Anatomic study of carpal tunnel in adults using monoenergetic reconstruction of dual-energy computed tomography
Objective: To seek optimal keV settings for imaging carpal tunnel in adults by dual-energy computed tomography (DECT) monoenergetic technique; to describe anatomic characteristics of carpal tunnel and to observe correlation between carpal bony and soft tissue structures. Methods: DECT images of 20 w...
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Veröffentlicht in: | Journal of the Pakistan Medical Association 2021-02, Vol.71 (2), p.663-671 |
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creator | Zhao, Heng Peng, Fei Tang, De-Qiu Liu, Jin-Cai Lei, Hao Liu, Qiang Wang, Fang Ren, Qiu-Ping Li, Jiao Yang Wang, Feng-zhe Lu, Zhao Pan, Shi Nong |
description | Objective: To seek optimal keV settings for imaging carpal tunnel in adults by dual-energy computed tomography (DECT) monoenergetic technique; to describe anatomic characteristics of carpal tunnel and to observe correlation between carpal bony and soft tissue structures. Methods: DECT images of 20 wrists (11 left and 9 right wrists; 14 men, mean age 26.93?1.38 years, range 23 to 28, and 6 women, mean age 24.17 ? 0.98 years, range 23 to 26) were evaluated. Monoenergetic images were reconstructed at 42, 62, 82, 102, 122, and 142 keV. Image quality was assessed along a 5-point Likert scale, and the highest-quality images were chosen for quantitative analysis. Two musculoskeletal radiologists performed both analyses independently. Results: The optimal energy spectrum with the best contrast-to-noise ratio (CNR) for monoenergetic images were at 62 keV (19 wrists, 95%) and 61 keV (1 wrist, 5%). There was substantial interobserver agreement between the readers in the 5-point Likert scale analysis of image quality (k= 0.793). Bland-Altman plots also indicated good agreement between observers in quantitative analysis. Intra-category 1 and 2 correlation was mostly discovered at hamate hook level and middle level of pisiform (P < 0.05), while bony and soft tissue structures partly reached correlation (P < 0.05). Conclusion: The optimal energy spectrum for monoenergetic DECT imaging of carpal tunnel structures was 62 keV. DECT monoenergetic imaging could predict changes in soft tissue structures and demonstrate carpal tunnel anatomic structures. |
doi_str_mv | 10.47391/JPMA.1203 |
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Methods: DECT images of 20 wrists (11 left and 9 right wrists; 14 men, mean age 26.93?1.38 years, range 23 to 28, and 6 women, mean age 24.17 ? 0.98 years, range 23 to 26) were evaluated. Monoenergetic images were reconstructed at 42, 62, 82, 102, 122, and 142 keV. Image quality was assessed along a 5-point Likert scale, and the highest-quality images were chosen for quantitative analysis. Two musculoskeletal radiologists performed both analyses independently. Results: The optimal energy spectrum with the best contrast-to-noise ratio (CNR) for monoenergetic images were at 62 keV (19 wrists, 95%) and 61 keV (1 wrist, 5%). There was substantial interobserver agreement between the readers in the 5-point Likert scale analysis of image quality (k= 0.793). Bland-Altman plots also indicated good agreement between observers in quantitative analysis. Intra-category 1 and 2 correlation was mostly discovered at hamate hook level and middle level of pisiform (P < 0.05), while bony and soft tissue structures partly reached correlation (P < 0.05). Conclusion: The optimal energy spectrum for monoenergetic DECT imaging of carpal tunnel structures was 62 keV. DECT monoenergetic imaging could predict changes in soft tissue structures and demonstrate carpal tunnel anatomic structures.