Shifeng Tian, Yue Wang, Wen Zhu, Lihua Chen, Nan Wang, Liangjie Lin, Ailian Liu
Department of Radiology, the First Affiliated Hospital of Dalian Medical University, Dalian, China.
Department of Pathology, the First Affiliated Hospital of Dalian Medical University, Dalian, China.
Acta Radiol. 2023 Nov;64(11):2948-2956. doi: 10.1177/02841851231198911. Epub 2023 Sep 3.
Endometrial carcinoma (EC) is the sixth most common cancer in women. P53 gene expression in patients with endometrial cancer can predict the efficacy and prognosis of patients with neoadjuvant therapy.
To explore the value of multimodal magnetic resonance imaging (MRI) in differentiating p53 abnormal (p53abn) from p53 wild-type (p53wt) EC.
Data from 47 EC patients, including 14 p53abn cases and 33 p53wt cases, were retrospectively analyzed. The preoperative MRI sequences included amide proton transfer weighted (APTw) imaging, T2 mapping, mDIXON-Quant imaging and diffusion-weighted imaging (DWI). After post-processing, APT, T2, transverse relaxation rate (R2*), fat fraction (FF) and apparent diffusion coefficient (ADC) maps were obtained. The APT, T2, R2*, FF and ADC values for lesions of the two groups of cases were measured by two observers who were blind to the pathological data.
The APT value and R2* value in the p53abn group were higher than those in the p53wt group, while the ADC value was lower (all < 0.05). There was no statistically significant difference in T2 value and FF value between the two groups (all > 0.05). The area under curve of APT, R2*, ADC and combined APT + R2*+ADC values for identification of p53abn and p53wt EC were 0.739, 0.689, 0.718 and 0.820, respectively (all > 0.05).
APTw, mDIXON-Quant and DWI techniques can be usedfor quantitative identification of p53abn and p53wt EC. The multimodal MRI provides a new way for preoperative quantitative evaluation of EC molecular typing, which has certain clinical application value.
子宫内膜癌(EC)是女性中第六大常见癌症。子宫内膜癌患者的p53基因表达可预测新辅助治疗患者的疗效和预后。
探讨多模态磁共振成像(MRI)在鉴别p53异常(p53abn)与p53野生型(p53wt)子宫内膜癌中的价值。
回顾性分析47例子宫内膜癌患者的数据,其中包括14例p53abn病例和33例p53wt病例。术前MRI序列包括酰胺质子转移加权(APTw)成像、T2映射、mDIXON-Quant成像和扩散加权成像(DWI)。后处理后,获得APT、T2、横向弛豫率(R2*)、脂肪分数(FF)和表观扩散系数(ADC)图。由两位对病理数据不知情的观察者测量两组病例病变的APT、T2、R2*、FF和ADC值。
p53abn组的APT值和R2值高于p53wt组,而ADC值较低(均<0.05)。两组之间的T2值和FF值无统计学显著差异(均>0.05)。用于鉴别p53abn和p53wt子宫内膜癌的APT、R2、ADC以及联合APT+R2*+ADC值的曲线下面积分别为0.739、0.689、0.718和0.820(均>0.05)。
APTw、mDIXON-Quant和DWI技术可用于p53abn和p53wt子宫内膜癌的定量鉴别。多模态MRI为子宫内膜癌分子分型的术前定量评估提供了一种新方法,具有一定的临床应用价值。