Evidence map›Paper›PMID 27289239›Full record

ArticleInternational journal of computer assisted radiology and surgery2016

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

Chisako Muramatsu, Kazuki Horiba, Tatsuro Hayashi, Tatsumasa Fukui, Takeshi Hara, Akitoshi Katsumata, Hiroshi Fujita

Abstract readEvaluation Study
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In one paragraph

Article in International journal of computer assisted radiology and surgery, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 1 pooled it
5.7field-weighted citation impact, top 4% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

21 citing papers in PubMed, 1 synthesis or guideline pooled it, 42 citations in OpenAlex.

  1. Pooled it
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  8. Automated description of the mandible shape by deep learning.International journal of computer assisted radiology and surgery · 2021
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  9. Review
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  13. The Innovative and Sustainable Use of Dental Panoramic Radiographs for the Detection of Osteoporosis.International journal of environmental research and public health · 2020
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  15. Early diagnosis of jaw osteomyelitis by easy digitalized panoramic analysis.Maxillofacial plastic and reconstructive surgery · 2019
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 3 institutions in 1 country.

Chisako MuramatsuDepartment of Intelligent Image Information, Graduate School of Medicine, Gifu University, 1-1 Yanagido, Gifu, Gifu, 501-1194, Japan. chisa@fjt.info.gifu-u.ac.jp.
Kazuki HoribaDepartment of Intelligent Image Information, Graduate School of Medicine, Gifu University, 1-1 Yanagido, Gifu, Gifu, 501-1194, Japan.
Tatsuro HayashiMedia Co., Ltd, 3-26-6 Hongo, Bunkyo-ku, Tokyo, 113-0033, Japan.
Tatsumasa FukuiDepartment of Oral Radiology, Asahi University School of Dentistry, 1851 Hozumi, Mizuho, Gifu, 501-0296, Japan.
Takeshi HaraDepartment of Intelligent Image Information, Graduate School of Medicine, Gifu University, 1-1 Yanagido, Gifu, Gifu, 501-1194, Japan.
Akitoshi KatsumataDepartment of Oral Radiology, Asahi University School of Dentistry, 1851 Hozumi, Mizuho, Gifu, 501-0296, Japan.
Hiroshi FujitaDepartment of Intelligent Image Information, Graduate School of Medicine, Gifu University, 1-1 Yanagido, Gifu, Gifu, 501-1194, Japan.
Gifu University · JPAsahi University · JPMizuho (Japan) · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeStudies reported that the mandibular cortical width (MCW) measured on dental panoramic radiographs (DPRs) was significantly correlated with bone mineral density. However, MCW is not a perfect index by itself, and studies suggest the added utility of mandibular cortical index (MCI). In this study, we propose a method for computerized estimation of mandibular cortical degree (MCD), a new continuous measure of MCI, for osteoporotic risk assessment.

methodsThe mandibular contour was automatically segmented using an active contour model. The regions of interest near mental foramen were extracted for MCW and MCD determination. The MCW was measured on the basis of residue-line detection results and pixel profiles. Image features including texture features based on gray-level co-occurrence matrices were determined. The MCD were estimated using support vector regression (SVR). The SVR was trained using previously collected 99 DPRs, including 26 osteoporotic cases, by a computed radiography system. The proposed scheme was tested using 99 DPRs obtained by a photon-counting system with data of bone mineral density at distal forearm. The number of osteoporotic, osteopenic, and control cases were 12, 18, and 69 cases, respectively. The subjective MCD by a dental radiologist was employed for training and evaluation.

resultsThe correlation coefficients with the subjective MCD were -0.549 for MCW alone, 0.609 for the MCD by the features without MCW, and 0.617 for the MCD by the features and MCW. The correlation coefficients with the BMD were 0.619, -0.608, and -0.670, respectively. The areas under the receiver operating characteristic curves for detecting osteoporotic cases were 0.830, 0.884, and 0.901, respectively, whereas those for detecting high-risk cases were 0.835, 0.833, and 0.880, respectively.

conclusionsIn conclusion, our scheme may have a potential to identify asymptomatic osteoporotic and osteopenic patients through dental examinations.

Indexed as

Absorptiometry, PhotonBone DensityFemaleHumansMandibleMiddle AgedOsteoporosis, PostmenopausalRadiography, PanoramicRisk AssessmentROC CurveDental panoramic radiographsMandibular cortex erosionMandibular cortical widthOsteoporosisTextural features

Identifiers

PMID27289239
OpenAlexW2409557952

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.