Cortical thickness mapping at segmented regions in the distal radius using HR-pQCT
Introduction An advanced method of analyzing the cortical bone microarchitecture of the distal radius using high-resolution peripheral quantitative computed tomography (HR-pQCT) was developed. Materials and methods The subjects were 60 women (20: aged 30–49, 20: aged 50–69, and 20: aged 70–89 years)...
Gespeichert in:
Veröffentlicht in: | Journal of bone and mineral metabolism 2022-11, Vol.40 (6), p.1021-1032 |
---|---|
Hauptverfasser: | , , , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 1032 |
---|---|
container_issue | 6 |
container_start_page | 1021 |
container_title | Journal of bone and mineral metabolism |
container_volume | 40 |
creator | Ota, Shingo Chiba, Ko Okazaki, Narihiro Yonekura, Akihiko Tomita, Masato Osaki, Makoto |
description | Introduction
An advanced method of analyzing the cortical bone microarchitecture of the distal radius using high-resolution peripheral quantitative computed tomography (HR-pQCT) was developed.
Materials and methods
The subjects were 60 women (20: aged 30–49, 20: aged 50–69, and 20: aged 70–89 years). The distal radius was scanned by HR-pQCT, and its cortical volumetric bone mineral density (Ct.vBMD), cortical porosity (Ct.Po), and cortical thickness (Ct.Th) were measured. The cortical bone was also divided into three areas according to whether its thickness was 1.0 mm, and the percentage of each surface area in the total surface area of cortical bone was calculated (Ct.Th (1.0), respectively). The cortical bone at the distal radius was further segmented into dorsal, palmar, radial, and ulnar sides, and the above-described parameters were measured in these regions.
Results
Integral analysis showed that Ct.vBMD and Ct.Th decreased and Ct.Po increased with age (
R
= − 0.62, − 0.55, and 0.54). Ct.Th ( |
doi_str_mv | 10.1007/s00774-022-01370-2 |
format | Article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_2723815178</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2723815178</sourcerecordid><originalsourceid>FETCH-LOGICAL-c327t-f169a7e37a1ce2bf9337cb70a4ef76be12ac5c9db7691bee86582e6848e9b5d63</originalsourceid><addsrcrecordid>eNp9kE1LxDAQQIMouK7-AU8FL16i-Wia9iiLusKCuKznkKbTNev2w0x78N-btYLgwcvM5b1heIRccnbDGdO3GIdOKROCMi41o-KIzHgqFVUZS4_JjBU8pbnWxSk5Q9wxxrXSfEbWiy4M3tl9Mrx5994CYtLYvvftNrFDgrBtoB2gSgJsfddi4ttIQlJ5HKIUbOVHTEY88Ms17V8Wm3NyUts9wsXPnpPXh_vNYklXz49Pi7sVdVLogdY8K6wGqS13IMq6kFK7UjObQq2zEriwTrmiKnVW8BIgz1QuIMvTHIpSVZmck-vpbh-6jxFwMI1HB_u9baEb0QgtZM4V13lEr_6gu24MbfzOiLxgTAnF0kiJiXKhQwxQmz74xoZPw5k5ZDZTZhMzm-_MRkRJThJGuN1C-D39j_UFBrp_eg</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2890052504</pqid></control><display><type>article</type><title>Cortical thickness mapping at segmented regions in the distal radius using HR-pQCT</title><source>SpringerLink Journals - AutoHoldings</source><creator>Ota, Shingo ; Chiba, Ko ; Okazaki, Narihiro ; Yonekura, Akihiko ; Tomita, Masato ; Osaki, Makoto</creator><creatorcontrib>Ota, Shingo ; Chiba, Ko ; Okazaki, Narihiro ; Yonekura, Akihiko ; Tomita, Masato ; Osaki, Makoto</creatorcontrib><description>Introduction
An advanced method of analyzing the cortical bone microarchitecture of the distal radius using high-resolution peripheral quantitative computed tomography (HR-pQCT) was developed.
