The Influential Bony Factors and Vectors for Predicting Soft Tissue Responses After Orthognathic Surgery in Mandibular Prognathism

Han, Yoon-Sic; Lee, Ho

doi:10.1016/j.joms.2018.01.005

Cited by 5 publications

(3 citation statements)

References 25 publications

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“…For their part, Tiwari et al (2018), analyzing 3D photos obtained 12 months after orthognathic surgery, showed a relation between 1 mm of maxillary advancement with increase in average of 1.81º in the nasolabial angle and between 1 mm of maxillary regression related to a decrease of 2.73º in this angle. Han & Lee (2018), in a retrospective study where they analyzed patients who underwent orthognathic surgery, reported a direct relation between the rotation of the occlusal plane and the nasolabial angle, considering that for every degree of clockwise rotation of the occlusal plane, there is an average increase of 1.35º in the nasolabial angle. Labial dynamics were not assessed in these studies, determining that most of these relations are established at rest and not smiling.…”

Section: Discussionmentioning

confidence: 99%

Three-dimensional Analysis of Nasolabial Soft Tissues While Smiling Using stereophotogrammetry (3dMDTM)

et al. 2019

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The nasolabial region is the central esthetic unit of the face and is considered one of the most important determinants of the facial esthetic. The facial morphometry of soft tissues is a very important tool in facial surgery. Advances have been made recently in the capture and analysis of 3D images, which offer great development potential in the diagnosis and treatment of facial deformities. The aim of this study was to characterize the nasolabial region of patient candidates for orthognathic surgery using 3D facial captures. A study was conducted to characterize the width of the nasal base and the nasolabial angle in adult patients through 3D photographs. 30 subjects were included, taking two 3D photos each, one in a resting position and the other smiling. The three-dimensional capture was done with the 3dMDface System. The measurements were taken with the 3dMD Vultus software. The length of the alar base was an average of 34.3 ± 2.6 mm at rest, and 39.1 ± 2.9 mm smiling. The mean of the nasolabial angle was 104.6 ± 9.6° at rest and 105.4 ± 14.3º smiling. Additionally, the distance of the alar base smiling compared to its distance at rest increased an average of 4.83 mm, whereas the nasolabial angle smiling increased an average of 0.8º compared to at rest. In this study, the nasolabial angle did not present any significant changes so that its assessments in the case of facial modifications can be standard; the width of the nasal base is significantly modified with the smile and thus a more intense study of any type of modification in this area is required.

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Section: Discussionmentioning

confidence: 99%

Three-dimensional Analysis of Nasolabial Soft Tissues While Smiling Using stereophotogrammetry (3dMDTM)

et al. 2019

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“…The soft tissue surface distances were calculated by observing point-to-point correspondence. For each patient, ten soft tissue lateral landmarks [9,11,12] were obtained in the coordinate y (anteroposterior direction) and z (superoinferior direction) [15] (Table 1). In relation to accuracy, the distances from the soft tissue surface were considered positive if they were in the downward direction vertically and under-predicted anteroposteriorly.…”

Section: Data Collectionmentioning

confidence: 99%

“…Changes in soft tissues after bimaxillary surgery are multifactorial and rely on factors related to the surgery (magnitude and direction of bone movements) [2,9] and the patient (age, ethnicity, skin type, fat deposit, and orofacial muscle tone) [2,10]. There are few studies that assess factors inherent to the patient (e.g., sex and age) [11,12] and further investigations has been recommended for predicting the soft tissue response [2].…”

Section: Introductionmentioning

confidence: 99%

Accuracy of three-dimensional soft tissue profile prediction in orthognathic surgery

Yamashita

Filho

Ferraz

et al. 2021

Oral Maxillofac Surg

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Purpose To evaluate the accuracy of three-dimensional (3D) soft tissue prediction in bimaxillary orthognathic surgery. Methods Cone-beam computed tomographs of 88 patients with class II (n = 46) and class III (n = 42) malocclusions, who underwent bimaxillary orthognathic surgery, were included in this retrospective study. 3D soft tissue prediction and postoperative outcome were compared by using ten landmarks of facial soft tissues. Patients' sex and age were also assessed. Results were analyzed using a mixed model methodology (p < 0.05). ResultsThe success criterion adopted was a mean discrepancy of < 2 mm. Most mandibular landmarks indicated a tendency for underprediction with a downward direction in class II patients, with some values > 2 mm. In class III, there was overprediction with a downward direction for the mandibular landmarks, with values < 2 mm. More accurate results were found in female and older patients. Conclusions 3D surgical planning showed clinically acceptable results for predicting soft tissues in patients undergoing bimaxillary orthognathic surgery, with more accurate results for class III patients. Although some differences were found when age and sex were interacted, a consistent association between these variables could not be stated. These results support the clinician, as accuracy can provide a strong guide to the surgeon when planning surgical orthodontic treatment.

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Statistical Analysis of Midface Correction Treatment using Automated Image Analysis

Moriyama

Izumi

Miyahara

et al. 2021

2021 IEEE 10th Global Conference on Consumer Electronics (GCCE)

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The Influential Bony Factors and Vectors for Predicting Soft Tissue Responses After Orthognathic Surgery in Mandibular Prognathism

Cited by 5 publications

References 25 publications

Three-dimensional Analysis of Nasolabial Soft Tissues While Smiling Using stereophotogrammetry (3dMDTM)

Three-dimensional Analysis of Nasolabial Soft Tissues While Smiling Using stereophotogrammetry (3dMDTM)

Accuracy of three-dimensional soft tissue profile prediction in orthognathic surgery

Statistical Analysis of Midface Correction Treatment using Automated Image Analysis

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