Showing 1 - 10 results of 10 for search '"Cancer Imaging"', query time: 0.04s Refine Results
  1. 1
    Comparative analysis of deep learning and radiomic signatures for overall survival prediction in recurrent high-grade glioma treated with immunotherapy

    Comparative analysis of deep learning and radiomic signatures for overall survival prediction in recurrent high-grade glioma treated with immunotherapy by Qi Wan, Clifford Lindsay, Chenxi Zhang, Jisoo Kim, Xin Chen, Jing Li, Raymond Y. Huang, David A. Reardon, Geoffrey S. Young, Lei Qin

    Published 2025-01-01
    “…Cancer Imaging…”
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  2. 2
    Evaluation of EGFR-TKIs and ICIs treatment stratification in non-small cell lung cancer using an encrypted multidimensional radiomics approach

    Evaluation of EGFR-TKIs and ICIs treatment stratification in non-small cell lung cancer using an encrypted multidimensional radiomics approach by Xingping Zhang, Xingting Qiu, Yue Zhang, Qingwen Lai, Yanchun Zhang, Guijuan Zhang

    Published 2025-01-01
    “…Cancer Imaging…”
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  3. 3
    Preclinical evaluation and preliminary clinical study of 68Ga-NODAGA-NM-01 for PET imaging of PD-L1 expression

    Preclinical evaluation and preliminary clinical study of 68Ga-NODAGA-NM-01 for PET imaging of PD-L1 expression by Lingzhou Zhao, Jiali Gong, Sisi Liao, Wenhua Huang, Jinhua Zhao, Yan Xing

    Published 2025-01-01
    “…Cancer Imaging…”
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  4. 4
    Preoperative prediction of IDH genotypes and prognosis in adult-type diffuse gliomas: intratumor heterogeneity habitat analysis using dynamic contrast-enhanced MRI and diffusion-weighted imaging

    Preoperative prediction of IDH genotypes and prognosis in adult-type diffuse gliomas: intratumor heterogeneity habitat analysis using dynamic contrast-enhanced MRI and diffusion-we... by Xingrui Wang, Zhenhui Xie, Xiaoqing Wang, Yang Song, Shiteng Suo, Yan Ren, Wentao Hu, Yi Zhu, Mengqiu Cao, Yan Zhou

    Published 2025-02-01
    “…Cancer Imaging…”
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  5. 5
    Survival outcome prediction of esophageal squamous cell carcinoma patients based on radiomics and mutation signature

    Survival outcome prediction of esophageal squamous cell carcinoma patients based on radiomics and mutation signature by Ting Yan, Zhenpeng Yan, Guohui Chen, Songrui Xu, Chenxuan Wu, Qichao Zhou, Guolan Wang, Ying Li, Mengjiu Jia, Xiaofei Zhuang, Jie Yang, Lili Liu, Lu Wang, Qinglu Wu, Bin Wang, Tianyi Yan

    Published 2025-01-01
    “…Cancer Imaging…”
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  6. 6
    Optimisation of low and ultra-low dose scanning protocols for ultra-extended field of view PET in a real-world clinical setting

    Optimisation of low and ultra-low dose scanning protocols for ultra-extended field of view PET in a real-world clinical setting by Johanna Ingbritsen, Jason Callahan, Hugh Morgan, Melissa Munro, Robert E. Ware, Rodney J. Hicks

    Published 2025-01-01
    “…Cancer Imaging…”
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  7. 7
    Dual-modal radiomics ultrasound model to diagnose cervical lymph node metastases of differentiated thyroid carcinoma: a two-center study

    Dual-modal radiomics ultrasound model to diagnose cervical lymph node metastases of differentiated thyroid carcinoma: a two-center study by Jiajia Tang, Yan Tian, Jiaojiao Ma, Xuehua Xi, Liangkai Wang, Zhe Sun, Xinyi Liu, Xuejiao Yu, Bo Zhang

    Published 2025-01-01
    “…Cancer Imaging…”
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  8. 8
    Nomogram based on dual-energy computed tomography to predict the response to induction chemotherapy in patients with nasopharyngeal carcinoma: a two-center study

    Nomogram based on dual-energy computed tomography to predict the response to induction chemotherapy in patients with nasopharyngeal carcinoma: a two-center study by Huanhuan Ren, Junhao Huang, Yao Huang, Bangyuan Long, Mei Zhang, Jing Zhang, Huarong Li, Tingting Huang, Daihong Liu, Ying Wang, Jiuquan Zhang

    Published 2025-01-01
    “…Cancer Imaging…”
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  9. 9
    18F−Prostate−Specific Membrane Antigen PET/CT imaging for potentially resectable pancreatic cancer (PANSCAN−2): a phase I/II study

    18F−Prostate−Specific Membrane Antigen PET/CT imaging for potentially resectable pancreatic cancer (PANSCAN−2): a phase I/II study by Jisce R. Puik, Thomas T. Poels, Gerrit K. J. Hooijer, Matthijs C. F. Cysouw, Joanne Verheij, Johanna W. Wilmink, Elisa Giovannetti, Geert Kazemier, Arantza Farina Sarasqueta, Daniela E. Oprea-Lager, Rutger-Jan Swijnenburg

    Published 2025-01-01
    “…Cancer Imaging…”
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  10. 10
    A logistic regression model to predict long-term survival for borderline resectable pancreatic cancer patients with upfront surgery

    A logistic regression model to predict long-term survival for borderline resectable pancreatic cancer patients with upfront surgery by Jin-Can Huang, Shao-Cheng Lyu, Bing Pan, Han-Xuan Wang, You-Wei Ma, Tao Jiang, Qiang He, Ren Lang

    Published 2025-02-01
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