World Health Organization. The top 10 causes of death. 2021. https://www.who.int/news-room/fact-sheets/detail/the-top-10-causes-of-death. Accessed 13 Dec 2024
Boswell K. Stroke: ıschemic and hemorrhagic. Emerg Dep Crit Care. 2020;29:359–72.
Hunt JL, Fairman R, Mitchell ME, et al. Bone formation in carotid plaques: a clinicopathological study. Stroke. 2002;33(5):1214–9.
Spanos K, Petrocheilou G, Karathanos C, et al. Carotid bifurcation geometry and atherosclerosis. Angiology. 2017;68(9):757–64.
Levy C, Mandel L. Calcified carotid artery imaged by computed tomography. J Oral Maxillofac Surg. 2010;68(1):218–20.
Garoff M, Ahlqvist J, LevringJäghagen E, Johansson E, Wester P. Carotid calcification in panoramic radiographs: radiographic appearance and the degree of carotid stenosis. Dentomaxillofac Radiol. 2016;45(6):20160147.
Article PubMed PubMed Central Google Scholar
Maia PRL, Tomaz AFG, Maia EFT, Lima KC, Oliveira PTD. Prevalence of soft tissue calcifications in panoramic radiographs of the maxillofacial region of older adults. Gerodontology. 2022;39(3):266–72.
Kim JH, Aoki EM, Cortes ARG, Abdala-Júnior R, Asaumi J, Arita ES. Comparison of the diagnostic performance of panoramic and occlusal radiographs in detecting submandibular sialoliths. Imaging Sci Dent. 2016;46(2):87–92.
Article PubMed PubMed Central Google Scholar
Friedlander AH, Lande A. Panoramic radiographic identification of carotid arterial plaques. Oral Surg Oral Med Oral Pathol. 1981;52(1):102–4.
Article CAS PubMed Google Scholar
Janiszewska-Olszowska J, Jakubowska A, Gieruszczak E, et al. Carotid artery calcifications on panoramic radiographs. Int J Environ Res Public Health. 2022;19(21):14056.
Article PubMed PubMed Central Google Scholar
Ertas ET, Sisman Y. Detection of incidental carotid artery calcifications during dental examinations: panoramic radiography as an important aid in dentistry. Oral Surg Oral Med Oral Pathol Oral Radiol Endod. 2011;112(4):e11–7.
Yoo SW, Yang S, Kim JE, et al. CACSnet for automatic robust classification and segmentation of carotid artery calcification on panoramic radiographs using a cascaded deep learning network. Sci Rep. 2024;14(1):13894.
Article CAS PubMed PubMed Central Google Scholar
Vinayahalingam S, van Nistelrooij N, Xi T, et al. Detection of carotid plaques on panoramic radiographs using deep learning. J Dent. 2024;151:105432.
Ghaffari M, Zhu Y, Shrestha A. A review of advancements of artificial intelligence in dentistry. Dent Rev. 2024. https://doi.org/10.1016/j.dentre.2024.100081.
Ragab MG, Abdulkader SJ, Muneer A, et al. A comprehensive systematic review of YOLO for medical object detection (2018 to 2023). IEEE Access. 2018. https://doi.org/10.1109/ACCESS.2024.3386826.
Jocher G, Qiu J. Ultralytics YOLO11. GitHub. 2024.
Atalay Y, Asutay F, Agacayak KS, et al. Evaluation of calcified carotid atheroma on panoramic radiographs and Doppler ultrasonography in an older population. Clin Interv Aging. 2015;10:1121–9.
Article PubMed PubMed Central Google Scholar
Bayer S, Helfgen EH, Bös C, et al. Prevalence of findings compatible with carotid artery calcifications on dental panoramic radiographs. Clin Oral Investig. 2011;15:563–9.
Friedlander AH, Manesh F, Wasterlain CG. Prevalence of detectable carotid artery calcifications on panoramic radiographs of recent stroke victims. Oral Surg Oral Med Oral Pathol. 1994;77(6):669–73.
Article CAS PubMed Google Scholar
Santos J, Soares G, Alves A, et al. Prevalence of carotid artery calcifications among 2,500 digital panoramic radiographs of an adult Brazilian population. Med Oral Patol Oral Cir Bucal. 2018;23:E256–61.
PubMed PubMed Central Google Scholar
Friedlander AH, El Saden SM, Hazboun RC, et al. Detection of carotid artery calcification on the panoramic images of post-menopausal females is significantly associated with severe abdominal aortic calcification: a risk indicator of future adverse vascular events. Dentomaxillofac Radiol. 2015;44(7):20150094.
Article CAS PubMed PubMed Central Google Scholar
Tamura T, Inui M, Nakase M, et al. Clinicostatistical study of carotid calcification on panoramic radiographs. Oral Dis. 2005;11(5):314–7. https://doi.org/10.1111/j.1601-0825.2005.01125.x.
Article CAS PubMed Google Scholar
Agacayak K, Guler R, Karatas P. Relation between the incidence of carotid artery calcification and systemic diseases. Clin Interv Aging. 2020;15:821–6. https://doi.org/10.2147/CIA.S256588.
Article PubMed PubMed Central Google Scholar
Alajaji SA, Amarin R, Masri R, et al. Detection of extracranial and intracranial calcified carotid artery atheromas in cone beam computed tomography using a deep learning convolutional neural network image segmentation approach. Oral Surg Oral Med Oral Pathol Oral Radiol. 2024;138(1):162–72.
Ajami M, Tripathi P, Ling H, Mahdian M. Automated detection of cervical carotid artery calcifications in cone beam computed tomographic images using deep convolutional neural networks. Diagnostics (Basel). 2022;12(10):2537.
Nelson J, Vaddi A, Tadinada A. Can convolutional neural networks identify external carotid artery calcifications? Oral Surg Oral Med Oral Pathol Oral Radiol. 2024;138(1):142–8.
Kats L, Vered M, Zlotogorski-Hurvitz A, Harpaz I. Atherosclerotic carotid plaques on panoramic imaging: an automatic detection using deep learning with small dataset. arXiv preprint. Published 2018. arXiv:1808.08093.
Song Y, Jeong H, Kim C, et al. Comparison of detection performance of soft tissue calcifications using artificial intelligence in panoramic radiography. Sci Rep. 2022. https://doi.org/10.1038/s41598-022-22595-1.
Article PubMed PubMed Central Google Scholar
Amitay M, Barnett-Itzhaki Z, Sudri S, et al. Deep convolution neural network for screening carotid calcification in dental panoramic radiographs. PLoS Digit Health. 2023;2(4):e0000081.
Comments (0)