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Abstract：
UNASSIGNED: To evaluate the diagnostic performance of conventional magnetic resonance imaging (cMRI) combined with diffusion-weighted MRI (DWI) in discrimination of cellular leiomyoma, uterine sarcoma, and atypical leiomyoma.
UNASSIGNED: This retrospective study enrolled 106 patients with uterine masses, including 51 cellular leiomyomas (CLs), 32 uterine sarcomas (USs) and 23 degenerated leiomyomas (LMs) confirmed by histopathologic examination. Clinical data and imaging findings were assessed. Chi-squared test for qualitative variables and one way ANOVA analysis for quantitative variables were performed. Logistic regression analysis and the receiver operating characteristic (ROC) analysis were performed to determine the cut-off point and diagnostic performances for significant numeric values or multiple models.
UNASSIGNED: Morphology (Odds ratio [OR] = 6.36) and margin (OR = 13.84) derived from cMRI were independent indicators for differentiating CLs from USs, and T2WI signal (OR = 0.23) were an independent indicator for differentiating CLs from degenerated LMs (all P < 0.05). The cutoff value of apparent diffusion coefficient (ADC) derived from DWI for differentiating CLs from USs was 839 ×10-6 mm2/sec and was 1239 ×10-6 mm2/sec for differentiating CLs from degenerated LMs. Compared with the use of cMRI features and ADC value alone, combination of independent indicators and ADC value achieved higher AUCs for both differentiations (all P < 0.05).
UNASSIGNED: cMRI is a reliable tool for differentiating CLs from USs and atypical leiomyoma, especially degenerated LMs. The combined use of cMRI and DWI can improve the differential diagnostic performance.
UNASSIGNED: This retrospective study enrolled 106 patients with uterine masses, including 51 cellular leiomyomas (CLs), 32 uterine sarcomas (USs) and 23 degenerated leiomyomas (LMs) confirmed by histopathologic examination. Clinical data and imaging findings were assessed. Chi-squared test for qualitative variables and one way ANOVA analysis for quantitative variables were performed. Logistic regression analysis and the receiver operating characteristic (ROC) analysis were performed to determine the cut-off point and diagnostic performances for significant numeric values or multiple models.
UNASSIGNED: Morphology (Odds ratio [OR] = 6.36) and margin (OR = 13.84) derived from cMRI were independent indicators for differentiating CLs from USs, and T2WI signal (OR = 0.23) were an independent indicator for differentiating CLs from degenerated LMs (all P < 0.05). The cutoff value of apparent diffusion coefficient (ADC) derived from DWI for differentiating CLs from USs was 839 ×10-6 mm2/sec and was 1239 ×10-6 mm2/sec for differentiating CLs from degenerated LMs. Compared with the use of cMRI features and ADC value alone, combination of independent indicators and ADC value achieved higher AUCs for both differentiations (all P < 0.05).
UNASSIGNED: cMRI is a reliable tool for differentiating CLs from USs and atypical leiomyoma, especially degenerated LMs. The combined use of cMRI and DWI can improve the differential diagnostic performance.
摘要：
未经评估：为了评估常规磁共振成像（cMRI）结合弥散加权MRI（DWI）在区分细胞平滑肌瘤中的诊断性能，子宫肉瘤,和非典型平滑肌瘤.
UNASSIGNED：这项回顾性研究纳入了106例子宫肿块患者，包括51个细胞平滑肌瘤（CLs），组织病理学检查证实32例子宫肉瘤（USs）和23例变性平滑肌瘤（LM）。评估临床数据和影像学发现。对定性变量进行卡方检验，对定量变量进行单因素方差分析。进行了Logistic回归分析和接收器工作特性（ROC）分析，以确定重要数值或多个模型的截止点和诊断性能。
UNASSIGNED：来自cMRI的形态学（赔率比[OR]=6.36）和边缘（OR=13.84）是区分CLs和USs的独立指标，和T2WI信号（OR=0.23）是区分CLs和退化LM的独立指标（均P<0.05）。从DWI得出的用于区分CLs与USs的表观扩散系数（ADC）的截止值为839×10-6mm2/sec，用于区分CLs与退化LM的截止值为1239×10-6mm2/sec。与单独使用cMRI特征和ADC值相比，独立指标和ADC值的组合在两个差异中获得了更高的AUC（所有P<0.05）。
UNASSIGNED：cMRI是区分CLs与USS和非典型平滑肌瘤的可靠工具，尤其是退化LMs。cMRI和DWI的联合使用可以提高鉴别诊断性能。
UNASSIGNED：这项回顾性研究纳入了106例子宫肿块患者，包括51个细胞平滑肌瘤（CLs），组织病理学检查证实32例子宫肉瘤（USs）和23例变性平滑肌瘤（LM）。评估临床数据和影像学发现。对定性变量进行卡方检验，对定量变量进行单因素方差分析。进行了Logistic回归分析和接收器工作特性（ROC）分析，以确定重要数值或多个模型的截止点和诊断性能。
UNASSIGNED：来自cMRI的形态学（赔率比[OR]=6.36）和边缘（OR=13.84）是区分CLs和USs的独立指标，和T2WI信号（OR=0.23）是区分CLs和退化LM的独立指标（均P<0.05）。从DWI得出的用于区分CLs与USs的表观扩散系数（ADC）的截止值为839×10-6mm2/sec，用于区分CLs与退化LM的截止值为1239×10-6mm2/sec。与单独使用cMRI特征和ADC值相比，独立指标和ADC值的组合在两个差异中获得了更高的AUC（所有P<0.05）。
UNASSIGNED：cMRI是区分CLs与USS和非典型平滑肌瘤的可靠工具，尤其是退化LMs。cMRI和DWI的联合使用可以提高鉴别诊断性能。
