Artificial intelligence can help individualize Wilms tumor treatment by predicting tumor response to preoperative chemotherapy
Based on pre-therapy CECT, CAP systems can help identify WT that are less likely to respond to PC with excellent accuracy. These tumors can be offered upfront surgery, avoiding the cons of PC.
Authors
- Mohamed Shehata (ORCID: https://orcid.org/0000-0001-6640-6183)
- Mohammed Ghazal (ORCID: https://orcid.org/0000-0002-9045-6698)
- Ahmed Mosbah
- Ahmed Abdelhalim (ORCID: https://orcid.org/0000-0002-4451-0032)
- Sherry M. Khater (ORCID: https://orcid.org/0000-0001-5988-9711)
- Ahmed Nashat (ORCID: https://orcid.org/0000-0002-7371-6144)
- Hossam Magdy Balaha (ORCID: https://orcid.org/0000-0002-0686-4411)
- Ahmed Alksas (ORCID: https://orcid.org/0000-0001-9409-931X)
- Ayman El‐Baz (ORCID: https://orcid.org/0000-0001-7264-1323)
- Israa Sharaby (ORCID: https://orcid.org/0000-0003-2287-3315)
- Ahmed Elmahdy (ORCID: https://orcid.org/0000-0003-4063-0499)
- Salama Abd El-Wadoud
- Rasha T. Aboulelkheir
Institutions
- Abu Dhabi University (AE)
- West Virginia University (US)
- University of Louisville (US)
- Mansoura University (EG)
- Royal Berkshire Hospital (GB)
Publication Details
- Journal
- Investigative and Clinical Urology
- Published
- 2024-12-11
- DOI
- https://doi.org/10.4111/icu.20240135
- Citations
- 4
- Primary Topic
- Renal and related cancers
- Type
- article
- Field-Weighted Citation Impact
- 0.94