Application of time-resolved angiography with stochastic trajectories (twist)-dixon in dynamic contrast-enhanced (dce) breast mri
Purpose To evaluate a magnetic resonance imaging (MRI) technique that integrates time‐resolved angiography with stochastic trajectories (TWIST) view sharing and Dixon for a breast dynamic contrast‐enhanced (DCE)‐MRI application. Materials and Methods Simulation study: K‐space data at six timepoints...
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| Veröffentlicht in: | Journal of magnetic resonance imaging 2013-11, Vol.38 (5), p.1033-1042 |
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| container_title | Journal of magnetic resonance imaging |
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| creator | Le, Yuan Kipfer, Hal Majidi, Shadie Holz, Stephanie Dale, Brian Geppert, Christian Kroeker, Randall Lin, Chen |
| description | Purpose
To evaluate a magnetic resonance imaging (MRI) technique that integrates time‐resolved angiography with stochastic trajectories (TWIST) view sharing and Dixon for a breast dynamic contrast‐enhanced (DCE)‐MRI application.
Materials and Methods
Simulation study: K‐space data at six timepoints (1 pre‐, 5 postcontrast) were generated by performing Fourier transform on a digital “phantom” with 3–9 mm enhancing lesions and three types of enhancement curves (persistent, plateau, washout). Images were reconstructed with and without TWIST. Clinical study: Six TWIST‐Dixon image sets (one pre‐, five postcontrast) were acquired in 18 patients on a 3T scanner, followed by one conventional image set. The last TWIST‐Dixon and the conventional images were scored for seven criteria: perceived signal‐to‐noise ratio (P.SNR), visualization of anatomy, fat suppression (FS) accuracy, FS uniformity, ghosting artifact, edge ringing artifact, and overall image quality (IQ).
Results
Simulation study: With proper TWIST parameters (pA ≥33%, pB ≥50%), the enhancement underestimation was 5% or less for tumor size ≥5 mm. Clinical study: TWIST‐Dixon images have significantly better scores in all criteria except for ghosting artifacts, where the difference was not significant.
Conclusion
With proper parameters, TWIST‐Dixon provides higher perceived SNR, more accurate fat suppression, and better overall image quality for breast DCE‐MRI without sacrificing accuracy in the enhancement estimation. J. Magn. Reson. Imaging 2013;38:1033–1042. © 2013 Wiley Periodicals, Inc. |
| doi_str_mv | 10.1002/jmri.24062 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_1447105569</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>3110670461</sourcerecordid><originalsourceid>FETCH-LOGICAL-c3952-6eec41b62941cc43cb343992ccaaf5568fca7dbb8e1e6791805c4a1afea9cd633</originalsourceid><addsrcrecordid>eNp9kc1u1DAURiMEoqWw4QGQJTZTpBT_JvGyjGgpFFBRUdlZjnPT8ZDYwfZ0OkveHA_TdsGClS3r3KPr7yuKlwQfEYzp2-UY7BHluKKPin0iKC2paKrH-Y4FK0mD673iWYxLjLGUXDwt9jLMGi7ofvH7eJoGa3Sy3iHfo2RHKANEP9xAh7S7tv466GmxQWubFigmbxY6JmtQCnoJJvlgIaJZWtuYDsvO3maPdajbOD1myniXwZhKcAvtTHbOOgOHqA2QX1He_HnxpNdDhBd350Hx_eT95fxDef719Gx-fF4aJgUtKwDDSVtRyYkxnJmWcSYlNUbrXoiq6Y2uu7ZtgEBVy_xrYbgmugctTVcxdlDMdt4p-F8riEmNNhoYBu3Ar6IinNc5MFHJjL7-B136VXB5uy0lZC1yepl6s6NM8DEG6NUU7KjDRhGstsWobTHqbzEZfnWnXLUjdA_ofRMZIDtgbQfY_EelPn7-dnYvLXczOXu4fZjR4aeqalYLdfXlVM0_XZKLq3cX6gf7A4Beqgg</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1445975384</pqid></control><display><type>article</type><title>Application of time-resolved angiography with stochastic trajectories (twist)-dixon in dynamic contrast-enhanced (dce) breast mri</title><source>MEDLINE</source><source>Wiley Journals</source><source>Wiley Free Content</source><creator>Le, Yuan ; Kipfer, Hal ; Majidi, Shadie ; Holz, Stephanie ; Dale, Brian ; Geppert, Christian ; Kroeker, Randall ; Lin, Chen</creator><creatorcontrib>Le, Yuan ; Kipfer, Hal ; Majidi, Shadie ; Holz, Stephanie ; Dale, Brian ; Geppert, Christian ; Kroeker, Randall ; Lin, Chen</creatorcontrib><description>Purpose
To evaluate a magnetic resonance imaging (MRI) technique that integrates time‐resolved angiography with stochastic trajectories (TWIST) view sharing and Dixon for a breast dynamic contrast‐enhanced (DCE)‐MRI application.
