EdenteV2, Istex, Corpus, bibRecord, 007733

Ultrasonography, lateral cephalometry and 3D imaging of the human masseter muscle

Identifieur interne : 007733 ( Istex/Corpus ); précédent : 007732; suivant : 007734

Ultrasonography, lateral cephalometry and 3D imaging of the human masseter muscle

Auteurs : S. Naser-Ud-Din ; K. Thoirs ; Wj Sampson

Source :

Orthodontics & Craniofacial Research [ 1601-6335 ] ; 2011-02.

RBID : ISTEX:F0B972F5514182E9DF84167CAE5C85A96438EF6E

English descriptors

KwdEn :
- Adelaide, Altman method, Anterior face height, Anthropometric measurements, Anthropometry, Cephalograms, Cephalometric, Cephalometric shapes, Cephalometry, Cleft palate craniofac, Complex shapes, Craniofac, Craniofacial, Craniofacial morphology, Craniofacial region, Current study, Curvilinear, Curvilinear measurements, Dentofacial, Descriptive statistics, Face height, Facial, Facial imaging, Facial morphology, Facial width, Factor analysis, Fourier analysis, Gnathion, Gonial angle, Gonion, Height index, High correlation, Human masseter muscle, Imaging, Imaging modalities, Imaging table, Imaging techniques, Landmark, Lateral, Lateral cephalograms, Lateral cephalometric, Lateral cephalometric variables, Lateral cephalometry, Linear measurements, Mandibular, Mandibular depth, Mandibular depth curvilinear, Mandibular growth, Mandibular inclination, Masseter, Masseter length, Masseter muscle, Masseter muscle volume, Mathematical models, Method error, Mona lisa, Oral maxillofac surg, Orthod, Orthod craniofac, Orthod dentofacial orthop, Orthodontic unit, Orthop, Overbite depth indicator, Prediction equations, Predictive, Predictive equations, Ramal length, Range years, Recent work, Soft tissues, Standard deviation, Standard deviations, Standard error, Strong correlations, Surg, Tragus, Treatment planning, Ultrasonography, Ultrasound group, Volume thickness, Zygomatic tubercle.
Teeft :
- Adelaide, Altman method, Anterior face height, Anthropometric measurements, Anthropometry, Cephalograms, Cephalometric, Cephalometric shapes, Cephalometry, Cleft palate craniofac, Complex shapes, Craniofac, Craniofacial, Craniofacial morphology, Craniofacial region, Current study, Curvilinear, Curvilinear measurements, Dentofacial, Descriptive statistics, Face height, Facial, Facial imaging, Facial morphology, Facial width, Factor analysis, Fourier analysis, Gnathion, Gonial angle, Gonion, Height index, High correlation, Human masseter muscle, Imaging, Imaging modalities, Imaging table, Imaging techniques, Landmark, Lateral, Lateral cephalograms, Lateral cephalometric, Lateral cephalometric variables, Lateral cephalometry, Linear measurements, Mandibular, Mandibular depth, Mandibular depth curvilinear, Mandibular growth, Mandibular inclination, Masseter, Masseter length, Masseter muscle, Masseter muscle volume, Mathematical models, Method error, Mona lisa, Oral maxillofac surg, Orthod, Orthod craniofac, Orthod dentofacial orthop, Orthodontic unit, Orthop, Overbite depth indicator, Prediction equations, Predictive, Predictive equations, Ramal length, Range years, Recent work, Soft tissues, Standard deviation, Standard deviations, Standard error, Strong correlations, Surg, Tragus, Treatment planning, Ultrasonography, Ultrasound group, Volume thickness, Zygomatic tubercle.

