微囊征对交界性卵巢肿瘤的预测价值研究  

Study on the predictive value of microcystic pattern in borderline ovarian tumors

作　　者：王玲[1] 张永涛 尹虹 邹玉芬 WANG Ling;ZHANG Yongtao;YIN Hong;ZOU Yufen(Department of Ultrasound,Shandong Provincial Maternal and Child Health Care Hospital Affiliated to Qingdao University,Jinan 250014,China;Department of imaging,Shandong Provincial Mental Health Center,Jinan 250014,China)

机构地区：[1]青岛大学附属山东省妇幼保健院超声科,山东济南250014 [2]山东省精神卫生中心医学影像科,山东济南250014

出　　处：《医学影像学杂志》2024年第9期83-87,共5页Journal of Medical Imaging

摘　　要：目的探讨微囊征对交界性卵巢肿瘤(BOTs)的预测价值。方法选取我院经病理证实的BOTs 22例(BOTs组),良性上皮性肿瘤27例(良性组),恶性上皮性肿瘤18例(恶性组)。提取三组患者人口统计数据、临床数据和超声图像等特征,进行单因素分析。为避免共线性选择逐步回归方法分析以建立最优的预测模型。结果三组患者年龄比较差异有统计学意义(P<0.05),恶性组年龄显著高于BOTs组,差异有统计学意义(P<0.05),而良性组与BOTs组年龄差异无统计学意义(P=0.794)。与恶性组相比BOTs组伴发宫旁肿瘤的几率更低,差异有统计学意义(P<0.05)。单因素分析发现肿瘤的发生位置、乳头状突起、实性成分最大径、声影、内壁是否光滑、血流评分、腹水和微囊征等超声特征在不同病理类型的卵巢肿瘤中比较,差异均有统计学意义(P<0.05)。经逐步回归多因素分析,微囊征与BOTs存在正相关性,微囊征是BOTs的一个重要预测因子。结论微囊征对于预测BOTs具有一定的价值,有望提高对该疾病的早期诊断及治疗水平。Objective To explore the predictive value of microcystic pattern in borderline ovarian tumors(BOTs).Methods Twenty-two cases of BOTs confirmed by pathology in our hospital(BOTs group),27 cases of benign epithelial tumors(benign group),and 18 cases of malignant epithelial tumors(malignant group)were selected.Population demographics,clinical data,and ultrasound images were extracted from the patients in three groups for univariate analysis.Stepwise regression analysis was used to establish the optimal predictive model to avoid collinearity.Results There was a statistically significant difference in age among the patients in three groups(P<0.05),with the malignant group having a significantly higher age than the BOTs group(P<0.05),while the age difference between the benign group and the BOTs group was not statistically significant(P=0.794).Compared with the malignant group,the odds of tumor located adjacent to the uterus in the BOTs group were lower(P<0.05).Univariate analysis found that ultrasound features such as tumor location,papillary projections,maximum solid component diameter,echogenicity,smoothness of internal wall,Doppler flow score,presence of ascites,and microcystic pattern differed significantly among different pathological types of ovarian tumors(P<0.05).Multivariate analysis by stepwise regression revealed a positive correlation between microcystic pattern and BOTs,indicating that microcystic pattern was an important predictive factor for BOTs.Conclusion Microcystic pattern has a certain value in predicting BOTs,which may improve the early diagnosis and treatment of this disease.

关 键 词：交界性卵巢肿瘤 微囊征 超声检查 

分 类 号：R737.31[医药卫生—肿瘤] R445.1[医药卫生—临床医学]