The mesiodistal crown diameters of primary dentition in Indonesian Javanese children

Kuswandari, Sri; Nishino, Mizuho

doi:10.1016/j.archoralbio.2003.09.010

Cited by 29 publications

(16 citation statements)

References 19 publications

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“…Investigations into primary dental development and/or emergence patterns are common in the clinical literature (e.g., Friedlaender and Bailit, 1969;Baghdady and Ghose, 1981;Holman and Jones, 1991;Liversidge and Molleson, 2004;Mahoney, 2012), while a number of deciduous tooth studies are descriptive, defining phenotypic variability within and across populations. These include examinations of deciduous crown dimensions in living and ancient samples (e.g., Hanihara, 1970;Lukacs et al, 1983;Garc ıa-Godoy et al, 1985;Sciulli, 1990Sciulli, , 2001Farmer and Townsend, 1993;Kuswandari and Nishino, 2003) and a limited number of cross-population surveys (e.g., Harris, 2001;Harris and Lease, 2005). Within modern humans, anthropologists have considered the utility of deciduous elements for discerning bioregional affiliation and/or ancestry (e.g., Sciulli, 1977Sciulli, , 1980Kitagawa et al, 1995;Kitagawa, 2000;Harris, 2001;Lease, 2003;Lease and Sciulli, 2005).…”

Section: Deciduous Dental Phenotypes In Physical Anthropologymentioning

confidence: 99%

Performance analysis of deciduous morphology for detecting biological siblings

Paul

Stojanowski

2015

American J Phys Anthropol

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Section: Deciduous Dental Phenotypes In Physical Anthropologymentioning

confidence: 99%

Performance analysis of deciduous morphology for detecting biological siblings

Paul

Stojanowski

2015

American J Phys Anthropol

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“…If true, most men should be expected to exhibit greater fluctuating asymmetry than women. Kuswandari and Nishino [112], for example, studied dental asymmetry of young boys and girls. Dentition of males was more asymmetric than those of females.…”

Section: Sex Differencesmentioning

confidence: 99%

Fluctuating Asymmetry of Human Populations: A Review

Graham

Özener

2016

Symmetry

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Fluctuating asymmetry, the random deviation from perfect symmetry, is a widely used population-level index of developmental instability, developmental noise, and robustness. It reflects a population's state of adaptation and genomic coadaptation. Here, we review the literature on fluctuating asymmetry of human populations. The most widely used bilateral traits include skeletal, dental, and facial dimensions; dermatoglyphic patterns and ridge counts; and facial shape. Each trait has its advantages and disadvantages, but results are most robust when multiple traits are combined into a composite index of fluctuating asymmetry (CFA). Both environmental (diet, climate, toxins) and genetic (aneuploidy, heterozygosity, inbreeding) stressors have been linked to population-level variation in fluctuating asymmetry. In general, these stressors increase average fluctuating asymmetry. Nevertheless, there have been many conflicting results, in part because (1) fluctuating asymmetry is a weak signal in a sea of noise; and (2) studies of human fluctuating asymmetry have not always followed best practices. The most serious concerns are insensitive asymmetry indices (correlation coefficient and coefficient of indetermination), inappropriate size scaling, unrecognized mixture distributions, inappropriate corrections for directional asymmetry, failure to use composite indices, and inattention to measurement error. Consequently, it is often difficult (or impossible) to compare results across traits, and across studies.

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“…Studies investigating relationships between the mesial-distal width of the first molar and other permanent (Moorrees and Reed, 1964;Brace and Nagai, 1982) or deciduous teeth (Moorrees and Reed, 1964;Kieser, 1990;Kuswandari and Nishino, 2004) found low correlation coefficients (r < 0.50 in maxilla, r < 0.45 in mandible). Traditionally, calipers are used for measurements because they are inexpensive and accurate (Legovic et al, 2003;Kuswandari and Nishino, 2004;Hillson et al, 2005); however, they measure from point-to-point and, because of their size, are restricted to anatomical landmarks that are accessible to the caliper. Orientation of the calipers can also affect measurements (Hillson et al, 2005).…”

Section: Introductionmentioning

confidence: 92%

Predicting first molar width using virtual models of dental arches

et al. 2007

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In dentistry, large regions of dentition often are restored with minimal information about the original anatomy. The ability to predict missing anatomy from existing anatomy would aid such restorations. This study investigated the relationship between first molar mesial-distal width and arch shape using newly defined reference points and three-dimensional (3D) digital methods. Full-mouth dental stone casts from 167 dental students were scanned and rendered as 3D virtual models. Maxillary and mandibular arch lengths and widths and first molar mesial-distal widths were measured on the virtual models using new definitions incorporating virtual planes. A linear mixed model of the first molar width regressed on the other measurements was done. Intraobserver reproducibility was evaluated by means of intraclass correlation (ICC) and standard deviation of measurement error (SDME). All measured distances were averaged as a combined group and as gender groups. The correlation coefficients between the maxillary and mandibular first molar widths were over 0.70 (P < 0.01). Intraobserver error was small. ICCs were over 0.92 and SDMEs were from 0.11 to 0.21 mm. Arch dimensions and first molar widths were defined and measured. Regression equations were calculated for predicting first molar width. The prediction of first molar width using arch dimension is essential for virtual designing of missing first molars. This approach also provides reliable reference point definitions for the virtual dental model which was impossible with traditional measurement methods. Therefore, this study would be helpful for understanding the 3D anatomy of dental arch and fabrication of automatic prosthodontic restorations.

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The mesiodistal crown diameters of primary dentition in Indonesian Javanese children

Cited by 29 publications

References 19 publications

Performance analysis of deciduous morphology for detecting biological siblings

Performance analysis of deciduous morphology for detecting biological siblings

Fluctuating Asymmetry of Human Populations: A Review

Predicting first molar width using virtual models of dental arches

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