Materials and Methods
Simulation study: K‐space data at six timepoints (1 pre‐, 5 postcontrast) were generated by performing Fourier transform on a digital “phantom” with 3–9 mm enhancing lesions and three types of enhancement curves (persistent, plateau, washout). Images were reconstructed with and without TWIST. Clinical study: Six TWIST‐Dixon image sets (one pre‐, five postcontrast) were acquired in 18 patients on a 3T scanner, followed by one conventional image set. The last TWIST‐Dixon and the conventional images were scored for seven criteria: perceived signal‐to‐noise ratio (P.SNR), visualization of anatomy, fat suppression (FS) accuracy, FS uniformity, ghosting artifact, edge ringing artifact, and overall image quality (IQ).
Results
Simulation study: With proper TWIST parameters (pA ≥33%, pB ≥50%), the enhancement underestimation was 5% or less for tumor size ≥5 mm. Clinical study: TWIST‐Dixon images have significantly better scores in all criteria except for ghosting artifacts, where the difference was not significant.
Conclusion
With proper parameters, TWIST‐Dixon provides higher perceived SNR, more accurate fat suppression, and better overall image quality for breast DCE‐MRI without sacrificing accuracy in the enhancement estimation. J. Magn. Reson. Imaging 2013;38:1033–1042. © 2013 Wiley Periodicals, Inc.</description><identifier>ISSN: 1053-1807</identifier><identifier>EISSN: 1522-2586</identifier><identifier>DOI: 10.1002/jmri.24062</identifier><identifier>PMID: 24038452</identifier><language>eng</language><publisher>United States: Blackwell Publishing Ltd</publisher><subject>Adult ; Aged ; Algorithms ; breast MRI ; Breast Neoplasms - diagnosis ; Contrast Media ; Data Interpretation, Statistical ; Diffusion Magnetic Resonance Imaging - methods ; Dixon ; dynamic contrast enhancement ; fat suppression ; Female ; Fourier transforms ; Humans ; Image Enhancement - methods ; Image Interpretation, Computer-Assisted - methods ; Imaging, Three-Dimensional - methods ; Magnetic Resonance Angiography - instrumentation ; Magnetic Resonance Angiography - methods ; Magnetic resonance imaging ; Medical imaging ; Middle Aged ; NMR ; Nuclear magnetic resonance ; Phantoms, Imaging ; Reproducibility of Results ; Sensitivity and Specificity ; Stochastic Processes ; TWIST ; view sharing</subject><ispartof>Journal of magnetic resonance imaging, 2013-11, Vol.38 (5), p.1033-1042</ispartof><rights>Copyright © 2013 Wiley Periodicals, Inc.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c3952-6eec41b62941cc43cb343992ccaaf5568fca7dbb8e1e6791805c4a1afea9cd633</citedby><cites>FETCH-LOGICAL-c3952-6eec41b62941cc43cb343992ccaaf5568fca7dbb8e1e6791805c4a1afea9cd633</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1002%2Fjmri.24062$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1002%2Fjmri.24062$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,780,784,1417,1433,27924,27925,45574,45575,46409,46833</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/24038452$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Le, Yuan</creatorcontrib><creatorcontrib>Kipfer, Hal</creatorcontrib><creatorcontrib>Majidi, Shadie</creatorcontrib><creatorcontrib>Holz, Stephanie</creatorcontrib><creatorcontrib>Dale, Brian</creatorcontrib><creatorcontrib>Geppert, Christian</creatorcontrib><creatorcontrib>Kroeker, Randall</creatorcontrib><creatorcontrib>Lin, Chen</creatorcontrib><title>Application of time-resolved angiography with stochastic trajectories (twist)-dixon in dynamic contrast-enhanced (dce) breast mri</title><title>Journal of magnetic resonance imaging</title><addtitle>J. Magn. Reson. Imaging</addtitle><description>Purpose
