Journal of Dental Sciences
Volume 4, Issue 3 , Pages 118-129 , September 2009

Improving the video imaging prediction of postsurgical facial profiles with an artificial neural network

  • Chien-Hsun Lu

      Affiliations

    • Department of Dentistry, Taipei Medical University-Shuang Ho Hospital, Taipei, Taiwan
    • Department of Dentistry, Mackay Memorial Hospital, HsinChu, Taiwan
    • ,
  • Ellen Wen-Ching Ko

      Affiliations

    • Graduate Institute of Craniofacial and Oral Science, Chang Gung University, Taipei, Taiwan
    • Department of Craniofacial Orthodontics, Chang Gung Memorial Hospital, Taipei, Taiwan
    • ,
  • Li Liu

      Affiliations

    • Graduate Institute of Medical Informatics, Taipei Medical University and Taipei Medical University Hospital, Taipei, Taiwan
    • Corresponding Author InformationCorresponding author. Graduate Institute of Medical Informatics, Taipei Medical University and Taipei Medical University Hospital, c/o College of Public Health, National Taiwan University, Room 438, 4 F, 17, Xu-Zhou Road, Taipei 100, Taiwan

Received 10 May 2009 ,Accepted 13 August 2009.

References 

  1. Kiyak HA , Bell R . Psychosocial considerations in surgery and orthodontics . In:  Proffit WR ,  White RP editor. Surgical Orthodontic Treatment . St Louis, MO: Mosby-Year Book; 1991;p. 71–95
  2. Ackerman JL , Proffit WR . Communication in orthodontic treatment planning: bioethical and informed consent issues . Angle Orthod . 1995;65:253–261
  3. Turpin DL . The need for video imaging . Angle Orthod . 1995;65:243
  4. Proffit WR . Treatment planning: the search for wisdom . In:  Proffit WR ,  White RP editor. Surgical Orthodontic Treatment . St Louis, MO: Mosby-Year Book; 1991;p. 142–191
  5. Cohen MI . Mandibular prognathism . Am J Orthod . 1965;51:368–379
  6. McNeil RW , Proffit WR , White RP . Cephalometric prediction for orthodontic surgery . Angle Orthod . 1972;42:154–164
  7. Henderson D . The assessment and management of bony deformities of the middle and lower face . Br J Plast Surg . 1974;27:287–296
  8. Sarver DM , Johnston MW , Matukas VJ . Video imaging for planning and counseling in orthognathic surgery . J Oral Maxillofac Surg . 1988;46:939–945
  9. Sarver DM , Johnston MW . Video imaging: techniques for superimposition of cephalometric radiography and profile images . Int J Adult Orthodon Orthognath Surg . 1990;5:241–248
  10. Sarver DM , Matukas VJ , Weissman SM . Incorporation of facial plastic surgery in the planning and treatment of orthognathic surgical cases . Int J Adult Orthodon Orthognath Surg . 1991;6:227–239
  11. Lew KK . The reliability of computerized cephalometric soft tissue prediction following bimaxillary anterior subapical osteotomy . Int J Adult Orthodon Orthognath Surg . 1992;7:97–101
  12. Takahashi I , Takahashi T , Hamada M , et al.   Application of video surgery to orthodontic diagnosis . Int J Adult Orthodon Orthognath Surg . 1989;4:219–222
  13. Turpin DL . Computers coming on-line for diagnosis and treatment planning . Angle Orthod . 1990;60:163
  14. Laney TJ , Kuhn BS . Computer imaging in orthognathic and facial cosmetic surgery . Oral Maxillofac Clin North Am . 1990;2:659–668
  15. Phillips C , Hill BJ , Cannac C . The influence of video imaging on patients' perceptions and expectations . Angle Orthod . 1995;65:263–270
  16. Lu CH , Ko EW , Huang CS . The accuracy of video imaging prediction in soft tissue outcome after bimaxillary orthognathic surgery . J Oral Maxillofac Surg . 2003;61:333–342
  17. Sinclair PM , Kilpelainen P , Phillips C , White RP , Rogers L , Sarver DM . The accuracy of video imaging in orthognathic surgery . Am J Orthod Dentofacial Orthop . 1995;107:177–185
  18. Kazandjian S , Sameshima GT , Champlin T , Sinclair PM . Accuracy of video imaging for predicting the soft tissue profile after mandibular set-back surgery . Am J Orthod Dentofacial Orthop . 1999;115:382–389
  19. Sameshima GT , Kawakami RK , Kaminishi RM , Sinclair PM . Predicting soft tissue changes in maxillary impaction surgery: a comparison of two video imaging systems . Angle Orthod . 1997;67:347–354
