Bone mineral density measurements derived from dual-layer spectral CT enable opportunistic screening for osteoporosis
Objective To investigate the in vivo applicability of non-contrast-enhanced hydroxyapatite (HA)-specific bone mineral density (BMD) measurements based on dual-layer CT (DLCT). Methods A spine phantom containing three artificial vertebral bodies with known HA densities was measured to obtain spectral...
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creator | Roski, Ferdinand Hammel, Johannes Mei, Kai Baum, Thomas Kirschke, Jan S. Laugerette, Alexis Kopp, Felix K. Bodden, Jannis Pfeiffer, Daniela Pfeiffer, Franz Rummeny, Ernst J. Noël, Peter B. Gersing, Alexandra S. Schwaiger, Benedikt J. |
description | Objective
To investigate the in vivo applicability of non-contrast-enhanced hydroxyapatite (HA)-specific bone mineral density (BMD) measurements based on dual-layer CT (DLCT).
Methods
A spine phantom containing three artificial vertebral bodies with known HA densities was measured to obtain spectral data using DLCT and quantitative CT (QCT), simulating different patient positions and grades of obesity. BMD was calculated from virtual monoenergetic images at 50 and 200 keV. HA-specific BMD values of 174 vertebrae in 33 patients (66 ± 18 years; 33% women) were determined in non-contrast routine DLCT and compared with corresponding QCT-based BMD values.
Results
Examining the phantom, HA-specific BMD measurements were on a par with QCT measurements. In vivo measurements revealed strong correlations between DLCT and QCT (
r
= 0.987 [95% confidence interval, 0.963–1.000];
p
|
doi_str_mv | 10.1007/s00330-019-06263-z |
format | Article |
fullrecord | <record><control><sourceid>proquest_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_6795615</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2232090909</sourcerecordid><originalsourceid>FETCH-LOGICAL-c474t-62fe37eaf95242b6a2bc5e5a961509b5aeafabda41d004d1a5cc0e3484f4bfa53</originalsourceid><addsrcrecordid>eNp9kUtv1DAUhS0EokPhD7BAltiwMVy_kvEGiY54SZXYlLXlODeDq8QOdlJp-uvxMKU8FsgLSz7fPfdeH0Kec3jNAdo3BUBKYMANg0Y0kt0-IBuupGActuoh2YCRW9Yao87Ik1KuAcBw1T4mZ5JzrhshNmS9SBHpFCJmN9IeYwnLgU7oyppxwriU-pjDDfZ0yGmi_epGNroDZlpm9MuxandFMbpuRJrmOeVljaEswdPiM2IMcU-HlGkqC6YqpxLKU_JocGPBZ3f3Ofn64f3V7hO7_PLx8-7dJfOqVQtrxICyRTcYLZToGic6r1E703ANptOuSq7rneI9gOq5094DSrVVg-oGp-U5eXvyndduwt7XferAds5hcvlgkwv2byWGb3afbmzTGl2bVINXdwY5fV-xLHYKxeM4uohpLVYIKcAcT0Vf_oNepzXHul6lxFZxCQ1USpwoXz-iZBzuh-Fgj6naU6q2pmp_pmpva9GLP9e4L_kVYwXkCShVinvMv3v_x_YHqhSyMQ</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2228413060</pqid></control><display><type>article</type><title>Bone mineral density measurements derived from dual-layer spectral CT enable opportunistic screening for osteoporosis</title><source>MEDLINE</source><source>SpringerLink Journals - AutoHoldings</source><creator>Roski, Ferdinand ; Hammel, Johannes ; Mei, Kai ; Baum, Thomas ; Kirschke, Jan S. ; Laugerette, Alexis ; Kopp, Felix K. ; Bodden, Jannis ; Pfeiffer, Daniela ; Pfeiffer, Franz ; Rummeny, Ernst J. ; Noël, Peter B. ; Gersing, Alexandra S. ; Schwaiger, Benedikt J.</creator><creatorcontrib>Roski, Ferdinand ; Hammel, Johannes ; Mei, Kai ; Baum, Thomas ; Kirschke, Jan S. ; Laugerette, Alexis ; Kopp, Felix K. ; Bodden, Jannis ; Pfeiffer, Daniela ; Pfeiffer, Franz ; Rummeny, Ernst J. ; Noël, Peter B. ; Gersing, Alexandra S. ; Schwaiger, Benedikt J.</creatorcontrib><description>Objective
To investigate the in vivo applicability of non-contrast-enhanced hydroxyapatite (HA)-specific bone mineral density (BMD) measurements based on dual-layer CT (DLCT).
