Literature DB >> 6572474

The geometry of craniofacial growth invariants.

F L Bookstein.   

Abstract

In the description of craniofacial growth it is crucial to identify constant geometric relations. The search leads to complex manipulations of coordinate data from cephalograms. In the regularities that he finds, the clinician must be aware of the difference between empirical contingency and geometric necessity. For instance, common procedures for identifying centers away from which growth proceeds radially (the "polar phenomenon") ignore theorems about the indeterminacy of such centers. The scan for growth invariants in configurations of landmarks should be based on the method of tensor analysis. Any shape change may be summarized in terms of two directions in each triangle of landmarks. The directions are at 90 degrees in each triangle both before growth and after; one of them bears the greatest percent rate of change of length of all directions in the triangle, and the other bears the least. From a diagram of these axes one comes immediately to strict invariants of the shape change--specific angles and proportions along segments defined by relations between the triangle and the axes--linked to other specific angles and proportions which change most rapidly. It is simple to adapt this machinery so that it can deal with average shape changes in populations. Included here are two examples of the technique: (1) extracting the statistically most stable definition of "growth axis" (displacement of menton from cranial base) in children aged 6 to 14 years and (2) describing the shape change of the rat calvarium between the ages of 7 days and 150 days. Such descriptions should be the first step in designing any cephalometric analysis.

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Mesh:

Year:  1983        PMID: 6572474     DOI: 10.1016/0002-9416(83)90086-6

Source DB:  PubMed          Journal:  Am J Orthod        ISSN: 0002-9416


  10 in total

Review 1.  Use of computers in dysmorphology.

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2.  Reconsidering "The inappropriateness of conventional cephalometrics".

Authors:  Fred L Bookstein
Journal:  Am J Orthod Dentofacial Orthop       Date:  2016-06       Impact factor: 2.650

3.  Mandibular shape prediction model using machine learning techniques.

Authors:  Tania Camila Niño-Sandoval; Robinson Andrés Jaque; Fabio A González; Belmiro C E Vasconcelos
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4.  Sexual dimorphism in the human face assessed by euclidean distance matrix analysis.

Authors:  V F Ferrario; C Sforza; G Pizzini; G Vogel; A Miani
Journal:  J Anat       Date:  1993-12       Impact factor: 2.610

5.  Facial morphometry of Ecuadorian patients with growth hormone receptor deficiency/Laron syndrome.

Authors:  G B Schaefer; A L Rosenbloom; J Guevara-Aguirre; E A Campbell; F Ullrich; K Patil; J L Frias
Journal:  J Med Genet       Date:  1994-08       Impact factor: 6.318

6.  Measurement accuracy of a computer-assisted three-dimensional analysis and a conventional two-dimensional method.

Authors:  Huseyin Olmez; Serkan Gorgulu; Erol Akin; Ali Osman Bengi; Ibrahim Tekdemir; Fatih Ors
Journal:  Angle Orthod       Date:  2011-01-24       Impact factor: 2.079

7.  A comparative study of linear measurements on facial skeleton with frontal and lateral cephalogram.

Authors:  Chandra Sekhar Gandikota; Naveen Rayapudi; Padma Latha Challa; Shubhaker Rao Juvvadi; P V Yudhister; Gutti Hariprasad Rao
Journal:  Contemp Clin Dent       Date:  2012-04

Review 8.  Three-dimensional imaging techniques: A literature review.

Authors:  Orhan Hakki Karatas; Ebubekir Toy
Journal:  Eur J Dent       Date:  2014-01

Review 9.  Comparison of the Reliability of Anatomic Landmarks based on PA Cephalometric Radiographs and 3D CT Scans in Patients with Facial Asymmetry.

Authors:  Kamal Bajaj; Pooja Rathee; Pradeep Jain; Vasim Raja Panwar
Journal:  Int J Clin Pediatr Dent       Date:  2011-04-15

10.  Evaluation of mandibular volume using cone-beam computed tomography and correlation with cephalometric values.

Authors:  Koshu Katayama; Tetsutaro Yamaguchi; Mami Sugiura; Shugo Haga; Koutaro Maki
Journal:  Angle Orthod       Date:  2013-08-28       Impact factor: 2.079

  10 in total

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