computed Tomography of Single Breast Cancer Microcalcifications in Vivo |
| title_full | High-Resolution Computed Tomography of Single Breast Cancer Microcalcifications in Vivo |
| title_fullStr | High-Resolution Computed Tomography of Single Breast Cancer Microcalcifications in Vivo |
| title_full_unstemmed | High-Resolution Computed Tomography of Single Breast Cancer Microcalcifications in Vivo |
| title_short | High-Resolution Computed Tomography of Single Breast Cancer Microcalcifications in Vivo |
| title_sort | high resolution computed tomography of single breast cancer microcalcifications in vivo |
| url | https://doi.org/10.2310/7290.2010.00050 |
| work_keys_str_mv | AT kazumasainoue highresolutioncomputedtomographyofsinglebreastcancermicrocalcificationsinvivo AT fangbingliu highresolutioncomputedtomographyofsinglebreastcancermicrocalcificationsinvivo AT jackhoppin highresolutioncomputedtomographyofsinglebreastcancermicrocalcificationsinvivo AT elaineplunsford highresolutioncomputedtomographyofsinglebreastcancermicrocalcificationsinvivo AT christianlackas highresolutioncomputedtomographyofsinglebreastcancermicrocalcificationsinvivo AT jacobhesterman highresolutioncomputedtomographyofsinglebreastcancermicrocalcificationsinvivo AT robertelenkinski highresolutioncomputedtomographyofsinglebreastcancermicrocalcificationsinvivo AT hirofumifujii highresolutioncomputedtomographyofsinglebreastcancermicrocalcificationsinvivo AT johnvfrangioni highresolutioncomputedtomographyofsinglebreastcancermicrocalcificationsinvivo |