Methods
A spine phantom containing three artificial vertebral bodies with known HA densities was measured to obtain spectral data using DLCT and quantitative CT (QCT), simulating different patient positions and grades of obesity. BMD was calculated from virtual monoenergetic images at 50 and 200 keV. HA-specific BMD values of 174 vertebrae in 33 patients (66 ± 18 years; 33% women) were determined in non-contrast routine DLCT and compared with corresponding QCT-based BMD values.
Results
Examining the phantom, HA-specific BMD measurements were on a par with QCT measurements. In vivo measurements revealed strong correlations between DLCT and QCT (
r
= 0.987 [95% confidence interval, 0.963–1.000];
p
< 0.001) and substantial agreement in a Bland–Altman plot.
Conclusion
DLCT-based HA-specific BMD measurements were comparable with QCT measurements in in vivo analyses. This suggests that opportunistic DLCT-based BMD measurements are an alternative to QCT, without requiring phantoms and specific protocols.
Key Points
• DLCT-based hydroxyapatite-specific BMD measurements show a substantial agreement with QCT-based BMD measurements in vivo.
• DLCT-based hydroxyapatite-specific measurements are on a par with QCT in spine phantom measurements.
• Opportunistic DLCT-based BMD measurements may be a feasible alternative for QCT, without requiring dedicated examination protocols or a phantom.</description><identifier>ISSN: 0938-7994</identifier><identifier>EISSN: 1432-1084</identifier><identifier>DOI: 10.1007/s00330-019-06263-z</identifier><identifier>PMID: 31115622</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Absorptiometry, Photon - methods ; Adult ; Algorithms ; Biocompatibility ; Biomedical materials ; Bone density ; Bone Density - physiology ; Bone mineral density ; Confidence intervals ; Correlation analysis ; Diagnostic Radiology ; Female ; Humans ; Hydroxyapatite ; Imaging ; In vivo methods and tests ; Internal Medicine ; Interventional Radiology ; Male ; Mass Screening - methods ; Medical screening ; Medicine ; Medicine & Public Health ; Middle Aged ; Musculoskeletal ; Neuroradiology ; Osteoporosis ; Osteoporosis - diagnostic imaging ; Osteoporosis - physiopathology ; Phantoms, Imaging ; Radiology ; Spine ; Spine - diagnostic imaging ; Surgical implants ; Tomography, X-Ray Computed - methods ; Ultrasound ; Vertebrae</subject><ispartof>European radiology, 2019-11, Vol.29 (11), p.6355-6363</ispartof><rights>The Author(s) 2019</rights><rights>European Radiology is a copyright of Springer, (2019). All Rights Reserved. © 2019. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c474t-62fe37eaf95242b6a2bc5e5a961509b5aeafabda41d004d1a5cc0e3484f4bfa53</citedby><cites>FETCH-LOGICAL-c474t-62fe37eaf95242b6a2bc5e5a961509b5aeafabda41d004d1a5cc0e3484f4bfa53</cites><orcidid>0000-0002-0938-2266</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s00330-019-06263-z$$EPDF$$P50$$Gspringer$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s00330-019-06263-z$$EHTML$$P50$$Gspringer$$Hfree_for_read</linktohtml><link.rule.ids>230,314,776,780,881,27903,27904,41467,42536,51297</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/31115622$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Roski, Ferdinand</creatorcontrib><creatorcontrib>Hammel, Johannes</creatorcontrib><creatorcontrib>Mei, Kai</creatorcontrib><creatorcontrib>Baum, Thomas</creatorcontrib><creatorcontrib>Kirschke, Jan S.</creatorcontrib><creatorcontrib>Laugerette, Alexis</creatorcontrib><creatorcontrib>Kopp, Felix K.</creatorcontrib><creatorcontrib>Bodden, Jannis</creatorcontrib><creatorcontrib>Pfeiffer, Daniela</creatorcontrib><creatorcontrib>Pfeiffer, Franz</creatorcontrib><creatorcontrib>Rummeny, Ernst J.</creatorcontrib><creatorcontrib>Noël, Peter B.</creatorcontrib><creatorcontrib>Gersing, Alexandra S.</creatorcontrib><creatorcontrib>Schwaiger, Benedikt J.</creatorcontrib><title>Bone mineral density measurements derived from dual-layer spectral CT enable opportunistic screening for osteoporosis</title><title>European radiology</title><addtitle>Eur Radiol</addtitle><addtitle>Eur Radiol</addtitle><description>Objective
To investigate the in vivo applicability of non-contrast-enhanced hydroxyapatite (HA)-specific bone mineral density (BMD) measurements based on dual-layer CT (DLCT).
