Literature DB >> 23179683

Automated measurement of mandibular cortical width on dental panoramic radiographs.

Chisako Muramatsu1, Takuya Matsumoto, Tatsuro Hayashi, Takeshi Hara, Akitoshi Katsumata, Xiangrong Zhou, Yukihiro Iida, Masato Matsuoka, Takashi Wakisaka, Hiroshi Fujita.   

Abstract

PURPOSE: Mandibular cortical width (MCW) measured on dental panoramic radiographs (DPRs) was significantly correlated with bone mineral density. We developed a computer-aided diagnosis scheme that automatically measures MCW to assist dentists in describing a possible osteoporotic risk and suggesting further examinations.
METHODS: In our approach, potential mandible edges are detected by modified Canny edge detector. On the basis of the edge information, a contour model is selected from the reference data and is fitted to the test case by using the active contour model. The reference mental foramina positions of the model are employed as the MCW measurement locations. The MCW is measured on the basis of the grayscale profiles obtained along the lines perpendicular to the fitted mandible contour. One hundred DPRs, including 26 DPRs from osteoporotic cases, were used to evaluate our proposed scheme.
RESULTS: Experimental results showed that the average MCWs for osteoporotic and control cases were 2.2 and 3.9 mm, respectively. When a threshold of 2.7 mm was applied, the sensitivity and specificity for identifying osteoporotic patients were 88.5 and 97.3 %, respectively.
CONCLUSION: An automated MCW measurement technique is feasible using DPRs, and this method has a potential to identify asymptomatic osteoporotic patients.

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Mesh:

Year:  2012        PMID: 23179683     DOI: 10.1007/s11548-012-0800-8

Source DB:  PubMed          Journal:  Int J Comput Assist Radiol Surg        ISSN: 1861-6410            Impact factor:   2.924


  12 in total

1.  Diagnostic capabilities of fractal dimension and mandibular cortical width to identify men and women with decreased bone mineral density.

Authors:  A C Alman; L R Johnson; D C Calverley; G K Grunwald; D C Lezotte; J E Hokanson
Journal:  Osteoporos Int       Date:  2011-06-02       Impact factor: 4.507

2.  Receiver operating characteristic rating analysis. Generalization to the population of readers and patients with the jackknife method.

Authors:  D D Dorfman; K S Berbaum; C E Metz
Journal:  Invest Radiol       Date:  1992-09       Impact factor: 6.016

3.  Accuracy in osteoporosis diagnosis of a combination of mandibular cortical width measurement on dental panoramic radiographs and a clinical risk index (OSIRIS): the OSTEODENT project.

Authors:  K Karayianni; K Horner; A Mitsea; L Berkas; M Mastoris; R Jacobs; C Lindh; P F van der Stelt; E Harrison; J E Adams; S Pavitt; H Devlin
Journal:  Bone       Date:  2006-09-18       Impact factor: 4.398

4.  Why Bland-Altman plots should use X, not (Y+X)/2 when X is a reference method.

Authors:  Jan S Krouwer
Journal:  Stat Med       Date:  2008-02-28       Impact factor: 2.373

5.  Computer-aided system for measuring the mandibular cortical width on dental panoramic radiographs in identifying postmenopausal women with low bone mineral density.

Authors:  A Z Arifin; A Asano; A Taguchi; T Nakamoto; M Ohtsuka; M Tsuda; Y Kudo; K Tanimoto
Journal:  Osteoporos Int       Date:  2006-03-22       Impact factor: 4.507

6.  A computational approach to edge detection.

Authors:  J Canny
Journal:  IEEE Trans Pattern Anal Mach Intell       Date:  1986-06       Impact factor: 6.226

7.  Computer determination of the constituent structure of biological images.

Authors:  R A Kirsch
Journal:  Comput Biomed Res       Date:  1971-06

8.  Changes in mandibular cortical width measurements with age in men and women.

Authors:  M Roberts; J Yuan; J Graham; R Jacobs; H Devlin
Journal:  Osteoporos Int       Date:  2010-10-01       Impact factor: 4.507

Review 9.  Triage screening for osteoporosis in dental clinics using panoramic radiographs.

