Evidence map›Paper›PMID 39634325›Full record

ArticleJournal of medical imaging (Bellingham, Wash.)2024

Utilization of double contrast-enhancement boost for lower-extremity CT angiography.

Chuluunbaatar Otgonbaatar, Jae-Kyun Ryu, Won Beom Jung, Seon Woong Jang, Sungjun Hwang, Taehyung Kim, Hackjoon Shim, Jung Wook Seo

Abstract read
In one paragraph

Article in Journal of medical imaging (Bellingham, Wash.), 2024. 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

8 authors.

Chuluunbaatar OtgonbaatarSeoul National University, College of Medicine, Department of Radiology, Seoul, Republic of Korea.ORCID https://orcid.org/0000-0002-8533-6165
Jae-Kyun RyuCanon Medical Systems Korea, Medical Imaging AI Research Center, Seoul, Republic of Korea.
Won Beom JungKorea Brain Research Institute, Daegu, Republic of Korea.
Seon Woong JangInje University Ilsan Paik Hospital, Inje University College of Medicine, Department of Radiology, Goyang, Republic of Korea.
Sungjun HwangInje University Ilsan Paik Hospital, Inje University College of Medicine, Department of Radiology, Goyang, Republic of Korea.ORCID https://orcid.org/0000-0002-2505-8247
Taehyung KimInje University Ilsan Paik Hospital, Inje University College of Medicine, Department of Radiology, Goyang, Republic of Korea.ORCID https://orcid.org/0000-0001-5426-4739
Hackjoon ShimCanon Medical Systems Korea, Medical Imaging AI Research Center, Seoul, Republic of Korea.ORCID https://orcid.org/0000-0002-6731-0084
Jung Wook SeoInje University Ilsan Paik Hospital, Inje University College of Medicine, Department of Radiology, Goyang, Republic of Korea.ORCID https://orcid.org/0000-0002-5975-8698

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: We aimed to compare the efficacy of the double contrast enhancement (CE)-boost technique with that of conventional methods to improve vascular contrast attenuation in lower-extremity computed tomography (CT) angiography. Approach: This retrospective study enrolled 45 patients (mean age, 70 years; range, 26 to 90 years; 30 males). To generate the CE-boost image, the degree of CE was determined by subtracting the post-contrast CT images from the pre-contrast CT images. The double CE-boost technique involves the application of this CE process twice. Both objective assessments (CT attenuation, noise level, signal-to-noise ratio [SNR], contrast-to-noise ratio [CNR], and image sharpness) and subjective quality evaluations were conducted on three types of images (conventional, CE-boost, and double CE-boost images). Results: Double CE-boost images demonstrated significantly reduced noise in Hounsfield units (HUs) compared with conventional and CE-boost images ( Conclusions: The implementation of the double CE-boost technique improves image quality by decreasing image noise, increasing CT attenuation, and improving SNR, CNR, and subjective assessment compared with CE-boost and conventional imaging.

Indexed as

below-the-knee arterydouble contrast enhancement–boostimage qualitylower-extremity computed tomography angiography

Identifiers

PMID39634325
PMCPMC11614588

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.