Functional 3D Printed Patient-Specific Modeling of Severe Aortic Stenosis
Electrocardiogram (ECG)-gated mid-systolic CT DICOM (Digital Imaging and Communications in Medicine) images were imported into anatomic modeling software (Mimics X64 15.0, Materialise, Leuven, Belgium) with which the anatomic regions of interest (left ventricular outflow tract [LVOT], aortic valve,...
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| Veröffentlicht in: | Journal of the American College of Cardiology 2014-09, Vol.64 (10), p.1066-1068 |
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| container_title | Journal of the American College of Cardiology |
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| creator | Maragiannis, Dimitrios, MD Jackson, Matthew S., MEng Igo, Stephen R., BSc Chang, Su Min, MD Zoghbi, William A., MD Little, Stephen H., MD |
| description | Electrocardiogram (ECG)-gated mid-systolic CT DICOM (Digital Imaging and Communications in Medicine) images were imported into anatomic modeling software (Mimics X64 15.0, Materialise, Leuven, Belgium) with which the anatomic regions of interest (left ventricular outflow tract [LVOT], aortic valve, and proximal ascending aorta) were isolated and calcified regions identified. Because severe AS is a clinical condition with a relatively fixed AVA, the restricted temporal resolution of CT is potentially only a minor limitation to the modeling objective. |
| doi_str_mv | 10.1016/j.jacc.2014.05.058 |
| format | Article |
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Because severe AS is a clinical condition with a relatively fixed AVA, the restricted temporal resolution of CT is potentially only a minor limitation to the modeling objective.</description><subject>3-D printers</subject><subject>Aortic Valve Stenosis - diagnostic imaging</subject><subject>Aortic Valve Stenosis - surgery</subject><subject>Calcification</subject><subject>Cardiology</subject><subject>Cardiovascular</subject><subject>Coronary vessels</subject><subject>Echocardiography, Doppler - methods</subject><subject>Electrocardiography</subject><subject>Heart Valve Prosthesis Implantation - methods</subject><subject>Humans</subject><subject>Image Interpretation, Computer-Assisted</subject><subject>Imaging, Three-Dimensional - methods</subject><subject>Internal Medicine</subject><subject>Medical equipment</subject><subject>Models, Anatomic</subject><subject>Patients</subject><subject>Preoperative Care - methods</subject><subject>Retrospective Studies</subject><subject>Severity of Illness Index</subject><subject>Software</subject><subject>Stroke</subject><subject>Tomography, X-Ray Computed - methods</subject><subject>Ultrasonic imaging</subject><issn>0735-1097</issn><issn>1558-3597</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp9kV1rFDEUhoNY7Lb1D3ghA954M2s-Jh8DIpRqtdDSwup1mD1zIhlnJ2uSKfTfm2FbhV5IDuTiPHnJeQ4hbxhdM8rUh2E9dABrTlmzprKUeUFWTEpTC9nql2RFtZA1o60-JicpDZRSZVj7ihxzyVrKG7kiV5fzBNmHqRsr8bm6i37K2Fd3XfY45XqzR_DOQ3UTehz99LMKrtrgPUaszkPMpbPJOIXk0xk5ct2Y8PXjfUp-XH75fvGtvr79enVxfl2DbNpc940zminZlJ-A7nljtHFMbbmmWgult20nocWGlsNU3ztEKB3pGGhwDsUpeX_I3cfwe8aU7c4nwHHsJgxzskyqYoIrYwr67hk6hDmWUQullKGN5K0sFD9QEENKEZ3dR7_r4oNl1C6i7WAX0XYRbakstUS_fYyetzvs_z55MluAjwcAi4t7j9EmKEoBex8Rsu2D_3_-p2fPoej30I2_8AHTvzls4pbazbLqZdOsaBNCcPEHfwuhVA</recordid><startdate>20140909</startdate><enddate>20140909</enddate><creator>Maragiannis, Dimitrios, MD</creator><creator>Jackson, Matthew S., MEng</creator><creator>Igo, Stephen R., BSc</creator><creator>Chang, Su Min, MD</creator><creator>Zoghbi, William A., MD</creator><creator>Little, Stephen H., MD</creator><general>Elsevier Inc</general><general>Elsevier Limited</general><scope>6I.</scope><scope>AAFTH</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>7T5</scope><scope>7TK</scope><scope>H94</scope><scope>K9.