Department of Radiology, Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Pediatrics, Chongqing, 400014, China.
BMC Med Imaging. 2024 Jan 5;24(1):13. doi: 10.1186/s12880-023-01184-2.
To investigate the role of CT radiomics in distinguishing Wilms tumor (WT) from clear cell sarcoma of the kidney (CCSK) in pediatric patients.
We retrospectively enrolled 83 cases of WT and 33 cases of CCSK. These cases were randomly stratified into a training set (n = 81) and a test set (n = 35). Several imaging features from the nephrographic phase were analyzed, including the maximum tumor diameter, the ratio of the maximum CT value of the tumor solid portion to the mean CT value of the contralateral renal vein (CTmax/CT renal vein), and the presence of dilated peritumoral cysts. Radiomics features from corticomedullary phase were extracted, selected, and subsequently integrated into a logistic regression model. We evaluated the model's performance using the area under the curve (AUC), 95% confidence interval (CI), and accuracy.
In the training set, there were statistically significant differences in the maximum tumor diameter (P = 0.021) and the presence of dilated peritumoral cysts (P = 0.005) between WT and CCSK, whereas in the test set, no statistically significant differences were observed (P > 0.05). The radiomics model, constructed using four radiomics features, demonstrated strong performance in the training set with an AUC of 0.889 (95% CI: 0.811-0.967) and an accuracy of 0.864. Upon evaluation using fivefold cross-validation in the training set, the AUC remained high at 0.863 (95% CI: 0.774-0.952), with an accuracy of 0.852. In the test set, the radiomics model achieved an AUC of 0.792 (95% CI: 0.616-0.968) and an accuracy of 0.857.
CT radiomics proves to be diagnostically valuable for distinguishing between WT and CCSK in pediatric cases.
探讨 CT 放射组学在鉴别儿童患者肾母细胞瘤(WT)和肾透明细胞肉瘤(CCSK)中的作用。
我们回顾性纳入 83 例 WT 和 33 例 CCSK 病例。这些病例被随机分为训练集(n=81)和测试集(n=35)。对肾实质期的多个影像学特征进行分析,包括最大肿瘤直径、肿瘤实性部分最大 CT 值与对侧肾静脉平均 CT 值的比值(CTmax/CTrenalvein)以及肿瘤周围扩张性囊肿的存在。提取皮质期的放射组学特征,进行选择并随后整合到逻辑回归模型中。我们使用曲线下面积(AUC)、95%置信区间(CI)和准确性来评估模型的性能。
在训练集中,WT 和 CCSK 之间的最大肿瘤直径(P=0.021)和肿瘤周围扩张性囊肿的存在(P=0.005)存在统计学显著差异,而在测试集中,差异无统计学意义(P>0.05)。使用四个放射组学特征构建的放射组学模型在训练集的表现良好,AUC 为 0.889(95%CI:0.811-0.967),准确性为 0.864。在训练集中使用五重交叉验证评估时,AUC 仍保持在 0.863(95%CI:0.774-0.952),准确性为 0.852。在测试集中,放射组学模型的 AUC 为 0.792(95%CI:0.616-0.968),准确性为 0.857。
CT 放射组学在鉴别儿童 WT 和 CCSK 中具有诊断价值。