Materials and methods
The subjects were 60 women (20: aged 30–49, 20: aged 50–69, and 20: aged 70–89 years). The distal radius was scanned by HR-pQCT, and its cortical volumetric bone mineral density (Ct.vBMD), cortical porosity (Ct.Po), and cortical thickness (Ct.Th) were measured. The cortical bone was also divided into three areas according to whether its thickness was < 0.5 mm, 0.5–1.0 mm, or > 1.0 mm, and the percentage of each surface area in the total surface area of cortical bone was calculated (Ct.Th (<0.5), Ct.Th (0.5–1.0), Ct.Th (>1.0), respectively). The cortical bone at the distal radius was further segmented into dorsal, palmar, radial, and ulnar sides, and the above-described parameters were measured in these regions.
Results
Integral analysis showed that Ct.vBMD and Ct.Th decreased and Ct.Po increased with age (
R
= − 0.62, − 0.55, and 0.54). Ct.Th (< 0.5) expanded with age (
R
= 0.49), with the rate of change between those aged 30–49 years and those aged 50–69 years being 106.7%. On regional analysis, the expansion of Ct.Th (< 0.5) with age was particularly marked on the dorsal and palmar side (
R
= 0.51 and 0.49), where the rate of change between those aged 30–49 years and those aged 50–69 years was the highest, at 196.1 and 149.6%.
Conclusion
The method to identify areas of cortical bone thinning in the segmented regions of the dorsal, palmar, radial, and ulnar sides of the distal radius using HR-pQCT may offer a sensitive assessment of age-related deterioration of cortical bone.</description><identifier>ISSN: 0914-8779</identifier><identifier>EISSN: 1435-5604</identifier><identifier>DOI: 10.1007/s00774-022-01370-2</identifier><language>eng</language><publisher>Singapore: Springer Nature Singapore</publisher><subject>Age ; Bone density ; Bone mineral density ; Bone surgery ; Computed tomography ; Cortical bone ; Fractures ; Medicine ; Medicine & Public Health ; Metabolic Diseases ; Metabolism ; Original Article ; Orthopedics ; Osteoporosis ; Porosity ; Radius ; Surface area ; Tomography ; Variance analysis</subject><ispartof>Journal of bone and mineral metabolism, 2022-11, Vol.40 (6), p.1021-1032</ispartof><rights>The Japanese Society Bone and Mineral Research 2022. Springer Nature or its licensor holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c327t-f169a7e37a1ce2bf9337cb70a4ef76be12ac5c9db7691bee86582e6848e9b5d63</cites><orcidid>0000-0003-2285-5264</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/s00774-022-01370-2$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s00774-022-01370-2$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,780,784,27923,27924,41487,42556,51318</link.rule.ids></links><search><creatorcontrib>Ota, Shingo</creatorcontrib><creatorcontrib>Chiba, Ko</creatorcontrib><creatorcontrib>Okazaki, Narihiro</creatorcontrib><creatorcontrib>Yonekura, Akihiko</creatorcontrib><creatorcontrib>Tomita, Masato</creatorcontrib><creatorcontrib>Osaki, Makoto</creatorcontrib><title>Cortical thickness mapping at segmented regions in the distal radius using HR-pQCT</title><title>Journal of bone and mineral metabolism</title><addtitle>J Bone Miner Metab</addtitle><description>Introduction
An advanced method of analyzing the cortical bone microarchitecture of the distal radius using high-resolution peripheral quantitative computed tomography (HR-pQCT) was developed.
Materials and methods
The subjects were 60 women (20: aged 30–49, 20: aged 50–69, and 20: aged 70–89 years). The distal radius was scanned by HR-pQCT, and its cortical volumetric bone mineral density (Ct.vBMD), cortical porosity (Ct.Po), and cortical thickness (Ct.Th) were measured. The cortical bone was also divided into three areas according to whether its thickness was < 0.5 mm, 0.5–1.0 mm, or > 1.0 mm, and the percentage of each surface area in the total surface area of cortical bone was calculated (Ct.Th (<0.5), Ct.Th (0.5–1.0), Ct.Th (>1.0), respectively). The cortical bone at the distal radius was further segmented into dorsal, palmar, radial, and ulnar sides, and the above-described parameters were measured in these regions.
