Literature DB >> 21740473

Reliability of panoramic radiographs for identifying supernumerary teeth in children.

Robert P Anthonappa1, Nigel M King, A Bakr M Rabie, Sreekanth K Mallineni.   

Abstract

OBJECTIVES. To evaluate the reliability of panoramic radiographs (PRs) for identifying supernumerary teeth (ST) and to determine whether the level of dental training of the observer influenced the identification of ST. METHODS. Seventy-five PRs were randomly selected from the patient records and 18 examiners independently rated 25 radiographs each, for specific risk factors as well as for a measure of adequacy. Subsequently, the results were paired with those of the other examiners who assessed the same set of PRs. Descriptive statistics were computed using Fisher's exact test, and kappa statistics were used to assess the inter- and intra-observer reliability. RESULTS. Four hundred and fifty PRs were available for analysis. The overall sensitivity and specificity figures were 50% and 98.3%, whereas the positive and negative predictive values were 90.6% and 83.6%, respectively. The sensitivity figures for Junior House Dental Officers and Postgraduate Paediatric Dental Trainees were 39.2% and 60.8%, whereas the specificity figures were 99.4% and 95% with slight inter-examiner and moderate intra-examiner reliability. CONCLUSIONS. Panoramic radiographs are unreliable for identifying ST, and higher level of dental training is essential for identifying ST.
© 2011 The Authors. International Journal of Paediatric Dentistry © 2011 BSPD, IAPD and Blackwell Publishing Ltd.

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Year:  2011        PMID: 21740473     DOI: 10.1111/j.1365-263X.2011.01155.x

Source DB:  PubMed          Journal:  Int J Paediatr Dent        ISSN: 0960-7439            Impact factor:   3.455


  8 in total

1.  Reliability of horizontal and vertical tube shift techniques in the localisation of supernumerary teeth.

Authors:  S K Mallineni; R P Anthonappa; N M King
Journal:  Eur Arch Paediatr Dent       Date:  2016-11-15

2.  Deep learning-based identification of mesiodens using automatic maxillary anterior region estimation in panoramic radiography of children.

Authors:  Jihoon Kim; Jae Joon Hwang; Taesung Jeong; Bong-Hae Cho; Jonghyun Shin
Journal:  Dentomaxillofac Radiol       Date:  2022-07-13       Impact factor: 3.525

3.  Dental development in children with supernumerary teeth in the anterior region of maxilla.

Authors:  Sreekanth K Mallineni; Jayakumar Jayaraman; Hai Ming Wong; Nigel M King
Journal:  Clin Oral Investig       Date:  2018-10-29       Impact factor: 3.573

4.  A Performance Comparison between Automated Deep Learning and Dental Professionals in Classification of Dental Implant Systems from Dental Imaging: A Multi-Center Study.

Authors:  Jae-Hong Lee; Young-Taek Kim; Jong-Bin Lee; Seong-Nyum Jeong
Journal:  Diagnostics (Basel)       Date:  2020-11-07

5.  Feasibility of oral health evaluation by intraoral digital photography: a pilot study.

Authors:  ShuLing Guo; Yong Chen; Sreekanth Kumar Mallineni; ShuYing Huang; BaiWang Liu; ShuYi Zhang; Chang Lu
Journal:  J Int Med Res       Date:  2021-02       Impact factor: 1.671

6.  Automatic detection of mesiodens on panoramic radiographs using artificial intelligence.

Authors:  Eun-Gyu Ha; Kug Jin Jeon; Young Hyun Kim; Jae-Young Kim; Sang-Sun Han
Journal:  Sci Rep       Date:  2021-11-29       Impact factor: 4.379

7.  Impacted Primary Mandibular Second Molar Associated with Late-Formed Second Premolar: A Rare Entity of Reverse Dentition.

Authors:  Manikya Kumar Nanduri; Tripura Pavitra Javangula; Sreekanth Kumar Mallineni; Srinivas Namineni
Journal:  Contemp Clin Dent       Date:  2018-06

8.  Genetic Pattern, Orthodontic and Surgical Management of Multiple Supplementary Impacted Teeth in a Rare, Cleidocranial Dysplasia Patient: A Case Report.

Authors:  Alessio Danilo Inchingolo; Assunta Patano; Giovanni Coloccia; Sabino Ceci; Angelo Michele Inchingolo; Grazia Marinelli; Giuseppina Malcangi; Valentina Montenegro; Claudia Laudadio; Giulia Palmieri; Ioana Roxana Bordea; Emanuela Ponzi; Paola Orsini; Romina Ficarella; Antonio Scarano; Felice Lorusso; Gianna Dipalma; Massimo Corsalini; Mattia Gentile; Daniela Di Venere; Francesco Inchingolo
Journal:  Medicina (Kaunas)       Date:  2021-12-10       Impact factor: 2.430

  8 in total

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