Deep learning-assisted magnetic resonance imaging prediction of tumor response to chemotherapy in patients with colorectal liver metastases
Deep learning-assisted magnetic resonance imaging prediction of tumor response to chemotherapy in patients with colorectal liver metastases
复制标题
深度学习辅助磁共振成像预测结直肠肝转移患者肿瘤对化疗的反应
DOI：
10.1002/ijc.33427
复制
发表时间：
2020-12-29
影响因子：
6.4
通讯作者：
Sun, Ying-Shi
中科院分区：
文献类型：
--
作者：
Zhu, Hai-Bin;Xu, Da;Sun, Ying-Shi
准确评估肿瘤对术前化疗的反应对于选择合适的结肠肝转移（CRLM）患者进行手术或保守治疗至关重要。然而，在手术前没有公认的预测病理反应的方法。我们的研究构建并验证了一种使用化疗前和化疗后磁共振成像（MRI）预测CRLM病理反应的深度学习算法。中心1的CRLM患者
Accurate evaluation of tumor response to preoperative chemotherapy is crucial for assigning appropriate patients with colorectal liver metastases (CRLM) to surgery or conservative therapy. However, there is no well-recognized method for predicting pathological response before surgery. Our study constructed and validated a deep learning algorithm using prechemotherapy and postchemotherapy magnetic resonance imaging (MRI) to predict pathological response in CRLM. CRLM patients from center one who had