宫颈癌表观扩散系数的放射组学分析：组织学分级评估的初步研究。
Radiomics analysis of apparent diffusion coefficient in cervical cancer: A preliminary study on histological grade evaluation.
机构信息
Department of Radiology, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer; Key Laboratory of Cancer Prevention and Therapy, Tianjin, Tianjin's Clinical Research Center for Cancer, Tianjin, China.
School of Medical Imaging, Tianjin Medical University, Tianjin, China.
出版信息
J Magn Reson Imaging. 2019 Jan;49(1):280-290. doi: 10.1002/jmri.26192. Epub 2018 May 14.
BACKGROUND
The role of apparent diffusion coefficient (ADC)-based radiomics features in evaluating histopathological grade of cervical cancer is unresolved.
PURPOSE
To determine if there is a difference between radiomics features derived from center-slice 2D versus whole-tumor volumetric 3D for ADC measurements in patients with cervical cancer regarding tumor histopathological grade, and systematically assess the impact of the b value on radiomics analysis in ADC quantifications.
STUDY TYPE
Prospective.
SUBJECTS
In all, 160 patients with histopathologically confirmed squamous cell carcinoma of uterine cervix.
FIELD STRENGTH/SEQUENCE: Conventional and diffusion-weighted MR images (b values = 0, 800, 1000 s/mm ) were acquired on a 3.0T MR scanner.
ASSESSMENT
Regions of interest (ROIs) were drawn manually along the margin of tumor on each slice, and then the center slice of the tumor was selected with naked eyes in the course of whole-tumor segmentation. A total of 624 radiomics features were derived from T -weighted images and ADC maps. We randomly selected 50 cases and did the reproducibility analysis.
STATISTICAL TESTS
Parameters were compared using Wilcoxon signed rank test, Bland-Altman analysis, t-test, and least absolute shrinkage and selection operator (LASSO) regression with crossvalidation.
RESULTS
In all, 95 radiomics features were insensitive to ROI variation among T images, ADC map of b800, and ADC map of b1000 (P > 0.0002). There was a significant statistical difference between the performances of 2D center-slice and 3D whole-tumor radiomics models in both ADC feature sets of b800 and b1000 (P < 0.0001, P < 0.0001). Compared with ADC features of b800 (0.3758 ± 0.0118), the model of b1000 ADC features appeared to be slightly lower in overall misclassification error (0.3642 ± 0.0162) (P = 0.0076).
DATA CONCLUSION
Several radiomics features extracted from T images and ADC maps were highly reproducible. Whole-tumor volumetric 3D radiomics analysis had a better performance than using the 2D center-slice of tumor in stratifying the histological grade of cervical cancer. A b value of 1000 s/mm is suggested as the optimal parameter in pelvic DWI scans.
LEVEL OF EVIDENCE
1 Technical Efficacy: Stage 1 J. Magn. Reson. Imaging 2019;49:280-290.
背景
基于表观扩散系数（ADC）的放射组学特征在评估宫颈癌组织学分级中的作用尚未明确。
目的
确定在宫颈癌患者中，基于 ADC 测量的中心层面 2D 与全肿瘤容积 3D 的放射组学特征在肿瘤组织学分级方面是否存在差异，并系统评估 b 值对 ADC 定量中放射组学分析的影响。
研究类型
前瞻性。
受试者
共 160 例经组织病理学证实的子宫颈鳞癌患者。
磁场强度/序列：在 3.0T MR 扫描仪上采集常规和扩散加权 MR 图像（b 值=0、800、1000 s/mm ）。
评估
在每一层图像上手动勾画肿瘤边界的感兴趣区（ROI），然后在全肿瘤分割过程中用肉眼选择肿瘤的中心层面。从 T1 加权图像和 ADC 图中提取了总共 624 个放射组学特征。我们随机选择了 50 例进行可重复性分析。
统计学检验
使用 Wilcoxon 符号秩检验、Bland-Altman 分析、t 检验和最小绝对收缩和选择算子（LASSO）交叉验证回归比较参数。
结果
在 T 图像、b800 ADC 图和 b1000 ADC 图中，共有 95 个放射组学特征对 ROI 变化不敏感（P>0.0002）。在 b800 和 b1000 的 ADC 特征集中，2D 中心层面和 3D 全肿瘤放射组学模型的性能均存在显著的统计学差异（P<0.0001，P<0.0001）。与 b800 的 ADC 特征（0.3758±0.0118）相比，b1000 ADC 特征的模型在总体错误分类误差方面似乎略低（0.3642±0.0162）（P=0.0076）。
数据结论
从 T 图像和 ADC 图中提取的几个放射组学特征具有高度可重复性。在对宫颈癌进行组织学分级分层时，全肿瘤容积 3D 放射组学分析的性能优于使用肿瘤的 2D 中心层面。建议在盆腔 DWI 扫描中使用 1000 s/mm 的 b 值作为最佳参数。
证据水平
1 技术功效：阶段 1 J. Magn. Reson. Imaging 2019;49:280-290.
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