Risk assessment of osteoradionecrosis associated with periodontitis using 18F-FDG PET/CT

Ito, Kotaro; Takumi, Koji; Meibom, Sara K.; Qureshi, Muhammad M.; Fujima, Noriyuki; Arasa, Vanessa Carlota Andreu; Truong, Minh Tam; Salama, Andrew; Kaneda, Takashi; Sakai, Osamu

doi:10.1016/j.ejrad.2020.109259

Cited by 7 publications

(3 citation statements)

References 20 publications

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“…In the present study, the risk of ORN was significantly higher in the patients who underwent tooth extraction after RT (Kubota et al, 2021; Lajolo et al, 2021). In addition, undergoing invasive bone surgery (e.g., mandibulectomy) is significantly positively related to ORN development (Ito et al, 2020) because surgery causes considerable trauma and enhances healing activity.…”

Section: Discussionmentioning

confidence: 99%

Tooth extraction within 2 weeks before radiotherapy and osteoradionecrosis: A nationwide cohort study

et al. 2022

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ObjectivesThe theory of at least 2‐week waiting period between tooth extraction and head and neck radiotherapy could reduce osteoradionecrosis remains controversial. Thus, this study examined the theory and associated factors.Materials and MethodsData were retrieved from the National Health Insurance Research Database, Taiwan Cancer Registry Database, and Cause of Death Statistics. We included 24,353 patients with head and neck cancer who received radiotherapy from 2011 to 2017 and were followed up until 2019. The patients were divided into three groups: those undergoing tooth removal 2–8 weeks before radiotherapy, those undergoing tooth removal within 2 weeks before radiotherapy, and others. Confounding factors were clinical information, physical conditions, and risky habits. We used the Cox regression model to assess osteoradionecrosis risk.ResultsNo significant difference in osteoradionecrosis risk was observed between those undergoing tooth extraction within 2 weeks before radiotherapy and the other groups. An irradiation dose of ≥60 Gy, chemotherapy, tumor excision, post‐radiotherapy tooth extraction, mandibulectomy, hyperlipidemia, and oral cavity as the tumor subsite were significantly positively associated with osteoradionecrosis risk.ConclusionA waiting period of ≥2 weeks between tooth extraction and radiotherapy did not significantly reduce osteoradionecrosis risk.

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Section: Discussionmentioning

confidence: 99%

Tooth extraction within 2 weeks before radiotherapy and osteoradionecrosis: A nationwide cohort study

et al. 2022

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“…The transmission effect formed by the destruction of the apical bone is the main basis for the clinical diagnosis of chronic periodontitis. In many cases, X-rays cannot provide enough information on the actual size of the lesion and the spatial location of the anatomical landmarks [6,7]. CT has been extensively used in various fields.…”

Section: Introductionmentioning

confidence: 99%

Computed Tomography Three-Dimensional Reconstruction Algorithm in the Diagnosis of Periodontitis and Its Correlation with Hypertension

Pan

Liu

et al. 2022

Computational and Mathematical Methods in Medicine

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This study was aimed at exploring the value of iterative reconstruction (IR) algorithm to treat the periodontitis using computed tomography (CT) image and analyze the relationship between periodontitis and hypertension. 95 patients with periodontitis were selected, including 43 patients with periodontitis, 41 patients with advanced periodontitis and hypertension, and 11 patients with periodontitis and nonhigh blood pressure (NBP). The IR algorithm was introduced to the CT image scanning of them to reduce the noise. In addition, the CT value was statistically analyzed. High-sensitivity C-reactive protein (hs-CRP) and interleukin 6 (IL-6) were dramatically increased compared with periodontitis patients with NBP and with hypertension ( P < 0.05 ). After the IR algorithm of the image, the quality, information, and mean square error (MSE) of the image were all effectively improved. Image with a 50% dose showed the lowest noise, but the reconstruction algorithm improved the low-contrast resolution. Moderate and severe periodontitis was independently related to hypertension. Inflammatory cytokines were independently related to hypertension of periodontitis patients ( P < 0.05 ). Therefore, it was concluded that the IR algorithm could effectively improve the spatial resolution of the CT image when it was adopted to treat periodontitis and showed a high accuracy rate; the incidence of hypertension in patients with periodontitis was relatively high, and it had a certain relationship with periodontitis; and inflammatory cytokines were related to periodontitis and hypertension of patients.

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“…When scanning the database, there is no need to repeat the established conditions, which reduces the memory consumption and effectively improves the operation efficiency. e essence of classical association classification algorithm is to adopt confidence degree, support degree, and rule item so that it can consider both confidence degree and support degree comprehensively [11]. In this study, an association classification algorithm was used and pruned by statistical measurement technology to obtain more accurate association rules and improve the accuracy of the association classifier.…”

Section: Introductionmentioning

confidence: 99%

Classification Algorithm-Based CT Imaging in Diagnosis of Acute Respiratory Distress Syndrome and Analysis of Pathogenic Factors

Chen

2021

Scientific Programming

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The study focused on the application value of classification algorithms in processing CT images of acute respiratory distress syndrome (ARDS) and aimed to analyze the pathogenic factors of ARDS. A total of 60 ARDS patients in hospital were selected, and they were divided into ARDS group (38 cases) and non-ARDS group (22 cases) as per diagnostic criteria. There was no significant difference in general data between the two groups ( P > 0.05 ). The FWAC algorithm was introduced into CT imaging to classify the image data more accurately. The two groups were compared for the left ventricular ejection fraction (LVEF), oxygenation index PaO2/FiO2 (P/F), Acute Physiology and Chronic Health Evaluation (APACHE II) scores, pH, and PaO2. The results showed that the PaO2, P/F, and APACHE II scores of the two groups were not statistically significant ( P > 0.05 ). The P/F of the ARDS group was 136.12, and that of the non-ARDS group was 143.04; the APACHE II score of the ARDS group was 40.1, and that of the non-ARDS group was 62.3, showing no significant difference ( P > 0.05 ); the LVEF of the ARDS group was 58.14, and that of the non-ARDS group was 46.26, showing statistically significant differences ( P > 0.05 ). When the minimum support was 0.3 and the minimum confidence was 0.5, the value of Recurrence was 0.7082 and the value of Diagnosis was 0.968. The rules generated by the FWAC algorithm can accurately predict the category and were consistent with the expected results. The accuracy of this algorithm was as high as 98.7%, which was significantly higher than that of the conventional CT imaging (88.4%). The rules generated by FWAC were more accurate, assisting doctors in the prevention and diagnosis of ARDS disease. Premature delivery and asphyxia are high-risk factors of ARDS. In conclusion, the FWAC algorithm has a good classification ability of the CT images of ARDS and demonstrates high accuracy.

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Risk assessment of osteoradionecrosis associated with periodontitis using 18F-FDG PET/CT

Cited by 7 publications

References 20 publications

Tooth extraction within 2 weeks before radiotherapy and osteoradionecrosis: A nationwide cohort study

Tooth extraction within 2 weeks before radiotherapy and osteoradionecrosis: A nationwide cohort study

Computed Tomography Three-Dimensional Reconstruction Algorithm in the Diagnosis of Periodontitis and Its Correlation with Hypertension

Classification Algorithm-Based CT Imaging in Diagnosis of Acute Respiratory Distress Syndrome and Analysis of Pathogenic Factors

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