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Journal of Peking University(Health Sciences) ›› 2020, Vol. 52 ›› Issue (1): 107-112. doi: 10.19723/j.issn.1671-167X.2020.01.017

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Visual sensitivity threshold of lateral view of nasolabial Angle changes in edentulous jaw patients

Lang YOU1,Ke-hui DENG2,Wei-wei LI2,Yi-jiao ZHAO2,△(),Yu-chun SUN2,△(),Yong-sheng ZHOU1   

  1. 1. Center of Digital Dentistry, Peking University School and Hospital of Stomatology & Department of Prosthodontics, Beijing 100081, China
    2. Center of Digital Dentistry, Peking University School and Hospital of Stomatology & National Clinical Research Center for Oral Diseases & National Engineering Laboratory for Digital and Material Technology of Stomatology & Beijing Key Laboratory of Digital Stomatology, Beijing 100081, China
  • Received:2019-10-09 Online:2020-02-18 Published:2020-02-20
  • Contact: Yi-jiao ZHAO,Yu-chun SUN E-mail:kqcadcs@bjmu.edu.cn;polarshining@163.com
  • Supported by:
    Supported by the National Key Research and Development Program of China(2018YFP1106900);the Program for New Clinical Techniques and Therapies of Peking University School and Hospital of Stomatology(PKUSSNCT-18G01);the Capital’s Funds for Health Improvement and Research(2018-2-4103)

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Abstract:

Objective: To study the visual sensitivity threshold of physician’s naked eye to the difference of nasolabial angle in edentulous jaw patients, and to provide a reference value for the study of aesthetic evaluation of soft tissue profile for the difference of nasolabial angle that can be recognized by human eyes. Methods: Three-dimensional facial images of three edentulous patients with different diagnostic dentures intro-oral were obtained.Lateral screenshots of each patient’s three-dimensional facial image with the same scale were obtained by using reverse engineering software (Geomagic studio 2014).The screenshot of the patient’s three-dimensional facial image with suitable lip support (The suitable lip support was confirmed by both patients and prosthodontists who had clinical experience for more than 20 years) was taken as the reference picture, and the remaining pictures were grouped with it respectively. All the pictures were observed in random order by the subjects. Fifteen dentists were asked to judge the difference of nasolabial angle between the two pictures of each group on the computer screen. The difference of nasolabial angle between the two pictures in each group was measured and calculated. The ROC curve was drawn, and the best cut-off value was calculated as the visual sensitivity threshold. Results: The data of the 15 subjects were used to draw ROC curves separately. The maximum and minimum best cut-off values were 5.55 degrees and 3.12 degrees respectively. The ROC curve of the whole 15 subjects was drawn after data aggregation, and the best cut-off value was 5.36 degrees (AUC=0.84>0.5, P=0.000<0.05).When the difference of nasolabial angle was above 5.36 degrees, the subjects could recognize it effectively. Conclusion: There is a visual limit in the observation of the nasolabial angle with the naked eye. In this study, a visual sensitivity threshold of 5.36 degrees for the difference of the nasolabial angle was obtained. The difference of nasolabial angle below this value can be regarded as no clinical significance. This result provides a reference value for human eyes to recognize the difference of nasolabial angle in soft tissue profile aesthetic evaluation. It can be applied to the aesthetic evaluation of soft tissue profile and can be used as the error level of related research with nasolabial angle as an index for accuracy evaluation.

Key words: Jaw,edentulous, Printing, three-dimensional, Esthetics, Computer-aided design, Imaging, three-dimensional

CLC Number: 

  • R783

Figure 1

Design diagnostic denture with suitable lip support A, import upper and lower jaw model; B, draw the line of maxillary alveolar ridge; C, draw the line of mandibular alveolar ridge; D, establish middle plane and occlusal plane; E, chose suitable dentition; F, complete the design of diagnostic denture with suitable lip support."

Figure 2

Design diagnostic denture with different lip support A,D, establish occlusal plane: three points(mesial incisal angle point of right maxillary incisor, mesial lingual cusp point of the right and left maxillary first molar)were chosen to establish occlusal plane; B, E, eleven condition of lip support (from occlusal view); C, S (-5) from right side view; F, S (+5) from right side view."

Figure 3

Lateral screenshots of 3D facial data with different NLAs and measurement of NLAs A, B, lateral screenshots of patients’ three-dimensional facial images with different nasolabial angle (NLA); C, measurement of NLA."

