Assessment of Carotid Artery Calcifications on Digital Panoramic Radiographs and Their Relationship With Periodontal Condition and Cardiovascular Risk Factors

Çetin, Mehtap Bilgin; Sezgin, Yasemin; Yilmaz, Mediha Nur Nişanci; Seçgin, Cansu Köseoğlu

doi:10.1111/idj.12618

Cited by 9 publications

(9 citation statements)

References 44 publications

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“…We appreciate the interest and the comments by Dr Heraldo Luís Dias da Silveira and his colleagues about our article titled ‘‘Assessment of Carotid Artery Calcifications on Digital Panoramic Radiographs and Their Relationship With Periodontal Condition and Cardiovascular Risk Factors.” 1 We think that these comments and responses will be a guide for future studies.…”

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confidence: 99%

Letter to the Editor: Authors' Response

Çetin

Sezgin

Yilmaz

et al. 2022

International Dental Journal

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confidence: 99%

Letter to the Editor: Authors' Response

Çetin

Sezgin

Yilmaz

et al. 2022

International Dental Journal

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“…Detecting calcified findings on panoramic radiography has important clinical significance. In particular, in the case of carotid artery calcification, it is important for cardiovascular disease and stroke prevention [35][36][37] , and lymph node calcification is known to be mainly related to tuberculosis. Although it is difficult to read easily, it is very important that if you accidentally discover that there is calcification in the head and neck, it can be an important clue to find out the patient's medical history.…”

Section: Discussionmentioning

confidence: 99%

Comparison of detection performance of soft tissue calcifications using artificial intelligence in panoramic radiography

Song

Jeong²,

Kim

et al. 2022

Sci Rep

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Artificial intelligence (AI) is limited to teeth and periodontal disease in the dental field, and is used for diagnosis assistance or data analysis, and there has been no research conducted in actual clinical situations. So, we created an environment similar to actual clinical practice and conducted research by selecting three of the soft tissue diseases (carotid artery calcification, lymph node calcification, and sialolith) that are difficult for general dentists to see. Therefore, in this study, the accuracy and reading time are evaluated using panoramic images and AI. A total of 20,000 panoramic images including three diseases were used to develop and train a fast R-CNN model. To compare the performance of the developed model, two oral and maxillofacial radiologists (OMRs) and two general dentists (GDs) read 352 images, excluding the panoramic images used in development for soft tissue calcification diagnosis. On the first visit, the observers read images without AI; on the second visit, the same observers used AI to read the same image. The diagnostic accuracy and specificity for soft tissue calcification of AI were high from 0.727 to 0.926 and from 0.171 to 1.000, whereas the sensitivity for lymph node calcification and sialolith were low at 0.250 and 0.188, respectively. The reading time of AI increased in the GD group (619 to 1049) and decreased in the OMR group (1347 to 1372). In addition, reading scores increased in both groups (GD from 11.4 to 39.8 and OMR from 3.4 to 10.8). Using AI, although the detection sensitivity of sialolith and lymph node calcification was lower than that of carotid artery calcification, the total reading time of the OMR specialists was reduced and the GDs reading accuracy was improved. The AI used in this study helped to improve the diagnostic accuracy of the GD group, who were not familiar with the soft tissue calcification diagnosis, but more data sets are needed to improve the detection performance of the two diseases with low sensitivity of AI.

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“…Numerous studies described the use and utility of routine dental panoramic radiographs and the prevalence of CACs on panoramic radiographs in different populations [ 2 , 6 , 7 , 8 , 9 ]. The relevance of PR as a screening tool for patients at risk of CVD has been supported by several observations [ 10 , 11 , 12 , 13 ],…”

Section: Introductionmentioning

confidence: 95%

Carotid Artery Calcifications on Panoramic Radiographs

Janiszewska‐Olszowska

Jakubowska

Gieruszczak³

et al. 2022

IJERPH

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Objective: The objective of this study was to evaluate the prevalence of carotid artery calcifications (CACs) on panoramic radiographs of Polish dental patients. Methods: Panoramic radiographs made between 2005 and 2012 in 4000 patients born between 1922 and 1958 were accessed from the server of the Department of Radiology and analyzed for the presence or absence of CACs by a group of trained dentists. Results: The anatomical area covered by the analysis was visible in 2189 images (54.73%). Calcifications in the carotid arteries were found in 468 (21.68%) patients, including 327 (14.94%) unilaterally and 141 (6.44%) bilaterally. CACs were found in 284 (60.68%) women and 184 (39.32%) men. Conclusions: The prevalence rate of CACs detected on panoramic radiographs in patients aged 54 and older was 21.68%, which makes it an important clinical problem.

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Assessment of Carotid Artery Calcifications on Digital Panoramic Radiographs and Their Relationship With Periodontal Condition and Cardiovascular Risk Factors

Cited by 9 publications

References 44 publications

Letter to the Editor: Authors' Response

Letter to the Editor: Authors' Response

Comparison of detection performance of soft tissue calcifications using artificial intelligence in panoramic radiography

Carotid Artery Calcifications on Panoramic Radiographs

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