淋巴血管侵犯
无线电技术
医学
放射科
癌症
计算机断层摄影术
多探测器计算机断层扫描
肿瘤科
内科学
转移
作者
Ping Wang,Kaige Chen,Ying Han,Min Zhao,Abiyasi Nanding,Haiyong Peng,Shaolei Yan,Jiming Shang,Naijian Shang,Wei Meng
出处
期刊:Future Oncology
[Future Medicine]
日期:2023-07-01
卷期号:19 (23): 1613-1626
被引量:1
标识
DOI:10.2217/fon-2022-1025
摘要
Background: We explored whether a model based on contrast-enhanced computed tomography radiomics features and clinicopathological factors can evaluate preoperative lymphovascular invasion (LVI) in patients with gastric cancer (GC) with Lauren classification. Methods: Based on clinical and radiomic characteristics, we established three models: Clinical + Arterial phase_Radcore, Clinical + Venous phase_Radcore and a combined model. The relationship between Lauren classification and LVI was analyzed using a histogram. Results: We retrospectively analyzed 495 patients with GC. The areas under the curve of the combined model were 0.8629 and 0.8343 in the training and testing datasets, respectively. The combined model showed a superior performance to the other models. Conclusion: CECT-based radiomics models can effectively predict preoperative LVI in GC patients with Lauren classification.
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