</description><identifier>ISSN: 0030-9982</identifier><identifier>DOI: 10.47391/JPMA.1203</identifier><identifier>PMID: 33941955</identifier><language>eng</language><publisher>KARACHI: Pakistan Medical Assoc</publisher><subject><![CDATA[Adult ; Anatomy ; Carpal tunnel syndrome ; CT imaging ; Female ; General & Internal Medicine ; Humans ; Image Processing, Computer-Assisted ; Life Sciences & Biomedicine ; Male ; Medical examination ; Medicine, General & Internal ; Medicine, Research & Experimental ; Methods ; Physiological aspects ; Radiography, Dual-Energy Scanned Projection ; Radiologists ; Research & Experimental Medicine ; Retrospective Studies ; Science & Technology ; Signal-To-Noise Ratio ; Tomography, X-Ray Computed ; Wrist ; Young Adult]]></subject><ispartof>Journal of the Pakistan Medical Association, 2021-02, Vol.71 (2), p.663-671</ispartof><rights>COPYRIGHT 2021 Knowledge Bylanes</rights><oa>free_for_read</oa><woscitedreferencessubscribed>true</woscitedreferencessubscribed><woscitedreferencescount>0</woscitedreferencescount><woscitedreferencesoriginalsourcerecordid>wos000637555500017</woscitedreferencesoriginalsourcerecordid><cites>FETCH-LOGICAL-c410t-d97f59862dab14744e33109c9ccec1a9fe141bbd734df216d323d628e403bf5d3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>315,782,786,866,2104,2116,27931,27932,39265</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/33941955$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Zhao, Heng</creatorcontrib><creatorcontrib>Peng, Fei</creatorcontrib><creatorcontrib>Tang, De-Qiu</creatorcontrib><creatorcontrib>Liu, Jin-Cai</creatorcontrib><creatorcontrib>Lei, Hao</creatorcontrib><creatorcontrib>Liu, Qiang</creatorcontrib><creatorcontrib>Wang, Fang</creatorcontrib><creatorcontrib>Ren, Qiu-Ping</creatorcontrib><creatorcontrib>Li, Jiao Yang</creatorcontrib><creatorcontrib>Wang, Feng-zhe</creatorcontrib><creatorcontrib>Lu, Zhao</creatorcontrib><creatorcontrib>Pan, Shi Nong</creatorcontrib><title>Anatomic study of carpal tunnel in adults using monoenergetic reconstruction of dual-energy computed tomography</title><title>Journal of the Pakistan Medical Association</title><addtitle>J PAK MED ASSOC</addtitle><addtitle>J Pak Med Assoc</addtitle><description>Objective: To seek optimal keV settings for imaging carpal tunnel in adults by dual-energy computed tomography (DECT) monoenergetic technique; to describe anatomic characteristics of carpal tunnel and to observe correlation between carpal bony and soft tissue structures. Methods: DECT images of 20 wrists (11 left and 9 right wrists; 14 men, mean age 26.93?1.38 years, range 23 to 28, and 6 women, mean age 24.17 ? 0.98 years, range 23 to 26) were evaluated. Monoenergetic images were reconstructed at 42, 62, 82, 102, 122, and 142 keV. Image quality was assessed along a 5-point Likert scale, and the highest-quality images were chosen for quantitative analysis. Two musculoskeletal radiologists performed both analyses independently. Results: The optimal energy spectrum with the best contrast-to-noise ratio (CNR) for monoenergetic images were at 62 keV (19 wrists, 95%) and 61 keV (1 wrist, 5%). There was substantial interobserver agreement between the readers in the 5-point Likert scale analysis of image quality (k= 0.793). Bland-Altman plots also indicated good agreement between observers in quantitative analysis. Intra-category 1 and 2 correlation was mostly discovered at hamate hook level and middle level of pisiform (P < 0.05), while bony and soft tissue structures partly reached correlation (P < 0.05). Conclusion: The optimal energy spectrum for monoenergetic DECT imaging of carpal tunnel structures was 62 keV. DECT monoenergetic imaging could predict changes in soft tissue structures and demonstrate carpal tunnel anatomic structures.