Results
Integral analysis showed that Ct.vBMD and Ct.Th decreased and Ct.Po increased with age (
R
= − 0.62, − 0.55, and 0.54). Ct.Th (< 0.5) expanded with age (
R
= 0.49), with the rate of change between those aged 30–49 years and those aged 50–69 years being 106.7%. On regional analysis, the expansion of Ct.Th (< 0.5) with age was particularly marked on the dorsal and palmar side (
R
= 0.51 and 0.49), where the rate of change between those aged 30–49 years and those aged 50–69 years was the highest, at 196.1 and 149.6%.
Conclusion
The method to identify areas of cortical bone thinning in the segmented regions of the dorsal, palmar, radial, and ulnar sides of the distal radius using HR-pQCT may offer a sensitive assessment of age-related deterioration of cortical bone.</description><subject>Age</subject><subject>Bone density</subject><subject>Bone mineral density</subject><subject>Bone surgery</subject><subject>Computed tomography</subject><subject>Cortical bone</subject><subject>Fractures</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Metabolic Diseases</subject><subject>Metabolism</subject><subject>Original Article</subject><subject>Orthopedics</subject><subject>Osteoporosis</subject><subject>Porosity</subject><subject>Radius</subject><subject>Surface area</subject><subject>Tomography</subject><subject>Variance analysis</subject><issn>0914-8779</issn><issn>1435-5604</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><recordid>eNp9kE1LxDAQQIMouK7-AU8FL16i-Wia9iiLusKCuKznkKbTNev2w0x78N-btYLgwcvM5b1heIRccnbDGdO3GIdOKROCMi41o-KIzHgqFVUZS4_JjBU8pbnWxSk5Q9wxxrXSfEbWiy4M3tl9Mrx5994CYtLYvvftNrFDgrBtoB2gSgJsfddi4ttIQlJ5HKIUbOVHTEY88Ms17V8Wm3NyUts9wsXPnpPXh_vNYklXz49Pi7sVdVLogdY8K6wGqS13IMq6kFK7UjObQq2zEriwTrmiKnVW8BIgz1QuIMvTHIpSVZmck-vpbh-6jxFwMI1HB_u9baEb0QgtZM4V13lEr_6gu24MbfzOiLxgTAnF0kiJiXKhQwxQmz74xoZPw5k5ZDZTZhMzm-_MRkRJThJGuN1C-D39j_UFBrp_eg</recordid><startdate>20221101</startdate><enddate>20221101</enddate><creator>Ota, Shingo</creator><creator>Chiba, Ko</creator><creator>Okazaki, Narihiro</creator><creator>Yonekura, Akihiko</creator><creator>Tomita, Masato</creator><creator>Osaki, Makoto</creator><general>Springer Nature Singapore</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7QP</scope><scope>7RV</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>K9.</scope><scope>KB0</scope><scope>M0S</scope><scope>M1P</scope><scope>NAPCQ</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0003-2285-5264</orcidid></search><sort><creationdate>20221101</creationdate><title>Cortical thickness mapping at segmented regions in the distal radius using HR-pQCT</title><author>Ota, Shingo ; Chiba, Ko ; Okazaki, Narihiro ; Yonekura, Akihiko ; Tomita, Masato ; Osaki, Makoto</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c327t-f169a7e37a1ce2bf9337cb70a4ef76be12ac5c9db7691bee86582e6848e9b5d63</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Age</topic><topic>Bone density</topic><topic>Bone mineral density</topic><topic>Bone surgery</topic><topic>Computed tomography</topic><topic>Cortical bone</topic><topic>Fractures</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Metabolic Diseases</topic><topic>Metabolism</topic><topic>Original Article</topic><topic>Orthopedics</topic><topic>Osteoporosis</topic><topic>Porosity</topic><topic>Radius</topic><topic>Surface area</topic><topic>Tomography</topic><topic>Variance analysis</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Ota, Shingo</creatorcontrib><creatorcontrib>Chiba, Ko</creatorcontrib><creatorcontrib>Okazaki, Narihiro</creatorcontrib><creatorcontrib>Yonekura, Akihiko</creatorcontrib><creatorcontrib>Tomita, Masato</creatorcontrib><creatorcontrib>Osaki, Makoto</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Calcium & Calcified Tissue 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>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>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Nursing & Allied Health Premium</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>MEDLINE - Academic</collection><jtitle>Journal of bone and mineral metabolism</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Ota, Shingo</au><au>Chiba, Ko</au><au>Okazaki, Narihiro</au><au>Yonekura, Akihiko</au><au>Tomita, Masato</au><au>Osaki, Makoto</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Cortical thickness mapping at segmented regions in the distal radius using HR-pQCT</atitle><jtitle>Journal of bone and mineral metabolism</jtitle><stitle>J Bone Miner Metab</stitle><date>2022-11-01</date><risdate>2022</risdate><volume>40</volume><issue>6</issue><spage>1021</spage><epage>1032</epage><pages>1021-1032</pages><issn>0914-8779</issn><eissn>1435-5604</eissn><abstract>Introduction
An advanced method of analyzing the cortical bone microarchitecture of the distal radius using high-resolution peripheral quantitative computed tomography (HR-pQCT) was developed.
