Automated measurement of mandibular cortical width on dental panoramic radiographs

Muramatsu, Chisako; Matsumoto, Takuya; Hayashi, Tetsutaro; Hara, Takeshi; Katsumata, Akitoshi; Zhou, Xiangrong; Iida, Yoshio; Matsuoka, Masao; Wakisaka, Takashi; Fujita, Hiroshi

doi:10.1007/s11548-012-0800-8

Cited by 47 publications

(32 citation statements)

References 15 publications

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“…The levels of sensitivity and specificity associated with this index were heterogeneous and had a reciprocal relationship that varied in relation to the threshold chosen. A few studies reported a sensitivity >95% (Devlin et al 2007;Ezoddini Ardakani et al 2013;Kavitha et al 2013;Muramatsu et al 2013), while in other studies, this parameter did not reach 20% (Horner et al 2002;Marandi et al 2010;Mansour et al 2013). The same variability applied to the specificity levels (Appendix Table 4).…”

Section: Mandibular Cortical Widthmentioning

confidence: 89%

Panoramic Measures for Oral Bone Mass in Detecting Osteoporosis

et al. 2014

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Section: Mandibular Cortical Widthmentioning

confidence: 89%

Panoramic Measures for Oral Bone Mass in Detecting Osteoporosis

et al. 2014

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“…No significant difference was found between the OSTEODENT and FRAX indices when used as tests for therapeutic intervention. More recently Muramatsu et al (40) have developed an automated measurement system using a database of 100 DPRs from patients and volunteers, of whom 26 were diagnosed with osteoporosis. The group included both males and females.…”

Section: Resultsmentioning

confidence: 99%

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

Graham

2015

ccmbm

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SummaryOver a number of years researchers have reported associations between osteoporosis or low bone mineral density and signs that can be detected on dental radiographs, particularly in the width of the inferior mandibular cortex and the texture of the trabecular bone. As patients visit the dentist more regularly than they visit their doctor, there is the possibility that such signs could be used as a means of identifying individuals at risk of developing osteoporosis or suffering from consequent fracture. This paper reviews the historical background behind this research and the current status, including recent developments in automation of measurement using computer image analysis.

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“…Finally, for classification tasks, we observed the use of classifiers such as k-nearest neighbor (Filipczuk et al, 2013;Gedik and Atasoy, 2013;Gopinath and Shanthi, 2013;He et al, 2011;Muramatsu et al, 2013;Nava et al, 2014;Odeh et al, 2006;Osman et al, 2009;Raja et al, 2010;Verikas et al, 2006), artificial neural networks (Barhoumi et al, 2007;Geetha et al, 2008;Jasmine et al, 2009;López et al, 2008;Raja et al, 2007;Streba et al, 2012;Verma, 2009;Wu et al, 2006), Bayesian classifiers (Ampeliotis et al, 2007;Bhooshan et al, 2011;Garnavi et al, 2012;Gruszauskas et al, 2008Gruszauskas et al, , 2009Retter et al, 2013;Tolouee et al, 2011) techniques based on linear discriminant analysis (Lee et al, 2009;Muramatsu et al, 2013;Tanner et al, 2006) and logistic regression models (Shen et al, 2007;Tanner et al, 2006).…”

Section: Tasks For Computer-aided Diagnosis Systemsmentioning

confidence: 99%

“…(García-Orellana et al, 2008;Haindl et al, 2007;Muramatsu et al, 2013;Ramos et al, 2012;Song et al, 2010;Suganthi and Madheswaran, 2010;Verma, 2009;Wang et al, 2009;Zheng et al, 2008): maintained by the University of South Florida, this database serves as a resource for research in mammographic imaging analysis (Heath et al, 2001). The database contains 2,620 cases divided into 43 volumes, each composed of normal cases, cases containing suspicious structures proved benign or proven cases of cancer.…”

Section: Public Databases Of Medical Imagesmentioning

confidence: 99%

A systematic review on the evaluation and characteristics of computer-aided diagnosis systems

Gonçalves

Delamaro

Nunes

2014

Rev. Bras. Eng. Bioméd.

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Introduction: One of the challenges in developing Computer-Aided Diagnosis (CAD) systems is their accurate and comprehensive assessment. This paper presents the conduction and results of a systematic review (SR) that aims to verify the state of the art regarding the assessment of CAD systems. This survey provides a general analysis of the current status of the design, development and assessment of such systems and includes discussions on the most used metrics and approaches that could be utilized to obtain more objective evaluation methods. Methods: The SR was conducted using the scientifi c databases, ACM Digital Library, IEEE Xplore Digital Library, ScienceDirect and Web of Science. Inclusion and exclusion criteria were defi ned and applied to each retrieved work to select those of interest. From 156 studies retrieved, 100 studies were included. Results: There is a number of abnormalities that have been used for the development of CAD systems. Images from computed tomographies and mammographies are the most encountered types of medical images. Additionally, a number of studies used public databases for CAD evaluations. The main evaluation metrics and methods applied to CAD systems include sensitivity, accuracy, specifi city and receiver operating characteristic (ROC) analyses. In the assessed CAD systems that used the segmentation method, 30.0% applied the overlap measure. Discussion: There remain several topics to explore for the assessment of CAD schemes. While some evaluation metrics are traditionally used, they require a prior knowledge of case characteristics to test CAD systems. We were not able to identify articles that use software testing to evaluate CAD systems. Thus, we realize that there is a gap between CAD assessments and traditional practices of software engineering. However, the scope of this research is limited to scientifi c and academic works and excludes commercial interests. Finally, we discuss potential research studies within this scope to create a more objective and effi cient evaluation of CAD systems.

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Automated measurement of mandibular cortical width on dental panoramic radiographs

Abstract: An automated MCW measurement technique is feasible using DPRs, and this method has a potential to identify asymptomatic osteoporotic patients.

Cited by 47 publications

References 15 publications

Panoramic Measures for Oral Bone Mass in Detecting Osteoporosis

Panoramic Measures for Oral Bone Mass in Detecting Osteoporosis

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

A systematic review on the evaluation and characteristics of computer-aided diagnosis systems

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