A preliminary radiomics model for predicting perirenal fat invasion on renal cell carcinoma with contrast-enhanced CT images

被引:0
|
作者
Jia Liu
Zhiyong Lin
Kexin Wang
Dong Fang
Yaofeng Zhang
Xiangpeng Wang
Xiaodong Zhang
He Wang
Xiaoying Wang
机构
[1] Peking University First Hospital,Department of Radiology
[2] Capital Medical University,School of Basic Medical Sciences
[3] Peking University First Hospital,Department of Urology
[4] Beijing Smart Tree Medical Technology Co. Ltd,undefined
来源
Abdominal Radiology | 2023年 / 48卷
关键词
Carcinoma, Renal Cell; Nephrectomy; Neoplasm Invasiveness; Tomography, X-Ray Computed; Radiomics;
D O I
暂无
中图分类号
学科分类号
摘要
引用
收藏
页码:649 / 658
页数:9
相关论文
共 50 条
  • [41] Can lymphovascular invasion be predicted by contrast-enhanced CT imaging features in patients with esophageal squamous cell carcinoma? A preliminary retrospective study
    Yang Li
    Haiyan Su
    Li Yang
    Meng Yue
    Mingbo Wang
    Xiaolong Gu
    Lijuan Dai
    Xiangming Wang
    Xiaohua Su
    Andu Zhang
    Jialiang Ren
    Gaofeng Shi
    BMC Medical Imaging, 22
  • [42] Can lymphovascular invasion be predicted by contrast-enhanced CT imaging features in patients with esophageal squamous cell carcinoma? A preliminary retrospective study
    Li, Yang
    Su, Haiyan
    Yang, Li
    Yue, Meng
    Wang, Mingbo
    Gu, Xiaolong
    Dai, Lijuan
    Wang, Xiangming
    Su, Xiaohua
    Zhang, Andu
    Ren, Jialiang
    Shi, Gaofeng
    BMC MEDICAL IMAGING, 2022, 22 (01)
  • [43] Comparison of contrast-enhanced ultrasonography and contrast-enhanced computed tomography in the diagnosis of cystic renal cell carcinoma
    Yuan, Xinchun
    Zhou, Aiyun
    Chen, Li
    Xu, Pan
    Zhang, Cheng
    Zhang, Yan
    INTERNATIONAL JOURNAL OF CLINICAL AND EXPERIMENTAL MEDICINE, 2017, 10 (07): : 10820 - 10826
  • [44] A Combined Model Integrating Radiomics and Deep Learning Based on Contrast-Enhanced CT for Preoperative Staging of Laryngeal Carcinoma
    Chen, Xinwei
    Yu, Qiang
    Peng, Juan
    He, Zhiyang
    Li, Quanjiang
    Ning, Youquan
    Gu, Jinming
    Lv, Fajin
    Jiang, Huan
    Xie, Kai
    ACADEMIC RADIOLOGY, 2023, 30 (12) : 3022 - 3031
  • [45] Radiomics Model of Dynamic Contrast-Enhanced MRI for Evaluating Vessels Encapsulating Tumor Clusters and Microvascular Invasion in Hepatocellular Carcinoma
    Yang, Jiawen
    Dong, Xue
    Jin, Shengze
    Wang, Sheng
    Wang, Yanna
    Zhang, Limin
    Wei, Yuguo
    Wu, Yitian
    Wang, Lingxia
    Zhu, Lingwei
    Feng, Yuyi
    Gan, Meifu
    Hu, Hongjie
    Ji, Wenbin
    ACADEMIC RADIOLOGY, 2025, 32 (01) : 146 - 156
  • [46] Intratumoral and peritumoral radiomics using multi-phase contrast-enhanced CT for diagnosis of renal oncocytoma and chromophobe renal cell carcinoma: a multicenter retrospective study
    Ye, Yongsong
    Weng, Bei
    Guo, Yan
    Huang, Lesheng
    Xie, Shanghuang
    Zhong, Guimian
    Feng, Wenhui
    Lin, Wenxiang
    Song, Zhixuan
    Wang, Huanjun
    Liu, Tianzhu
    FRONTIERS IN ONCOLOGY, 2025, 15
  • [47] Follow-Up After Percutaneous Radiofrequency Ablation of Renal Cell Carcinoma: Contrast-Enhanced Sonography Versus Contrast-Enhanced CT or MRI
    Meloni, Maria Franca
    Bertolotto, Michele
    Alberzoni, Chiara
    Lazzaroni, Sergio
    Filice, Carlo
    Livraghi, Tito
    Ferraioli, Giovanna
    AMERICAN JOURNAL OF ROENTGENOLOGY, 2008, 191 (04) : 1233 - 1238
  • [48] Differentiation of subtypes of renal cell carcinoma with contrast-enhanced ultrasonography
    Xue, Li-Yun
    Lu, Qing
    Huang, Bei-Jian
    Li, Cui-Xian
    Yan, Li-Xia
    Wang, Wen-Ping
    CLINICAL HEMORHEOLOGY AND MICROCIRCULATION, 2016, 63 (04) : 361 - 371
  • [49] Contrast-enhanced ultrasound vs. triphasic helical CT in the diagnosis of renal cell carcinoma
    Hochmuth, A
    Reichelt, O
    Schubert, J
    Fleck, M
    Kaiser, WA
    RADIOLOGY, 1999, 213P : 398 - 398
  • [50] Radiomics analysis in predicting vascular invasion in gastric cancer based on enhanced CT: a preliminary study
    Chen, Zhicheng
    Zhang, Guangfeng
    Liu, Yi
    Zhu, Kexin
    BMC CANCER, 2024, 24 (01)