author_facet Kareem, Fadil Abdullah
Rauf, Aras Maruf
Noori, Arass Jalal
Ali Mahmood, Trefa M.
Kareem, Fadil Abdullah
Rauf, Aras Maruf
Noori, Arass Jalal
Ali Mahmood, Trefa M.
author Kareem, Fadil Abdullah
Rauf, Aras Maruf
Noori, Arass Jalal
Ali Mahmood, Trefa M.
spellingShingle Kareem, Fadil Abdullah
Rauf, Aras Maruf
Noori, Arass Jalal
Ali Mahmood, Trefa M.
Computational and Mathematical Methods in Medicine
Prediction of the Dental Arch Perimeter in a Kurdish Sample in Sulaimani City Based on Other Linear Dental Arch Measurements as a Malocclusion Preventive Measure
Applied Mathematics
General Immunology and Microbiology
General Biochemistry, Genetics and Molecular Biology
Modeling and Simulation
General Medicine
author_sort kareem, fadil abdullah
spelling Kareem, Fadil Abdullah Rauf, Aras Maruf Noori, Arass Jalal Ali Mahmood, Trefa M. 1748-6718 1748-670X Hindawi Limited Applied Mathematics General Immunology and Microbiology General Biochemistry, Genetics and Molecular Biology Modeling and Simulation General Medicine http://dx.doi.org/10.1155/2020/8869996 <jats:p>The current study aimed to find a prediction equation to estimate the arch perimeter (AP) depending on various arch dimensions including intercanine width (ICW), intermolar width (IMW), interpremolar width (IPMW), and arch length (AL) in a sample of the Kurdish population in Sulaimani City. The study sample was 100 pairs of preorthodontic dental casts. Calculations of dental arch dimensions and perimeter were performed by a digital vernier. Statistical analysis was performed via using the SPSS version 25 software. The developed prediction equation for the upper arch was <jats:inline-formula> <math xmlns="http://www.w3.org/1998/Math/MathML" id="M1"> <mtext>Y</mtext> <mo>=</mo> <mo>+</mo> <mn>1.3</mn> <mo>×</mo> <mfenced open="(" close=")"> <mrow> <mtext>arch</mtext> <mtext> </mtext> <mtext>length</mtext> </mrow> </mfenced> <mo>+</mo> <mn>1</mn> <mo>×</mo> <mfenced open="(" close=")"> <mrow> <mtext>intermolar</mtext> <mtext> </mtext> <mtext>width</mtext> </mrow> </mfenced> </math> </jats:inline-formula>, whereas the equation for the lower arch was <jats:inline-formula> <math xmlns="http://www.w3.org/1998/Math/MathML" id="M2"> <mtext>Y</mtext> <mo>=</mo> <mo>+</mo> <mn>0.9</mn> <mo>×</mo> <mfenced open="(" close=")"> <mrow> <mtext>intermolar</mtext> <mtext> </mtext> <mtext>width</mtext> </mrow> </mfenced> <mo>+</mo> <mn>0.92</mn> <mo>×</mo> <mfenced open="(" close=")"> <mrow> <mtext>intercanine</mtext> <mtext> </mtext> <mtext>width</mtext> </mrow> </mfenced> </math> </jats:inline-formula>. Paired <jats:inline-formula> <math xmlns="http://www.w3.org/1998/Math/MathML" id="M3"> <mi>t</mi> </math> </jats:inline-formula>-test revealed no statistical difference between predicted and real arch perimeters. Two separate prediction equations for upper and lower arches were developed based on the arch length (AL) and intermolar width (IMW) for the maxillary arch, intermolar (IMW), and inter canine widths (ICW) for the lower arch. The developed equations could have further beneficial impacts on orthodontic diagnosis and treatment planning.</jats:p> Prediction of the Dental Arch Perimeter in a Kurdish Sample in Sulaimani City Based on Other Linear Dental Arch Measurements as a Malocclusion Preventive Measure Computational and Mathematical Methods in Medicine
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series Computational and Mathematical Methods in Medicine
source_id 49
title Prediction of the Dental Arch Perimeter in a Kurdish Sample in Sulaimani City Based on Other Linear Dental Arch Measurements as a Malocclusion Preventive Measure
