Intravoxel Incoherent Motion Diffusion-weighted Magnetic Resonance Imaging combined with Texture Analysis in Predicting the Histological Grades of Rectal Adenocarcinoma.

IF 1.1 4区 医学 Q3 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING
Fei Gao, Jie Zhou, Wuteng Cao, Jiaying Gong, Peipei Wang, Chuanbin Wang, Xin Fang, Zhiyang Zhou
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引用次数: 0

Abstract

Purpose: To evaluate the predictive value of 3.0T MRI Intravoxel Incoherent motion diffusion-weighted magnetic resonance imaging (IVIM-DWI) combined with texture analysis (TA) in the histological grade of rectal adenocarcinoma.

Methods: Seventy-one patients with rectal adenocarcinoma confirmed by pathology after surgical resection were collected retrospectively. According to pathology, they were divided into a poorly differentiated group (n=23) and a moderately differentiated group (n=48). The IVIM-DWI parameters and TA characteristics of the two groups were compared, and a prediction model was constructed by multivariate logistic regression analysis. ROC curves were plotted for each individual and combined parameter.

Results: There were statistically significant differences in D and D* values between the two groups (P < 0.05). The three texture parameters SmallAreaEmphasis, Median, and Maximum had statistically significant differences between groups (P = 0.01, 0.004, 0.009, respectively). The logistic regression prediction model showed that D*, the median, and the maximum value were significant independent predictors, and the AUC of the regression prediction model was 0.860, which was significantly higher than other single parameters.

Conclusion: 3.0T MRI IVIM-DWI parameters combined with TA can provide valuable information for predicting the histological grades of rectal adenocarcinoma one week before the operation.

体细胞内相干运动弥散加权磁共振成像结合纹理分析预测直肠腺癌的组织学分级
目的:评估 3.0T MRI 体内相干运动弥散加权磁共振成像(IVIM-DWI)结合纹理分析(TA)对直肠腺癌组织学分级的预测价值:回顾性收集了71例经手术切除后病理证实的直肠腺癌患者。根据病理结果,他们被分为分化较差组(23 人)和中度分化组(48 人)。比较两组的 IVIM-DWI 参数和 TA 特征,并通过多变量逻辑回归分析建立预测模型。绘制了各单项参数和综合参数的ROC曲线:两组的 D 值和 D* 值差异有统计学意义(P < 0.05)。三个纹理参数 SmallAreaEmphasis、Median 和 Maximum 在组间差异有统计学意义(P = 0.01、0.004、0.009)。逻辑回归预测模型显示,D*、中值和最大值是显著的独立预测因子,回归预测模型的AUC为0.860,明显高于其他单一参数。结论:3.0T MRI IVIM-DWI参数与TA相结合,可为手术前一周预测直肠腺癌组织学分级提供有价值的信息。
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来源期刊
CiteScore
2.60
自引率
0.00%
发文量
246
审稿时长
1 months
期刊介绍: Current Medical Imaging Reviews publishes frontier review articles, original research articles, drug clinical trial studies and guest edited thematic issues on all the latest advances on medical imaging dedicated to clinical research. All relevant areas are covered by the journal, including advances in the diagnosis, instrumentation and therapeutic applications related to all modern medical imaging techniques. The journal is essential reading for all clinicians and researchers involved in medical imaging and diagnosis.
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