Asset Details

  • Description:
  • Cox proportional hazard regression model to assess association between covariates and PFS
  • License:
  • Rights Managed
  • Rights Holder:
  • Springer Nature
  • License Rights Holder:
  • © Springer Science+Business Media, LLC, part of Springer Nature 2019
  • Asset Type:
  • Image
  • Asset Subtype:
  • Table
  • Image Orientation:
  • Portrait
  • Image Dimensions:
  • 1024 x 1944
  • Image File Size:
  • 453 KB
  • Creator:
  • Yichen Wang, Liqiang Cui, Jin Zhang, Lianyu Zhang, Jie Zhang, Xinming Zhao, Yan Chen
  • Credit:
  • Wang, Y., Cui, L., Zhang, J., Zhang, L., Zhang, J., Zhao, X., & Chen, Y. (2019). Baseline perfusion CT parameters as potential biomarkers in predicting long-term prognosis of localized clear cell renal cell carcinoma. Abdominal Radiology, 44(10), 3370-3376. https://doi.org/10.1007/s00261-019-02087-z.
  • Collection:
  • Keywords:
  • Renal cell carcinoma, Computed tomography, Perfusion, Prognosis, Blood flow
  • Restrictions:
  • Property Release:
  • No
  • Model Release:
  • No
  • Purchasable:
  • Yes
  • Sensitive Materials:
  • No
  • Article Authors:
  • Yichen Wang, Liqiang Cui, Jin Zhang, Lianyu Zhang, Jie Zhang, Xinming Zhao, Yan Chen
  • Article Copyright Year:
  • 2019
  • Publication Volume:
  • 44
  • Publication Issue:
  • 10
  • Publication Date:
  • 08/09/2019
  • DOI:
  • https://doi.org/10.1007/s00261-019-02087-z

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