title_unstemmed Prediction of the Dental Arch Perimeter in a Kurdish Sample in Sulaimani City Based on Other Linear Dental Arch Measurements as a Malocclusion Preventive Measure
title_full Prediction of the Dental Arch Perimeter in a Kurdish Sample in Sulaimani City Based on Other Linear Dental Arch Measurements as a Malocclusion Preventive Measure
title_fullStr Prediction of the Dental Arch Perimeter in a Kurdish Sample in Sulaimani City Based on Other Linear Dental Arch Measurements as a Malocclusion Preventive Measure
title_full_unstemmed Prediction of the Dental Arch Perimeter in a Kurdish Sample in Sulaimani City Based on Other Linear Dental Arch Measurements as a Malocclusion Preventive Measure
title_short Prediction of the Dental Arch Perimeter in a Kurdish Sample in Sulaimani City Based on Other Linear Dental Arch Measurements as a Malocclusion Preventive Measure
title_sort prediction of the dental arch perimeter in a kurdish sample in sulaimani city based on other linear dental arch measurements as a malocclusion preventive measure
topic Applied Mathematics
General Immunology and Microbiology
General Biochemistry, Genetics and Molecular Biology
Modeling and Simulation
General Medicine
url http://dx.doi.org/10.1155/2020/8869996
publishDate 2020
physical 1-6
description <jats:p>The current study aimed to find a prediction equation to estimate the arch perimeter (AP) depending on various arch dimensions including intercanine width (ICW), intermolar width (IMW), interpremolar width (IPMW), and arch length (AL) in a sample of the Kurdish population in Sulaimani City. The study sample was 100 pairs of preorthodontic dental casts. Calculations of dental arch dimensions and perimeter were performed by a digital vernier. Statistical analysis was performed via using the SPSS version 25 software. The developed prediction equation for the upper arch was <jats:inline-formula> <math xmlns="http://www.w3.org/1998/Math/MathML" id="M1"> <mtext>Y</mtext> <mo>=</mo> <mo>+</mo> <mn>1.3</mn> <mo>×</mo> <mfenced open="(" close=")"> <mrow> <mtext>arch</mtext> <mtext> </mtext> <mtext>length</mtext> </mrow> </mfenced> <mo>+</mo> <mn>1</mn> <mo>×</mo> <mfenced open="(" close=")"> <mrow> <mtext>intermolar</mtext> <mtext> </mtext> <mtext>width</mtext> </mrow> </mfenced> </math> </jats:inline-formula>, whereas the equation for the lower arch was <jats:inline-formula> <math xmlns="http://www.w3.org/1998/Math/MathML" id="M2"> <mtext>Y</mtext> <mo>=</mo> <mo>+</mo> <mn>0.9</mn> <mo>×</mo> <mfenced open="(" close=")"> <mrow> <mtext>intermolar</mtext> <mtext> </mtext> <mtext>width</mtext> </mrow> </mfenced> <mo>+</mo> <mn>0.92</mn> <mo>×</mo> <mfenced open="(" close=")"> <mrow> <mtext>intercanine</mtext> <mtext> </mtext> <mtext>width</mtext> </mrow> </mfenced> </math> </jats:inline-formula>. Paired <jats:inline-formula> <math xmlns="http://www.w3.org/1998/Math/MathML" id="M3"> <mi>t</mi> </math> </jats:inline-formula>-test revealed no statistical difference between predicted and real arch perimeters. Two separate prediction equations for upper and lower arches were developed based on the arch length (AL) and intermolar width (IMW) for the maxillary arch, intermolar (IMW), and inter canine widths (ICW) for the lower arch. The developed equations could have further beneficial impacts on orthodontic diagnosis and treatment planning.</jats:p>
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author Kareem, Fadil Abdullah, Rauf, Aras Maruf, Noori, Arass Jalal, Ali Mahmood, Trefa M.
