A Trimodality Comparison of Volumetric Bone Imaging Technologies. Part III: SD, SEE, LSC Association With Fragility Fractures
Abstract Part II of this 3-part series demonstrated 1-yr precision, standard error of the estimate, and 1-yr least significant change for volumetric bone outcomes determined using peripheral (p) quantitative computed tomography (QCT) and peripheral magnetic resonance imaging (pMRI) modalities in viv...
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| Veröffentlicht in: | Journal of clinical densitometry 2015-07, Vol.18 (3), p.408-418 |
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| creator | Wong, Andy K.O Beattie, Karen A Min, Kevin K.H Merali, Zamir Webber, Colin E Gordon, Christopher L Papaioannou, Alexandra Cheung, Angela M.W Adachi, Jonathan D |
| description | Abstract Part II of this 3-part series demonstrated 1-yr precision, standard error of the estimate, and 1-yr least significant change for volumetric bone outcomes determined using peripheral (p) quantitative computed tomography (QCT) and peripheral magnetic resonance imaging (pMRI) modalities in vivo. However, no clinically relevant outcomes have been linked to these measures of change. This study examined 97 women with mean age of 75 ± 9 yr and body mass index of 26.84 ± 4.77 kg/m2 , demonstrating a lack of association between fragility fractures and standard deviation, least significant change and standard error of the estimate-based unit differences in volumetric bone outcomes derived from both pMRI and pQCT. Only cortical volumetric bone mineral density and cortical thickness derived from high-resolution pQCT images were associated with an increased odds for fractures. The same measures obtained by pQCT erred toward significance. Despite the smaller 1-yr and short-term precision error for measures at the tibia vs the radius, the associations with fractures observed at the radius were larger than at the tibia for high-resolution pQCT. Unit differences in cortical thickness and cortical volumetric bone mineral density able to yield a 50% increase in odds for fractures were quantified here and suggested as a reference for future power computations. |
| doi_str_mv | 10.1016/j.jocd.2014.07.003 |
| format | Article |
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Part III: SD, SEE, LSC Association With Fragility Fractures</title><source>MEDLINE</source><source>Elsevier ScienceDirect Journals</source><creator>Wong, Andy K.O ; Beattie, Karen A ; Min, Kevin K.H ; Merali, Zamir ; Webber, Colin E ; Gordon, Christopher L ; Papaioannou, Alexandra ; Cheung, Angela M.W ; Adachi, Jonathan D</creator><creatorcontrib>Wong, Andy K.O ; Beattie, Karen A ; Min, Kevin K.H ; Merali, Zamir ; Webber, Colin E ; Gordon, Christopher L ; Papaioannou, Alexandra ; Cheung, Angela M.W ; Adachi, Jonathan D</creatorcontrib><description>Abstract Part II of this 3-part series demonstrated 1-yr precision, standard error of the estimate, and 1-yr least significant change for volumetric bone outcomes determined using peripheral (p) quantitative computed tomography (QCT) and peripheral magnetic resonance imaging (pMRI) modalities in vivo. However, no clinically relevant outcomes have been linked to these measures of change. This study examined 97 women with mean age of 75 ± 9 yr and body mass index of 26.84 ± 4.77 kg/m2 , demonstrating a lack of association between fragility fractures and standard deviation, least significant change and standard error of the estimate-based unit differences in volumetric bone outcomes derived from both pMRI and pQCT. Only cortical volumetric bone mineral density and cortical thickness derived from high-resolution pQCT images were associated with an increased odds for fractures. The same measures obtained by pQCT erred toward significance. Despite the smaller 1-yr and short-term precision error for measures at the tibia vs the radius, the associations with fractures observed at the radius were larger than at the tibia for high-resolution pQCT. Unit differences in cortical thickness and cortical volumetric bone mineral density able to yield a 50% increase in odds for fractures were quantified here and suggested as a reference for future power computations.