The Accuracy of Computer Software Prediction of Soft Tissue Profile for Patients Undergoing Fixed Orthodontic Treatment
NCT ID: NCT05978856
Last Updated: 2023-08-07
Study Results
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Basic Information
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UNKNOWN
30 participants
OBSERVATIONAL
2023-08-01
2025-03-01
Brief Summary
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Detailed Description
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Conditions
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Study Design
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OTHER
RETROSPECTIVE
Study Groups
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A
real photoes (after treatment)
Accuracy of computer software in predicting soft tissue profile changes
Separate analyses will be performed on the initial and final cephalograms.
* All of the cephalometric analyses will be done via computer software,the linear and angular measurements will be done via the software.
* Through the use of software, the initial cephalogram and the initial photograph will be linked.
* Then, the final values of some angles will be tracted from the post-treatment cephalogram.
* These values will be inserted in the "treatment simulation"section of the software.
* A post-treatment projected image of the patient will be simulated by the software.
* Then the actual post-treatment photograph will be placed on the simulated image in transparent form.
* From the pupil , real horizontal and vertical reference lines will be drawn.
* Then certain measurements will be taken from referance lines to fixed points on the soft tissue to determine the discrepancies between the real and simulated images.
B
simulated photoes
No interventions assigned to this group
Interventions
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Accuracy of computer software in predicting soft tissue profile changes
Separate analyses will be performed on the initial and final cephalograms.
* All of the cephalometric analyses will be done via computer software,the linear and angular measurements will be done via the software.
* Through the use of software, the initial cephalogram and the initial photograph will be linked.
* Then, the final values of some angles will be tracted from the post-treatment cephalogram.
* These values will be inserted in the "treatment simulation"section of the software.
* A post-treatment projected image of the patient will be simulated by the software.
* Then the actual post-treatment photograph will be placed on the simulated image in transparent form.
* From the pupil , real horizontal and vertical reference lines will be drawn.
* Then certain measurements will be taken from referance lines to fixed points on the soft tissue to determine the discrepancies between the real and simulated images.
Other Intervention Names
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Eligibility Criteria
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Inclusion Criteria
* Skeletal class I.
* Dental class I or II or III.
* Final class I occlusion without spacing or crowding, with normal overjet and overbite (2-4 mm)
* Availability of full diagnostic and therapeutic records before to and following orthodontic treatment, including medical and dental history, dental casts, panoramic and cephalometric x-rays, and photographic photographs.
Exclusion Criteria
* Craniofacial syndromes or skeletal abnormalities.
* Failed orthodontic treatment in the past.
* Cosmetic or reconstructive facial surgery during orthodontic treatment, or up to a year beforehand.
* Using drugs that could reduce the volume of soft tissues.
15 Years
35 Years
ALL
Yes
Sponsors
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Al-Azhar University
OTHER
Responsible Party
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Salah Hasan Saleh Mohamed
General Physician at the Ministry of Health
Locations
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Dental medicine al-azhar university
Asyut, Assuit, Egypt
Countries
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Central Contacts
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Facility Contacts
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References
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Kolokitha OE, Chatzistavrou E. Factors influencing the accuracy of cephalometric prediction of soft tissue profile changes following orthognathic surgery. J Maxillofac Oral Surg. 2012 Mar;11(1):82-90. doi: 10.1007/s12663-011-0253-6. Epub 2011 Jul 7.
Kolokitha OE. Validity of a manual soft tissue profile prediction method following mandibular setback osteotomy. Eur J Dent. 2007 Oct;1(4):202-11.
Leonardi R, Annunziata A, Licciardello V, Barbato E. Soft tissue changes following the extraction of premolars in nongrowing patients with bimaxillary protrusion. A systematic review. Angle Orthod. 2010 Jan;80(1):211-6. doi: 10.2319/010709-16.1.
Drobocky OB, Smith RJ. Changes in facial profile during orthodontic treatment with extraction of four first premolars. Am J Orthod Dentofacial Orthop. 1989 Mar;95(3):220-30. doi: 10.1016/0889-5406(89)90052-8.
Al-Omiri MK, Abu Alhaija ES. Factors affecting patient satisfaction after orthodontic treatment. Angle Orthod. 2006 May;76(3):422-31. doi: 10.1043/0003-3219(2006)076[0422:FAPSAO]2.0.CO;2.
Kolokitha OE, Topouzelis N. Cephalometric methods of prediction in orthognathic surgery. J Maxillofac Oral Surg. 2011 Sep;10(3):236-45. doi: 10.1007/s12663-011-0228-7. Epub 2011 May 17.
Smith JD, Thomas PM, Proffit WR. A comparison of current prediction imaging programs. Am J Orthod Dentofacial Orthop. 2004 May;125(5):527-36. doi: 10.1016/S0889540604001210.
Patterson Dental Supply. Imaging. In: Dolphin Imaging. 2012. Retrieved December 17th 2012, from http://www.dolphinimaging.com/imaging.html.
Gossett CB, Preston CB, Dunford R, Lampasso J. Prediction accuracy of computer-assisted surgical visual treatment objectives as compared with conventional visual treatment objectives. J Oral Maxillofac Surg. 2005 May;63(5):609-17. doi: 10.1016/j.joms.2005.01.004.
Ioannidou-Marathiotou I, Papamanou DA, Papadopoulos MA. Orthodontics and esthetics of the face: from the "canons" of ancient times to contemporary pluralism. A critical review. Prog Orthod. 2008;9(2):20-33.
Prabhakar R, Rajakumar P, Karthikeyan MK, Saravanan R, Vikram NR, Reddy A. A hard tissue cephalometric comparative study between hand tracing and computerized tracing. J Pharm Bioallied Sci. 2014 Jul;6(Suppl 1):S101-6. doi: 10.4103/0975-7406.137401.
Nadjmi N, Tehranchi A, Azami N, Saedi B, Mollemans W. Comparison of soft-tissue profiles in Le Fort I osteotomy patients with Dolphin and Maxilim softwares. Am J Orthod Dentofacial Orthop. 2013 Nov;144(5):654-62. doi: 10.1016/j.ajodo.2013.06.019.
Other Identifiers
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VTO
Identifier Type: -
Identifier Source: org_study_id
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