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计算机断层扫描在鉴别Ⅰ期交界性卵巢肿瘤与Ⅰ期恶性上皮性卵巢肿瘤中的指标

Computed Tomography Indicators for Differentiating Stage 1 Borderline Ovarian Tumors from Stage I Malignant Epithelial Ovarian Tumors.

作者信息

Moon Min Hoan, Park Hee Sun, Kim Young Jun, Yu Mi Hye, Park Sungeun, Jung Sung Il

机构信息

Department of Radiology, Seoul National University Seoul Metropolitan Government Boramae Medical Center, Seoul National University College of Medicine, 5 Gil 20, Boramae-Road, Dongjak-Gu, Seoul 07061, Republic of Korea.

Department of Radiology, Konkuk University Medical Center, Research Institute of Medical Science, Konkuk University School of Medicine, 120-1, Neungdong-ro, Gwangjin-gu, Seoul 05030, Republic of Korea.

出版信息

Diagnostics (Basel). 2023 Jan 28;13(3):480. doi: 10.3390/diagnostics13030480.

Abstract

Preoperative diagnosis of borderline ovarian tumors (BOTs) is of increasing concern. This study aimed to determine computed tomography (CT) features in differentiating stage 1 BOTs from stage I malignant epithelial ovarian tumors (MEOTs). A total of 170 ovarian masses (97 BOTs and 73 MEOTs) from 141 consecutive patients who underwent preoperative CT imaging were retrospectively analyzed. Two readers independently and retrospectively reviewed quantitative and qualitative CT features. Multivariate logistic analysis demonstrated that a larger tumor size ( = 0.0284 for reader 1, = 0.0391 for reader 2) and a smaller solid component ( = 0.0007 for reader 1, = 0.0003 for reader 2) were significantly associated with BOTs compared with MEOTs. In the subanalysis of cases with a solid component, smaller ( = 0.0092 for reader 1, = 0.0014 for reader 2) and ill-defined ( = 0.0016 for reader 1, = 0.0414 for reader 2) solid component was significantly associated with BOTs compared with MEOTs. Tumor size and the size and margin of the solid component were useful for differentiating stage 1 BOTs from stage 1 MEOTs on CT images.

摘要

卵巢交界性肿瘤(BOTs)的术前诊断日益受到关注。本研究旨在确定计算机断层扫描(CT)特征,以鉴别Ⅰ期BOTs与Ⅰ期恶性上皮性卵巢肿瘤(MEOTs)。对141例连续接受术前CT成像的患者的170个卵巢肿块(97个BOTs和73个MEOTs)进行了回顾性分析。两名阅片者独立回顾性地评估了CT的定量和定性特征。多变量逻辑分析表明,与MEOTs相比,更大的肿瘤大小(阅片者1为 = 0.0284,阅片者2为 = 0.0391)和更小的实性成分(阅片者1为 = 0.0007,阅片者2为 = 0.0003)与BOTs显著相关。在实性成分病例的亚分析中,与MEOTs相比,更小的(阅片者1为 = 0.0092,阅片者2为 = 0.0014)和边界不清的(阅片者1为 = 0.0016,阅片者2为 = 0.0414)实性成分与BOTs显著相关。肿瘤大小以及实性成分的大小和边界对于在CT图像上鉴别Ⅰ期BOTs与Ⅰ期MEOTs很有用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/51a1/9914279/ccd11e007d3b/diagnostics-13-00480-g001.jpg

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