Figure 4

The receiver operating characteristic curves of 15 subjects (AUC=0.84>0.5, P=0.000<0.05). The point at the top left corner of the curve represented the best cut-off point"

[1] Harris R, Nagarkar P, Amirlak B . Varied definitions of nasolabial angle[J]. Plast Reconstr Surg Glob Open, 2016,4(6):e752.
[2] 徐安秀, 邓锋, 王芬芬 , 等. 鼻唇角改变对骨性Ⅰ类软组织侧貌影响的审美评价[J]. 华西口腔医学杂志, 2015,33(5):492-496.
[3] 马玥, 任嫒姝, 付钢 , 等. 鼻唇角、颏唇角改变对骨性Ⅱ类和Ⅲ类患者面容影响的三维美学评价[J]. 实用口腔医学杂志, 2017,33(5):647-652.
[4] Desesa CR, Metzler P, Sawh-Martinez R , et al. Three-dimensional nasolabial morphologic alterations following Le Fort I[J]. Plast Reconstr Surg Glob Open, 2016,4(8):e848.
[5] Aniruddh YV, Ravi K, Edeinton A. Comparative evaluation of soft tissue changes in Class Ⅰ borderline patients treated with extraction and nonextraction modalities[J]. Dental Press J Orthod, 2016,21(4):50-59.
[6] Kamashita Y, Kamada Y, Kawahata N , et al. Influence of lip support on the soft-tissue profile of complete denture wearers[J]. J Oral Rehabil, 2006,33(2):102-109.
[7] Kaipatur NR, Flores-Mir C . Accuracy of computer programs in predicting orthognathic surgery soft tissue response[J]. J Oral Maxillofac Surg, 2009,67(4):751-759.
[8] Raschke GF, Rieger UM, Bader RD , et al. Perioral aging: an anthropometric appraisal[J]. J Craniomaxillofac Surg, 2014,42(5):e312-e317.
[9] Sierpinska T, Golebiewska M, Kuc J , et al. The influence of the occlusal vertical dimension on masticatory muscle activities and hyoid bone position in complete denture wearers[J]. Adv Med Sci, 2009,54(1):104-108.
[10] Krajicek DD . Guides for natural facial appearance as related to complete denture construction[J]. J Prosthet Dent, 1969,21(6):654-662.
[11] Coleman SR, Grover R . The anatomy of the aging face: volume loss and changes in 3-dimensional topography[J]. Aesthet Surg J, 2006,26(Suppl 1):S4-S9.
[12] Owens EG, Goodacre CJ, Loh PL , et al. A multicenter interracial study of facial appearance. Part 1: A comparison of extraoral parameters[J]. Int J Prosthodont, 2002,15(3):273-282.
[13] Yuan F, Cheng C, Dai N , et al. Prediction of aesthetic reconstruction effects in edentulous patients[J]. Sci Rep, 2017,7(1):18077.
[14] Denes BJ, Bolton C, Illsley CS , et al. Notch coordinates periodontal ligament maturation through regulating lamin A[J]. J Dent Res, 2019,98(12):1357-1366.
[15] Katase H, Kanazawa M, Inokoshi M , et al. Face simulation system for complete dentures by applying rapid prototyping[J]. J Prosthet Dent, 2013,109(6):353-360.
[16] Schweiger J, Güth JF, Edelhoff D , et al. Virtual evaluation for cad-cam-fabricated complete dentures[J]. J Prosthet Dent, 2017,117(1):28-33.
[17] Franco SGC, Libdy MR, Normando D . Scan time, reliability and accuracy of craniofacial measurements using a 3D light scanner[J]. J Oral Biol Craniofac Res, 2019,9(4):331-335.
[18] Modabber A, Peters F, Kniha K , et al. Evaluation of the accuracy of a mobile and a stationary system for three-dimensional facial scanning[J]. J Craniomaxillofac Surg, 2016,44(10):1719-1724.
[19] Grant CA, Johnston M, Adam CJ , et al. Accuracy of 3D surface scanners for clinical torso and spinal deformity assessment[J]. Med Eng Phys, 2019,63:63-71.
[20] Li H, Lyu P, Sun Y , et al. A quantitative study of 3D-scanning frequency and Δd of tracking points on the tooth surface[J]. Sci Rep, 2015,5(2):14350.
[21] 萧宁, 王勇, 赵一姣 . 三维颜面部软组织正中矢状面确定方法的研究进展[J]. 中华口腔医学杂志, 2018,53(7):495-499.
[22] Lee JK, Jung PK, Moon CH . Three-dimensional cone beam computed tomographic image reorientation using soft tissues as reference for facial asymmetry diagnosis[J]. Angle Orthod, 2014,84(1):38-47.
[23] Nur RB, Çakan DG, Arun T . Evaluation of facial hard and soft tissue asymmetry using cone-beam computed tomography[J]. Am J Orthod Dentofacial Orthop, 2016,149(2):225-237.
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