Morphology of Sella Turcica and Bridging Prevalence Correlated with Sex and Craniofacial Skeletal Pattern in Eastern Asia Population: CBCT Study
Purpose. Sella turcica bridging (STB) refers to a rare anatomical variation formed by the ossification of the ligament between the anterior and posterior clinoid processes. The presence of the STB was significantly correlated with craniofacial skeleton classification and a higher prevalence rate in...
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| description | Purpose. Sella turcica bridging (STB) refers to a rare anatomical variation formed by the ossification of the ligament between the anterior and posterior clinoid processes. The presence of the STB was significantly correlated with craniofacial skeleton classification and a higher prevalence rate in skeletal Class III. The current study is aimed at investigating the dimensions of sella turcica and the prevalence of STB in different sexes and on the three craniofacial skeletal patterns using cone beam computed tomography (CBCT). Materials and Methods. A total of 159 adults (66 males and 93 females), including 3 different craniofacial skeletal patterns (skeletal Classes I, II, and III), were included in the study. The sella turcica dimensions and the prevalence of STB were calculated. An independent t-test and generalized linear model were used to compare the differences in the sella turcica dimensions and the skeletal relations. The Spearman rank correlation coefficient was used to analyze the correlations between sella turcica dimensions and skeletal relation. Results. The sella length (SL) was 11.05±1.80 mm for males and 10.77±1.56 mm for females. The anterior clinoid distance (ACD) which was measured for the anterior width of sella turcica showed 25.83±2.04 mm and 24.04±2.28 mm for males and females, respectively (p |
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Sella turcica bridging (STB) refers to a rare anatomical variation formed by the ossification of the ligament between the anterior and posterior clinoid processes. The presence of the STB was significantly correlated with craniofacial skeleton classification and a higher prevalence rate in skeletal Class III. The current study is aimed at investigating the dimensions of sella turcica and the prevalence of STB in different sexes and on the three craniofacial skeletal patterns using cone beam computed tomography (CBCT). Materials and Methods. A total of 159 adults (66 males and 93 females), including 3 different craniofacial skeletal patterns (skeletal Classes I, II, and III), were included in the study. The sella turcica dimensions and the prevalence of STB were calculated. An independent t-test and generalized linear model were used to compare the differences in the sella turcica dimensions and the skeletal relations. The Spearman rank correlation coefficient was used to analyze the correlations between sella turcica dimensions and skeletal relation. Results. The sella length (SL) was 11.05±1.80 mm for males and 10.77±1.56 mm for females. The anterior clinoid distance (ACD) which was measured for the anterior width of sella turcica showed 25.83±2.04 mm and 24.04±2.28 mm for males and females, respectively (p<0.0001). The overall percentage of complete bridging and partial bridging was 6.6% and 56.9%, respectively. Complete bridges were more common in males (males: 9.1%, females: 4.8%), and partial bridges were more frequent in females (males: 49.2%, females: 62.4%). Both sexes differed with respect to sella turcica dimensions. Moreover, males had a significantly larger ACD, posterior clinoid distance (PCD), and diameter of sella turcica (DST), on both sides, relative to females. Conclusion. The prevalence rate of complete STB in the Taiwanese population was 6.6%. Significant differences between sexes were found in sella turcica dimensions. The prevalence rates of STB as well as the sella turcica dimensions did not significantly differ between different craniofacial skeletal patterns (skeletal Classes I, II, and III).</description><identifier>ISSN: 2314-6133</identifier><identifier>EISSN: 2314-6141</identifier><identifier>DOI: 10.1155/2021/6646406</identifier><identifier>PMID: 33860047</identifier><language>eng</language><publisher>United States: Hindawi</publisher><subject>Adult ; Age Factors ; Analysis ; Anatomic Landmarks ; Bridge loads ; Cephalometry ; Computed tomography ; Cone-Beam Computed Tomography ; Correlation analysis ; Correlation coefficient ; Correlation coefficients ; Craniofacial abnormalities ; Demographic aspects ; Diagnosis ; Diameters ; Face - anatomy & histology ; Far East ; Female ; Females ; Humans ; Male ; Males ; Mathematical analysis ; Methods ; Morphology ; Ossification ; Population studies ; Sella Turcica - anatomy & histology ; Sex Characteristics ; Sexes ; Skeleton ; Statistical models ; Tomography</subject><ispartof>BioMed research international, 2021, Vol.2021 (1), p.6646406-6646406</ispartof><rights>Copyright © 2021 Szu-Ting Chou et al.