Deep learning HASTE sequence compared with T2-weighted BLADE sequence for liver MRI at 3 Tesla: a qualitative and quantitative prospective study
Author:
Publisher
Springer Science and Business Media LLC
Subject
Radiology, Nuclear Medicine and imaging,General Medicine
Link
https://link.springer.com/content/pdf/10.1007/s00330-023-09693-y.pdf
Reference36 articles.
1. Choi SH, Kim SY, Park SH et al (2018) Diagnostic performance of CT, gadoxetate disodium-enhanced MRI, and PET/CT for the diagnosis of colorectal liver metastasis: systematic review and meta-analysis. J Magn Reson Imaging 47:1237–1250
2. Kim SY, An J, Lim Y-S et al (2017) MRI with liver-specific contrast for surveillance of patients with cirrhosis at high risk of hepatocellular carcinoma. JAMA Oncol 3:456–463
3. Schima W, Kölblinger C, Ba-Ssalamah A (2012) Non-invasive diagnosis of focal liver lesions: an individualized approach. Cancer Imaging 12:365–372
4. Hwang J, Kim SH, Lee MW, Lee JY (2012) Small (≤ 2 cm) hepatocellular carcinoma in patients with chronic liver disease: comparison of gadoxetic acid-enhanced 3.0 T MRI and multiphasic 64-multirow detector CT. Br J Radiol 85:e314-322
5. Augui J, Vignaux O, Argaud C, Coste J, Gouya H, Legmann P (2002) Liver: T2-weighted MR imaging with breath-hold fast-recovery optimized fast spin-echo compared with breath-hold half-Fourier and non–breath-hold respiratory-triggered fast spin-echo pulse sequences. Radiology 223:853–859
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