Methods
A spine phantom containing three artificial vertebral bodies with known HA densities was measured to obtain spectral data using DLCT and quantitative CT (QCT), simulating different patient positions and grades of obesity. BMD was calculated from virtual monoenergetic images at 50 and 200 keV. HA-specific BMD values of 174 vertebrae in 33 patients (66 ± 18 years; 33% women) were determined in non-contrast routine DLCT and compared with corresponding QCT-based BMD values.
Results
Examining the phantom, HA-specific BMD measurements were on a par with QCT measurements. In vivo measurements revealed strong correlations between DLCT and QCT (
r
= 0.987 [95% confidence interval, 0.963–1.000];
p
< 0.001) and substantial agreement in a Bland–Altman plot.
Conclusion
DLCT-based HA-specific BMD measurements were comparable with QCT measurements in in vivo analyses. This suggests that opportunistic DLCT-based BMD measurements are an alternative to QCT, without requiring phantoms and specific protocols.
Key Points
• DLCT-based hydroxyapatite-specific BMD measurements show a substantial agreement with QCT-based BMD measurements in vivo.
• DLCT-based hydroxyapatite-specific measurements are on a par with QCT in spine phantom measurements.
• Opportunistic DLCT-based BMD measurements may be a feasible alternative for QCT, without requiring dedicated examination protocols or a phantom.</description><subject>Absorptiometry, Photon - methods</subject><subject>Adult</subject><subject>Algorithms</subject><subject>Biocompatibility</subject><subject>Biomedical materials</subject><subject>Bone density</subject><subject>Bone Density - physiology</subject><subject>Bone mineral density</subject><subject>Confidence intervals</subject><subject>Correlation analysis</subject><subject>Diagnostic Radiology</subject><subject>Female</subject><subject>Humans</subject><subject>Hydroxyapatite</subject><subject>Imaging</subject><subject>In vivo methods and tests</subject><subject>Internal Medicine</subject><subject>Interventional Radiology</subject><subject>Male</subject><subject>Mass Screening - methods</subject><subject>Medical screening</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Middle Aged</subject><subject>Musculoskeletal</subject><subject>Neuroradiology</subject><subject>Osteoporosis</subject><subject>Osteoporosis - diagnostic imaging</subject><subject>Osteoporosis - physiopathology</subject><subject>Phantoms, Imaging</subject><subject>Radiology</subject><subject>Spine</subject><subject>Spine - diagnostic imaging</subject><subject>Surgical implants</subject><subject>Tomography, X-Ray Computed - methods</subject><subject>Ultrasound</subject><subject>Vertebrae</subject><issn>0938-7994</issn><issn>1432-1084</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><sourceid>C6C</sourceid><sourceid>EIF</sourceid><sourceid>BENPR</sourceid><recordid>eNp9kUtv1DAUhS0EokPhD7BAltiwMVy_kvEGiY54SZXYlLXlODeDq8QOdlJp-uvxMKU8FsgLSz7fPfdeH0Kec3jNAdo3BUBKYMANg0Y0kt0-IBuupGActuoh2YCRW9Yao87Ik1KuAcBw1T4mZ5JzrhshNmS9SBHpFCJmN9IeYwnLgU7oyppxwriU-pjDDfZ0yGmi_epGNroDZlpm9MuxandFMbpuRJrmOeVljaEswdPiM2IMcU-HlGkqC6YqpxLKU_JocGPBZ3f3Ofn64f3V7hO7_PLx8-7dJfOqVQtrxICyRTcYLZToGic6r1E703ANptOuSq7rneI9gOq5094DSrVVg-oGp-U5eXvyndduwt7XferAds5hcvlgkwv2byWGb3afbmzTGl2bVINXdwY5fV-xLHYKxeM4uohpLVYIKcAcT0Vf_oNepzXHul6lxFZxCQ1USpwoXz-iZBzuh-Fgj6naU6q2pmp_pmpva9GLP9e4L_kVYwXkCShVinvMv3v_x_YHqhSyMQ</recordid><startdate>20191101</startdate><enddate>20191101</enddate><creator>Roski, Ferdinand</creator><creator>Hammel, Johannes</creator><creator>Mei, Kai</creator><creator>Baum, Thomas</creator><creator>Kirschke, Jan S.</creator><creator>Laugerette, Alexis</creator><creator>Kopp, Felix K.