Evidence map›Paper›PMID 36122586›Full record

ArticleEuropean journal of dentistry2023

Computer-Aided System of the Mandibular Cortical Bone Porosity Assessment on Digital Panoramic Radiographs.

Eha R Astuti, Agus Z Arifin, Rarasmaya Indraswari, Ramadhan H Putra, Nastiti F Ramadhani, Berty Pramatika

Open access · hybridAbstract read
In one paragraph

Article in European journal of dentistry, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.8field-weighted citation impact, top 29% 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

3 citing papers in PubMed, 4 citations in OpenAlex.

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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

6 authors at 3 institutions in 1 country.

Eha R AstutiDepartment of Dentomaxillofacial Radiology, Faculty of Dental Medicine, Airlangga University, Surabaya, Indonesia.
Agus Z ArifinDepartment of Informatics, Faculty of Intelligent Electrical and Information Technology, Institut Teknologi Sepuluh Nopember, Surabaya, Indonesia.ORCID 0000-0003-0238-8355
Rarasmaya IndraswariDepartment of Information Systems, Faculty of Intelligent Electrical and Information Technology, Institut Teknologi Sepuluh Nopember, Surabaya, Indonesia.ORCID 0000-0002-6935-6393
Ramadhan H PutraDepartment of Dentomaxillofacial Radiology, Faculty of Dental Medicine, Airlangga University, Surabaya, Indonesia.
Nastiti F RamadhaniDepartment of Dentomaxillofacial Radiology, Faculty of Dental Medicine, Airlangga University, Surabaya, Indonesia.
Berty PramatikaUniversitas Brawijaya Hospital, Brawijaya University, Malang, Indonesia.
Airlangga University · IDSepuluh Nopember Institute of Technology · IDUniversity of Brawijaya · ID

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThe loss of bone mineral density (BMD) in various sites of the body, including the mandible, is the main sign of osteoporosis. Thus, the computer-aided diagnosis (CAD) system was developed for bone density assessment and patients were classified into normal, osteopenia, and osteoporosis groups using a digital panoramic radiograph. MATERIAL AND

methodsData of dental panoramic radiographs and corresponding BMD assessments from 123 postmenopausal women were collected. For the proposed CAD system test, regions of interest (ROI) that were located below the left and right mental foramen on dental panoramic radiographs were determined. The width and texture of the mandibular cortical bone in each ROI were used to classify the data into normal, osteopenia, and osteoporosis classes. The width of the mandibular cortical was measured using the polynomial fitting method. The texture feature of the cortical bone is obtained by calculating the average value of the grayscale intensity of cortical bone. The classification result was obtained by using a multiclass support vector machine.

resultsThe experimental results using 10-fold cross-validation showed that the proposed system achieved an average accuracy of 86.50% for osteoporosis classification on dental panoramic radiographs. The average misclassification error and relative foreground area error of the segmentation process were 5.21 and 12.98%, respectively. From the analysis of the cortical width measurement process, highest average mandibular cortical width (MCW) was found in the normal patient category compared with the other classes.

conclusionThis research showed that the proposed computer-aided system can be used for osteoporosis and osteopenia assessment by measuring the MCW and texture on dental panoramic radiographs with the average system accuracy of 89.52%.

Identifiers

PMID36122586
PMCPMC10329549
OpenAlexW4296345219

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LicenceCC BY
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Registered trials

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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.