</scope><scope>NAPCQ</scope><scope>7X8</scope></search><sort><creationdate>20140909</creationdate><title>Functional 3D Printed Patient-Specific Modeling of Severe Aortic Stenosis</title><author>Maragiannis, Dimitrios, MD ; Jackson, Matthew S., MEng ; Igo, Stephen R., BSc ; Chang, Su Min, MD ; Zoghbi, William A., MD ; Little, Stephen H., MD</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c549t-d4f871654819c7d24878f16b27077367b9a5c9e4040416ddfeec0775f1c7cffe3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2014</creationdate><topic>3-D printers</topic><topic>Aortic Valve Stenosis - diagnostic imaging</topic><topic>Aortic Valve Stenosis - surgery</topic><topic>Calcification</topic><topic>Cardiology</topic><topic>Cardiovascular</topic><topic>Coronary vessels</topic><topic>Echocardiography, Doppler - methods</topic><topic>Electrocardiography</topic><topic>Heart Valve Prosthesis Implantation - methods</topic><topic>Humans</topic><topic>Image Interpretation, Computer-Assisted</topic><topic>Imaging, Three-Dimensional - methods</topic><topic>Internal Medicine</topic><topic>Medical equipment</topic><topic>Models, Anatomic</topic><topic>Patients</topic><topic>Preoperative Care - methods</topic><topic>Retrospective Studies</topic><topic>Severity of Illness Index</topic><topic>Software</topic><topic>Stroke</topic><topic>Tomography, X-Ray Computed - methods</topic><topic>Ultrasonic imaging</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Maragiannis, Dimitrios, MD</creatorcontrib><creatorcontrib>Jackson, Matthew S., MEng</creatorcontrib><creatorcontrib>Igo, Stephen R., BSc</creatorcontrib><creatorcontrib>Chang, Su Min, MD</creatorcontrib><creatorcontrib>Zoghbi, William A., MD</creatorcontrib><creatorcontrib>Little, Stephen H., MD</creatorcontrib><collection>ScienceDirect Open Access Titles</collection><collection>Elsevier:ScienceDirect:Open Access</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Immunology Abstracts</collection><collection>Neurosciences Abstracts</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Premium</collection><collection>MEDLINE - Academic</collection><jtitle>Journal of the American College of Cardiology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Maragiannis, Dimitrios, MD</au><au>Jackson, Matthew S., MEng</au><au>Igo, Stephen R., BSc</au><au>Chang, Su Min, MD</au><au>Zoghbi, William A., MD</au><au>Little, Stephen H., MD</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Functional 3D Printed Patient-Specific Modeling of Severe Aortic Stenosis</atitle><jtitle>Journal of the American College of Cardiology</jtitle><addtitle>J Am Coll Cardiol</addtitle><date>2014-09-09</date><risdate>2014</risdate><volume>64</volume><issue>10</issue><spage>1066</spage><epage>1068</epage><pages>1066-1068</pages><issn>0735-1097</issn><eissn>1558-3597</eissn><abstract>Electrocardiogram (ECG)-gated mid-systolic CT DICOM (Digital Imaging and Communications in Medicine) images were imported into anatomic modeling software (Mimics X64 15.0, Materialise, Leuven, Belgium) with which the anatomic regions of interest (left ventricular outflow tract [LVOT], aortic valve, and proximal ascending aorta) were isolated and calcified regions identified. 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| source | MEDLINE; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; ScienceDirect Journals (5 years ago - present); Alma/SFX Local Collection |
| subjects | 3-D printers Aortic Valve Stenosis - diagnostic imaging Aortic Valve Stenosis - surgery Calcification Cardiology Cardiovascular Coronary vessels Echocardiography, Doppler - methods Electrocardiography Heart Valve Prosthesis Implantation - methods Humans Image Interpretation, Computer-Assisted Imaging, Three-Dimensional - methods Internal Medicine Medical equipment Models, Anatomic Patients Preoperative Care - methods Retrospective Studies Severity of Illness Index Software Stroke Tomography, X-Ray Computed - methods Ultrasonic imaging |
| title | Functional 3D Printed Patient-Specific Modeling of Severe Aortic Stenosis |
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