</creator><creator>Bodden, Jannis</creator><creator>Pfeiffer, Daniela</creator><creator>Pfeiffer, Franz</creator><creator>Rummeny, Ernst J.</creator><creator>Noël, Peter B.</creator><creator>Gersing, Alexandra S.</creator><creator>Schwaiger, Benedikt J.</creator><general>Springer Berlin Heidelberg</general><general>Springer Nature B.V</general><scope>C6C</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>3V.</scope><scope>7QO</scope><scope>7RV</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB0</scope><scope>LK8</scope><scope>M0S</scope><scope>M1P</scope><scope>M7P</scope><scope>NAPCQ</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0002-0938-2266</orcidid></search><sort><creationdate>20191101</creationdate><title>Bone mineral density measurements derived from dual-layer spectral CT enable opportunistic screening for osteoporosis</title><author>Roski, Ferdinand ; Hammel, Johannes ; Mei, Kai ; Baum, Thomas ; Kirschke, Jan S. ; Laugerette, Alexis ; Kopp, Felix K. ; Bodden, Jannis ; Pfeiffer, Daniela ; Pfeiffer, Franz ; Rummeny, Ernst J. ; Noël, Peter B. ; Gersing, Alexandra S. ; Schwaiger, Benedikt J.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c474t-62fe37eaf95242b6a2bc5e5a961509b5aeafabda41d004d1a5cc0e3484f4bfa53</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Absorptiometry, Photon - methods</topic><topic>Adult</topic><topic>Algorithms</topic><topic>Biocompatibility</topic><topic>Biomedical materials</topic><topic>Bone density</topic><topic>Bone Density - physiology</topic><topic>Bone mineral density</topic><topic>Confidence intervals</topic><topic>Correlation analysis</topic><topic>Diagnostic Radiology</topic><topic>Female</topic><topic>Humans</topic><topic>Hydroxyapatite</topic><topic>Imaging</topic><topic>In vivo methods and tests</topic><topic>Internal Medicine</topic><topic>Interventional Radiology</topic><topic>Male</topic><topic>Mass Screening - methods</topic><topic>Medical screening</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Middle Aged</topic><topic>Musculoskeletal</topic><topic>Neuroradiology</topic><topic>Osteoporosis</topic><topic>Osteoporosis - diagnostic imaging</topic><topic>Osteoporosis - physiopathology</topic><topic>Phantoms, Imaging</topic><topic>Radiology</topic><topic>Spine</topic><topic>Spine - diagnostic imaging</topic><topic>Surgical implants</topic><topic>Tomography, X-Ray Computed - methods</topic><topic>Ultrasound</topic><topic>Vertebrae</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Roski, Ferdinand</creatorcontrib><creatorcontrib>Hammel, Johannes</creatorcontrib><creatorcontrib>Mei, Kai</creatorcontrib><creatorcontrib>Baum, Thomas</creatorcontrib><creatorcontrib>Kirschke, Jan S.</creatorcontrib><creatorcontrib>Laugerette, Alexis</creatorcontrib><creatorcontrib>Kopp, Felix K.</creatorcontrib><creatorcontrib>Bodden, Jannis</creatorcontrib><creatorcontrib>Pfeiffer, Daniela</creatorcontrib><creatorcontrib>Pfeiffer, Franz</creatorcontrib><creatorcontrib>Rummeny, Ernst J.</creatorcontrib><creatorcontrib>Noël, Peter B.</creatorcontrib><creatorcontrib>Gersing, Alexandra S.</creatorcontrib><creatorcontrib>Schwaiger, Benedikt J.</creatorcontrib><collection>Springer Nature OA/Free Journals</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Biotechnology Research Abstracts</collection><collection>Nursing & Allied Health Database</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>ProQuest Biological Science Collection</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Biological Science Database</collection><collection>Nursing & Allied Health Premium</collection><collection>Advanced Technologies & Aerospace Database</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>European radiology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Roski, Ferdinand</au><au>Hammel, Johannes</au><au>Mei, Kai</au><au>Baum, Thomas</au><au>Kirschke, Jan S.