Evidence map›Paper›PMID 42062228›Full record

Trial reportKorean journal of radiology2026

Deep Learning-Based Augmented Contrast-Enhancement and Denoising for Reduced-Iodine and Low-Radiation 70-kVp Cerebral CT Angiography: A Prospective Study.

Seunghyun Song, Eun-Suk Cho, YuSik Kim, Chulkyun Ahn, Sang Hyun Suh, Jae-Joon Chung, Jong Hyo Kim

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in Korean journal of radiology, 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. Review
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

7 authors.

Seunghyun SongDepartment of Radiology, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea.ORCID https://orcid.org/0009-0001-7400-6785
Eun-Suk ChoDepartment of Radiology, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea. jjondol@yuhs.ac.ORCID https://orcid.org/0000-0002-0007-9869
YuSik KimSeverance Institute for Vascular and Metabolic Research, Yonsei University College of Medicine, Seoul, Republic of Korea.ORCID https://orcid.org/0000-0002-2921-6433
Chulkyun AhnClariPi AI Medical Imaging Solutions, Seoul, Republic of Korea.ORCID https://orcid.org/0000-0003-2919-4892
Sang Hyun SuhDepartment of Radiology, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea.ORCID https://orcid.org/0000-0002-7098-4901
Jae-Joon ChungDepartment of Radiology, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea.ORCID https://orcid.org/0000-0002-7447-1193
Jong Hyo KimDepartment of Transdisciplinary Studies, Graduate School of Convergence Science and Technology, Seoul National University, Seoul, Republic of Korea.ORCID https://orcid.org/0000-0002-5695-4976

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo evaluate the feasibility of cerebral computed tomography angiography (CTA) obtained with reduced iodine and low radiation at 70 kVp and the effect of deep learning-based augmented contrast enhancement (DL-ACE) and denoising (DL-DN) algorithms on the CTA quality. MATERIALS AND

methodsIn this prospective study, 47 healthy volunteers (male:female, 31:16; mean age ± standard deviation, 57.8 ± 10.9 years) were randomly assigned to one of three CTA protocols: Group A (n = 16; 100 kVp, 40 mL of 350 mgI/mL), Group B (n = 16; 70 kVp, 40 mL of 270 mgI/mL), and Group C (n = 15; 70 kVp, 28 mL of 270 mgI/mL [ultralow iodine]), with an injection rate of 2.5 mL/s for all. Images were reconstructed using filtered back projection (FBP), and images in Groups B and C were additionally reconstructed using DL-ACE and DL-DN. Arterial attenuation, image noise, contrast-to-noise ratio (CNR), and subjective image quality were compared among five image sets.

resultsCompared with Group A, Groups B and C received 23.7% lower radiation doses. With FBP, arterial attenuation was significantly higher in Groups B (435.8 ± 50.2 Hounsfield units [HU]) and C (391.8 ± 52.1 HU) than in Group A (321.1 ± 47.4 HU) (

conclusionCerebral CTA at 70-kVp using ultralow iodine enhanced arterial attenuation but increased image noise compared with the 100-kVp CTA protocol. DL-ACE and DL-DN significantly increased arterial attenuation and reduced image noise, resulting in higher CNR and better subjective image quality.

Indexed as

Computed Tomography AngiographyRadiographic Image Interpretation, Computer-AssistedAdultAged, 80 and overCerebral AngiographyContrast MediaDeep LearningFemaleHumansIodineMaleRadiation DosageContrast MediaIodineCerebral arteryComputed tomography angiographyContrast mediaDeep learningRadiation

Identifiers

PMID42062228
PMCPMC13136585

What OpenQuestion holds

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Registered trials

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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.