Literature DB >> 17229790

An index of orthodontic treatment complexity.

Stuart K Llewellyn1, Ahmad M Hamdan, William P Rock.   

Abstract

The aim of the present study was to develop an index specifically for the measurement of treatment complexity. Input factors were directly related to complexity, and the output was a score measuring the degree of treatment complexity. The sample comprised 120 sets of dental casts, 30 for each of the four main malocclusion classes. Sixteen orthodontists graded the study casts for perceived treatment complexity on a six-point scale and then listed, in order of importance, up to three occlusal features which they felt contributed to complexity from a pre-determined list. Multiple regression analysis was used to derive weightings for each occlusal feature, which would reflect the relevant treatment complexity. In order to obtain an overall treatment complexity score for each case, weightings were then multiplied by the corresponding occlusal feature scores and summed. The relationship between treatment complexity scores and perceived complexity was examined using Spearman's ranked correlation coefficient. The regression equation explained 49.5 per cent of the variance in treatment complexity of the whole sample. Regression analysis on the basis of malocclusion produced R (2) values of 90.7 per cent for Class I, 42.6 per cent for Class II division 1, 62.3 per cent for Class II division 2, and 79.5 per cent for Class III malocclusions. The index of orthodontic treatment complexity (IOTC) scores showed a moderate but highly significant association with the orthodontists' perceived complexity assessments (rho = 0.42, P = 0.000). The proposed IOTC shows sufficient promise to warrant further development.

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Year:  2007        PMID: 17229790     DOI: 10.1093/ejo/cjl080

Source DB:  PubMed          Journal:  Eur J Orthod        ISSN: 0141-5387            Impact factor:   3.075


  3 in total

1.  Difficulty score for the treatment of isolated gingival recessions with the coronally advanced flap: a preliminary reliability study.

Authors:  Martina Stefanini; Shayan Barootchi; Lorenzo Tavelli; Matteo Marzadori; Claudio Mazzotti; Ilham Mounssif; Matteo Sangiorgi; Hamoun Sabri; Hom-Lay Wang; Giovanni Zucchelli
Journal:  Clin Oral Investig       Date:  2022-10-12       Impact factor: 3.606

2.  Evaluation of Orthodontic Patients at State and Foundation Universities According to the ICON Index.

Authors:  Nilüfer Yılmaz Öğütlü; Ebrahim Almahdi; Gülşilay Sayar; Hülya Kılıçoğlu
Journal:  Turk J Orthod       Date:  2018-12-01

3.  Judging orthodontic treatment complexity.

Authors:  Maïté Clijmans; Aly Medhat; An De Geest; Johannes van Gastel; Annelies Kellens; Steffen Fieuws; Guy Willems
Journal:  Dental Press J Orthod       Date:  2016 Jan-Feb
  3 in total

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