</au><au>Laugerette, Alexis</au><au>Kopp, Felix K.</au><au>Bodden, Jannis</au><au>Pfeiffer, Daniela</au><au>Pfeiffer, Franz</au><au>Rummeny, Ernst J.</au><au>Noël, Peter B.</au><au>Gersing, Alexandra S.</au><au>Schwaiger, Benedikt J.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Bone mineral density measurements derived from dual-layer spectral CT enable opportunistic screening for osteoporosis</atitle><jtitle>European radiology</jtitle><stitle>Eur Radiol</stitle><addtitle>Eur Radiol</addtitle><date>2019-11-01</date><risdate>2019</risdate><volume>29</volume><issue>11</issue><spage>6355</spage><epage>6363</epage><pages>6355-6363</pages><issn>0938-7994</issn><eissn>1432-1084</eissn><abstract>Objective
To investigate the in vivo applicability of non-contrast-enhanced hydroxyapatite (HA)-specific bone mineral density (BMD) measurements based on dual-layer CT (DLCT).
Methods
A spine phantom containing three artificial vertebral bodies with known HA densities was measured to obtain spectral data using DLCT and quantitative CT (QCT), simulating different patient positions and grades of obesity. BMD was calculated from virtual monoenergetic images at 50 and 200 keV. HA-specific BMD values of 174 vertebrae in 33 patients (66 ± 18 years; 33% women) were determined in non-contrast routine DLCT and compared with corresponding QCT-based BMD values.
Results
Examining the phantom, HA-specific BMD measurements were on a par with QCT measurements. In vivo measurements revealed strong correlations between DLCT and QCT (
r
= 0.987 [95% confidence interval, 0.963–1.000];
p
< 0.001) and substantial agreement in a Bland–Altman plot.
Conclusion
DLCT-based HA-specific BMD measurements were comparable with QCT measurements in in vivo analyses. This suggests that opportunistic DLCT-based BMD measurements are an alternative to QCT, without requiring phantoms and specific protocols.
Key Points
• DLCT-based hydroxyapatite-specific BMD measurements show a substantial agreement with QCT-based BMD measurements in vivo.
• DLCT-based hydroxyapatite-specific measurements are on a par with QCT in spine phantom measurements.
• Opportunistic DLCT-based BMD measurements may be a feasible alternative for QCT, without requiring dedicated examination protocols or a phantom.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><pmid>31115622</pmid><doi>10.1007/s00330-019-06263-z</doi><tpages>9</tpages><orcidid>https://orcid.org/0000-0002-0938-2266</orcidid><oa>free_for_read</oa></addata></record> |
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source | MEDLINE; SpringerLink Journals - AutoHoldings |
subjects | Absorptiometry, Photon - methods Adult Algorithms Biocompatibility Biomedical materials Bone density Bone Density - physiology Bone mineral density Confidence intervals Correlation analysis Diagnostic Radiology Female Humans Hydroxyapatite Imaging In vivo methods and tests Internal Medicine Interventional Radiology Male Mass Screening - methods Medical screening Medicine Medicine & Public Health Middle Aged Musculoskeletal Neuroradiology Osteoporosis Osteoporosis - diagnostic imaging Osteoporosis - physiopathology Phantoms, Imaging Radiology Spine Spine - diagnostic imaging Surgical implants Tomography, X-Ray Computed - methods Ultrasound Vertebrae |
title | Bone mineral density measurements derived from dual-layer spectral CT enable opportunistic screening for osteoporosis |
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