author_facet Kareem, Fadil Abdullah, Rauf, Aras Maruf, Noori, Arass Jalal, Ali Mahmood, Trefa M., Kareem, Fadil Abdullah, Rauf, Aras Maruf, Noori, Arass Jalal, Ali Mahmood, Trefa M.
author_sort kareem, fadil abdullah
container_start_page 1
container_title Computational and Mathematical Methods in Medicine
container_volume 2020
description <jats:p>The current study aimed to find a prediction equation to estimate the arch perimeter (AP) depending on various arch dimensions including intercanine width (ICW), intermolar width (IMW), interpremolar width (IPMW), and arch length (AL) in a sample of the Kurdish population in Sulaimani City. The study sample was 100 pairs of preorthodontic dental casts. Calculations of dental arch dimensions and perimeter were performed by a digital vernier. Statistical analysis was performed via using the SPSS version 25 software. The developed prediction equation for the upper arch was <jats:inline-formula> <math xmlns="http://www.w3.org/1998/Math/MathML" id="M1"> <mtext>Y</mtext> <mo>=</mo> <mo>+</mo> <mn>1.3</mn> <mo>×</mo> <mfenced open="(" close=")"> <mrow> <mtext>arch</mtext> <mtext> </mtext> <mtext>length</mtext> </mrow> </mfenced> <mo>+</mo> <mn>1</mn> <mo>×</mo> <mfenced open="(" close=")"> <mrow> <mtext>intermolar</mtext> <mtext> </mtext> <mtext>width</mtext> </mrow> </mfenced> </math> </jats:inline-formula>, whereas the equation for the lower arch was <jats:inline-formula> <math xmlns="http://www.w3.org/1998/Math/MathML" id="M2"> <mtext>Y</mtext> <mo>=</mo> <mo>+</mo> <mn>0.9</mn> <mo>×</mo> <mfenced open="(" close=")"> <mrow> <mtext>intermolar</mtext> <mtext> </mtext> <mtext>width</mtext> </mrow> </mfenced> <mo>+</mo> <mn>0.92</mn> <mo>×</mo> <mfenced open="(" close=")"> <mrow> <mtext>intercanine</mtext> <mtext> </mtext> <mtext>width</mtext> </mrow> </mfenced> </math> </jats:inline-formula>. Paired <jats:inline-formula> <math xmlns="http://www.w3.org/1998/Math/MathML" id="M3"> <mi>t</mi> </math> </jats:inline-formula>-test revealed no statistical difference between predicted and real arch perimeters. Two separate prediction equations for upper and lower arches were developed based on the arch length (AL) and intermolar width (IMW) for the maxillary arch, intermolar (IMW), and inter canine widths (ICW) for the lower arch. The developed equations could have further beneficial impacts on orthodontic diagnosis and treatment planning.</jats:p>
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spelling Kareem, Fadil Abdullah Rauf, Aras Maruf Noori, Arass Jalal Ali Mahmood, Trefa M. 1748-6718 1748-670X Hindawi Limited Applied Mathematics General Immunology and Microbiology General Biochemistry, Genetics and Molecular Biology Modeling and Simulation General Medicine http://dx.doi.org/10.1155/2020/8869996 <jats:p>The current study aimed to find a prediction equation to estimate the arch perimeter (AP) depending on various arch dimensions including intercanine width (ICW), intermolar width (IMW), interpremolar width (IPMW), and arch length (AL) in a sample of the Kurdish population in Sulaimani City. The study sample was 100 pairs of preorthodontic dental casts. Calculations of dental arch dimensions and perimeter were performed by a digital vernier. Statistical analysis was performed via using the SPSS version 25 software. The developed prediction equation for the upper arch was <jats:inline-formula> <math xmlns="http://www.w3.org/1998/Math/MathML" id="M1"> <mtext>Y</mtext> <mo>=</mo> <mo>+</mo> <mn>1.3</mn> <mo>×</mo> <mfenced