Comparison of endoscopic versus focused parathyroidectomy in surgical management of single-gland primary hyperparathyroidism: a randomized clinical trial.

BACKGROUND: Over recent years, various advanced minimally invasive techniques have been developed for parathyroidectomy, and there was a universal acceptance of these less invasive procedures by surgeons. This study is designed to compare overall outcomes between endoscopic versus focused, single gland parathyroidectomy using intraoperative rapid parathyroid hormone (ioPTH) changes under general anesthesia in primary hyperparathyroidism (PHPT) patients. METHOD: In this randomized clinical trial, 96 patients diagnosed with PHPT were randomly assigned into two groups endoscopic and focused parathyroidectomy. Baseline clinical and demographical data were collected along with perioperative features. The success rate was evaluated based on ioPTH changes. RESULTS: The ioPTH levels after five minutes in the endoscopic group were significantly lower than the focused group (P = 0.005). The success rate for endoscopic and the focused method was 95.3% and 77.1% during the first five minutes (P = 0.013) and 100% in both groups after ten minutes. A decrease in parathyroid hormone levels was significant in each group but not between each other. Postoperative calcium levels were significantly lower in the focused method (P = 0.042). The focused group also had a significantly shorter operation time than the endoscopic group (P < 0.001). Patient satisfaction with cosmetic outcome was significantly higher in the endoscopic group compared to the focused group. CONCLUSION: The endoscopic technique was superior to the unilateral focused neck exploration parathyroidectomy in the management of single-gland PHPT. Influencing aspects included higher postoperative calcium levels, more rapid success achievement, and satisfactory cosmetic outcomes in the endoscopic group. However, patient selection and accurate adenoma localization are vital in this method.

Quantitative analysis of lung lesions using unenhanced chest computed tomography images.

INTRODUCTION: Chest radiograph and computed tomography (CT) scans can accidentally reveal pulmonary nodules. Malignant and benign pulmonary nodules can be difficult to distinguish without specific imaging features, such as calcification, necrosis, and contrast enhancement. However, these lesions may exhibit different image texture characteristics which cannot be assessed visually. Thus, a computer-assisted quantitative method like histogram analysis (HA) of Hounsfield unit (HU) values can improve diagnostic accuracy, reducing the need for invasive biopsy. METHODS: In this exploratory control study, nonenhanced chest CT images of 20 patients with benign (10) and cancerous (10) lesion were selected retrospectively. The appearances of benign and malignant lesions were very similar in chest CT images, and only pathology report was used to discriminate them. Free hand region of interest (ROI) was inserted inside the lesion for all slices of each lesion. Mean, minimum, maximum, and standard deviations of HU values were recorded and used to make HA. RESULTS: HA showed that the most malignant lesions have a mean HU value between 30 and 50, a maximum HU less than 150, and a minimum HU between -30 and 20. Lesions outside these ranges were mostly benign. CONCLUSION: Quantitative CT analysis may differentiate malignant from benign lesions without specific malignancy patterns on unenhanced chest CT image.