Impact of Reference Standard on CT, MRI, and Contrast-enhanced US LI-RADS Diagnosis of Hepatocellular Carcinoma: A Meta-Analysis
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See also the editorial by Ronot in this issue.
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Different reference standards available to confirm radiological diagnosis may lead to systematic errors.
“Different reference standards are often available to confirm radiological diagnosis, which may also lead to systematic errors.26”
From Bias in artificial intelligence for medical imaging: fundamentals, detection, avoidance, mitigation, challenges, ethics, and prospects (2024) · cites this paper as [26]
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“26 Some could be highly accurate but also costly and poorly available, whereas others could neglect intermediate findings or be operator-dependent, 27 potentially reducing label applicability and reliability.”
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- Authors
- van der Pol, C. B., McInnes, M. D. F., Salameh, J.-P., Chernyak, V., Tang, A., Bashir, M. R., for the LI-RADS IPD Group, Allen, B. C., Burke, L. M. B., Choi, J.-Y., Choi, S. H., Forner, A., Fraum, T. J., Giamperoli, A., Jiang, H., Joo, I., Kang, Z., Kierans, A. S., Kang, H.-J., Khatri, G., Kim, J. H., Kim, M.-J., Kim, S. Y., Kim, Y.-Y., Kwon, H., Lee, J. M., Levis, B., Lewis, S. C., McGinty, K. A., Mulazzani, L., Park, M.-S., Piscaglia, F., Podgórska, J., Reiner, C. S., Ronot, M., Rosiak, G., Sirlin, C. B., Song, B., Song, J. S., Terzi, E., Wang, J., Wang, W., Wilson, S. R., & Yokoo, T.
- Affiliations
- Beth Israel Deaconess Medical Center (US)
- Duke Medical Center (US)
- University of North Carolina at Chapel Hill (US)
- Yonsei University (KR)
- Asan Medical Center (KR)
- Washington University in St. Louis (US)
- Sichuan University (CN)
- Seoul National University (KR)
- Tongji Hospital (CN)
- Seoul National University Hospital (KR)
- Mount Sinai Hospital (US)
- Medical University of Warsaw (PL)
- Université Paris Cité (FR)
- IRCCS Azienda Ospedliero-Universitaria di Bologna Policlinico di Sant'Orsola (IT)
- Sun Yat-sen University (CN)
- University of Calgary (CA)
- The University of Texas Southwestern Medical Center (US)
- ORCID
- van der Pol, Christian B.
- McInnes, Matthew D. F.
- Salameh, Jean-Paul
- Chernyak, Victoria
- Tang, An
- Bashir, Mustafa R.
- Allen, Brian C.
- Choi, Jin-Young
- Choi, Sang Hyun
- Forner, Alejandro
- Fraum, Tyler J.
- Giamperoli, Alice
- Jiang, Hanyu
- Joo, Ijin
- Kierans, Andrea S.
- Kang, Hyo-Jin
- Khatri, Gaurav
- Kim, Jung Hoon
- Kim, Myeong-Jin
- Kim, So Yeon
- Kim, Yeun-Yoon
- Kwon, Heejin
- Lee, Jeong Min
- Levis, Brooke
- Lewis, Sara C.
- McGinty, Katrina A.
- Mulazzani, Lorenzo
- Park, Mi-Suk
- Piscaglia, Fabio
- Podgórska, Joanna
- Reiner, Caecilia S.
- Ronot, Maxime
- Rosiak, Grzegorz
- Sirlin, Claude B.
- Song, Bin
- Song, Ji Soo
- Wang, Jin
- Wang, Wei
- Wilson, Stephanie R.
- Venue
- Radiology
- Published
- 2022-06
- Volume
- 303
- Issue
- 3
- Pages
- 544-545
- ISSN
- 0033-8419 (ISSN-L)
- 1527-1315
- OpenAlex
- W4214772152
- Cited by
- 38
- References
- 2
- Citations by year
- 2026: 6 · 2025: 8 · 2024: 12 · 2023: 10 · 2022: 2
- FWCI
- 4.76
- Type
- journal article
- Language
- en
- Open access
- green
- hdl.handle.net
- Licence
- cc-by-nd
- Locations
- Radiology (publishedVersion)
- PubMed (publishedVersion)
- Papyrus : Institutional Repository (Université de Montréal) (submittedVersion, cc-by-nd)
- Funders
- Joan Sealy Trust for Cancer Research
- Fonds de Recherche du Québec–Santé (FRQS) Junior 2 Clinical Research Scholarship
- Topics
- Health Sciences › Medicine › Hepatology › Hepatocellular Carcinoma Treatment and Prognosis
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Radiomics and Machine Learning in Medical Imaging
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › MRI in cancer diagnosis
- Keywords
- hepatocellular carcinoma, LI-RADS, reference materials, liver cancer diagnosis, contrast-enhanced ultrasound, CT, magnetic resonance imaging, diagnostic accuracy
- MeSH terms
- Contrast Media, Carcinoma, Hepatocellular, Humans, Liver Neoplasms, Magnetic Resonance Imaging, Reference Standards, Retrospective Studies, Sensitivity and Specificity, Tomography, X-Ray Computed
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