Is this you? As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work.
Claim your profile
Abstract Objective: This study sought to create a CT-based clinical deep learning radiomics (CDLR) model to noninvasively differentiate between pyelocaliceal upper tract urothelial carcinoma (UTUC) and xanthogranulomatous pyelonephritis (XGP) preoperatively, aiding in personalized treatment decisions. Methods: A retrospective analysis included 161 patients with pathologically confirmed pyelocaliceal UTUC or XGP following surgery.
As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work.