</description><subject>Adult</subject><subject>Anatomy</subject><subject>Carpal tunnel syndrome</subject><subject>CT imaging</subject><subject>Female</subject><subject>General & Internal Medicine</subject><subject>Humans</subject><subject>Image Processing, Computer-Assisted</subject><subject>Life Sciences & Biomedicine</subject><subject>Male</subject><subject>Medical examination</subject><subject>Medicine, General & Internal</subject><subject>Medicine, Research & Experimental</subject><subject>Methods</subject><subject>Physiological aspects</subject><subject>Radiography, Dual-Energy Scanned Projection</subject><subject>Radiologists</subject><subject>Research & Experimental Medicine</subject><subject>Retrospective Studies</subject><subject>Science & Technology</subject><subject>Signal-To-Noise Ratio</subject><subject>Tomography, X-Ray Computed</subject><subject>Wrist</subject><subject>Young Adult</subject><issn>0030-9982</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>HGBXW</sourceid><sourceid>EIF</sourceid><sourceid>DOA</sourceid><recordid>eNqNkkuLFDEUhWuhOOPoxh8gBYKI0m1eleosm8bHyIgudB1SyU13hqqkzYOh_72p7rFxwIXJIuHynZPc5DTNC4yWrKcCv__y_et6iQmij5pLhChaCLEiF83TlG4RIrxD6ElzQalgWHTdZRPWXuUwOd2mXMyhDbbVKu7V2ObiPYyt860yZcypLcn5bTsFH8BD3EKuogg6-JRj0dkFP6tNUePiCBxaHaZ9yWDaekLYRrXfHZ41j60aEzy_X6-anx8__Nh8Xtx8-3S9Wd8sNMMoL4zobSdWnBg1YNYzBpRiJLTQGjRWwgJmeBhMT5mxBHNDCTWcrIAhOtjO0Kvm-uRrgrqV--gmFQ8yKCePhRC3UsXawQiS90DqYyjVk4FZgwReWWsZEXxADJCuXm9OXvsYfhVIWU4uaRhH5SGUJElHqgHqO17RVyd0q6qz8zbkqPSMyzXvGCGc8Jla_oOq00D9ieDBulp_IHj9l2AHasy7FMYyP3p6CL49gTqGlCLYc-sYyWNA5BwQOQekwi_v-yrDBOaM_klHBd6dgDsYgk3agddwxhBCnPZdHXWH-0qv_p_euKzm229C8Zn-BpFs1-8</recordid><startdate>20210201</startdate><enddate>20210201</enddate><creator>Zhao, Heng</creator><creator>Peng, Fei</creator><creator>Tang, De-Qiu</creator><creator>Liu, Jin-Cai</creator><creator>Lei, Hao</creator><creator>Liu, Qiang</creator><creator>Wang, Fang</creator><creator>Ren, Qiu-Ping</creator><creator>Li, Jiao Yang</creator><creator>Wang, Feng-zhe</creator><creator>Lu, Zhao</creator><creator>Pan, Shi Nong</creator><general>Pakistan Medical Assoc</general><general>Knowledge Bylanes</general><general>Pakistan Medical Association</general><scope>BLEPL</scope><scope>DTL</scope><scope>HGBXW</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>7X8</scope><scope>DOA</scope></search><sort><creationdate>20210201</creationdate><title>Anatomic study of carpal tunnel in adults using monoenergetic reconstruction of dual-energy computed tomography</title><author>Zhao, Heng ; Peng, Fei ; Tang, De-Qiu ; Liu, Jin-Cai ; Lei, Hao ; Liu, Qiang ; Wang, Fang ; Ren, Qiu-Ping ; Li, Jiao Yang ; Wang, Feng-zhe ; Lu, Zhao ; Pan, Shi Nong</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c410t-d97f59862dab14744e33109c9ccec1a9fe141bbd734df216d323d628e403bf5d3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Adult</topic><topic>Anatomy</topic><topic>Carpal tunnel syndrome</topic><topic>CT imaging</topic><topic>Female</topic><topic>General & Internal Medicine</topic><topic>Humans</topic><topic>Image Processing, Computer-Assisted</topic><topic>Life Sciences & Biomedicine</topic><topic>Male</topic><topic>Medical examination</topic><topic>Medicine, General & Internal</topic><topic>Medicine, Research & Experimental</topic><topic>Methods</topic><topic>Physiological aspects</topic><topic>Radiography, Dual-Energy Scanned Projection</topic><topic>Radiologists</topic><topic>Research & Experimental Medicine</topic><topic>Retrospective Studies</topic><topic>Science & Technology</topic><topic>Signal-To-Noise Ratio</topic><topic>Tomography, X-Ray Computed</topic><topic>Wrist</topic><topic>Young Adult</topic><toplevel>online_resources</toplevel><creatorcontrib>Zhao, Heng</creatorcontrib><creatorcontrib>Peng, Fei</creatorcontrib><creatorcontrib>Tang, De-Qiu</creatorcontrib><creatorcontrib>Liu, Jin-Cai</creatorcontrib><creatorcontrib>Lei, Hao</creatorcontrib><creatorcontrib>Liu, Qiang</creatorcontrib><creatorcontrib>Wang, Fang</creatorcontrib><creatorcontrib>Ren, Qiu-Ping</creatorcontrib><creatorcontrib>Li, Jiao