Prediction models for differentiating benign from malignant liver lesions based on multiparametric dual-energy non-contrast CT
Distinguishing benign from malignant liver lesions with non-contrast-enhanced CT would be desirable. This model, incorporating slope K, effective Z, and blood quantification, distinguished benign from malignant liver lesions. Non-contrast-enhanced DECT has benefits, particularly in patients with an iodine allergy, renal failure, or asthma.
Authors
- Takashi Ota (ORCID: https://orcid.org/0000-0003-3902-8230)
- Hiromitsu Onishi
- Noriyuki Tomiyama (ORCID: https://orcid.org/0000-0001-9918-7327)
- Atsushi Nakamoto (ORCID: https://orcid.org/0000-0001-8540-1855)
- Takahiro Tsuboyama (ORCID: https://orcid.org/0000-0002-7243-1454)
- Toru Honda (ORCID: https://orcid.org/0000-0001-7709-6010)
- Hideyuki Fukui (ORCID: https://orcid.org/0000-0002-6330-2482)
- Shohei Matsumoto (ORCID: https://orcid.org/0000-0001-7544-6291)
- Mitsuaki Tatsumi (ORCID: https://orcid.org/0000-0003-1778-0421)
Institutions
- Osaka City University (JP)
- The University of Osaka (JP)
Publication Details
- Journal
- European Radiology
- Published
- 2024-08-26
- DOI
- https://doi.org/10.1007/s00330-024-11024-8
- Citations
- 13
- Primary Topic
- Advanced X-ray and CT Imaging
- Type
- article
- Field-Weighted Citation Impact
- 2.40