To evaluate a magnetic resonance imaging (MRI) technique that integrates time‐resolved angiography with stochastic trajectories (TWIST) view sharing and Dixon for a breast dynamic contrast‐enhanced (DCE)‐MRI application.
Materials and Methods
Simulation study: K‐space data at six timepoints (1 pre‐, 5 postcontrast) were generated by performing Fourier transform on a digital “phantom” with 3–9 mm enhancing lesions and three types of enhancement curves (persistent, plateau, washout). Images were reconstructed with and without TWIST. Clinical study: Six TWIST‐Dixon image sets (one pre‐, five postcontrast) were acquired in 18 patients on a 3T scanner, followed by one conventional image set. The last TWIST‐Dixon and the conventional images were scored for seven criteria: perceived signal‐to‐noise ratio (P.SNR), visualization of anatomy, fat suppression (FS) accuracy, FS uniformity, ghosting artifact, edge ringing artifact, and overall image quality (IQ).
Results
Simulation study: With proper TWIST parameters (pA ≥33%, pB ≥50%), the enhancement underestimation was 5% or less for tumor size ≥5 mm. Clinical study: TWIST‐Dixon images have significantly better scores in all criteria except for ghosting artifacts, where the difference was not significant.
Conclusion
With proper parameters, TWIST‐Dixon provides higher perceived SNR, more accurate fat suppression, and better overall image quality for breast DCE‐MRI without sacrificing accuracy in the enhancement estimation. J. Magn. Reson. Imaging 2013;38:1033–1042. © 2013 Wiley Periodicals, Inc.</description><subject>Adult</subject><subject>Aged</subject><subject>Algorithms</subject><subject>breast MRI</subject><subject>Breast Neoplasms - diagnosis</subject><subject>Contrast Media</subject><subject>Data Interpretation, Statistical</subject><subject>Diffusion Magnetic Resonance Imaging - methods</subject><subject>Dixon</subject><subject>dynamic contrast enhancement</subject><subject>fat suppression</subject><subject>Female</subject><subject>Fourier transforms</subject><subject>Humans</subject><subject>Image Enhancement - methods</subject><subject>Image Interpretation, Computer-Assisted - methods</subject><subject>Imaging, Three-Dimensional - methods</subject><subject>Magnetic Resonance Angiography - instrumentation</subject><subject>Magnetic Resonance Angiography - methods</subject><subject>Magnetic resonance imaging</subject><subject>Medical imaging</subject><subject>Middle Aged</subject><subject>NMR</subject><subject>Nuclear magnetic resonance</subject><subject>Phantoms, Imaging</subject><subject>Reproducibility of Results</subject><subject>Sensitivity and Specificity</subject><subject>Stochastic Processes</subject><subject>TWIST</subject><subject>view