Amide Proton Transfer‐Weighted Imaging Combined With Intravoxel Incoherent Motion for Evaluating Microsatellite Instability in Endometrial Cancer

有效扩散系数 接收机工作特性 盒内非相干运动 曼惠特尼U检验 微卫星不稳定性 核医学 子宫内膜癌 医学 内科学 磁共振成像 癌症 生物 微卫星 放射科 遗传学 等位基因 基因
作者
Changjun Ma,Shifeng Tian,Qingling Song,Lihua Chen,Xing Meng,Nan Wang,Liangjie Lin,Jiazheng Wang,Ailian Liu,Qingwei Song
出处
期刊:Journal of Magnetic Resonance Imaging [Wiley]
卷期号:57 (2): 493-505 被引量:20
标识
DOI:10.1002/jmri.28287
摘要

Background Microsatellite instability (MSI), caused by mismatch repair (MMR) protein defects that lead to uncorrectable mismatch bases, results in the accumulation of gene mutations and ultimately to tumors. Preoperative prediction of MSI can provide a basis for personalized and precise treatment of endometrial cancer (EC) patients. Purpose To investigate amide proton transfer weighting (APTw) imaging combined with intravoxel incoherent motion (IVIM) in the assessment of MSI in EC. Study Type Retrospective. Population A total of 71 patients with EC (12 classified as the MSI group and 22 as the microsatellite stabilization [MSS] group after entering and leaving the group standard). Field Strength/Sequence A 3.0 T/IVIM, diffusion‐weighted imaging ( DWI ) and APTw . Assessment Amide proton transfer (APT) value, apparent diffusion coefficient (ADC), pure diffusion coefficient ( D ), pseudo diffusion coefficient ( D *), and perfusion fraction ( f ) were calculated and compared between MSI and MSS groups. Statistical Tests The Kendall's W test; Mann–Whitney U‐test; Chi‐square test or Fisher's exact test; logistic regression analysis; Area under the receiver operating characteristic (ROC) curve (AUC); The Delong test; Pearson or Spearman correlation coefficients. The significance threshold was set at P < 0.05. Results APT and D * values of the MSI group were significantly higher than those of the MSS group. While ADC, D , and f values in the MSI group were significantly lower than those in the MSS group. The multivariate analysis revealed that only APT and D * values were independent predictors to evaluate the MSI status. And the ROC curves indicated that the combination of APT and D * values could distinguish the MSI status of EC with the highest diagnostic efficacy (AUC = 0.973), even without significant difference to those by APT (AUC = 0.894) or D * (AUC = 0.920) value separately ( P = 0.149 and 0.078, respectively). Conclusion Combination of APTw and IVIM imaging may serve as an effective noninvasive method for clinical assessment of MSI in EC. Evidence Level 3 Technical Efficacy Stage 2
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