Aims: Minimally invasive parathyroidectomy (MIP) has become the first line of treatment for primary hyperparathy- roidism caused by solitary parathyroid adenoma. In order to increase the sensitivity of high-resolution ultrasonography (hUS), surgeon performed ultrasonography (SUS) has been increasingly used preoperatively. However, a radiologist and surgeon performing ultrasonography (RSUS) has not been a usual practice. In this study, we aimed to evaluate the clinical contribution of RSUS on MIP. Material and methods: From 2012 to 2014, a total of 30 consecutive patients (4 male, 26 female, mean age 48.87±14.52 years) with solitary parathyroid adenoma, were included in the study. All patients underwent preoperative hUS and Technetium-99m sestamibi scintigraphy. In patients, demographic characteristics, diagnostic tools used, levels of bio- chemical parameters, duration of operation, and length of hospital stay were recorded. Results: Adenomas were successfully localized by US in all patients and the surgical approach was determined according to this localization. Parathyroidectomy with MIP was successfully performed under local anesthesia in all patients. Mean operation time was 19.87±3.35 min. Post- operative PTH and calcium values were significantly decreased. All patients were discharged from the hospital in the same day. None of the patients had complications such as recurrent laryngeal nerve injury, hematoma, or injury to nearby organs. None of the patients had drains placed. Conclusions: Adenoma is well localized by US and thus, MIP can be completed under local anesthesia. US provides a very important clinical contribution to the success of MIP. In addition to these, RSUS helps in determining the location of the incision and the shortest way to achieve the lesion; therefore, it provides a small incision and shortens duration of the operation with a minimal dissection.
Radioguided occult lesion localization for minimally-invasive parathyroidectomy without quick PTH monitoring and frozen section: impact of the learning curve