Abstract

To cite this article:  Naser‐ud‐Din S, Thoirs K, Sampson WJ: Ultrasonography, lateral cephalometry and 3D imaging of the human masseter muscle Orthod Craniofac Res 2011;14:33–43

Url:

https://api.istex.fr/document/F0B972F5514182E9DF84167CAE5C85A96438EF6E/fulltext/pdf

DOI: 10.1111/j.1601-6343.2010.01505.x

Links to Exploration step

ISTEX:F0B972F5514182E9DF84167CAE5C85A96438EF6E

Le document en format XML

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<affiliation>S. Naser‐ud‐Din, Orthodontic Unit, School of Dentistry, University of Adelaide, Adelaide, SA, Australia and University of Queensland, School of Dentistry, Brisbane Queensland, Australia K. Thoirs, School of Health Sciences, University of South Australia, Adelaide, SA, Australia W.J. Sampson, Begg Chair, Orthodontic Unit, School of Dentistry, University of Adelaide, Adelaide, SA, Australia<address><country key="AU"></country>
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               <hi rend="bold">To cite this article:</hi>
           Naser‐ud‐Din S, Thoirs K, Sampson WJ: Ultrasonography, lateral cephalometry and 3D imaging of the human masseter muscle <hi rend="italic">Orthod Craniofac Res</hi>
 2011;<hi rend="bold">14</hi>
:33–43</p>


