Osteoporosis Prescreening and Bone Mineral Density Prediction using Dental Panoramic Radiographs

Author(s):  
Yasha Singh ◽  
Vivek Atulkar ◽  
Jiaxiang Ren ◽  
Jie Yang ◽  
Heng Fan ◽  
...  
2016 ◽  
Vol 21 (1) ◽  
pp. 151-157 ◽  
Author(s):  
Olja Grgić ◽  
Branka Kovačev-Zavišić ◽  
Tanja Veljović ◽  
Jovanka Novaković-Paro ◽  
Tatjana Maravić ◽  
...  

2020 ◽  
Vol 24 (1) ◽  
Author(s):  
Aline Nagai ◽  
Lucas Morita ◽  
Luciana Munhoz ◽  
Emiko Arita

Objective: The objective of this study was to evaluate mandibular osteoporotic alterations in patients with HIV infection in comparison to non-HIV-infected patients using panoramic radiographs. Material and Methods: 26 HIV-infected patients and 142 non-HIV-infected patients (control group) were included in this study. Panoramic radiographs of the participants were assessed considering mandibular cortical index (MCI). Non-parametric comparisons between groups were performed, using Mann-Whitney test, at a level significance level of p= 0.05. Results: HIV-infected patients presented lower bone mineral density (BMD) at mandible, assessed by MCI in panoramic radiographs when compared to non-HIV-infected patients. The medication intake of HIV-infected patients was highly heterogeneous and could not be associated to the low BMD presented in the mandibular cortex. Conclusions:  HIV-infected patients may present lower mandibular BMD than non-HIV-infected patients.   Keywords Panoramic radiograph; osteoporosis; bone mineral density; HIV.


2010 ◽  
Vol 43 (3) ◽  
pp. 107 ◽  
Author(s):  
Agus Zainal Arifin ◽  
Anny Yuniarti ◽  
Lutfiani Ratna Dewi ◽  
Akira Asano ◽  
Akira Taguchi ◽  
...  

Background: Mandibular bone on panoramic radiographs has been proven to be useful for identifying postmenopausal women with low skeletal bone mineral density. One of the important parts of mandibular bone is trabecular bone. Trabecular bone architecture is one of the factors that governs bone strength and may be categorized as a contributor to bone quality. Purpose: The purposes of this study were to develop a computer-aided system for measuring trabecular bone line strength on panoramic radiographs in identifying postmenopausal women with osteoporosis and to clarify the diagnostic efficacy of the system. Methods: Reduction and expansion of trabecular bone sample images using a two level Gaussian pyramid for removing noises and small segments were first introduced. Then, line strength at each pixel was calculated based on its existence on the trabecular bone with emphasizes line segment which has similar orientation with the root of tooth. The density was measured with respect to line strength of segment structure which has similar orientation with the root of tooth, either on the left and the right in the mandibular bone. Number of pixels in the line segment area was compared with a threshold value to determine whether normal or osteoporosis. Results: From experiment on 100 data, the accuracy of 88%, sensitivity of 92%, and specificity of 86.7% were achieved. Conclusion: The computer-aided system of trabecular bone analysis may be useful for detecting osteoporosis using panoramic radiographs.Latar belakang: Tulang mandibula pada panoramik radiografi telah banyak diteliti dan terbukti mampu digunakan untuk mengidentifikasi wanita pasca menopause dengan menggunakan bone mineral density rendah. Salah satu bagian tulang mandibula yang penting adalah tulang trabekula. Arsitektur tulang trabekula merupakan salah satu dari faktor-faktor yang mempengaruhi kekuatan tulang dan dapat digolongkan sebagai kontributor bagi kualitas tulang. Tujuan: Penelitian ini bertujuan untuk membangun sebuah sistem dengan bantuan komputer untuk mengukur kekuatan garis pada tulang trabekula dan menggunakannya untuk mendeteksi osteoporosis pada wanita postmenopause. Metode: Dilakukan sampling pada sebagian tulang mandibular yang menghasilkan sebuah sampel citra. Sampel citra ini selanjutnya diperbaiki dari derau (noise) dengan menggunakan piramida Gaussian dua level. Kekuatan garis pada tiap piksel dihitung berdasarkan orientasi segmen garis tulang trabekula yang sejajar dengan akar gigi. Setelah dilakukan binerisasi, luasan segmen yang dihasilkan dihitung dan dibandingkan dengan sebuah nilai ambang. Bila luasan melebihi nilai threshold maka dikategorikan sebagai normal. Sebaliknya bila luasan dibawah nilai threshold, dikategorikan sebagai osteoporosis. Hasil: Berdasarkan eksperimen terhadap 100 data, sistem mampu mencapai akurasi identifikasi sebesar 88%, sensitivitas 92%, dan spesifisitas 86,7%. Kesimpulan: Sistem analisa trabecular bone dengan bantuan komputer ini dapat digunakan oleh para dokter gigi untuk mendeteksi osteoporosis menggunakan panoramik radiografi.


2020 ◽  
Vol 31 (3) ◽  
pp. 457
Author(s):  
Luciana Munhoz ◽  
IsabelaGoulart Gil Choi ◽  
DanielKey Miura ◽  
PlautoChristopher Aranha Watanabe ◽  
EmikoSaito Arita

2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Chen-I Hsieh ◽  
Kang Zheng ◽  
Chihung Lin ◽  
Ling Mei ◽  
Le Lu ◽  
...  

AbstractDual-energy X-ray absorptiometry (DXA) is underutilized to measure bone mineral density (BMD) and evaluate fracture risk. We present an automated tool to identify fractures, predict BMD, and evaluate fracture risk using plain radiographs. The tool performance is evaluated on 5164 and 18175 patients with pelvis/lumbar spine radiographs and Hologic DXA. The model is well calibrated with minimal bias in the hip (slope = 0.982, calibration-in-the-large = −0.003) and the lumbar spine BMD (slope = 0.978, calibration-in-the-large = 0.003). The area under the precision-recall curve and accuracy are 0.89 and 91.7% for hip osteoporosis, 0.89 and 86.2% for spine osteoporosis, 0.83 and 95.0% for high 10-year major fracture risk, and 0.96 and 90.0% for high hip fracture risk. The tool classifies 5206 (84.8%) patients with 95% positive or negative predictive value for osteoporosis, compared to 3008 DXA conducted at the same study period. This automated tool may help identify high-risk patients for osteoporosis.


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