Ozyilmaz Safa, Kulali Fatma, Topal Cumhur Selcuk, Yalcinkaya Cem
Department of Radiology, University of Health Sciences, Umraniye Training and Research Hospital, Adem Yavuz street. No:1, Umraniye, Istanbul, 34764, Turkey.
Department of Pathology, University of Health Sciences, Umraniye Training and Research Hospital, Istanbul, Turkey.
Abdom Radiol (NY). 2025 Feb;50(2):1009-1017. doi: 10.1007/s00261-024-04545-9. Epub 2024 Aug 27.
In mucinous ovarian tumors, preoperative prediction of histological subgroup is important for treatment approach. Therefore, we aimed to determine salient magnetic resonance imaging (MRI) findings and estimate optimal cut off values for quantitative features in differential diagnosis of benign, borderline and malignant mucinous ovarian tumors.
Between January 2011 and December 2021, preoperative MRI scans of 50 patients with mucinous ovarian tumors (n = 54) were evaluated retrospectively. MRI findings [size, signal intensity, contrast pattern, features of loculation, wall, septa and mural nodule (MN), diffusion restriction] were investigated. There were benign, borderline, and malignant groups based on histopathological results. The relationship between radiological and histopathological results was analyzed by performing Kruskal Wallis test, Pearson's chi-squared test, receiver operating characteristic analysis.
In our study, there were 54 mucinous ovarian tumors in 50 patients. Of 54, 33 were benign, 13 borderline and eight malignant tumors. In comparison of three groups, tumor size, number of loculation, number and frequency of MN were higher and apparent diffusion coefficient (ADC) value were lower in malignant group (p < 0.05). Septa thickness was lower with optimal cut off value of 2.45 mm in benign group compared to borderline and malignant groups [sensitivity: 79%, specificity: 75%, AUC (Area under the curve): 0.861] (p < 0.05). T2-weighted (T2-w) signal intensity ratio (SIR) of MN was higher in borderline compared to malignant group, with a cut-off value of 3.9 (sensitivity: 85%, specificity: 83%, AUC: 0.943) (p < 0.05). Ascites was also significant in malignant group (p < 0.05).
T2-w SIR of MN with a cut off value of 3.9 is beneficial for differential diagnosis. By awareness of some salient MRI findings (size, septa thickness, number of loculation, number and T2-w SIR of MN, ADC value and ascites), preoperative prediction of histological subgroup of mucinous tumors for appropriate treatment planning is possible.
在黏液性卵巢肿瘤中,术前预测组织学亚组对于治疗方案的制定至关重要。因此,我们旨在确定显著的磁共振成像(MRI)表现,并估计在鉴别诊断良性、交界性和恶性黏液性卵巢肿瘤时定量特征的最佳截断值。
回顾性评估2011年1月至2021年12月期间50例黏液性卵巢肿瘤患者(n = 54)的术前MRI扫描结果。研究MRI表现[大小、信号强度、强化模式、分隔、壁、间隔及壁结节(MN)的特征、扩散受限情况]。根据组织病理学结果分为良性、交界性和恶性组。通过Kruskal Wallis检验、Pearson卡方检验、受试者操作特征分析来分析影像学与组织病理学结果之间的关系。
在我们的研究中,50例患者共有54个黏液性卵巢肿瘤。其中,33个为良性,13个为交界性,8个为恶性肿瘤。三组比较,恶性组肿瘤大小、分隔数量、MN数量及出现频率更高,表观扩散系数(ADC)值更低(p < 0.05)。与交界性和恶性组相比,良性组间隔厚度更低,最佳截断值为2.45 mm [敏感度:79%,特异度:75%,曲线下面积(AUC):0.861](p < 0.05)。交界性组MN的T2加权(T2-w)信号强度比(SIR)高于恶性组,截断值为3.9(敏感度:85%,特异度:83%,AUC:0.943)(p < 0.05)。恶性组腹水情况也有统计学意义(p < 0.05)。
截断值为3.9的MN的T2-w SIR有助于鉴别诊断。通过了解一些显著的MRI表现(大小、间隔厚度、分隔数量、MN数量及T2-w SIR、ADC值和腹水情况),术前预测黏液性肿瘤的组织学亚组以制定合适的治疗方案是可行的。