Work

Agreement between Routine-Dose and Lower-Dose CT with and without Deep Learning–based Denoising for Active Surveillance of Solid Small Renal Masses: A Multiobserver Study

Year: 2025

Type: article

Abstract: Interobserver agreement for CT-based assessment of small renal masses during active surveillance was similar between routine-dose and lower-dose images acquired using iterative reconstruction, and deep learning–based denoising enabled dose reduction to submillisievert levels.

Source: Radiology Imaging Cancer

DOI: 10.1148/rycan.240250

Authors: Jens Borgbjerg, Bendik Stensby Breen, Cathrine Helgestad Kristiansen, Nis Elbrønd Larsen, Lise Medrud, Rasa Mikalone, Stig Müller, Gintare Naujokaite, Anne Negård, Tommy Kjærgård Nielsen, Ivar Mjåland Salte, Jens Brøndum Frøkjær

Institutions: Akershus University Hospital, Aarhus University Hospital, Aalborg University Hospital

Language: English

Topic: Radiation Dose and Imaging

Subfield: Radiology, Nuclear Medicine and Imaging

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: diamond

Funder: Akershus Universitetssykehus

OpenAlex ID: W4411278292

FWCI: 3.269

Cites: 47

Cited by: 6

Related to: 10