The Clinical Value of Apparent Diffusion Coefficient of Readout Segmentation of Long Variable Echo Trains and Correlation With Ki-67 Expression in Distal Rectal Cancer

医学 有效扩散系数 结直肠癌 磁共振成像 相关性 磁共振弥散成像 病态的 核医学 腺癌 回波平面成像 癌症 成像生物标志物 放射科 病理 内科学 数学 几何学
作者
Yuning Pan,Meng-Yin Gu,Quanliang Mao,Huiying Wang,Yichuan Liang,Lin Zhang,Guangyu Tang
出处
期刊:Journal of Computer Assisted Tomography [Ovid Technologies (Wolters Kluwer)]
卷期号:48 (3): 361-369 被引量:2
标识
DOI:10.1097/rct.0000000000001573
摘要

Objective The aim of the study is to explore the clinical value of the apparent diffusion coefficient (ADC) derived from the readout segmentation of long variable echo trains (RESOLVE) technique for identifying clinicopathologic features of distal rectal cancer and correlations between ADC and Ki-67 expression. Methods The data of 112 patients with a proven pathology of distal rectal cancer who underwent preoperative magnetic resonance imaging were retrospectively analyzed. The mean ADC value was measured using the “full-layer and center” method. Differences in ADC values and Ki-67 expression in different clinical stages, pathological types, and tumor differentiation were compared using analysis of variance. Correlations between ADC value and clinicopathologic features were assessed using Spearman correlation analysis. Results Interobserver agreement of confidence levels from 2 radiologists was excellent for ADC measurement ( k = 0.85). Patients with a lower clinical stage, well-differentiated adenocarcinomas, and a higher possibility of mucinous adenocarcinoma exhibited a positive correlation with higher ADC values, but these factors were negatively correlated with Ki-67 expression (all P < 0.05). We found that ADC value was negatively correlated with Ki-67 expression ( r = −0.62, P < 0.001). Conclusions The ADC value generated by RESOLVE sequences was significantly associated with clinicopathologic features and Ki-67 expression in patients with distal rectal cancer in this study. Thus, the ADC value could be considered a new noninvasive imaging biomarker that could be helpful in predicting the biological properties of distal rectal cancer.
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