Department of Endocrine Surgery, Division of Surgery, King's College Hospital Foundation Trust, London, United Kingdom.
Reader in Cellular and Molecular Pathology (Division of Cancer Studies), King's Health Partners, London, United Kingdom.
Front Endocrinol (Lausanne). 2023 Aug 4;14:1235243. doi: 10.3389/fendo.2023.1235243. eCollection 2023.
We seek a simple and reliable tool to predict malignant behavior of pheochromocytoma and paraganglioma (PPGL).
This single-center prospective cohort study assessed size of primary PPGLs on preoperative cross-sectional imaging and prospectively scored specimens using the Pheochromocytoma of the Adrenal Gland Scaled Score (PASS). Multiplication of PASS points with maximum lesion diameter (in mm) yielded the SIZEPASS criterion. Local recurrence, metastasis or death from disease were surrogates defining malignancy.
76 consecutive PPGL patients, whereof 58 with pheochromocytoma and 51 female, were diagnosed at a mean age of 52.0 ± 15.2 years. 11 lesions (14.5%) exhibited malignant features at a median follow-up (FU) of 49 months (range 4-172 mo). Median FU of the remaining cohort was 139 months (range 120-226 mo). SIZEPASS classified malignancy with an area under the curve (AUC) of 0.97 (95%CI 0.93-1.01; p<0.0001). Across PPGL, SIZEPASS >1000 outperformed all known predictors of malignancy, with sensitivity 91%, specificity 94%, and accuracy 93%, and an odds ratio of 72 fold (95%CI 9-571; P<0.001). It retained an accuracy >90% in cohorts defined by location (adrenal, extra-adrenal) or mutation status.
The SIZEPASS>1000 criterion is a lesion-based, clinically available, simple and effective tool to predict malignant behavior of PPGLs independently of age, sex, location or mutation status.
我们寻求一种简单可靠的工具来预测嗜铬细胞瘤和副神经节瘤(PPGL)的恶性行为。
这项单中心前瞻性队列研究评估了术前横断面成像中PPGL 原发肿瘤的大小,并使用肾上腺嗜铬细胞瘤评分(PASS)对标本进行前瞻性评分。PASS 分数乘以最大病变直径(mm)得到 SIZEPASS 标准。局部复发、转移或疾病相关死亡是定义恶性肿瘤的替代指标。
76 例连续的 PPGL 患者,其中 58 例为嗜铬细胞瘤,51 例为女性,平均年龄为 52.0±15.2 岁。11 个病灶(14.5%)在中位随访(FU)49 个月(范围 4-172 个月)时表现出恶性特征。其余队列的中位 FU 为 139 个月(范围 120-226 个月)。SIZEPASS 的曲线下面积(AUC)为 0.97(95%CI 0.93-1.01;p<0.0001),可用于恶性肿瘤的分类。在所有已知的恶性肿瘤预测因子中,SIZEPASS>1000 的表现均优于其他预测因子,其灵敏度为 91%,特异性为 94%,准确性为 93%,优势比为 72 倍(95%CI 9-571;P<0.001)。在根据位置(肾上腺、肾上腺外)或突变状态定义的队列中,其准确性仍>90%。
SIZEPASS>1000 标准是一种基于病变的、临床可用的、简单有效的工具,可独立于年龄、性别、位置或突变状态预测 PPGL 的恶性行为。