Change in Splenic Volume as a Surrogate Marker for Immunotherapy Response in Patients with Advanced Urothelial and Renal Cell Carcinoma-Evaluation of a Novel Approach of Fully Automated Artificial Intelligence Based Splenic Segmentation.

Gregor DuweLukas MüllerChristian RuckesNikita Dhruva FischerLisa Johanna FreyJan Hendrik BörnerNiklas RölzMaximilian HaackPeter SparwasserTobias JorgChristopher C M Neumann Igor TsaurThomas HöfnerAxel HaferkampFelix HahnRene MagerMaximilian Peter Brandt

Published in: Biomedicines (2023)

We describe a new, innovative artificial intelligence-based approach of a radiological surrogate marker for IO response in aUC and aRCC which presents a promising new predictive imaging marker. The data presented implicate improved OS with lower follow-up SV in patients with aRCC.

Keyphrases

artificial intelligence
deep learning
big data
machine learning
renal cell carcinoma
convolutional neural network
high resolution
high throughput
electronic health record
urinary tract