Evidence map›Paper›PMID 41594319›Full record

ArticleDiagnostics (Basel, Switzerland)2026

Improved Detection of Small (<2 cm) Hepatocellular Carcinoma via Deep Learning-Based Synthetic CT Hepatic Arteriography: A Multi-Center External Validation Study.

Jung Won Kwak, Sung Bum Cho, Ki Choon Sim, Jeong Woo Kim, In Young Choi, Yongwon Cho

Abstract read
In one paragraph

Article in Diagnostics (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Jung Won KwakDepartment of Radiology, Anam Hospital, College of Medicine, Korea University, 73 Goryeodae-ro, Seongbuk-gu, Seoul 02841, Republic of Korea.ORCID 0000-0003-1817-2292
Sung Bum ChoDepartment of Radiology, Anam Hospital, College of Medicine, Korea University, 73 Goryeodae-ro, Seongbuk-gu, Seoul 02841, Republic of Korea.
Ki Choon SimDepartment of Radiology, Anam Hospital, College of Medicine, Korea University, 73 Goryeodae-ro, Seongbuk-gu, Seoul 02841, Republic of Korea.ORCID 0000-0002-3344-8018
Jeong Woo KimDepartment of Radiology, Guro Hospital, College of Medicine, Korea University, 148 Gurodong-ro, Guro-gu, Seoul 08308, Republic of Korea.ORCID 0000-0003-1580-1006
In Young ChoiDepartment of Radiology, Ansan Hospital, College of Medicine, Korea University, 123 Jeokgeum-ro, Danwon-gu, Ansan-si 15355, Republic of Korea.ORCID 0000-0001-5264-675X
Yongwon ChoDepartment of Computer Science and Engineering, Soonchunhyang University, Asan 31538, Republic of Korea.ORCID 0000-0001-8092-5799

Funding

Korea University K2314131
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

CT hepatic arteriographydeep learningdetectiongenerative adversarial networkshepatocellular carcinoma

Identifiers

PMID41594319
PMCPMC12840521

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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 Socratic graph.