Evidence map›Paper›PMID 42338694›Full record

ArticleLiver cancer2026

Comparison of Annual Dynamic Abbreviated MRI and Biannual Ultrasound for HCC Surveillance in a High-Risk Group: Two-Center Cohort Study.

Jeong Hee Yoon, Joon-Il Choi, Jeongin Yoo, Sun Kyung Jeon, Jae Hyun Kim, Jae Seok Bae, Hyo-Jin Kang, Hokun Kim, Seo Yeon Youn, Dong Hwan Kim and 7 more

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In one paragraph

Article in Liver cancer, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

17 authors.

Jeong Hee YoonDepartment of Radiology, Seoul National University Hospital and College of Medicine, Seoul National University, Seoul, Republic of Korea.
Joon-Il ChoiDepartment of Radiology, Seoul St. Mary's Hospital and College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.
Jeongin YooDepartment of Radiology, Seoul National University Hospital and College of Medicine, Seoul National University, Seoul, Republic of Korea.
Sun Kyung JeonDepartment of Radiology, Seoul National University Hospital and College of Medicine, Seoul National University, Seoul, Republic of Korea.
Jae Hyun KimDepartment of Radiology, Seoul National University Hospital and College of Medicine, Seoul National University, Seoul, Republic of Korea.
Jae Seok BaeDepartment of Radiology, Seoul National University Hospital and College of Medicine, Seoul National University, Seoul, Republic of Korea.
Hyo-Jin KangDepartment of Radiology, Seoul National University Hospital and College of Medicine, Seoul National University, Seoul, Republic of Korea.
Hokun KimDepartment of Radiology, Seoul St. Mary's Hospital and College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.
Seo Yeon YounDepartment of Radiology, Seoul St. Mary's Hospital and College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.
Dong Hwan KimDepartment of Radiology, Seoul St. Mary's Hospital and College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.
Su Jong YuDepartment of Internal Medicine and Liver Research Institute, Seoul National University Hospital and College of Medicine, Seoul National University, Seoul, Republic of Korea.
Yoon Jun KimDepartment of Internal Medicine and Liver Research Institute, Seoul National University Hospital and College of Medicine, Seoul National University, Seoul, Republic of Korea.
Jung-Hwan YoonDepartment of Internal Medicine and Liver Research Institute, Seoul National University Hospital and College of Medicine, Seoul National University, Seoul, Republic of Korea.
Jeong Won JangDepartment of Internal Medicine, Seoul St. Mary's Hospital and College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.
Pil Soo SungDepartment of Internal Medicine, Seoul St. Mary's Hospital and College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.
Myung-Jin JangMedical Research Collaborating Center at Seoul National University Hospital and Seoul National University College of Medicine, Seoul, Republic of Korea.
Jeong Min LeeDepartment of Radiology, Seoul National University Hospital and College of Medicine, Seoul National University, Seoul, Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Biannual ultrasound (US) is recommended for HCC surveillance, although its sensitivity for early-stage HCC is low. This study aims to compare the performance of annual dynamic abbreviated MRI (D-AMRI) and biannual US for HCC detection. Methods: This prospective, two-center cohort study enrolled participants eligible for HCC surveillance according to Korean guidelines between November 2018 and December 2021. Participants underwent four rounds of surveillance at 6-month intervals: both D-AMRI and US at the first and third rounds and only US at the second and fourth rounds. The diagnostic yield (DY) and false referral rate (FRR) were compared between the two modalities. The scan time of D-AMRI was measured using a stopwatch. Results: Of the 257 enrolled participants, 213 participants completed the protocol and were included in the analysis. Primary liver cancers were found in 32 participants, including 31 HCCs (22 very early-stage, eight early-stage, and one advanced-stage) and one intrahepatic cholangiocarcinoma. The DY of annual D-AMRI was higher than biannual US for all (6.4% [26/405] vs. 2.2% [9/405]), early-stage (6.2% [25/405] vs. 2.0% [8/405]), and very early-stage HCCs (4.7% [19/405] vs. 1.2% [5/405]) ( Conclusion: Annual D-AMRI showed a higher DY than biannual US for detecting HCCs, without increasing the FRR.

Indexed as

Hepatocellular carcinomaLiverMagnetic resonance imagingSurveillanceUltrasound

Identifiers

PMID42338694
PMCPMC13286561

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.