Clinical application of radiomics for the prediction of treatment outcome and survival in patients with renal cell carcinoma: a systematic review.

Khene ZE, Tachibana I, Bertail T, Fleury R, Bhanvadia R, Kapur P, Rajaram S, Guo J, Christie A, Pedrosa I, Lotan Y, Margulis V

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DOI: 10.1007/s00345-024-05247-z
Published: 2024 Sep 26
Container: World journal of urology
Publisher: Not recorded
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1007/s00345-024-05247-z,
  title = {Clinical application of radiomics for the prediction of treatment outcome and survival in patients with renal cell carcinoma: a systematic review.},
  author = {Khene ZE and Tachibana I and Bertail T and Fleury R and Bhanvadia R and Kapur P and Rajaram S and Guo J and Christie A and Pedrosa I and Lotan Y and Margulis V},
  year = {2024},
  journal = {World journal of urology},
  doi = {10.1007/s00345-024-05247-z},
  url = {https://doi.org/10.1007/s00345-024-05247-z}
}

RIS

TY  - JOUR
TI  - Clinical application of radiomics for the prediction of treatment outcome and survival in patients with renal cell carcinoma: a systematic review.
AU  - Khene ZE
AU  - Tachibana I
AU  - Bertail T
AU  - Fleury R
AU  - Bhanvadia R
AU  - Kapur P
AU  - Rajaram S
AU  - Guo J
AU  - Christie A
AU  - Pedrosa I
AU  - Lotan Y
AU  - Margulis V
PY  - 2024
JO  - World journal of urology
DO  - 10.1007/s00345-024-05247-z
UR  - https://doi.org/10.1007/s00345-024-05247-z
ER  -

APA

ZE, K., I, T., T, B., R, F., R, B., P, K., S, R., J, G., A, C., I, P., Y, L., & V, M. (2024). Clinical application of radiomics for the prediction of treatment outcome and survival in patients with renal cell carcinoma: a systematic review.. World journal of urology. https://doi.org/10.1007/s00345-024-05247-z

Source records

pubmed · retrieved 2026-11-10T12:57:27.372Z