Decoding Intratumoral Heterogeneity: Clinical Potential of Habitat Imaging based on Radiomics Response

被引:0
|
作者
Shi, Zhenwei
Han, Chu
Liang, Changhong
Liu, Zaiyi [1 ]
机构
[1] Southern Med Univ, Guangdong Prov Peoples Hosp, Guangdong Acad Med Sci, Dept Radiol, 106 Zhongshan Er Rd, Guangzhou 510080, Peoples R China
基金
中国国家自然科学基金;
关键词
D O I
暂无
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
1002 ; 100207 ; 1009 ;
摘要
引用
收藏
页数:2
相关论文
共 50 条
  • [41] Comparison of Intratumoral and Peritumoral Deep Learning, Radiomics, and Fusion Models for Predicting KRAS Gene Mutations in Rectal Cancer Based on Endorectal Ultrasound Imaging
    Gan, Yajiao
    Hu, Qiping
    Shen, Qingling
    Lin, Peng
    Qian, Qingfu
    Zhuo, Minling
    Xue, Ensheng
    Chen, Zhikui
    ANNALS OF SURGICAL ONCOLOGY, 2025, 32 (04) : 3019 - 3030
  • [42] Prediction of meningioma grade by constructing a clinical radiomics model nomogram based on magnetic resonance imaging
    Han, Tao
    Liu, Xianwang
    Long, Changyou
    Xu, Zhendong
    Geng, Yayuan
    Zhang, Bin
    Deng, Liangna
    Jing, Mengyuan
    Zhou, Junlin
    MAGNETIC RESONANCE IMAGING, 2023, 104 : 16 - 22
  • [43] Habitat-based radiomics analysis for evaluating immediate response in colorectal cancer lung metastases treated by radiofrequency ablation
    Huang, Haozhe
    Chen, Hong
    Zheng, Dezhong
    Chen, Chao
    Wang, Ying
    Xu, Lichao
    Wang, Yaohui
    He, Xinhong
    Yang, Yuanyuan
    Li, Wentao
    CANCER IMAGING, 2024, 24 (01)
  • [44] Habitat-based radiomics analysis for evaluating immediate response in colorectal cancer lung metastases treated by radiofrequency ablation
    Haozhe Huang
    Hong Chen
    Dezhong Zheng
    Chao Chen
    Ying Wang
    Lichao Xu
    Yaohui Wang
    Xinhong He
    Yuanyuan Yang
    Wentao Li
    Cancer Imaging, 24
  • [45] Clinical and Magnetic Resonance Imaging Radiomics-Based Survival Prediction in Glioblastoma Using Multiparametric Magnetic Resonance Imaging
    Bathla, Girish
    Soni, Neetu
    Ward, Caitlin
    Maheshwarappa, Ravishankar Pillenahalli
    Agarwal, Amit
    Priya, Sarv
    JOURNAL OF COMPUTER ASSISTED TOMOGRAPHY, 2023, 47 (06) : 919 - 923
  • [46] Radiomics of Tumor Heterogeneity in Longitudinal Dynamic Contrast-Enhanced Magnetic Resonance Imaging for Predicting Response to Neoadjuvant Chemotherapy in Breast Cancer
    Fan, Ming
    Chen, Hang
    You, Chao
    Liu, Li
    Gu, Yajia
    Peng, Weijun
    Gao, Xin
    Li, Lihua
    FRONTIERS IN MOLECULAR BIOSCIENCES, 2021, 8
  • [47] Prediction of Response of Hepatocellular Carcinoma to Radioembolization: Machine Learning Using Preprocedural Clinical Factors and MR Imaging Radiomics
    Ince, Okan
    Onder, Hakan
    Gencturk, Mehmet
    Cebeci, Hakan
    Golzarian, Jafar
    Young, Shamar
    JOURNAL OF VASCULAR AND INTERVENTIONAL RADIOLOGY, 2023, 34 (02) : 235 - 243.e3
  • [48] Intratumoral and peritumoral radiomics for the pretreatment prediction of pathological complete response to neoadjuvant chemotherapy based on breast DCE-MRI (vol, 19, 2017)
    Braman, Nathaniel M.
    Etesami, Maryam
    Prasanna, Prateek
    Dubchuk, Christina
    Gilmore, Hannah
    Tiwari, Pallavi
    Plecha, Donna
    Madabhushi, Anant
    BREAST CANCER RESEARCH, 2017, 19
  • [49] Cluster-based radiomics reveal spatial heterogeneity of bevacizumab response for treatment of radiotherapy-induced cerebral necrosis
    Tan, Hong Qi
    Cai, Jinhua
    Tay, Shi Hui
    Sim, Adelene Y. L.
    Huang, Luo
    Chua, Melvin L. K.
    Tang, Yamei
    COMPUTATIONAL AND STRUCTURAL BIOTECHNOLOGY JOURNAL, 2024, 23 : 43 - 51
  • [50] Clinical study on the prediction of ALN metastasis based on intratumoral and peritumoral DCE-MRI radiomics and clinico-radiological characteristics in breast cancer
    Wang, Yunxia
    Shang, Yiyan
    Guo, Yaxin
    Hai, Menglu
    Gao, Yang
    Wu, Qingxia
    Li, Shunian
    Liao, Jun
    Sun, Xiaojuan
    Wu, Yaping
    Wang, Meiyun
    Tan, Hongna
    FRONTIERS IN ONCOLOGY, 2024, 14