Variability associated with mandibular ramus area thickness and depth in subjects with different growth patterns, gender, and growth status

2021 ◽  
Author(s):  
Shivam Mehta ◽  
Sarah Abu Arqub ◽  
Ravish Sharma ◽  
Natasha Patel ◽  
Aditya Tadinada ◽  
...  
Keyword(s):  
Growth Patterns ◽  
Mandibular Ramus ◽  
Growth Status

scholarly journals Modelling growth curves of the normal infant’s mandible: 3D measurements using computed tomography

2021 ◽  
Author(s):  
Jan Aart M. Schipper ◽  
Manouk J. S. van Lieshout ◽  
Stefan Böhringer ◽  
Bonnie L. Padwa ◽  
Simon G. F. Robben ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Growth Models ◽  
Normal Growth ◽  
Growth Patterns ◽  
Ct Scans ◽  
Mandibular Ramus ◽  
Linear Measurements ◽  
Mandibular Growth ◽  
Gonial Angle ◽  
Mandibular Body

Abstract Objectives Data on normal mandibular development in the infant is lacking though essential to understand normal growth patterns and to discriminate abnormal growth. The aim of this study was to provide normal linear measurements of the mandible using computed tomography performed in infants from 0 to 2 years of age. Material and methods 3D voxel software was used to calculate mandibular body length, mandibular ramus length, bicondylar width, bigonial width and the gonial angle. Intra- and inter-rater reliability was assessed for these measurements. They were found to be sufficient for all distances; intra-class correlation coefficients were all above 0.9. Regression analysis for growth modelling was performed. Results In this multi-centre retrospective study, 109 CT scans were found eligible that were performed for various reasons (e.g. trauma, craniosynostosis, craniofacial abscesses). Craniosynostosis patients had larger mandibular measurements compared to non-craniosynostosis patients and were therefore excluded. Fifty-one CT scans were analysed. Conclusions Analysis showed that the mandible increases more in size vertically (the mandibular ramus) than horizontally (the mandibular body). Most of the mandibular growth occurs in the first 6 months. Clinical relevance These growth models provide insight into normal mandibular development in the first 2 years of life. This reference data facilitates discrimination between normal and abnormal mandibular growth.

Mandibular ramus height and condyle distance asymmetries in individuals with different facial growth patterns: a cone-beam computed tomography study

2020 ◽  
Author(s):  
Christian Reis Lemes ◽  
Carolina Fernandes Tozzi ◽  
Saulo Gribel ◽  
Bruno Frazão Gribel ◽  
Giovana Cherubini Venezian ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Cone Beam Computed Tomography ◽  
Growth Patterns ◽  
Cone Beam ◽  
Facial Growth ◽  
Mandibular Ramus ◽  
Ramus Height

GROWTH STATUS OF CHILDREN EXPOSED TO FALLOUT RADIATION ON MARSHALL ISLANDS

PEDIATRICS ◽  
1965 ◽  
Vol 36 (5) ◽  
pp. 721-731
Author(s):  
W. W. Sutow ◽  
R. A. Conard ◽  
K. M. Griffith
Keyword(s):  
Longitudinal Studies ◽  
Growth Patterns ◽  
Exposed Group ◽  
Marshall Islands ◽  
Skeletal Maturation ◽  
Growth Status ◽  
Fallout Radiation

Longitudinal studies on 38 children who were exposed to fallout radiation on Rongelap and Ailingnae atolls, Marshall Islands, in March, 1954, have shown retardation in both statural growth and skeletal maturation among the exposed boys as compared to non-exposed comparison children. The retardation was noted among boys who were under 5 years of age when exposed to the fallout, being most prominent among those who were 12 to 18 months old at time of exposure. No statistically significant differences were noted in the growth patterns between the exposed and the non-exposed group of girls and between 39 children born to exposed parents subsequent to fall-out and 53 children born to non-exposed parents.