</description><identifier>ISSN: 1094-6950</identifier><identifier>EISSN: 1559-0747</identifier><identifier>DOI: 10.1016/j.jocd.2014.07.003</identifier><identifier>PMID: 25129407</identifier><language>eng</language><publisher>United States: Elsevier Inc</publisher><subject>Absorptiometry, Photon ; Aged ; Aged, 80 and over ; Body Mass Index ; Bone Density ; Clinical sensitivity ; Cohort Studies ; Endocrinology & Metabolism ; Female ; Fractures, Bone - diagnosis ; Fractures, Bone - epidemiology ; fragility fractures ; Humans ; least significant change ; Magnetic Resonance Imaging ; Odds Ratio ; Osteoporosis - complications ; Osteoporosis - diagnostic imaging ; Osteoporosis - pathology ; pMRI ; pQCT ; Radius ; Sensitivity and Specificity ; Tibia ; Tomography, X-Ray Computed</subject><ispartof>Journal of clinical densitometry, 2015-07, Vol.18 (3), p.408-418</ispartof><rights>The International Society for Clinical Densitometry</rights><rights>2015 The International Society for Clinical Densitometry</rights><rights>Copyright © 2015 The International Society for Clinical Densitometry. 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All rights reserved.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c580t-74d39b98844f8c5deadc3bcd3bed8b1295e9399962e01f413f0e8a561c189e963</citedby><cites>FETCH-LOGICAL-c580t-74d39b98844f8c5deadc3bcd3bed8b1295e9399962e01f413f0e8a561c189e963</cites><orcidid>0000-0001-8540-8854 ; 0000-0001-6882-9075</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S1094695014001954$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>230,314,776,780,881,3537,27901,27902,65306</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/25129407$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Wong, Andy K.O</creatorcontrib><creatorcontrib>Beattie, Karen A</creatorcontrib><creatorcontrib>Min, Kevin K.H</creatorcontrib><creatorcontrib>Merali, Zamir</creatorcontrib><creatorcontrib>Webber, Colin E</creatorcontrib><creatorcontrib>Gordon, Christopher L</creatorcontrib><creatorcontrib>Papaioannou, Alexandra</creatorcontrib><creatorcontrib>Cheung, Angela M.W</creatorcontrib><creatorcontrib>Adachi, Jonathan D</creatorcontrib><title>A Trimodality Comparison of Volumetric Bone Imaging Technologies. Part III: SD, SEE, LSC Association With Fragility Fractures</title><title>Journal of clinical densitometry</title><addtitle>J Clin Densitom</addtitle><description>Abstract Part II of this 3-part series demonstrated 1-yr precision, standard error of the estimate, and 1-yr least significant change for volumetric bone outcomes determined using peripheral (p) quantitative computed tomography (QCT) and peripheral magnetic resonance imaging (pMRI) modalities in vivo. However, no clinically relevant outcomes have been linked to these measures of change. This study examined 97 women with mean age of 75 ± 9 yr and body mass index of 26.84 ± 4.77 kg/m2 , demonstrating a lack of association between fragility fractures and standard deviation, least significant change and standard error of the estimate-based unit differences in volumetric bone outcomes derived from both pMRI and pQCT. Only cortical volumetric bone mineral density and cortical thickness derived from high-resolution pQCT images were associated with an increased odds for fractures. The same measures obtained by pQCT erred toward significance. Despite the smaller 1-yr and short-term precision error for measures at the tibia vs the radius, the associations with fractures observed at the radius were larger than at the tibia for high-resolution pQCT. Unit differences in cortical thickness and cortical volumetric bone mineral density able to yield a 50% increase in odds for fractures were quantified here and suggested as a reference for future power computations.