Diagnostic utility of a conventional MRI-based analysis and texture analysis for discriminating between ovarian thecoma-fibroma groups and ovarian granulosa cell tumors.
Diagnostic utility of a conventional MRI-based analysis and texture analysis for discriminating between ovarian thecoma-fibroma groups and ovarian granulosa cell tumors.
复制标题
基于常规磁共振成像的分析及纹理分析在鉴别卵巢卵泡膜纤维瘤组和卵巢颗粒细胞瘤中的诊断效能
DOI：
10.1186/s13048-022-00989-z
复制
发表时间：
2022-05-25
影响因子：
4
通讯作者：
中科院分区：
文献类型：
--
作者：
评价基于常规磁共振成像（MRI）特征和纹理分析（TA）在区分卵巢卵泡膜细胞瘤-纤维瘤组（OTFGs）和卵巢颗粒细胞瘤（OGCT）中的诊断价值。这项回顾性多中心研究入组了52例患者，其中32例OGCT和21例OTFG，这些患者在2008年1月至2019年12月期间进行了解剖和病理诊断。对OTFG和OGCT的MRI特征（MBF）和纹理特征（TF）进行了评价和比较。最小绝对收缩和选择算子（LASSO）回归分析进行选择功能和构建判别模型。对MBF、TF及其组合进行ROC分析，以区分两种疾病。我们为每个模型选择了LASSO回归系数绝对值最高的3个特征：基于MRI的模型的表观弥散系数（ADC）、外周囊性面积和静脉期对比增强（VCE）;基于TA的模型的第10百分位数、差异方差和最大相关系数;以及组合模型的ADC、VCE和差异方差。所建模型的曲线下面积分别为0.938、0.817和0.941。基于MRI和组合模型的诊断性能相似（p = 0.38），但显著优于基于TA的模型（p < 0.05）。传统的基于MRI的分析有可能作为一种方法来区分OTFG和OGCT。TA似乎没有任何额外的好处。需要进一步研究使用这些方法对这两种疾病的术前鉴别诊断。在线版本包含补充材料，可通过10.1186/s13048-022-00989-z获得。
To evaluate the diagnostic utility of conventional magnetic resonance imaging (MRI)-based characteristics and a texture analysis (TA) for discriminating between ovarian thecoma-fibroma groups (OTFGs) and ovarian granulosa cell tumors (OGCTs). This retrospective multicenter study enrolled 52 patients with 32 OGCTs and 21 OTFGs, which were dissected and pathologically diagnosed between January 2008 and December 2019. MRI-based features (MBFs) and texture features (TFs) were evaluated and compared between OTFGs and OGCTs. A least absolute shrinkage and selection operator (LASSO) regression analysis was performed to select features and construct the discriminating model. ROC analyses were conducted on MBFs, TFs, and their combination to discriminate between the two diseases. We selected 3 features with the highest absolute value of the LASSO regression coefficient for each model: the apparent diffusion coefficient (ADC), peripheral cystic area, and contrast enhancement in the venous phase (VCE) for the MRI-based model; the 10th percentile, difference variance, and maximal correlation coefficient for the TA-based model; and ADC, VCE, and the difference variance for the combination model. The areas under the curves of the constructed models were 0.938, 0.817, and 0.941, respectively. The diagnostic performance of the MRI-based and combination models was similar (p = 0.38), but significantly better than that of the TA-based model (p < 0.05). The conventional MRI-based analysis has potential as a method to differentiate OTFGs from OGCTs. TA did not appear to be of any additional benefit. Further studies are needed on the use of these methods for a preoperative differential diagnosis of these two diseases. The online version contains supplementary material available at 10.1186/s13048-022-00989-z.
登录
查看更多内容
影响因子：
9.8
作者：
Chechia, Abdellatif;Attia, Leila;Koubaa, Abdelhamid
通讯作者：
Koubaa, Abdelhamid
影响因子：
4
作者：
Zhang, He;Zhang, Hongyu;Zhang, Guofu
通讯作者：
Zhang, Guofu
影响因子：
5.5
作者：
Shanbhogue, Alampady Krishna Prasad;Shanbhogue, Divyva Krishna Prasad;Menias, Christine O.
通讯作者：
Menias, Christine O.
影响因子：
2.6
作者：
Oh, S. N.;Rha, S. E.;Kim, M. R.
通讯作者：
Kim, M. R.
MRI 鉴别良恶性卵巢性索间质瘤的价值：强调弥散加权 MR 成像
影响因子：
4
作者：
Zhao SH;Li HM;Qiang JW;Wang DB;Fan H
通讯作者：
Fan H