open="(" close=")"> <mrow> <mtext>arch</mtext> <mtext> </mtext> <mtext>length</mtext> </mrow> </mfenced> <mo>+</mo> <mn>1</mn> <mo>×</mo> <mfenced open="(" close=")"> <mrow> <mtext>intermolar</mtext> <mtext> </mtext> <mtext>width</mtext> </mrow> </mfenced> </math> </jats:inline-formula>, whereas the equation for the lower arch was <jats:inline-formula> <math xmlns="http://www.w3.org/1998/Math/MathML" id="M2"> <mtext>Y</mtext> <mo>=</mo> <mo>+</mo> <mn>0.9</mn> <mo>×</mo> <mfenced open="(" close=")"> <mrow> <mtext>intermolar</mtext> <mtext> </mtext> <mtext>width</mtext> </mrow> </mfenced> <mo>+</mo> <mn>0.92</mn> <mo>×</mo> <mfenced open="(" close=")"> <mrow> <mtext>intercanine</mtext> <mtext> </mtext> <mtext>width</mtext> </mrow> </mfenced> </math> </jats:inline-formula>. Paired <jats:inline-formula> <math xmlns="http://www.w3.org/1998/Math/MathML" id="M3"> <mi>t</mi> </math> </jats:inline-formula>-test revealed no statistical difference between predicted and real arch perimeters. Two separate prediction equations for upper and lower arches were developed based on the arch length (AL) and intermolar width (IMW) for the maxillary arch, intermolar (IMW), and inter canine widths (ICW) for the lower arch. The developed equations could have further beneficial impacts on orthodontic diagnosis and treatment planning.</jats:p> Prediction of the Dental Arch Perimeter in a Kurdish Sample in Sulaimani City Based on Other Linear Dental Arch Measurements as a Malocclusion Preventive Measure Computational and Mathematical Methods in Medicine
spellingShingle Kareem, Fadil Abdullah, Rauf, Aras Maruf, Noori, Arass Jalal, Ali Mahmood, Trefa M., Computational and Mathematical Methods in Medicine, Prediction of the Dental Arch Perimeter in a Kurdish Sample in Sulaimani City Based on Other Linear Dental Arch Measurements as a Malocclusion Preventive Measure, Applied Mathematics, General Immunology and Microbiology, General Biochemistry, Genetics and Molecular Biology, Modeling and Simulation, General Medicine
title Prediction of the Dental Arch Perimeter in a Kurdish Sample in Sulaimani City Based on Other Linear Dental Arch Measurements as a Malocclusion Preventive Measure
title_full Prediction of the Dental Arch Perimeter in a Kurdish Sample in Sulaimani City Based on Other Linear Dental Arch Measurements as a Malocclusion Preventive Measure
title_fullStr Prediction of the Dental Arch Perimeter in a Kurdish Sample in Sulaimani City Based on Other Linear Dental Arch Measurements as a Malocclusion Preventive Measure
title_full_unstemmed Prediction of the Dental Arch Perimeter in a Kurdish Sample in Sulaimani City Based on Other Linear Dental Arch Measurements as a Malocclusion Preventive Measure
title_short Prediction of the Dental Arch Perimeter in a Kurdish Sample in Sulaimani City Based on Other Linear Dental Arch Measurements as a Malocclusion Preventive Measure
title_sort prediction of the dental arch perimeter in a kurdish sample in sulaimani city based on other linear dental arch measurements as a malocclusion preventive measure
title_unstemmed Prediction of the Dental Arch Perimeter in a Kurdish Sample in Sulaimani City Based on Other Linear Dental Arch Measurements as a Malocclusion Preventive Measure
topic Applied Mathematics, General Immunology and Microbiology, General Biochemistry, Genetics and Molecular Biology, Modeling and Simulation, General Medicine
url http://dx.doi.org/10.1155/2020/8869996