Department of Radiology, First Affiliated Hospital of Nanjing Medical University, Nanjing, P.R. China.
GE Healthcare, Shanghai, P.R. China.
J Magn Reson Imaging. 2018 May;47(5):1298-1305. doi: 10.1002/jmri.25859. Epub 2017 Sep 18.
Previous studies indicated that dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) could serve as a useful biomarker for differentiating malignant from benign orbital lymphoproliferative disorders (OLPDs).
To investigate the influence of different region of interest (ROI) selection methods on the measurements of DCE-MRI parameters, and their diagnostic ability in discriminating malignant from benign OLPDs.
Retrospective study.
In all, 46 patients with OLPDs (22 benign and 24 malignant).
FIELD STRENGTH/SEQUENCE: 3.T DCE-MRI using a 2D turbo fast low angle shot sequence postcontrast.
DCE-MRI data were analyzed using three different ROI selection methods, including whole-tumor ROI (ROI ), single-slice ROI (ROI ) and hot-spot ROI (ROI ). Quantitative parameters (K , K , V ) were calculated based on a modified Tofts model.
Analysis of variance test, intraclass correlation coefficient (ICC), Bland-Altman plots, independent t-test, and receiver operating characteristic curve analyses were used for statistical analyses.
The time required for outlining ROI was significantly longer than ROI and ROI (P < 0.001). The measurements of DCE-MRI-derived parameters based on ROI demonstrated lowest ICC, followed by ROI and ROI . Malignant OLPDs showed significantly higher K than benign mimics (P < 0.001), while no significant differences were found on K (ROI , P = 0.535; ROI , P = 0.557; ROI , P = 0.400) and V (ROI , P = 0.071; ROI , P = 0.079; ROI , P = 0.057). K -ROI showed the highest area under curve for differentiating malignant from benign OLPDs, followed by K -ROI , and Kep-ROI ; however, the differences were not significant (ROI vs. ROI , P = 0.407; ROI vs. ROI , P = 0.363; ROI vs. ROI , P = 0.887).
ROI selection methods could have an influence on the measurements of DCE-MRI parameters. Taking measurement time, reproducibility, and diagnostic ability into account, we suggest single-slice ROI to be used for differentiating malignant from benign OLPDs in clinical practice.
3 Technical Efficacy: Stage 2 J. Magn. Reson. Imaging 2018;47:1298-1305.
先前的研究表明,动态对比增强磁共振成像(DCE-MRI)可作为区分良恶性眼眶淋巴增生性疾病(OLPD)的有用生物标志物。
研究不同感兴趣区(ROI)选择方法对 DCE-MRI 参数测量的影响,及其在鉴别良恶性 OLPD 中的诊断能力。
回顾性研究。
共 46 例 OLPD 患者(22 例良性,24 例恶性)。
磁场强度/序列:使用二维涡轮快速小角度激发序列对增强后进行 3.0T DCE-MRI 扫描。
使用三种不同 ROI 选择方法(全肿瘤 ROI[ROI]、单层面 ROI[ROI]和热点 ROI[ROI])对 DCE-MRI 数据进行分析。基于改良的 Tofts 模型计算定量参数(Ktrans、Kep、Ve)。
采用方差分析、组内相关系数(ICC)、Bland-Altman 图、独立 t 检验和受试者工作特征曲线分析进行统计学分析。
ROI 勾画所需的时间明显长于 ROI 和 ROI(P<0.001)。基于 ROI 的 DCE-MRI 衍生参数测量的 ICC 最低,其次是 ROI 和 ROI。恶性 OLPD 的 Ktrans 值明显高于良性病变(P<0.001),而 Kep 值(ROI,P=0.535;ROI,P=0.557;ROI,P=0.400)和 Ve 值(ROI,P=0.071;ROI,P=0.079;ROI,P=0.057)无显著差异。Ktrans-ROI 鉴别良恶性 OLPD 的曲线下面积最高,其次是 Ktrans-ROI 和 Kep-ROI,但差异无统计学意义(ROI 与 ROI,P=0.407;ROI 与 ROI,P=0.363;ROI 与 ROI,P=0.887)。
ROI 选择方法可能会影响 DCE-MRI 参数的测量。综合考虑测量时间、可重复性和诊断能力,我们建议在临床实践中使用单层面 ROI 来区分良恶性 OLPD。
3 级 磁共振成像技术的功效评估:2 期 J. Magn. Reson. Imaging 2018;47:1298-1305.