sharing</subject><issn>1053-1807</issn><issn>1522-2586</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2013</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp9kc1u1DAURiMEoqWw4QGQJTZTpBT_JvGyjGgpFFBRUdlZjnPT8ZDYwfZ0OkveHA_TdsGClS3r3KPr7yuKlwQfEYzp2-UY7BHluKKPin0iKC2paKrH-Y4FK0mD673iWYxLjLGUXDwt9jLMGi7ofvH7eJoGa3Sy3iHfo2RHKANEP9xAh7S7tv466GmxQWubFigmbxY6JmtQCnoJJvlgIaJZWtuYDsvO3maPdajbOD1myniXwZhKcAvtTHbOOgOHqA2QX1He_HnxpNdDhBd350Hx_eT95fxDef719Gx-fF4aJgUtKwDDSVtRyYkxnJmWcSYlNUbrXoiq6Y2uu7ZtgEBVy_xrYbgmugctTVcxdlDMdt4p-F8riEmNNhoYBu3Ar6IinNc5MFHJjL7-B136VXB5uy0lZC1yepl6s6NM8DEG6NUU7KjDRhGstsWobTHqbzEZfnWnXLUjdA_ofRMZIDtgbQfY_EelPn7-dnYvLXczOXu4fZjR4aeqalYLdfXlVM0_XZKLq3cX6gf7A4Beqgg</recordid><startdate>201311</startdate><enddate>201311</enddate><creator>Le, Yuan</creator><creator>Kipfer, Hal</creator><creator>Majidi, Shadie</creator><creator>Holz, Stephanie</creator><creator>Dale, Brian</creator><creator>Geppert, Christian</creator><creator>Kroeker, Randall</creator><creator>Lin, Chen</creator><general>Blackwell Publishing Ltd</general><general>Wiley Subscription Services, Inc</general><scope>BSCLL</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QO</scope><scope>7TK</scope><scope>8FD</scope><scope>FR3</scope><scope>K9.</scope><scope>P64</scope><scope>7X8</scope></search><sort><creationdate>201311</creationdate><title>Application of time-resolved angiography with stochastic trajectories (twist)-dixon in dynamic contrast-enhanced (dce) breast mri</title><author>Le, Yuan ; Kipfer, Hal ; Majidi, Shadie ; Holz, Stephanie ; Dale, Brian ; Geppert, Christian ; Kroeker, Randall ; Lin, Chen</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3952-6eec41b62941cc43cb343992ccaaf5568fca7dbb8e1e6791805c4a1afea9cd633</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2013</creationdate><topic>Adult</topic><topic>Aged</topic><topic>Algorithms</topic><topic>breast MRI</topic><topic>Breast Neoplasms - diagnosis</topic><topic>Contrast Media</topic><topic>Data Interpretation, Statistical</topic><topic>Diffusion Magnetic Resonance Imaging - methods</topic><topic>Dixon</topic><topic>dynamic contrast enhancement</topic><topic>fat suppression</topic><topic>Female</topic><topic>Fourier transforms</topic><topic>Humans</topic><topic>Image Enhancement - methods</topic><topic>Image Interpretation, Computer-Assisted - methods</topic><topic>Imaging, Three-Dimensional - methods</topic><topic>Magnetic Resonance Angiography - instrumentation</topic><topic>Magnetic Resonance Angiography - methods</topic><topic>Magnetic resonance imaging</topic><topic>Medical imaging</topic><topic>Middle Aged</topic><topic>NMR</topic><topic>Nuclear magnetic resonance</topic><topic>Phantoms, Imaging</topic><topic>Reproducibility of Results</topic><topic>Sensitivity and Specificity</topic><topic>Stochastic Processes</topic><topic>TWIST</topic><topic>view sharing</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Le, Yuan</creatorcontrib><creatorcontrib>Kipfer, Hal</creatorcontrib><creatorcontrib>Majidi, Shadie</creatorcontrib><creatorcontrib>Holz, Stephanie</creatorcontrib><creatorcontrib>Dale, Brian</creatorcontrib><creatorcontrib>Geppert, Christian</creatorcontrib><creatorcontrib>Kroeker, Randall</creatorcontrib><creatorcontrib>Lin, Chen</creatorcontrib><collection>Istex</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Biotechnology Research Abstracts</collection><collection>Neurosciences Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>MEDLINE - Academic</collection><jtitle>Journal of magnetic resonance