</rights><rights>COPYRIGHT 2021 John Wiley & Sons, Inc.</rights><rights>Copyright © 2021 Szu-Ting Chou et al. This is an open access article distributed under the Creative Commons Attribution License (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. https://creativecommons.org/licenses/by/4.0</rights><rights>Copyright © 2021 Szu-Ting Chou et al. 2021</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c476t-7d8880041fec43c93c3d8fe8d4e87b78664f42b6a0c2c0b31985cb25a77f012b3</citedby><cites>FETCH-LOGICAL-c476t-7d8880041fec43c93c3d8fe8d4e87b78664f42b6a0c2c0b31985cb25a77f012b3</cites><orcidid>0000-0001-8226-0989</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC8009724/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC8009724/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,881,4009,27902,27903,27904,53769,53771</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/33860047$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Grippaudo, Cristina</contributor><contributor>Cristina Grippaudo</contributor><creatorcontrib>Chou, Szu-Ting</creatorcontrib><creatorcontrib>Chen, Chun-Ming</creatorcontrib><creatorcontrib>Chen, Ping-Ho</creatorcontrib><creatorcontrib>Chen, Yuk-Kwan</creatorcontrib><creatorcontrib>Chen, Shis-Chieh</creatorcontrib><creatorcontrib>Tseng, Yu-Chuan</creatorcontrib><title>Morphology of Sella Turcica and Bridging Prevalence Correlated with Sex and Craniofacial Skeletal Pattern in Eastern Asia Population: CBCT Study</title><title>BioMed research international</title><addtitle>Biomed Res Int</addtitle><description>Purpose. Sella turcica bridging (STB) refers to a rare anatomical variation formed by the ossification of the ligament between the anterior and posterior clinoid processes. The presence of the STB was significantly correlated with craniofacial skeleton classification and a higher prevalence rate in skeletal Class III. The current study is aimed at investigating the dimensions of sella turcica and the prevalence of STB in different sexes and on the three craniofacial skeletal patterns using cone beam computed tomography (CBCT). Materials and Methods. A total of 159 adults (66 males and 93 females), including 3 different craniofacial skeletal patterns (skeletal Classes I, II, and III), were included in the study. The sella turcica dimensions and the prevalence of STB were calculated. An independent t-test and generalized linear model were used to compare the differences in the sella turcica dimensions and the skeletal relations. The Spearman rank correlation coefficient was used to analyze the correlations between sella turcica dimensions and skeletal relation. Results. The sella length (SL) was 11.05±1.80 mm for males and 10.77±1.56 mm for females. The anterior clinoid distance (ACD) which was measured for the anterior width of sella turcica showed 25.83±2.04 mm and 24.04±2.28 mm for males and females, respectively (p<0.0001). The overall percentage of complete bridging and partial bridging was 6.6% and 56.9%, respectively. Complete bridges were more common in males (males: 9.1%, females: 4.8%), and partial bridges were more frequent in females (males: 49.2%, females: 62.4%). Both sexes differed with respect to sella turcica dimensions. Moreover, males had a significantly larger ACD, posterior clinoid distance (PCD), and diameter of sella turcica (DST), on both sides, relative to females. Conclusion. The prevalence rate of complete STB in the Taiwanese population was 6.6%. Significant differences between sexes were found in sella turcica dimensions. The prevalence rates of STB as well as the sella turcica dimensions did not significantly differ between different craniofacial skeletal patterns (skeletal Classes I, II, and III).