Imaging Engineering and Artificial Intelligence in Urinary Stone Disease: Low-Dose Computed Tomography, Spectral Technologies, and Predictive Models

Urinary stone disease is common, recurrent, and increasingly managed through imaging-driven pathways, yet standard-dose CT of the kidneys, ureters, and bladder (CT KUB) raises concerns about cumulative radiation exposure and the limited use of quantitative imaging information for risk stratification...

Ausführliche Beschreibung

Bibliografische Detailangaben

Hauptverfasser:	Shota Iijima, Takanobu Utsumi, Rino Ikeda, Naoki Ishitsuka, Takahide Noro, Yuta Suzuki, Yuka Sugizaki, Takatoshi Somoto, Ryo Oka, Takumi Endo, Naoto Kamiya, Hiroyoshi Suzuki
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	MDPI AG 2026-04-01
Schriftenreihe:	Eng
Schlagworte:	urolithiasis low-dose computed tomography spectral CT dual-energy CT photon-counting CT radiomics
Online-Zugang:	https://www.mdpi.com/2673-4117/7/4/174
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