imaging</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Le, Yuan</au><au>Kipfer, Hal</au><au>Majidi, Shadie</au><au>Holz, Stephanie</au><au>Dale, Brian</au><au>Geppert, Christian</au><au>Kroeker, Randall</au><au>Lin, Chen</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Application of time-resolved angiography with stochastic trajectories (twist)-dixon in dynamic contrast-enhanced (dce) breast mri</atitle><jtitle>Journal of magnetic resonance imaging</jtitle><addtitle>J. Magn. Reson. Imaging</addtitle><date>2013-11</date><risdate>2013</risdate><volume>38</volume><issue>5</issue><spage>1033</spage><epage>1042</epage><pages>1033-1042</pages><issn>1053-1807</issn><eissn>1522-2586</eissn><abstract>Purpose
To evaluate a magnetic resonance imaging (MRI) technique that integrates time‐resolved angiography with stochastic trajectories (TWIST) view sharing and Dixon for a breast dynamic contrast‐enhanced (DCE)‐MRI application.
Materials and Methods
Simulation study: K‐space data at six timepoints (1 pre‐, 5 postcontrast) were generated by performing Fourier transform on a digital “phantom” with 3–9 mm enhancing lesions and three types of enhancement curves (persistent, plateau, washout). Images were reconstructed with and without TWIST. Clinical study: Six TWIST‐Dixon image sets (one pre‐, five postcontrast) were acquired in 18 patients on a 3T scanner, followed by one conventional image set. The last TWIST‐Dixon and the conventional images were scored for seven criteria: perceived signal‐to‐noise ratio (P.SNR), visualization of anatomy, fat suppression (FS) accuracy, FS uniformity, ghosting artifact, edge ringing artifact, and overall image quality (IQ).
Results
Simulation study: With proper TWIST parameters (pA ≥33%, pB ≥50%), the enhancement underestimation was 5% or less for tumor size ≥5 mm. Clinical study: TWIST‐Dixon images have significantly better scores in all criteria except for ghosting artifacts, where the difference was not significant.
Conclusion
With proper parameters, TWIST‐Dixon provides higher perceived SNR, more accurate fat suppression, and better overall image quality for breast DCE‐MRI without sacrificing accuracy in the enhancement estimation. J. Magn. Reson. Imaging 2013;38:1033–1042. © 2013 Wiley Periodicals, Inc.</abstract><cop>United States</cop><pub>Blackwell Publishing Ltd</pub><pmid>24038452</pmid><doi>10.1002/jmri.24062</doi><tpages>10</tpages></addata></record> |
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| subjects | Adult Aged Algorithms breast MRI Breast Neoplasms - diagnosis Contrast Media Data Interpretation, Statistical Diffusion Magnetic Resonance Imaging - methods Dixon dynamic contrast enhancement fat suppression Female Fourier transforms Humans Image Enhancement - methods Image Interpretation, Computer-Assisted - methods Imaging, Three-Dimensional - methods Magnetic Resonance Angiography - instrumentation Magnetic Resonance Angiography - methods Magnetic resonance imaging Medical imaging Middle Aged NMR Nuclear magnetic resonance Phantoms, Imaging Reproducibility of Results Sensitivity and Specificity Stochastic Processes TWIST view sharing |
| title | Application of time-resolved angiography with stochastic trajectories (twist)-dixon in dynamic contrast-enhanced (dce) breast mri |
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