Cephalometric Analysis Difference Between Skeletal and Soft Tissue Measurements
Objective: To compare the skeletal and soft tissue measurements of the dento-facial region in a cephalometric study done in the Pakistani population. Study Design: Comparative cross-sectional study. Place and Duration of Study: Armed Forces Institute of Dentistry, Rawalpindi Pakistan, from Feb to Au...
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Veröffentlicht in: | Pakistan Armed Forces medical journal 2022-06, Vol.72 (3), p.900-3 |
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description | Objective: To compare the skeletal and soft tissue measurements of the dento-facial region in a cephalometric study done in the Pakistani population.
Study Design: Comparative cross-sectional study.
Place and Duration of Study: Armed Forces Institute of Dentistry, Rawalpindi Pakistan, from Feb to Aug 2019.
Methodology: Total 160 subjects were enrolled in the study. Lateral cephalograms were recorded for all the study participants in natural head position. Patients were divided into Class I, II, and III according to the skeletal pattern. The distances of skeletal and soft tissue landmarks relative to the respective norm values and the angles between the Nasion Sella line and Frankfurt horizontal to the natural head position were measured and compared in the three classes using chi-square.
Results: Out of 160 patients, 96 (60%) patients were males, and 64 (40%) were females. In our study, 92 (57.5%) patients were classed in class I, 46 (28.75%) in class II and 22 (13.75%) in class III. The mean score of A point, Nasion, and B point angle was 7.5 ± 1.112, while the beta angle was 30.5 ± 2.214. The mean score of facial convexity angle was 14.1 ± 2.124, while the mean vertical height ratio was 1.05 ± 0.11. Both skeletal and soft tissue measurements significantly predict the skeletal pattern and discrepancy (p-value |
doi_str_mv | 10.51253/pafmj.v72i3.4539 |
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Study Design: Comparative cross-sectional study.
Place and Duration of Study: Armed Forces Institute of Dentistry, Rawalpindi Pakistan, from Feb to Aug 2019.
Methodology: Total 160 subjects were enrolled in the study. Lateral cephalograms were recorded for all the study participants in natural head position. Patients were divided into Class I, II, and III according to the skeletal pattern. The distances of skeletal and soft tissue landmarks relative to the respective norm values and the angles between the Nasion Sella line and Frankfurt horizontal to the natural head position were measured and compared in the three classes using chi-square.
Results: Out of 160 patients, 96 (60%) patients were males, and 64 (40%) were females. In our study, 92 (57.5%) patients were classed in class I, 46 (28.75%) in class II and 22 (13.75%) in class III. The mean score of A point, Nasion, and B point angle was 7.5 ± 1.112, while the beta angle was 30.5 ± 2.214. The mean score of facial convexity angle was 14.1 ± 2.124, while the mean vertical height ratio was 1.05 ± 0.11. Both skeletal and soft tissue measurements significantly predict the skeletal pattern and discrepancy (p-value <0.001).
Conclusion: Lateral cephalograms and radiography measures emerged as reliable techniques to classify the patients in various skeletal patterns. Factors like age and gender do not influence skeletal discrepancies.</description><identifier>ISSN: 0030-9648</identifier><identifier>EISSN: 2411-8842</identifier><identifier>DOI: 10.51253/pafmj.v72i3.4539</identifier><language>eng</language><publisher>Rawalpindi: Knowledge Bylanes</publisher><subject>Age ; Analysis ; Armed forces ; Dentistry ; Females ; Gender ; Methods ; Orthodontics ; Population</subject><ispartof>Pakistan Armed Forces medical journal, 2022-06, Vol.72 (3), p.900-3</ispartof><rights>COPYRIGHT 2022 Knowledge Bylanes</rights><rights>(c)2022 Pakistan Armed Forces Medical Journal</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,864,27924,27925</link.rule.ids></links><search><creatorcontrib>Mehmood, Sundas</creatorcontrib><creatorcontrib>Jan, Abdullah</creatorcontrib><creatorcontrib>Ijaz, Muska</creatorcontrib><creatorcontrib>Ghaffar, Fareena</creatorcontrib><creatorcontrib>Bibi, Khadija</creatorcontrib><creatorcontrib>Tariq, Alaina</creatorcontrib><title>Cephalometric Analysis Difference Between Skeletal and Soft Tissue Measurements</title><title>Pakistan Armed Forces medical journal</title><description>Objective: To compare the skeletal and soft tissue measurements of the dento-facial region in a cephalometric study done in the Pakistani population.
Study Design: Comparative cross-sectional study.
Place and Duration of Study: Armed Forces Institute of Dentistry, Rawalpindi Pakistan, from Feb to Aug 2019.
Methodology: Total 160 subjects were enrolled in the study. Lateral cephalograms were recorded for all the study participants in natural head position. Patients were divided into Class I, II, and III according to the skeletal pattern. The distances of skeletal and soft tissue landmarks relative to the respective norm values and the angles between the Nasion Sella line and Frankfurt horizontal to the natural head position were measured and compared in the three classes using chi-square.
Results: Out of 160 patients, 96 (60%) patients were males, and 64 (40%) were females. In our study, 92 (57.5%) patients were classed in class I, 46 (28.75%) in class II and 22 (13.75%) in class III. The mean score of A point, Nasion, and B point angle was 7.5 ± 1.112, while the beta angle was 30.5 ± 2.214. The mean score of facial convexity angle was 14.1 ± 2.124, while the mean vertical height ratio was 1.05 ± 0.11. Both skeletal and soft tissue measurements significantly predict the skeletal pattern and discrepancy (p-value <0.001).