Authors:  A Taguchi
Journal:  Oral Dis       Date:  2009-08-07       Impact factor: 3.511

10.  Diagnosis of osteoporosis from dental panoramic radiographs using the support vector machine method in a computer-aided system.

Authors:  M S Kavitha; Akira Asano; Akira Taguchi; Takio Kurita; Mitsuhiro Sanada
Journal:  BMC Med Imaging       Date:  2012-01-16       Impact factor: 1.930

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  14 in total

Review 1.  Detecting low bone mineral density from dental radiographs: a mini-review.

Authors:  James Graham
Journal:  Clin Cases Miner Bone Metab       Date:  2015-10-26

Review 2.  Panoramic measures for oral bone mass in detecting osteoporosis: a systematic review and meta-analysis.

Authors:  E Calciolari; N Donos; J C Park; A Petrie; N Mardas
Journal:  J Dent Res       Date:  2014-11-03       Impact factor: 6.116

3.  A computer aided diagnosis system for measurement of mandibular cortical thickness on dental panoramic radiographs in prediction of women with low bone mineral density.

Authors:  D Kathirvelu; P Vinupritha; V Kalpana
Journal:  J Med Syst       Date:  2019-04-22       Impact factor: 4.460

4.  Study of edge detection task in dental panoramic radiographs.

Authors:  L Gráfová; M Kasparová; S Kakawand; A Procházka; T Dostálová
Journal:  Dentomaxillofac Radiol       Date:  2013-05-02       Impact factor: 2.419

5.  Quantitative assessment of mandibular cortical erosion on dental panoramic radiographs for screening osteoporosis.

Authors:  Chisako Muramatsu; Kazuki Horiba; Tatsuro Hayashi; Tatsumasa Fukui; Takeshi Hara; Akitoshi Katsumata; Hiroshi Fujita
Journal:  Int J Comput Assist Radiol Surg       Date:  2016-06-11       Impact factor: 2.924

6.  Panoramic radiographic features that predict the development of bisphosphonate-related osteonecrosis of the jaw.

Authors:  Ryota Kubo; Yoshiko Ariji; Tohru Taniguchi; Michihito Nozawa; Akitoshi Katsumata; Eiichiro Ariji
Journal:  Oral Radiol       Date:  2017-06-12       Impact factor: 1.852

7.  Improvement of region of interest extraction and scanning method of computer-aided diagnosis system for osteoporosis using panoramic radiographs.

Authors:  Takashi Nakamoto; Akira Taguchi; Rinus Gerardus Verdonschot; Naoya Kakimoto
Journal:  Oral Radiol       Date:  2018-04-25       Impact factor: 1.852

8.  The use and performance of artificial intelligence applications in dental and maxillofacial radiology: A systematic review.

Authors:  Kuofeng Hung; Carla Montalvao; Ray Tanaka; Taisuke Kawai; Michael M Bornstein
Journal:  Dentomaxillofac Radiol       Date:  2019-08-14       Impact factor: 2.419

9.  Evaluation of an artificial intelligence system for detecting vertical root fracture on panoramic radiography.

Authors:  Motoki Fukuda; Kyoko Inamoto; Naoki Shibata; Yoshiko Ariji; Yudai Yanashita; Shota Kutsuna; Kazuhiko Nakata; Akitoshi Katsumata; Hiroshi Fujita; Eiichiro Ariji
Journal:  Oral Radiol       Date:  2019-09-18       Impact factor: 1.852

10.  Current applications and development of artificial intelligence for digital dental radiography.

Authors:  Ramadhan Hardani Putra; Chiaki Doi; Nobuhiro Yoda; Eha Renwi Astuti; Keiichi Sasaki
Journal:  Dentomaxillofac Radiol       Date:  2021-07-08       Impact factor: 2.419

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