Hypercalcemia caused by comorbid parathyroid adenoma and pulmonary tuberculosis

Tuberculous granulomatous inflammation of parathyroid adenoma manifested as primary hyperparathyroidism: A case report and a review of the literature

Tuberculosis of the thyroid gland is rare, and tuberculous granulomatous inflammation of the parathyroid glands is even rarer. The present study reports a rare case of primary hyperparathyroidism caused by tuberculous granulomatous inflammation. A 58-year-old female patient presented with generalized body pain persisting for 1 year. She had a history of recurrent renal stones (>20 times) and an incidental finding of multinodular goiter involving the parathyroid on neck ultrasound. A blood analysis revealed elevated levels of serum calcium (11.26 mg/dl) and parathyroid hormone (154.7 pg/ml). The patient underwent the resection of the affected left thyroid lobe under general anesthesia. A histopathological examination revealed parathyroid adenoma with caseating granulomatous inflammation involving the adenoma with focal lymphocytic thyroiditis of the left thyroid gland. Although granulomatous parathyroid disease with parathyroid adenoma causing hypercalcemia is an extremely rare event, it can occur. The treatment of choice is surgical resection.

Intelligence Classification Algorithm-Based Drug-Resistant Pulmonary Tuberculosis Computed Tomography Imaging Features and Influencing Factors

The drug resistance and influencing factors of patients with pulmonary tuberculosis were investigated, and a dual attention dilated residual network (DADRN) algorithm was proposed. The algorithm was applied to process and analyze lung computed tomography (CT) images of 400 included patients with pulmonary tuberculosis. Besides, sparse code book algorithm and bag of visual word (BOVW) algorithms were introduced and compared, and the influencing factors of pulmonary tuberculosis drug resistance were analyzed. The results demonstrated that the localization precision of lung consolidation, nodules, and cavities by the DADRN algorithm reached 91.2%, 92.5%, and 93.8%, respectively. The recall rate of the three algorithms amounted to 83.55%, 84.5%, and 86.4%, respectively. Both localization precision and recall rate of the DADRN algorithm were higher than those of other two algorithms ( $P<0.05$ ). The drug resistance rate of streptomycin, isoniazid, and rifampin of the patients aged between 40 and 59 was all higher than those of the patients in other age groups. The drug resistance rate of streptomycin, isoniazid, and rifampin of retreated patients was all higher than those of patients initially treated. The drug resistance rate of streptomycin, isoniazid, and rifampin of the patients with tuberculosis contact was all higher than those of the patients without tuberculosis contact ( $P<0.05$ ). Based on the above results, the accuracy of CT images processed by dual attention-based dilated residual classification network algorithm was higher than that processed by other two algorithms. Age, medical history, and history of exposure to tuberculosis were the influencing factors of the drug resistance of patients with pulmonary tuberculosis.