The Predictive Value of Radiomics Based Nomogram Model for
Lymphatic Vascular Space Infiltration of Endometrial Carcinoma
CUI Yujie1,ZHENG Tao1,YANG Linsha1,SHI Qinglei2,LIU Lanxiang1,LIU Defeng1
1. Medical Imaging Center, First Hospital of Qinhuangdao, Qinhuangdao Hebei 066000, China丨
2. Magnetic Resonance Products Division, Siemens LTD, Beijing 100000, China
Abstract:Objective Based on the Apparent Diffusion Coefficient (ADC), establish an imaging nomogram model and predict
the Lymph Vascular Space Invasion,LVSI of endometrial cancer. Methods This retrospective study included 225 Endometrial
Cancer,EC patients confirmed by postoperative pathology, including 93 cases of LVSI (+). After extracting radiomics parameters
from ADC, LASSO regression was applied for parameters selection and then the radscore was calculated. Logistic regression was
used to establish a nomogram model (ModelN) for comparison with a clinical model (ModelC) consisting of age, CA125, and tumor
volume. Calibration Curve was used to test the goodness of fit of ModelC. Results Using ModelC to predict the LVSI (+) of EC was
limited in both the cohort area under the curve (AUC: 0.760丨 95% confidence interval (CI): 0.675~0.823 and test cohorts (AUC: 0.825丨
95% CI: 0.718~0.904). A total of three omics features were screened out that were most closely related to LVSI. ModelN, established
based on the combination of RadScore, showed the better level of predictive ability in both the training (AUC: 0.907 95% CI:
0.851~0.940) and test cohorts (AUC: 0.922丨 95% CI: 0.827~0.964). In comparison with ModelC, the discrimination ability of ModelN
showed improvement (Delong test, training cohorts: P<0.0001 and test cohorts: P=0.035). Calibration curves suggested a good fit for
probability (Hosmer–Lemeshow test, P=0.102 and P=0.287 for the training and test cohorts, respectively). Conclusion ADC-based
radiomics model can predict LVSI of EC preoperatively.
崔玉杰1,郑涛1,杨林沙1,石清磊2,刘兰祥1,刘德丰1. 影像组学为基础的列线图模型对子宫内膜癌淋巴血管间隙浸润的诊断价值[J]. 中国医疗设备, 2021, 36(5): 85-90.
CUI Yujie1,ZHENG Tao1,YANG Linsha1,SHI Qinglei2,LIU Lanxiang1,LIU Defeng1. The Predictive Value of Radiomics Based Nomogram Model for
Lymphatic Vascular Space Infiltration of Endometrial Carcinoma. China Medical Devices, 2021, 36(5): 85-90.