Diagnostic Value of Electron Microscopy in Soft Tissue Tumors

1970 ◽  
Vol 28 ◽  
pp. 220-221
Author(s):  
Gerald Fine ◽  
Azorides R. Morales
Keyword(s):  
Cardiac Myxoma ◽  
Osteogenic Sarcoma ◽  
Diagnostic Value ◽  
Soft Tissue Tumors ◽  
Amelanotic Melanoma ◽  
Growth Patterns ◽  
Light Microscopic Level ◽  
Mesenchymal Tumors ◽  
Good Agreement

For years the separation of carcinoma and sarcoma and the subclassification of sarcomas has been based on the appearance of the tumor cells and their microscopic growth pattern and information derived from certain histochemical and special stains. Although this method of study has produced good agreement among pathologists in the separation of carcinoma from sarcoma, it has given less uniform results in the subclassification of sarcomas. There remain examples of neoplasms of different histogenesis, the classification of which is questionable because of similar cytologic and growth patterns at the light microscopic level; i.e. amelanotic melanoma versus carcinoma and occasionally sarcoma, sarcomas with an epithelial pattern of growth simulating carcinoma, histologically similar mesenchymal tumors of different histogenesis (histiocytoma versus rhabdomyosarcoma, lytic osteogenic sarcoma versus rhabdomyosarcoma), and myxomatous mesenchymal tumors of diverse histogenesis (myxoid rhabdo and liposarcomas, cardiac myxoma, myxoid neurofibroma, etc.)

Episodic whole plant growth patterns in Ligustrum

1993 ◽  
Vol 89 (1) ◽  
pp. 33-39 ◽  
Author(s):  
Jeff S. Kuehny ◽  
Mary C. Halbrooks
Keyword(s):  
Plant Growth ◽  
Growth Patterns ◽  
Whole Plant

Larval Behavior and Protective Implications for Sea Scallops and Surf Clams within the Middle Atlantic Bight: Part Two, Variability of Physical Environment and Larval Behaviors

2019 ◽  
Vol 2 (2) ◽  
Keyword(s):  
Physical Environment ◽  
Climate Changes ◽  
Larval Growth ◽  
Growth Patterns ◽  
Larval Behavior ◽  
Larval Release ◽  
Physical Conditions ◽  
Climatic Variations ◽  
Middle Atlantic ◽  
Sea Scallops

Larval growth and settlement rates are important larval behaviors for larval protections. The variability of larval growthsettlement rates and physical conditions for 2006-2012 and in the future with potential climate changes was studied using the coupling ROMS-IMBs, and new temperature and current indexes. Forty-four experimental cases were conducted for larval growth patterns and release mechanisms, showing the spatial, seasonal, annual, and climatic variations of larval growthsettlement rates and physical conditions, demonstrating that the slight different larval temperature-adaption and larval release strategies made difference in larval growth-settlement rates, and displaying that larval growth and settlement rates highly depended upon physical conditions and were vulnerable to climate changes.

Parasites alter behavior, reproductive output, and growth patterns of Aurelia medusae in a marine lake

2015 ◽  
Vol 540 ◽  
pp. 87-98 ◽  
Author(s):  
LM Chiaverano ◽  
WM Graham ◽  
JH Costello
Keyword(s):  
Reproductive Output ◽  
Growth Patterns

Application of Fractal Growth Patterns in Housing Layout Design

2016 ◽  
Vol 3 (2) ◽  
pp. 185-208
Author(s):  
SUBHADHA BATTINA
Keyword(s):  
Layout Design ◽  
Growth Patterns ◽  
Fractal Growth ◽  
Housing Layout

Measurement and interpretation of growth patterns in chrysoberyl, including alexandrite

2011 ◽  
Vol 32 (5) ◽  
pp. 129-144
Author(s):  
Karl Schmetzer ◽  
Heinz-Jürgen Bernhardt ◽  
Thomas Hainschwang
Keyword(s):  
Growth Patterns
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