Wei Wei, Wang Ke, Tian Kaibing, Liu Zhenyu, Wang Liang, Zhang Junting, Tang Zhenchao, Wang Shuo, Dong Di, Zang Yali, Gao Yuan, Wu Zhen, Tian Jie
Annu Int Conf IEEE Eng Med Biol Soc. 2018 Jul;2018:139-142. doi: 10.1109/EMBC.2018.8512207.
Chordoma is a rare primary malignant tumor. For evaluating the related factors of postoperative recurrence probability of chordoma before surgery, we retrospective collected 80 patients to analyze by using a novel radiomics method. A total of 620 3D imaging features used for radiomics analysis were extracted, and 5 features were selected from T2-weighted (T2-w) magnetic resonance imaging (MRI) that were most strongly associated with 4-year recurrence probability to build a radiomics signature. Verification by logistic regression classification model, the area under the receiver operating characteristic curve and accuracy was 0.8600 (95% CI: 0.7226-0.9824) and 85.00% in the training cohort, respectively, while in the validation cohort was 0.8568 (95% CI: 0.7327-0.9758) and 85.00%. Experimental results show that T2-w MRI-based radiomics signature is closely associated with the recurrence of chordoma. It is possible to prejudge the recurrence of chordoma before surgery.
脊索瘤是一种罕见的原发性恶性肿瘤。为了在术前评估脊索瘤术后复发概率的相关因素，我们回顾性收集了80例患者，采用一种新的放射组学方法进行分析。共提取了620个用于放射组学分析的三维成像特征，并从T2加权（T2-w）磁共振成像（MRI）中选择了5个与4年复发概率相关性最强的特征来构建放射组学特征模型。通过逻辑回归分类模型验证，训练队列中受试者工作特征曲线下面积和准确率分别为0.8600（95%CI：0.7226-0.9824）和85.00%，而在验证队列中分别为0.8568（95%CI：0.7327-0.9758）和85.00%。实验结果表明，基于T2-w MRI的放射组学特征模型与脊索瘤的复发密切相关。术前有可能预判脊索瘤的复发情况。
