Assessing the Prevalence and Association of Pulp Stones with Cardiovascular Diseases and Diabetes Mellitus in the Saudi Arabian Population—A CBCT Based Study

Srivastava, Kumar Chandan; Shrivastava, Deepti; Nagarajappa, Anil Kumar; Khan, Zafar Ali; Al-Zoubi, Ibrahim A; Mousa, Mohammed Assayed; Hamza, May Othman; David, Anju P; Aljohani, Khalid; Sghaireen, Mohammed Ghazi; Alam, Mohammad Khursheed

doi:10.3390/ijerph17249293

Cited by 26 publications

(26 citation statements)

References 28 publications

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“…The proinflammatory cytokine, interleukin 1 beta, and the calcium-dependent cytokines S100A8 and S100A9, which promote cytokine production, are up-regulated in dental pulp of diabetic rats 15 . An intriguing phenomenon related to the altered state of inflammation is pulp stones, which are observed in maxillary teeth more frequently in diabetic patients than healthy ones 16,17 . Pulp stones are generally thought of as a dental pulp defense mechanism triggered by constant irritation and inflammation.…”

Section: Significancementioning

confidence: 99%

Altered Prevalence of Pulp Diagnoses in Diabetes Mellitus Patients: A Retrospective Study

Marrero

Kobayashi

Ihsan

et al. 2022

Journal of Endodontics

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Section: Significancementioning

confidence: 99%

Altered Prevalence of Pulp Diagnoses in Diabetes Mellitus Patients: A Retrospective Study

Marrero

Kobayashi

Ihsan

et al. 2022

Journal of Endodontics

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“…This eventually assist the clinician to plan, treat and make referral for systemic conditions. [16], [17] By analyzing the resulting radiographic images with distinct patterns of intensity fluctuations, computer-aided image analysis may be able to identify aberrant tissue masses. Automatic segmentation will simplify lesion analysis, making it easier to spot and identify lesions in the clinic.…”

Section: Introductionmentioning

confidence: 99%

Machine Learning in the Detection of Dental Cyst, Tumor, and Abscess Lesions

Kumar,

Yadalam

et al. 2023

Preprint

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Background and Objective: Dental panoramic radiographs are utilized in computer-aided image analysis, which detects ab-normal tissue masses by analyzing the produced image capacity to recognize patterns of intensity fluctuations. This is done to reduce the need for invasive biopsies for arriving to a diagnosis. The aim of the current study was to examine and compare the accuracy of several texture analysis techniques, such as Grey Level Run Length Matrix (GLRLM), Grey Level Co-occurrence Matrix (GLCM), and wavelet analysis in recognizing dental cyst, tumor, and abscess lesions. Materials & Methods The current retrospective study retrieved a total of 172 dental panoramic radiographs with lesion including dental cysts, tumors, or abscess. Radiographs that failed to meet technical criteria for diagnostic quality (such as significant overlap of teeth, a diffuse image, or distortion) were excluded from the sample. The methodology adopted in the study comprised of five stages. At first, the radiographs are improved, and the area of interest was segmented manually. A variety of feature extraction techniques, such GLCM, GLRLM, and the wavelet analysis were used to gather information from the area of interest. Later, the lesions were classified as a cyst, tumor, abscess, or using a support vector machine (SVM) classifier. Eventually, the data was transferred into a Microsoft Excel spreadsheet and SPSS (version 21) was used to conduct the statistical analysis. Initially descriptive statistics were computed. For inferential analysis, statistical significance was determined by a p value < 0.05. The sensitivity, specificity, and accuracy were used to find the significant difference between assessed and actual diagnosis. Results The findings demonstrate that 98% accuracy was achieved using GLCM, 91% accuracy using Wavelet analysis & 95% accuracy using GLRLM in distinguishing between dental cyst, tumor, and abscess lesions. The AUC number indicates that GLCM achieves a high degree of accuracy. The results achieved excellent accuracy (98%) using GLCM. Conclusion The GLCM features can be used for further research. After improving the performance and training, it can support routine histological diagnosis and can assist the clinicians in arriving at accurate and spontaneous treatment plans.

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“…Recently, relation between pulp stones and hypertension have also been established. 4 Dental pulp cells have the ability to react to local and systemic stimuli by activating osteopontin, forming pulp calcifications, obstructing root canals, and changing internal anatomy. In people with diabetes mellitus, these responses are exacerbated by the dental pulp cells' ability to do these things.…”

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confidence: 99%

Pulp stones and its relation with co-morbid diseases

Elyas

Obaid²,

Aljumaah³

et al. 2023

Int J Community Med Public Health

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Pulp stones are nodular, calcified masses that can develop in the pulp of healthy, damaged or even developing teeth. In addition to a number of other factors and idiopathic factors, a number of theories have been put forward about the etiological factors behind the occurrence of pulp stones. These include age, genetic susceptibility, pulp degeneration, pulp circulatory disturbances, inductive interactions between pulp tissue and epithelium, and orthodontic tooth movements. Recently, pulp stones development has been linked to a number of systemic disorders, including diabetes, renal diseases, autoimmune diseases, and coronary artery disease. Osteopontin appears to contribute to plaque calcification and is a component of atheromatous plaques. Calcifications have also been noted in renal and carotid arteries with osteopontin, and numerous studies have shown a relationship between atheromatous plaques in arteries and the development of pulp stones. The development of pulp stones, kidney stones, joint calcification, and atheromatous plaques in arteries are thought to share the same mechanism of apatite formation. It has been hypothesized that the biological apatite that nanobacteria produce on their cell walls, which is comparable to kidney stones and calcified tissue, may be a common cause of both pulp stones and atheromatous plaques seen in coronary artery disease. As per the findings of several studies, pulp stones are more severe in coronary artery disease patients. The purpose of this research is to review the available information about pulp stones and its relation with co-morbid diseases.

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Assessing the Prevalence and Association of Pulp Stones with Cardiovascular Diseases and Diabetes Mellitus in the Saudi Arabian Population—A CBCT Based Study

Cited by 26 publications

References 28 publications

Altered Prevalence of Pulp Diagnoses in Diabetes Mellitus Patients: A Retrospective Study

Altered Prevalence of Pulp Diagnoses in Diabetes Mellitus Patients: A Retrospective Study

Machine Learning in the Detection of Dental Cyst, Tumor, and Abscess Lesions

Pulp stones and its relation with co-morbid diseases

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