Yang</creatorcontrib><creatorcontrib>Wang, Feng-zhe</creatorcontrib><creatorcontrib>Lu, Zhao</creatorcontrib><creatorcontrib>Pan, Shi Nong</creatorcontrib><collection>Web of Science Core Collection</collection><collection>Science Citation Index Expanded</collection><collection>Web of Science - Science Citation Index Expanded - 2021</collection><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>DOAJ Directory of Open Access Journals</collection><jtitle>Journal of the Pakistan Medical Association</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Zhao, Heng</au><au>Peng, Fei</au><au>Tang, De-Qiu</au><au>Liu, Jin-Cai</au><au>Lei, Hao</au><au>Liu, Qiang</au><au>Wang, Fang</au><au>Ren, Qiu-Ping</au><au>Li, Jiao Yang</au><au>Wang, Feng-zhe</au><au>Lu, Zhao</au><au>Pan, Shi Nong</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Anatomic study of carpal tunnel in adults using monoenergetic reconstruction of dual-energy computed tomography</atitle><jtitle>Journal of the Pakistan Medical Association</jtitle><stitle>J PAK MED ASSOC</stitle><addtitle>J Pak Med Assoc</addtitle><date>2021-02-01</date><risdate>2021</risdate><volume>71</volume><issue>2</issue><spage>663</spage><epage>671</epage><pages>663-671</pages><issn>0030-9982</issn><abstract>Objective: To seek optimal keV settings for imaging carpal tunnel in adults by dual-energy computed tomography (DECT) monoenergetic technique; to describe anatomic characteristics of carpal tunnel and to observe correlation between carpal bony and soft tissue structures. Methods: DECT images of 20 wrists (11 left and 9 right wrists; 14 men, mean age 26.93?1.38 years, range 23 to 28, and 6 women, mean age 24.17 ? 0.98 years, range 23 to 26) were evaluated. Monoenergetic images were reconstructed at 42, 62, 82, 102, 122, and 142 keV. Image quality was assessed along a 5-point Likert scale, and the highest-quality images were chosen for quantitative analysis. Two musculoskeletal radiologists performed both analyses independently. Results: The optimal energy spectrum with the best contrast-to-noise ratio (CNR) for monoenergetic images were at 62 keV (19 wrists, 95%) and 61 keV (1 wrist, 5%). There was substantial interobserver agreement between the readers in the 5-point Likert scale analysis of image quality (k= 0.793). Bland-Altman plots also indicated good agreement between observers in quantitative analysis. Intra-category 1 and 2 correlation was mostly discovered at hamate hook level and middle level of pisiform (P < 0.05), while bony and soft tissue structures partly reached correlation (P < 0.05). Conclusion: The optimal energy spectrum for monoenergetic DECT imaging of carpal tunnel structures was 62 keV. DECT monoenergetic imaging could predict changes in soft tissue structures and demonstrate carpal tunnel anatomic structures.</abstract><cop>KARACHI</cop><pub>Pakistan Medical Assoc</pub><pmid>33941955</pmid><doi>10.47391/JPMA.1203</doi><tpages>9</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Adult Anatomy Carpal tunnel syndrome CT imaging Female General & Internal Medicine Humans Image Processing, Computer-Assisted Life Sciences & Biomedicine Male Medical examination Medicine, General & Internal Medicine, Research & Experimental Methods Physiological aspects Radiography, Dual-Energy Scanned Projection Radiologists Research & Experimental Medicine Retrospective Studies Science & Technology Signal-To-Noise Ratio Tomography, X-Ray Computed Wrist Young Adult |
title | Anatomic study of carpal tunnel in adults using monoenergetic reconstruction of dual-energy computed tomography |
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