Evidence map›Paper›PMID 41081221›Full record

ArticleQuantitative imaging in medicine and surgery2025

Study on the effect of three-low technique in aortic computed tomography angiography for patients with body mass index <30 kg/m

Zhijian Chen, Shaogang Wang, Ran Zhang, Ying Chen, Xiaoyi Deng, Xueqin Zhang, Tao Zhang

Abstract read
In one paragraph

Article in Quantitative imaging in medicine and surgery, 2025. 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

7 authors.

Zhijian Chen *Department of Radiology, Nantong Third People's Hospital, Affiliated Nantong Hospital 3 of Nantong University, Nantong, China.
Shaogang Wang *Department of Radiology, Nantong Third People's Hospital, Affiliated Nantong Hospital 3 of Nantong University, Nantong, China.
Ran Zhang *School of Medicine, Nantong University, Nantong, China.
Ying ChenDepartment of Radiology, Nantong Third People's Hospital, Affiliated Nantong Hospital 3 of Nantong University, Nantong, China.
Xiaoyi DengDepartment of Radiology, Aoyang Hospital Affiliated to Jiangsu University, Zhangjiagang, China.
Xueqin ZhangDepartment of Radiology, Nantong Third People's Hospital, Affiliated Nantong Hospital 3 of Nantong University, Nantong, China.ORCID https://orcid.org/0000-0002-8164-9199
Tao ZhangDepartment of Radiology, Nantong Third People's Hospital, Affiliated Nantong Hospital 3 of Nantong University, Nantong, China.ORCID https://orcid.org/0009-0009-3967-5834

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Aortic computed tomography (CT) angiography (ACTA) is a key noninvasive tool for assessing aortic diseases, which typically requires high tube voltage and large volumes of contrast agent, thus potentially increasing radiation exposure and the risk of contrast agent-induced nephropathy. This study aimed to explore the effect of three-low technique (low tube voltage, low contrast agent injection rate, and low contrast agent volume) in CTA for patients with a body mass index (BMI) <30 kg/m Methods: Eighty patients with a BMI less than 30 kg/m Results: Compared with the control group, the effective radiation dose was decreased by 76.2% (10.32±0.46 Conclusions: Three-low technique has a good application value in CTA for patients with a BMI of lower than 30 kg/m

Indexed as

computed tomography angiography (CTA)contrast agentimage qualityLow voltage tuberadiation dose

Identifiers

PMID41081221
PMCPMC12514651

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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 OpenQuestion graph.