Department of Breast & Endocrine Surgery, St. Vincents University Hospital, Elm Park, Dublin 4, Ireland.
Department of Medicine, Physiotherapy & Population Science, School of Public Health Medicine, University College Dublin, Belfield, Dublin 4, Ireland.
World J Surg. 2012 May;36(5):1175-1181. doi: 10.1007/s00268-011-1377-z.
Improved preoperative localizing studies have facilitated minimally invasive approaches in the treatment of primary hyperparathyroidism (PHPT). Success depends on the ability to reliably select patients who have PHPT due to single-gland disease. We propose a model encompassing preoperative clinical, biochemical, and imaging studies to predict a patient's suitability for minimally invasive surgery.
For the purposes of the present study, 180 consecutive patients were included for analysis. A 5-variable model based on preoperative ionized serum calcium (>1.4 mmol/l), intact parathyroid hormone level (≥ 2 times the upper limit of normal), positive sestamibi scan for a single affected gland, positive ultrasound scan for a single gland, and concordance between the two imaging modalities for single-gland disease at a similar location was employed, where a score of 1 was allocated for each variable present.
Of the 180 patients, 62 (34%) underwent bilateral exploration, 63 (36%) underwent unilateral exploration, and 55 (30%) underwent minimally invasive parathyroidectomy. The results showed that 92% had single-gland disease, 3% had double adenomas, and 5% had hyperplasia. Biochemical cure was achieved in 98.9%. Mean follow-up was 153 days (range: 80-342 days). With the predictive scoring model, a score of ≥ 3 had a positive predictive value of 100% for single-gland disease.
A scoring model encompassing preoperative biochemical and imaging data can be successfully employed to predict suitability for minimally invasive surgery in the majority of patients with single-gland disease.
改进的术前定位研究促进了原发性甲状旁腺功能亢进症(PHPT)的微创治疗方法。成功取决于是否有能力可靠地选择因单腺疾病而患有 PHPT 的患者。我们提出了一个包含术前临床、生化和影像学研究的模型,以预测患者是否适合微创手术。
为了进行本研究,共纳入 180 例连续患者进行分析。采用基于术前离子血清钙(>1.4mmol/L)、完整甲状旁腺激素水平(≥正常上限的 2 倍)、单个受影响腺体的 Sestamibi 扫描阳性、单个腺体的超声扫描阳性和两种影像学模式对单个腺体疾病在相似位置的一致性的五变量模型,其中存在一个变量分配 1 分。
在 180 例患者中,62 例(34%)行双侧探查术,63 例(36%)行单侧探查术,55 例(30%)行微创甲状旁腺切除术。结果显示,92%的患者为单腺疾病,3%的患者为双腺瘤,5%的患者为增生。98.9%的患者实现了生化治愈。平均随访时间为 153 天(范围:80-342 天)。使用预测评分模型,评分≥3 分对单腺疾病的阳性预测值为 100%。
包含术前生化和影像学数据的评分模型可以成功地用于预测大多数单腺疾病患者是否适合微创手术。