</description><subject>Absorptiometry, Photon</subject><subject>Aged</subject><subject>Aged, 80 and over</subject><subject>Body Mass Index</subject><subject>Bone Density</subject><subject>Clinical sensitivity</subject><subject>Cohort Studies</subject><subject>Endocrinology & Metabolism</subject><subject>Female</subject><subject>Fractures, Bone - diagnosis</subject><subject>Fractures, Bone - epidemiology</subject><subject>fragility fractures</subject><subject>Humans</subject><subject>least significant change</subject><subject>Magnetic Resonance Imaging</subject><subject>Odds Ratio</subject><subject>Osteoporosis - complications</subject><subject>Osteoporosis - diagnostic imaging</subject><subject>Osteoporosis - pathology</subject><subject>pMRI</subject><subject>pQCT</subject><subject>Radius</subject><subject>Sensitivity and Specificity</subject><subject>Tibia</subject><subject>Tomography, X-Ray Computed</subject><issn>1094-6950</issn><issn>1559-0747</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2015</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp9kkFv1DAQhSMEoqXwBzggHzk0YZzESYxQpWXZQqSVQNoFjpbjTHYdknixk0p76H-vw5YKOHDySH7v2TPfBMFLChEFmr1po9aoOoqBphHkEUDyKDinjPEQ8jR_7GvgaZhxBmfBM-dagJjSIn8anMWMxjyF_Dy4XZCt1b2pZafHI1ma_iCtdmYgpiHfTDf1OFqtyHszICl7udPDjmxR7QfTmZ1GF5Ev0o6kLMu3ZPPhkmxWq0uy3izJwjmjtBy1z_quxz25tt796xVfqXGy6J4HTxrZOXxxf14EX69X2-WncP35Y7lcrEPFChjDPK0TXvGiSNOmUKxGWaukUnVSYV1UvhWGPOGcZzECbVKaNICFZBlVtODIs-QiuDrlHqaqx1rhMFrZiYPvXNqjMFKLv28GvRc7cyMY8NhP1Ae8vg-w5ueEbhS9dgq7Tg5oJidoDgwgy3jupfFJqqxxzmLz8AwFMXMTrZi5iZmbgFx4bt706s8PPlh-g_KCdycB-jHdaLTCKY2DwlpbVKOojf5__tU_dtXpQSvZ_cAjutZMdvAABBUuFiA28-bMi0NTAMpZmtwBhAm-6A</recordid><startdate>20150701</startdate><enddate>20150701</enddate><creator>Wong, Andy K.O</creator><creator>Beattie, Karen A</creator><creator>Min, Kevin K.H</creator><creator>Merali, Zamir</creator><creator>Webber, Colin E</creator><creator>Gordon, Christopher L</creator><creator>Papaioannou, Alexandra</creator><creator>Cheung, Angela M.W</creator><creator>Adachi, Jonathan D</creator><general>Elsevier Inc</general><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>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0001-8540-8854</orcidid><orcidid>https://orcid.org/0000-0001-6882-9075</orcidid></search><sort><creationdate>20150701</creationdate><title>A Trimodality Comparison of Volumetric Bone Imaging Technologies. Part III: SD, SEE, LSC Association With Fragility Fractures</title><author>Wong, Andy K.O ; Beattie, Karen A ; Min, Kevin K.H ; Merali, Zamir ; Webber, Colin E ; Gordon, Christopher L ; Papaioannou, Alexandra ; Cheung, Angela M.W ; Adachi, Jonathan D</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c580t-74d39b98844f8c5deadc3bcd3bed8b1295e9399962e01f413f0e8a561c189e963</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2015</creationdate><topic>Absorptiometry, Photon</topic><topic>Aged</topic><topic>Aged, 80 and over</topic><topic>Body Mass Index</topic><topic>Bone Density</topic><topic>Clinical sensitivity</topic><topic>Cohort Studies</topic><topic>Endocrinology & Metabolism</topic><topic>Female</topic><topic>Fractures, Bone - diagnosis</topic><topic>Fractures, Bone - epidemiology</topic><topic>fragility fractures</topic><topic>Humans</topic><topic>least significant change</topic><topic>Magnetic Resonance Imaging</topic><topic>Odds Ratio</topic><topic>Osteoporosis - complications</topic><topic>Osteoporosis - diagnostic imaging</topic><topic>Osteoporosis - pathology</topic><topic>pMRI</topic><topic>pQCT</topic><topic>Radius</topic><topic>Sensitivity and