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Ossifying fibroma (OF) is a benign fibro-osseous lesion characterized by the proliferation of fibrous connective tissue containing immature bone and/or cementum-like hard tissue. Although the pathogenesis of OF remains unclear, trauma, previous extractions, and periodontitis are considered potential trigger factors. OF is more common in women aged from the second to fourth decades. Clinically, OF is characterized by slow-growing and asymptomatic swelling, often observed incidentally on radiological examinations. OF occurs more frequently in the mandible, particularly above the mandibular canal. Herein, we present a rare case of OF in an 18-year-old man initially misdiagnosed as a static bone cavity. The lesion was first observed as a radiolucent finding below the left mandibular canal on a panoramic radiograph. Later, cone-beam computed tomography (CBCT) imaging revealed the presence of calcifications within the lesion. Additionally, CBCT confirmed the presence of the lesion within the lingual cortical bone, revealing lingual swelling and thinning of the outer cortex. Enucleation was successfully performed under general anesthesia without any postoperative complications. Histopathological examination confirmed the diagnosis of OF, revealing mineralized tissue and proliferating fibrous connective tissue. This case underscores the challenges in diagnosing OF, particularly when it is located below the mandibular canal, emphasizing the importance of thorough imaging and differential diagnosis to avoid misinterpretation as a static bone cavity.

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OBJECTIVES: We investigated the association among diagnosed osteoporosis, osteoporotic fractures, and carotid artery calcification (CAC) detected on panoramic radiographs. Additionally, we assessed whether osteoporosis or fractures could be predicted by an incidental finding of CAC. STUDY DESIGN: One thousand twenty-one patients participated in this study. Patients completed a structured questionnaire. Logistic regression analysis adjusted for covariates was used to calculate the odds ratio (95% confidence interval) for diagnosed osteoporosis or fractures according to the presence of CAC. Extended receiver operating characteristic (ROC) curve analysis was used to clarify whether osteoporosis or fractures were predicted by the detection of CAC. RESULTS: The odds ratios for diagnosed osteoporosis or fracture associated with CAC were 1.82 (1.02-3.24) and 0.77 (0.33-1.77), respectively. The areas under the ROC curves for identifying patients with osteoporosis or fractures according to the detection of CAC were 0.54 and 0.50, respectively. CONCLUSIONS: CAC may not be useful for identifying Japanese individuals with osteoporosis or those at risk of fracture, although the presence of CAC was significantly associated with a history of diagnosed osteoporosis without osteoporotic fractures.

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PURPOSE: We investigated whether there was any association between age, sex, and body mass index (BMI) and nodal morphology and vascular pattern in healthy young Japanese adults. METHODS: Three neck regions in 100 healthy subjects, 19-40 years old, were examined by gray-scale and color Doppler sonography. Vascular pattern was classified into three groups: avascular, hilar, or scattered. A linear mixed-effect model was used to identify associations of age, sex, or BMI with the short-axis diameter and the short-to-long axis diameter ratio (S/L). A cumulative link mixed model was used to identify any association between age, sex, BMI, and vascular pattern. RESULTS: In the upper cervical region, a decrease in the short-axis diameter was statistically significantly associated with aging (p = 0.04), and an increase in the short-axis diameter was significantly associated with greater BMI (p < 0.001). An increase in short-axis diameter was significantly associated with female sex (p = 0.02) and higher BMI (p = 0.002) in the submandibular region, whereas it was associated with higher BMI (p = 0.001) in the submental region. A greater S/L was significantly associated with higher BMI and female sex in all regions. The scattered vascular pattern tended to be associated with lower BMI (p = 0.051) in the upper cervical region, but it was significantly associated with higher BMI (p = 0.01) in the submental region. CONCLUSIONS: Nodal morphology and vascular pattern may be associated with age, sex, and BMI.

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