Sadamoto Y, Oda S, Tanaka M, Harada N, Kubo H, Eguchi T, Nawata H
Department of Medicine and Bioregulatory Science, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.
Endoscopy. 2002 Dec;34(12):959-65. doi: 10.1055/s-2002-35859.
The purpose of this study was to assess the accuracy of endoscopic ultrasonography (EUS) in making a differential diagnosis of small (< or = 20 mm in diameter) polypoid lesions of the gallbladder, and to construct an EUS scoring system.
The EUS findings were retrospectively analyzed in 70 surgical cases of small polypoid lesions classified into two groups: neoplastic (adenocarcinoma in 11, and adenoma in 7), and non-neoplastic (cholesterol polyp in 44, inflammatory polyp in 7 and fibrous polyp in 1). The EUS variables were the maximum diameter and height/width ratio of the largest polyps, echo level, internal echo pattern, surface patterns, number and shape of polyps, presence of hyperechoic spotting, complication of gallbladder stones. The EUS data were used for the construction of an EUS scoring system to ascertain the risk of neoplasia.
Three EUS variables, i. e. tumor maximum size, internal echo pattern, and hyperechoic spotting were statistically significant according to multivariate analysis using stepwise logistic regression models (P < 0.01, P < 0.05, and P < 0.01, respectively). The total EUS score based on the coefficient of multivariate analysis was as follows: (maximum diameter in mm) + (internal echo pattern score; where heterogeneous = 4, homogeneous = 0) + (hyperechoic spot[s] score; where presence = - 5, absence = 0). According to our EUS scoring system, the sensitivity, specificity, and accuracy for the risk of neoplastic polyps with scores of 12 or higher were 77.8 %, 82.7 % and 82.9 %, respectively.
The EUS scoring system will be a useful means of differentiating between neoplastic and non-neoplastic polyps of the gallbladder.
本研究旨在评估内镜超声检查(EUS)对胆囊小(直径≤20mm)息肉样病变进行鉴别诊断的准确性,并构建EUS评分系统。
回顾性分析70例手术切除的胆囊小息肉样病变病例,这些病例分为两组:肿瘤性病变(11例腺癌和7例腺瘤)和非肿瘤性病变(44例胆固醇息肉、7例炎性息肉和1例纤维息肉)。EUS变量包括最大息肉的最大直径和高/宽比、回声水平、内部回声模式、表面模式、息肉数量和形状、高回声斑点的存在情况、胆囊结石的并发症。EUS数据用于构建EUS评分系统以确定肿瘤形成的风险。
根据逐步逻辑回归模型进行的多变量分析,三个EUS变量具有统计学意义,即肿瘤最大尺寸、内部回声模式和高回声斑点(分别为P<0.01、P<0.05和P<0.01)。基于多变量分析系数的EUS总评分如下:(以毫米为单位的最大直径)+(内部回声模式评分;不均匀=4,均匀=0)+(高回声斑点评分;存在=-5,不存在=0)。根据我们的EUS评分系统,评分12分及以上的肿瘤性息肉风险的敏感性、特异性和准确性分别为77.8%、82.7%和82.9%。
EUS评分系统将是区分胆囊肿瘤性和非肿瘤性息肉的有用方法。