</description><subject>Adult</subject><subject>Age Factors</subject><subject>Analysis</subject><subject>Anatomic Landmarks</subject><subject>Bridge loads</subject><subject>Cephalometry</subject><subject>Computed tomography</subject><subject>Cone-Beam Computed Tomography</subject><subject>Correlation analysis</subject><subject>Correlation coefficient</subject><subject>Correlation coefficients</subject><subject>Craniofacial abnormalities</subject><subject>Demographic aspects</subject><subject>Diagnosis</subject><subject>Diameters</subject><subject>Face - anatomy & histology</subject><subject>Far East</subject><subject>Female</subject><subject>Females</subject><subject>Humans</subject><subject>Male</subject><subject>Males</subject><subject>Mathematical analysis</subject><subject>Methods</subject><subject>Morphology</subject><subject>Ossification</subject><subject>Population studies</subject><subject>Sella Turcica - anatomy & histology</subject><subject>Sex Characteristics</subject><subject>Sexes</subject><subject>Skeleton</subject><subject>Statistical models</subject><subject>Tomography</subject><issn>2314-6133</issn><issn>2314-6141</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>RHX</sourceid><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNp9kktvEzEUhUcIRKvSHWtkiQ1SG-rX2B4WSOmoPKRWREpYWx6PZ-IysYPtacm_4CfjNCEFFnjjK_nzufdcnaJ4ieBbhMryAkOMLhijjEL2pDjGBNEJQxQ9PdSEHBWnMd7CfARisGLPiyNCBIOQ8uPi540P66UffL8BvgNzMwwKLMagrVZAuRZcBtv21vVgFsydGozTBtQ-BDOoZFpwb9My__rxwNZBOes7pa0awPybGUzKxUylZIID1oErFR_KabQKzPx6zCLWu3egvqwXYJ7GdvOieNapIZrT_X1SfP1wtag_Ta6_fPxcT68nmnKWJrwVQmQLqDOaEl0RTVrRGdFSI3jDRd5JR3HDFNRYw4agSpS6waXivIMIN-SkeL_TXY_NyrTauBTUINfBrlTYSK-s_PvF2aXs_Z3MXSuOaRZ4sxcI_vtoYpIrG_V2f874MUpcIlpWnAme0df_oLd-DC7byxQUmJWYw0eqz2uW1nU-99VbUTllFasqDBnO1PmO0sHHGEx3GBlBuc2E3GZC7jOR8Vd_2jzAvxOQgbMdsLSuVff2_3K_ALlsveE</recordid><startdate>2021</startdate><enddate>2021</enddate><creator>Chou, Szu-Ting</creator><creator>Chen, Chun-Ming</creator><creator>Chen, Ping-Ho</creator><creator>Chen, Yuk-Kwan</creator><creator>Chen, Shis-Chieh</creator><creator>Tseng, Yu-Chuan</creator><general>Hindawi</general><general>John Wiley & Sons, Inc</general><general>Hindawi Limited</general><scope>RHU</scope><scope>RHW</scope><scope>RHX</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>7QL</scope><scope>7QO</scope><scope>7T7</scope><scope>7TK</scope><scope>7U7</scope><scope>7U9</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</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>C1K</scope><scope>CCPQU</scope><scope>CWDGH</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>H94</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>LK8</scope><scope>M0S</scope><scope>M1P</scope><scope>M7N</scope><scope>M7P</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0001-8226-0989</orcidid></search><sort><creationdate>2021</creationdate><title>Morphology of Sella Turcica and Bridging Prevalence Correlated with Sex and Craniofacial Skeletal Pattern in Eastern Asia Population: CBCT Study</title><author>Chou, Szu-Ting ; Chen, Chun-Ming ; Chen, Ping-Ho ; Chen, Yuk-Kwan ; Chen, Shis-Chieh ; Tseng, Yu-Chuan</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c476t-7d8880041fec43c93c3d8fe8d4e87b78664f42b6a0c2c0b31985cb25a77f012b3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Adult</topic><topic>Age Factors</topic><topic>Analysis</topic><topic>Anatomic Landmarks</topic><topic>Bridge loads</topic><topic>Cephalometry</topic><topic>Computed tomography</topic><topic>Cone-Beam Computed Tomography</topic><topic>Correlation analysis</topic><topic>Correlation coefficient</topic><topic>Correlation coefficients</topic><topic>Craniofacial abnormalities</topic><topic>Demographic aspects</topic><topic>Diagnosis</topic><topic>Diameters</topic><topic>Face - anatomy & histology</topic><topic>Far East</topic><topic>Female</topic><topic>Females</topic><topic>Humans</topic><topic>Male</topic><topic>Males</topic><topic>Mathematical analysis</topic><topic>Methods</topic><topic>Morphology</topic><topic>Ossification</topic><topic>Population studies</topic><topic>Sella Turcica - anatomy & histology</topic><topic>Sex Characteristics</topic><topic>Sexes</topic><topic>Skeleton</topic><topic>Statistical models</topic><topic>Tomography</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Chou, Szu-Ting</creatorcontrib><creatorcontrib>Chen, Chun-Ming</creatorcontrib><creatorcontrib>Chen, Ping-Ho</creatorcontrib><creatorcontrib>Chen, Yuk-Kwan</creatorcontrib><creatorcontrib>Chen, Shis-Chieh</creatorcontrib><creatorcontrib>Tseng, Yu-Chuan</creatorcontrib><collection>Hindawi Publishing Complete</collection><collection>Hindawi Publishing Subscription Journals</collection><collection>Hindawi Publishing Open Access 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>Bacteriology Abstracts (Microbiology B)</collection><collection>Biotechnology Research Abstracts</collection><collection>Industrial and Applied Microbiology Abstracts (Microbiology A)</collection><collection>Neurosciences Abstracts</collection><collection>Toxicology Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>ProQuest Health and Medical</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</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 (ProQuest)</collection><collection>Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>Middle East & Africa Database</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>AIDS and Cancer Research Abstracts</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>ProQuest Biological Science Collection</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>ProQuest Biological Science Journals</collection><collection>Advanced Technologies & Aerospace Database</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>Biotechnology and BioEngineering Abstracts</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>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>BioMed research international</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Chou, Szu-Ting</au><au>Chen, Chun-Ming</au><au>Chen, Ping-Ho</au><au>Chen, Yuk-Kwan</au><au>Chen, Shis-Chieh</au><au>Tseng, Yu-Chuan</au><au>Grippaudo, Cristina</au><au>Cristina Grippaudo</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Morphology of Sella Turcica and Bridging Prevalence Correlated with Sex and Craniofacial Skeletal Pattern in Eastern Asia Population: CBCT Study</atitle><jtitle>BioMed research international</jtitle><addtitle>Biomed Res Int</addtitle><date>2021</date><risdate>2021</risdate><volume>2021</volume><issue>1</issue><spage>6646406</spage><epage>6646406</epage><pages>6646406-6646406</pages><issn>2314-6133</issn><eissn>2314-6141</eissn><abstract>Purpose. Sella turcica bridging (STB) refers to a rare anatomical variation formed by the ossification of the ligament between the anterior and posterior clinoid processes. The presence of the STB was significantly correlated with craniofacial skeleton classification and a higher prevalence rate in skeletal Class III. The current study is aimed at investigating the dimensions of sella turcica and the prevalence of STB in different sexes and on the three craniofacial skeletal patterns using cone beam computed tomography (CBCT). Materials and Methods. A total of 159 adults (66 males and 93 females), including 3 different craniofacial skeletal patterns (skeletal Classes I, II, and III), were included in the study. The sella turcica dimensions and the prevalence of STB were calculated. An independent t-test and generalized linear model were used to compare the differences in the sella turcica dimensions and the skeletal relations. The Spearman rank correlation coefficient was used to analyze the correlations between sella turcica dimensions and skeletal relation. Results. The sella length (SL) was 11.05±1.80 mm for males and 10.77±1.56 mm for females. The anterior clinoid distance (ACD) which was measured for the anterior width of sella turcica showed 25.83±2.04 mm and 24.04±2.28 mm for males and females, respectively (p<0.0001). The overall percentage of complete bridging and partial bridging was 6.6% and 56.9%, respectively. Complete bridges were more common in males (males: 9.1%, females: 4.8%), and partial bridges were more frequent in females (males: 49.2%, females: 62.4%). Both sexes differed with respect to sella turcica dimensions. Moreover, males had a significantly larger ACD, posterior clinoid distance (PCD), and diameter of sella turcica (DST), on both sides, relative to females. Conclusion. The prevalence rate of complete STB in the Taiwanese population was 6.6%. Significant differences between sexes were found in sella turcica dimensions. The prevalence rates of STB as well as the sella turcica dimensions did not significantly differ between different craniofacial skeletal patterns (skeletal Classes I, II, and III).</abstract><cop>United States</cop><pub>Hindawi</pub><pmid>33860047</pmid><doi>10.1155/2021/6646406</doi><tpages>1</tpages><orcidid>https://orcid.org/0000-0001-8226-0989</orcidid><oa>free_for_read</oa></addata></record> |
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| subjects | Adult Age Factors Analysis Anatomic Landmarks Bridge loads Cephalometry Computed tomography Cone-Beam Computed Tomography Correlation analysis Correlation coefficient Correlation coefficients Craniofacial abnormalities Demographic aspects Diagnosis Diameters Face - anatomy & histology Far East Female Females Humans Male Males Mathematical analysis Methods Morphology Ossification Population studies Sella Turcica - anatomy & histology Sex Characteristics Sexes Skeleton Statistical models Tomography |
| title | Morphology of Sella Turcica and Bridging Prevalence Correlated with Sex and Craniofacial Skeletal Pattern in Eastern Asia Population: CBCT Study |
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