Artificial intelligence can help individualize Wilms tumor treatment by predicting tumor response to preoperative chemotherapy.

Journal: Investigative and clinical urology
PMID:

Abstract

PURPOSE: To create a computer-aided prediction (CAP) system to predict Wilms tumor (WT) responsiveness to preoperative chemotherapy (PC) using pre-therapy contrast-enhanced computed tomography (CECT).

Authors

  • Ahmed Nashat
    Department of Urology, Mansoura Urology and Nephrology Center, Mansoura University, Mansoura, Egypt.
  • Ahmed Alksas
    Bioengineering Department, University of Louisville, Louisville, KY, USA.
  • Rasha T Aboulelkheir
    Department of Radiology, Mansoura Urology and Nephrology Center, Mansoura University, Mansoura, Egypt.
  • Ahmed Elmahdy
    Department of Radiology, Mansoura Urology and Nephrology Center, Mansoura University, Mansoura, Egypt.
  • Sherry M Khater
    Department of Pathology, Mansoura Urology and Nephrology Center, Mansoura University, Mansoura, Egypt.
  • Hossam M Balaha
    Bioengineering Department, University of Louisville, Louisville, KY, USA.
  • Israa Sharaby
    Bioengineering Department, University of Louisville, Louisville, KY, USA.
  • Mohamed Shehata
    Department of Bioengineering, Speed School of Engineering, University of Louisville, Louisville, KY, United States.
  • Mohammed Ghazal
    3 Electrical and Computer Engineering Department, Abu Dhabi University, Abu Dhabi, United Arab Emirates.
  • Salama Abd El-Wadoud
    Department of Emergency Medicine, Royal Berkshire Hospital, Reading, UK.
  • Ayman El-Baz
    Bioengineering Department, The University of Louisville, Louisville, KY, USA.
  • Ahmed Mosbah
    Department of Urology, Mansoura Urology and Nephrology Center, Mansoura University, Mansoura, Egypt.
  • Ahmed Abdelhalim
    Department of Urology, Mansoura Urology and Nephrology Center, Mansoura University, Mansoura, Egypt.