How to cite item

Vendor-agnostic versus vendor-specific boost methods in low-concentration contrast-enhanced computed tomography of the abdomen

   
@article{QIMS154059,
	author = {Chuluunbaatar Otgonbaatar and Sung-Jin Cha and Sang-Hyun Jeon and Sue Yon Shim and Hackjoon Shim and Jhii-Hyun Ahn},
	title = {Vendor-agnostic versus vendor-specific boost methods in low-concentration contrast-enhanced computed tomography of the abdomen},
	journal = {Quantitative Imaging in Medicine and Surgery},
	volume = {16},
	number = {7},
	year = {2026},
	keywords = {},
	abstract = {Background: Contrast media-related adverse events pose serious risks, not only due to allergic reactions but also for patients with renal failure, older age, heart failure, and diabetes mellitus. Various efforts have been made to maximize vascular contrast enhancement (CE) using low-concentration contrast media. This study aimed to compare quantitative and qualitative image characteristics between vendor-agnostic and vendor-specific CE boost methods in low-concentration contrast medium settings against standard-concentration contrast medium settings.Methods: This retrospective study including 160 patients compared two concentrations of iodinated contrast media—350 mg I/mL (standard-concentration group) and 270 mg I/mL (low-concentration group) who underwent contrast-enhanced abdominal computed tomography (CT). Vendor-agnostic and vendor-specific boost methods were applied to the CT images of the low-concentration group. Quantitative [image noise, CT attenuation, signal-to-noise ratio (SNR), contrast-to-noise ratio (CNR), noise power spectrum, and image sharpness] and qualitative (Likert scale rating by two radiologists) measures of image quality were evaluated in abdominal vessels and liver lesions.Results: The present study included 80 patients in the standard-concentration and 80 patients in the low-concentration group, respectively. There were no significant differences in age (P=0.75), sex (P=0.99), and body mass index (P=0.98) between the two groups. Both vendor-agnostic and vendor-specific CE-boost methods significantly reduced image noise (P},
	issn = {2223-4306},	url = {https://qims.amegroups.org/article/view/154059}
}