Conclusion: Lateral cephalograms and radiography measures emerged as reliable techniques to classify the patients in various skeletal patterns. Factors like age and gender do not influence skeletal discrepancies.</description><subject>Age</subject><subject>Analysis</subject><subject>Armed forces</subject><subject>Dentistry</subject><subject>Females</subject><subject>Gender</subject><subject>Methods</subject><subject>Orthodontics</subject><subject>Population</subject><issn>0030-9648</issn><issn>2411-8842</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><recordid>eNptkU1LAzEQhoMoWGp_gLcFz7vmczc51voJlR5azyFNJ5q6Xya7Sv-921YQwZnDDMP7DsM8CF0SnAlCBbtujau22WdBPcu4YOoEjSgnJJWS01M0wpjhVOVcnqNJjFs8hGCUYzFCixm0b6ZsKuiCt8m0NuUu-pjceucgQG0huYHuC6BOlu9QQmfKxNSbZNm4Lln5GHtInsHEPkAFdRcv0JkzZYTJTx2jl_u71ewxnS8enmbTeWoJK2hKCy4kHnphsQTGmS0kEFo4lVsQplhLWHOucicEAeIE3QgrpDJCWbdmasPG6Oq4tw3NRw-x09umD8P1UdNcKkxzWtBf1aspQfvaNV0wtvLR6mmBFeFk_4kxyv5RDbmBytumBueH-R8DORpsaGIM4HQbfGXCThOsD0T0gYg-ENF7IuwbHKF-DQ</recordid><startdate>20220630</startdate><enddate>20220630</enddate><creator>Mehmood, Sundas</creator><creator>Jan, Abdullah</creator><creator>Ijaz, Muska</creator><creator>Ghaffar, Fareena</creator><creator>Bibi, Khadija</creator><creator>Tariq, Alaina</creator><general>Knowledge Bylanes</general><general>AsiaNet Pakistan (Pvt) Ltd</general><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7X7</scope><scope>7XB</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>K9.</scope><scope>M0S</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope></search><sort><creationdate>20220630</creationdate><title>Cephalometric Analysis Difference Between Skeletal and Soft Tissue Measurements</title><author>Mehmood, Sundas ; Jan, Abdullah ; Ijaz, Muska ; Ghaffar, Fareena ; Bibi, Khadija ; Tariq, Alaina</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c1372-274580c135c08e343c78e127f96ce5a7b8eb4496f551e1f52d5c589a59cfb39d3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Age</topic><topic>Analysis</topic><topic>Armed forces</topic><topic>Dentistry</topic><topic>Females</topic><topic>Gender</topic><topic>Methods</topic><topic>Orthodontics</topic><topic>Population</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Mehmood, Sundas</creatorcontrib><creatorcontrib>Jan, Abdullah</creatorcontrib><creatorcontrib>Ijaz, Muska</creatorcontrib><creatorcontrib>Ghaffar, Fareena</creatorcontrib><creatorcontrib>Bibi, Khadija</creatorcontrib><creatorcontrib>Tariq, Alaina</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</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 Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Publicly Available Content Database</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><jtitle>Pakistan Armed Forces medical journal</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Mehmood, Sundas</au><au>Jan, Abdullah</au><au>Ijaz, Muska</au><au>Ghaffar, Fareena</au><au>Bibi, Khadija</au><au>Tariq, Alaina</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Cephalometric Analysis Difference Between Skeletal and Soft Tissue Measurements</atitle><jtitle>Pakistan Armed Forces medical journal</jtitle><date>2022-06-30</date><risdate>2022</risdate><volume>72</volume><issue>3</issue><spage>900</spage><epage>3</epage><pages>900-3</pages><issn>0030-9648</issn><eissn>2411-8842</eissn><abstract>Objective: To compare the skeletal and soft tissue measurements of the dento-facial region in a cephalometric study done in the Pakistani population.
Study Design: Comparative cross-sectional study.
Place and Duration of Study: Armed Forces Institute of Dentistry, Rawalpindi Pakistan, from Feb to Aug 2019.
Methodology: Total 160 subjects were enrolled in the study. Lateral cephalograms were recorded for all the study participants in natural head position. Patients were divided into Class I, II, and III according to the skeletal pattern. The distances of skeletal and soft tissue landmarks relative to the respective norm values and the angles between the Nasion Sella line and Frankfurt horizontal to the natural head position were measured and compared in the three classes using chi-square.
Results: Out of 160 patients, 96 (60%) patients were males, and 64 (40%) were females. In our study, 92 (57.5%) patients were classed in class I, 46 (28.75%) in class II and 22 (13.75%) in class III. The mean score of A point, Nasion, and B point angle was 7.5 ± 1.112, while the beta angle was 30.5 ± 2.214. The mean score of facial convexity angle was 14.1 ± 2.124, while the mean vertical height ratio was 1.05 ± 0.11. Both skeletal and soft tissue measurements significantly predict the skeletal pattern and discrepancy (p-value <0.001).
Conclusion: Lateral cephalograms and radiography measures emerged as reliable techniques to classify the patients in various skeletal patterns. Factors like age and gender do not influence skeletal discrepancies.</abstract><cop>Rawalpindi</cop><pub>Knowledge Bylanes</pub><doi>10.51253/pafmj.v72i3.4539</doi><tpages>-896</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Age Analysis Armed forces Dentistry Females Gender Methods Orthodontics Population |
title | Cephalometric Analysis Difference Between Skeletal and Soft Tissue Measurements |
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