Accuracy of Computer Programs in Predicting Orthognathic Surgery Soft Tissue Response

Kaipatur, Neelambar R.; Flores-Mir, Carlos

doi:10.1016/j.joms.2008.11.006

Cited by 94 publications

(62 citation statements)

References 33 publications

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“…A systematic review that evaluated the accuracy of various computer prediction programs at predicting soft tissue changes after orthognathic surgery using 2D prediction software demonstrated that in general these software systems showed accurate prediction results (<2 mm) when compared with the actual soft tissue profile post-surgery (Kaipatur and Flores-Mir, 2009). Jones et al (2007) demonstrated that a 3mm change in facial soft tissue profile is required before it is noticed by laypeople or a specialist panel.…”

Section: Clinically Noticeable Differences Between Predictions and Acmentioning

confidence: 99%

“…Some programs incorporate different ratios for the soft tissue response for different facial forms (Dolphin Imaging™, Dolphin Imaging Inc., California, USA) but despite the differences between the numerous available programs, the prediction of changes to the outline of the upper and lower lip seem to be the most difficult areas to predict accurately (Konstiantos et al, 1994;Chunmaneechote et al, 1999;Kaipatur and Flores-Mir., 2009;Gimenez et al, 2013).…”

Section: Computerised Predictionmentioning

confidence: 99%

“…Kaipatur and Flores-Mir (2009) and Magro-Filho et al (2010) have demonstrated very little overall differences in the predictive accuracy of the main orthognathic prediction software programs available on the market.…”

Section: Computerised Predictionmentioning

confidence: 99%

“…Moreover, only horizontal and vertical profile changes can be determined in 2D (Kaipatur and Flores-Mir, 2009). Patients are unaccustomed to viewing themselves in profile and it is therefore difficult for them to visualise profile changes in their facial appearance following surgery (Pospisil, 1987).…”

Section: Limitations Of Cephalometric Orthognathic Surgery Planningmentioning

confidence: 99%

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The Validity of 3dMD Vultus in Predicting Soft Tissue Morphology Following Orthognathic Surgery

Ullah

Turner

Khambay

2014

British Journal of Oral and Maxillofacial Surgery

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Objectives:To determine the validity of 3dMD Vultus in predicting soft tissue morphology following orthognathic surgery. Methods:Thirteen patients with a skeletal discrepancy that required surgical correction limited to a Le Fort I surgical advancement osteotomy were included within the study. These patients had previously undergone a CBCT scan immediately before surgery (T1) and 6 months after surgery (T2).To permit validation, hard and soft tissues were linked for each time point and the hard tissues superimposed on the cranial vault and base. Using 3dMD Vultus virtual surgery was carried out to position the mandible and maxilla at T1 to the post-surgical position at T2. The resulting 3D soft tissue prediction mesh was then compared to the actual soft tissue mesh at T2 by segmenting both meshes at distinct anatomically areas of the face. The absolute distance between meshes for each region was then calculated using a custom developed computer program.

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Section: Clinically Noticeable Differences Between Predictions and Acmentioning

confidence: 99%

Section: Computerised Predictionmentioning

confidence: 99%

Section: Computerised Predictionmentioning

confidence: 99%

Section: Limitations Of Cephalometric Orthognathic Surgery Planningmentioning

confidence: 99%

See 2 more Smart Citations

The Validity of 3dMD Vultus in Predicting Soft Tissue Morphology Following Orthognathic Surgery

Ullah

Turner

Khambay

2014

British Journal of Oral and Maxillofacial Surgery

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“…As mentioned, traditionally in cephalometrics, landmark identification errors or prediction errors have been most commonly reported by means of one-dimensional variables, such as linear-and/or angular measurements, i.e., linear measurements between two landmarks separately in either horizontal (x-axis) or in vertical (y-axis) [12][13][14][15][16][17] or degrees of angles among three points. [16][17][18] The problem associated with the reliability of linear or angular measurements is because a linear measurement is formed from two points and an angle is formed from three points.…”

mentioning

confidence: 99%

How to report reliability in orthodontic research: Part 1

Donatelli

Lee

2013

American Journal of Orthodontics and Dentofacial Orthopedics

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Proper statistical analysis is an absolutely essential tool for both clinicians and researchers attempting to implement evidence-based decisions. When analyzing reliability, statistical graphical representation is the best method. Other previously published error studies of 2D measurements, such as cephalometric landmarks, have inappropriately applied one-dimensional approaches, such as linear-or angular measurements. The aim of this present article is to illustrate a graphic presentation method that can be applied to two-dimensional (2D) data sets. We propose that this 2D visualization technique, that can visualize errors in both x-and y axes simultaneously, should be utilized when reporting the reliability of a 2D data set. Our prediction error analysis of soft tissue changes after orthognathic surgery will be presented as an example. By applying different colors to each ellipse, this method can also identify any between-group differences that may be present.

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Predicting and Managing Surgical Intervention in Craniofacial Disharmony ‐ A Biomechanical Perspective

Richmond¹,

Beldie²,

Lü³

et al. 2010

Three‐Dimensional Imaging for Orthodontics and Maxillofacial Surgery

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Accuracy of Computer Programs in Predicting Orthognathic Surgery Soft Tissue Response

Cited by 94 publications

References 33 publications

The Validity of 3dMD Vultus in Predicting Soft Tissue Morphology Following Orthognathic Surgery

The Validity of 3dMD Vultus in Predicting Soft Tissue Morphology Following Orthognathic Surgery

How to report reliability in orthodontic research: Part 1

Predicting and Managing Surgical Intervention in Craniofacial Disharmony ‐ A Biomechanical Perspective

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