  20. Syliangco ST , Sameshima GT , Kaminishi RM , Sinclair PM . Predicting soft tissue changes in mandibular advancement surgery: a comparison of two video imaging systems . Angle Orthod . 1997;67:337–346
  21. Konstiantos KA , O'Reilly MT , Close J . The validity of the prediction of soft tissue profile changes after LeFort I osteotomy using the Dentofacial Planner (computer software) . Am J Orthod Dentofacial Orthop . 1994;105:241–249
  22. Hing NR . The accuracy of computer generated prediction tracings . Int J Oral Maxillofac Surg . 1989;18:148–151
  23. Upton PM , Sadowsky PL , Sarver DM , Heaven TJ . Evaluation of video imaging prediction in combined maxillary and mandibular orthognathic surgery . Am J Orthod Dentofacial Orthop . 1997;112:656–665
  24. Ramesh AN , Kambhampati C , Monson JR , Drew PJ . Artificial intelligence in medicine . Ann R Coll Surg Engl . 2004;86:334–338
  25. Agatonovic-Kustrin S , Beresford R . Basic concepts of artificial neural network (ANN) modeling and its application in pharmaceutical research . J Pharm Biomed Anal . 2000;22:717–727
  26. Alvager T , Smith TJ , Vijai F . The use of artificial neural networks in biomedical technologies: an introduction . Biomed Instrum Technol . 1994;28:315–322
  27. Anderson D , McNeill G . Artificial Neural Networks Technology. A DACS State-of-the Art Report . Available at: https://www.thedacs.com/techs/abstracts/abstract.php?dan=347002 August 20, 1992;
  28. Mitchell TM . Chapter 4: Artificial neural networks . In:  Mitchell TM editors. Machine Learning . New York: McGraw-Hill; 1997;p. 81–127
  29. Werbos P . Beyond Regression: New Tools for Prediction and Analysis in the Behavioral Sciences [PhD thesis] . Cambridge, MA: Harvard University; 1974;
  30. Speight PM , Elliott AE , Jullien JA , Downer MC , Zakzrewska JM . The use of artificial intelligence to identify people at risk of oral cancer and precancer . Br Dent J . 1995;179:382–387 ;25
  31. Folland R , Hines EL , Boilot P , Morgan D . Classifying coronary dysfunction using neural networks through cardiovascular auscultation . Med Biol Eng Comput . 2002;40:339–343
  32. Spicker JS , Wikman F , Lu ML , et al.   Neural network predicts sequence of TP53 gene based on DNA chip . Bioinformatics . 2002;18:1133–1134
  33. Ortolani O , Conti A , Di Filippo A , et al.   EEG signal processing in anaesthesia: use of a neural network technique for monitoring depth of anaesthesia . Br J Anaesth . 2002;88:644–648
  34. Baxt WG , Shofer FS , Sites FD , Hollander JE . A neural computational aid to the diagnosis of acute myocardial infarction . Ann Emerg Med . 2002;39:366–373
  35. Chen Y , Thosar SS , Forbess RA , Kemper MS , Rubinovitz RL , Shukla AJ . Prediction of drug content and hardness of intact tablets using artificial neural network and near-infrared spectroscopy . Drug Dev Ind Pharm . 2001;27:623–631
  36. MacDowell M , Somoza E , Rothe K , Fry R , Brady K , Bocklet A . Understanding birthing mode decision making using artificial neural networks . Med Decis Making . 2001;21:433–443
  37. Lo JY , Baker JA , Kornguth PJ , Iglehart JD , Floyd CE . Predicting breast cancer invasion with artificial neural networks on the basis of mammographic features . Radiology . 1997;203:159–163
  38. Devito KL , de Souza Barbosa F , Filho WN Felippe . An artificial multilayer perceptron neural network for diagnosis of proximal dental caries . Oral Surg Oral Med Oral Pathol Oral Radiol Endod . 2008;106:879–884
  39. Radke JC , Ketcham R , Glassman B , Kull R . Artificial neural network learns to differentiate normal TMJs and nonreducing displaced disks after training on incisor-point chewing movements . Cranio . 2003;21:259–264
  40. Romani KL , Agahi F , Nanda R , Zernik JH . Evaluation of horizontal and vertical differences in facial profiles by orthodontists and lay people . Angle Orthod . 1993;63:175–182
  41. Scott JA , Aziz K , Yasuda T , Gewirtz H . Integration of clinical and imaging data to predict the presence of coronary artery disease with the use of neural networks . Coron Artery Dis . 2004;15:427–434

PII: S1991-7902(09)60017-9

doi: 10.1016/S1991-7902(09)60017-9

Journal of Dental Sciences
Volume 4, Issue 3 , Pages 118-129 , September 2009

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