Specificity</topic><topic>Tibia</topic><topic>Tomography, X-Ray Computed</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Wong, Andy K.O</creatorcontrib><creatorcontrib>Beattie, Karen A</creatorcontrib><creatorcontrib>Min, Kevin K.H</creatorcontrib><creatorcontrib>Merali, Zamir</creatorcontrib><creatorcontrib>Webber, Colin E</creatorcontrib><creatorcontrib>Gordon, Christopher L</creatorcontrib><creatorcontrib>Papaioannou, Alexandra</creatorcontrib><creatorcontrib>Cheung, Angela M.W</creatorcontrib><creatorcontrib>Adachi, Jonathan D</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Journal of clinical densitometry</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Wong, Andy K.O</au><au>Beattie, Karen A</au><au>Min, Kevin K.H</au><au>Merali, Zamir</au><au>Webber, Colin E</au><au>Gordon, Christopher L</au><au>Papaioannou, Alexandra</au><au>Cheung, Angela M.W</au><au>Adachi, Jonathan D</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A Trimodality Comparison of Volumetric Bone Imaging Technologies. Part III: SD, SEE, LSC Association With Fragility Fractures</atitle><jtitle>Journal of clinical densitometry</jtitle><addtitle>J Clin Densitom</addtitle><date>2015-07-01</date><risdate>2015</risdate><volume>18</volume><issue>3</issue><spage>408</spage><epage>418</epage><pages>408-418</pages><issn>1094-6950</issn><eissn>1559-0747</eissn><abstract>Abstract Part II of this 3-part series demonstrated 1-yr precision, standard error of the estimate, and 1-yr least significant change for volumetric bone outcomes determined using peripheral (p) quantitative computed tomography (QCT) and peripheral magnetic resonance imaging (pMRI) modalities in vivo. However, no clinically relevant outcomes have been linked to these measures of change. This study examined 97 women with mean age of 75 ± 9 yr and body mass index of 26.84 ± 4.77 kg/m2 , demonstrating a lack of association between fragility fractures and standard deviation, least significant change and standard error of the estimate-based unit differences in volumetric bone outcomes derived from both pMRI and pQCT. Only cortical volumetric bone mineral density and cortical thickness derived from high-resolution pQCT images were associated with an increased odds for fractures. The same measures obtained by pQCT erred toward significance. Despite the smaller 1-yr and short-term precision error for measures at the tibia vs the radius, the associations with fractures observed at the radius were larger than at the tibia for high-resolution pQCT. Unit differences in cortical thickness and cortical volumetric bone mineral density able to yield a 50% increase in odds for fractures were quantified here and suggested as a reference for future power computations.</abstract><cop>United States</cop><pub>Elsevier Inc</pub><pmid>25129407</pmid><doi>10.1016/j.jocd.2014.07.003</doi><tpages>11</tpages><orcidid>https://orcid.org/0000-0001-8540-8854</orcidid><orcidid>https://orcid.org/0000-0001-6882-9075</orcidid><oa>free_for_read</oa></addata></record> |
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| ispartof | Journal of clinical densitometry, 2015-07, Vol.18 (3), p.408-418 |
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| subjects | Absorptiometry, Photon Aged Aged, 80 and over Body Mass Index Bone Density Clinical sensitivity Cohort Studies Endocrinology & Metabolism Female Fractures, Bone - diagnosis Fractures, Bone - epidemiology fragility fractures Humans least significant change Magnetic Resonance Imaging Odds Ratio Osteoporosis - complications Osteoporosis - diagnostic imaging Osteoporosis - pathology pMRI pQCT Radius Sensitivity and Specificity Tibia Tomography, X-Ray Computed |
| title | A Trimodality Comparison of Volumetric Bone Imaging Technologies. Part III: SD, SEE, LSC Association With Fragility Fractures |
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