2011
DOI: 10.1111/j.1601-6343.2011.01523.x
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A network approach to orthodontic diagnosis

Abstract: The topology of the dentofacial system obtained by network analysis could allow orthodontists to visually evaluate and anticipate the co-occurrence of auxological anomalies during individual craniofacial growth and possibly localize reactive sites for a therapeutic approach to malocclusion.

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Cited by 30 publications
(51 citation statements)
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“…For instance, previous studies have found significant correlations between masticatory muscles and lip activity with aspects of craniofacial morphology present in patients with different malocclusions 44,63 . Moreover, results from a recent study applying complex networks methods to Class II and Class III malocclusion samples 64 suggested a much more complex etiologic model for the Class II than the Class III malocclusion, indicating that aspects such as muscle tone, tongue posture and speech problems appeared to be key starting points for the treatment of Class II patients. Such studies could take advantage of well characterized dento-skeletal phenotypes to reduce heterogeneity and increase the power of their modeling.…”
Section: Discussionmentioning
confidence: 99%
“…For instance, previous studies have found significant correlations between masticatory muscles and lip activity with aspects of craniofacial morphology present in patients with different malocclusions 44,63 . Moreover, results from a recent study applying complex networks methods to Class II and Class III malocclusion samples 64 suggested a much more complex etiologic model for the Class II than the Class III malocclusion, indicating that aspects such as muscle tone, tongue posture and speech problems appeared to be key starting points for the treatment of Class II patients. Such studies could take advantage of well characterized dento-skeletal phenotypes to reduce heterogeneity and increase the power of their modeling.…”
Section: Discussionmentioning
confidence: 99%
“…Another relatively recent study (Auconi et al, 2011) has also looked at this issue of integration in dental malocclusion, albeit with a different methodology. Using network analysis, which shares some similarity to 2B-PLS, Auconi and colleagues showed that the network structure of Class III malocclusion patients are, in fact, more integrated than Class II patients.…”
Section: Discussionmentioning
confidence: 99%
“…И с множеством достоинств отметили недоста-ток конусно-лучевой компьютерной томографии − уз-кое окно мягких тканей [11]. Имеются исследователь-ские работы в которых сравнивался уровень артефак-тов от металлических предметов при использовании мультиспиралной компьютерной томографии и ко-нусно-лучевой.…”
Section: журнал включен в перечень рецензируемых научных изданий вакunclassified