医学影像学杂志2024,Vol.34Issue(9) :83-87.

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

王玲 张永涛 尹虹 邹玉芬
医学影像学杂志2024,Vol.34Issue(9) :83-87.

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

王玲 1张永涛 2尹虹 1邹玉芬1
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作者信息

  • 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
  • 折叠

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.

Abstract

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 tu-mors(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 signifi-cant(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 pat-tern differed significantly among different pathological types of ovarian tumors(P<0.05).Multivariate analysis by stepwise regres-sion 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

Key words

Borderline ovarian tumors/Microcystic pattern/Ultrasound examination

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出版年

2024
医学影像学杂志
山东医学影像学研究会,山东医学影像学研究所

医学影像学杂志

CSTPCD
影响因子:1.157
ISSN:1006-9011
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