Structured Abstract
<p><hi rend="bold">Authors – </hi>
 Naser‐ud‐Din S, Thoirs K, Sampson WJ</p>
<p><hi rend="bold">Purpose – </hi>
 To develop prediction equations to assist the clinician to derive cephalometric norms from the non‐invasive investigations of ultrasonography (US) and 3D imaging.</p>
<p><hi rend="bold">Setting and Sample Population – </hi>
 Adult volunteers from University of Adelaide participated in the study.</p>
<p><hi rend="bold">Methods – </hi>
 Eleven volunteers (eight women, three men; age range 22–30 years) were recruited for US and standard lateral radiographs measurements along with 3D facial imaging using a structured light technique. The three examinations were performed to assess the vertical and transverse dimensions of the face along with superficial masseter muscle dimensions. In total, 31 variables were statistically analysed for relationship among the three imaging modalities.</p>
<p><hi rend="bold">Results – </hi>
 Pearson’s correlation coefficients showed highly significant correlations between lateral cephalometric (Co–Go to R3–R4) and US (volume – thickness) variables (<hi rend="italic">r</hi>
 = 0.92, <hi rend="italic">p</hi>
 < 0.0001; <hi rend="italic">r</hi>
 = 0.95, <hi rend="italic">p</hi>
 < 0.0001, respectively). Strong correlations were also observed with Co–Go and masseter muscle area derived from US <hi rend="italic">r</hi>
 = 0.81 (<hi rend="italic">p</hi>
 = 0.01). Similarly, strong correlations were seen between gonion–menton (Go–me) and facial width from 3D imaging (<hi rend="italic">r</hi>
 = 0.83, <hi rend="italic">p</hi>
 = 0.003). A high statistical significance (<hi rend="italic">p</hi>
 > 0.0001) for curvilinear measurements compared with linear counterparts was revealed with the paired <hi rend="italic">t</hi>
‐test. Factor analyses provided meaningful interrelationships for predictive equations generated for lateral cephalometric variables from 3D image coordinates.</p>
<p><hi rend="bold">Conclusions – </hi>
 This preliminary investigation suggests that useful clinical information for treatment planning and follow‐up can be gathered without repeated exposure to ionizing radiation. For more robust predictive equations, a larger sample would be required to validate such a model.</p>
</abstract>
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<correspondenceTo><i>Dr Shazia Naser‐ud‐Din</i>
 School of Dentistry The University of Queensland 200 Turbot Street Brisbane Qld 4000 Australia E‐mail: <email>s.naseruddin@uq.edu.au</email>
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<abstractGroup><abstract type="main" xml:lang="en"><section xml:id="sec-sum-1"><p> <b>To cite this article:</b>
           Naser‐ud‐Din S, Thoirs K, Sampson WJ: Ultrasonography, lateral cephalometry and 3D imaging of the human masseter muscle <i>Orthod Craniofac Res</i>
 2011;<b>14</b>
:33–43</p>
</section>
<section xml:id="abs1-1"><title type="main">Structured Abstract</title>
<p><b>Authors – </b>
 Naser‐ud‐Din S, Thoirs K, Sampson WJ</p>
<p><b>Purpose – </b>
 To develop prediction equations to assist the clinician to derive cephalometric norms from the non‐invasive investigations of ultrasonography (US) and 3D imaging.</p>
<p><b>Setting and Sample Population – </b>
 Adult volunteers from University of Adelaide participated in the study.</p>
<p><b>Methods – </b>
 Eleven volunteers (eight women, three men; age range 22–30 years) were recruited for US and standard lateral radiographs measurements along with 3D facial imaging using a structured light technique. The three examinations were performed to assess the vertical and transverse dimensions of the face along with superficial masseter muscle dimensions. In total, 31 variables were statistically analysed for relationship among the three imaging modalities.</p>
<p><b>Results – </b>
 Pearson’s correlation coefficients showed highly significant correlations between lateral cephalometric (Co–Go to R3–R4) and US (volume – thickness) variables (<i>r</i>
 = 0.92, <i>p</i>
 < 0.0001; <i>r</i>
 = 0.95, <i>p</i>
 < 0.0001, respectively). Strong correlations were also observed with Co–Go and masseter muscle area derived from US <i>r</i>
 = 0.81 (<i>p</i>
 = 0.01). Similarly, strong correlations were seen between gonion–menton (Go–me) and facial width from 3D imaging (<i>r</i>
 = 0.83, <i>p</i>
 = 0.003). A high statistical significance (<i>p</i>
 > 0.0001) for curvilinear measurements compared with linear counterparts was revealed with the paired <i>t</i>
‐test. Factor analyses provided meaningful interrelationships for predictive equations generated for lateral cephalometric variables from 3D image coordinates.</p>
<p><b>Conclusions – </b>
 This preliminary investigation suggests that useful clinical information for treatment planning and follow‐up can be gathered without repeated exposure to ionizing radiation. For more robust predictive equations, a larger sample would be required to validate such a model.</p>
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<abstract>Authors –  Naser‐ud‐Din S, Thoirs K, Sampson WJ Purpose –  To develop prediction equations to assist the clinician to derive cephalometric norms from the non‐invasive investigations of ultrasonography (US) and 3D imaging. Setting and Sample Population –  Adult volunteers from University of Adelaide participated in the study. Methods –  Eleven volunteers (eight women, three men; age range 22–30 years) were recruited for US and standard lateral radiographs measurements along with 3D facial imaging using a structured light technique. The three examinations were performed to assess the vertical and transverse dimensions of the face along with superficial masseter muscle dimensions. In total, 31 variables were statistically analysed for relationship among the three imaging modalities. Results –  Pearson’s correlation coefficients showed highly significant correlations between lateral cephalometric (Co–Go to R3–R4) and US (volume – thickness) variables (r = 0.92, p < 0.0001; r = 0.95, p < 0.0001, respectively). Strong correlations were also observed with Co–Go and masseter muscle area derived from US r = 0.81 (p = 0.01). Similarly, strong correlations were seen between gonion–menton (Go–me) and facial width from 3D imaging (r = 0.83, p = 0.003). A high statistical significance (p > 0.0001) for curvilinear measurements compared with linear counterparts was revealed with the paired t‐test. Factor analyses provided meaningful interrelationships for predictive equations generated for lateral cephalometric variables from 3D image coordinates. Conclusions –  This preliminary investigation suggests that useful clinical information for treatment planning and follow‐up can be gathered without repeated exposure to ionizing radiation. For more robust predictive equations, a larger sample would be required to validate such a model.</abstract>
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Ultrasonography, lateral cephalometry and 3D imaging of the human masseter muscle

Ultrasonography, lateral cephalometry and 3D imaging of the human masseter muscle

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