Materials and methods
The subjects were 60 women (20: aged 30–49, 20: aged 50–69, and 20: aged 70–89 years). The distal radius was scanned by HR-pQCT, and its cortical volumetric bone mineral density (Ct.vBMD), cortical porosity (Ct.Po), and cortical thickness (Ct.Th) were measured. The cortical bone was also divided into three areas according to whether its thickness was < 0.5 mm, 0.5–1.0 mm, or > 1.0 mm, and the percentage of each surface area in the total surface area of cortical bone was calculated (Ct.Th (<0.5), Ct.Th (0.5–1.0), Ct.Th (>1.0), respectively). The cortical bone at the distal radius was further segmented into dorsal, palmar, radial, and ulnar sides, and the above-described parameters were measured in these regions.
Results
Integral analysis showed that Ct.vBMD and Ct.Th decreased and Ct.Po increased with age (
R
= − 0.62, − 0.55, and 0.54). Ct.Th (< 0.5) expanded with age (
R
= 0.49), with the rate of change between those aged 30–49 years and those aged 50–69 years being 106.7%. On regional analysis, the expansion of Ct.Th (< 0.5) with age was particularly marked on the dorsal and palmar side (
R
= 0.51 and 0.49), where the rate of change between those aged 30–49 years and those aged 50–69 years was the highest, at 196.1 and 149.6%.
Conclusion
The method to identify areas of cortical bone thinning in the segmented regions of the dorsal, palmar, radial, and ulnar sides of the distal radius using HR-pQCT may offer a sensitive assessment of age-related deterioration of cortical bone.</abstract><cop>Singapore</cop><pub>Springer Nature Singapore</pub><doi>10.1007/s00774-022-01370-2</doi><tpages>12</tpages><orcidid>https://orcid.org/0000-0003-2285-5264</orcidid></addata></record> |
fulltext | fulltext |
identifier | ISSN: 0914-8779 |
ispartof | Journal of bone and mineral metabolism, 2022-11, Vol.40 (6), p.1021-1032 |
issn | 0914-8779 1435-5604 |
language | eng |
recordid | cdi_proquest_miscellaneous_2723815178 |
source | SpringerLink Journals - AutoHoldings |
subjects | Age Bone density Bone mineral density Bone surgery Computed tomography Cortical bone Fractures Medicine Medicine & Public Health Metabolic Diseases Metabolism Original Article Orthopedics Osteoporosis Porosity Radius Surface area Tomography Variance analysis |
title | Cortical thickness mapping at segmented regions in the distal radius using HR-pQCT |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-11T18%3A58%3A08IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Cortical%20thickness%20mapping%20at%20segmented%20regions%20in%20the%20distal%20radius%20using%20HR-pQCT&rft.jtitle=Journal%20of%20bone%20and%20mineral%20metabolism&rft.au=Ota,%20Shingo&rft.date=2022-11-01&rft.volume=40&rft.issue=6&rft.spage=1021&rft.epage=1032&rft.pages=1021-1032&rft.issn=0914-8779&rft.eissn=1435-5604&rft_id=info:doi/10.1007/s00774-022-01370-2&rft_dat=%3Cproquest_cross%3E2723815178%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2890052504&rft_id=info:pmid/&rfr_iscdi=true |