Evidence map›Paper›PMID 36790611›Full record

ArticleInsights into imaging2023

3D whole-heart noncontrast coronary MR angiography based on compressed SENSE technology: a comparative study of conventional SENSE sequence and coronary computed tomography angiography.

Yang Zhang, Xinna Zhang, Yuqi Jiang, Panpan Yang, Xiankuo Hu, Bin Peng, Xiuzheng Yue, Yuanyuan Li, Peiqi Ma, Yushan Yuan and 3 more

Abstract read
In one paragraph

Article in Insights into imaging, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. 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

13 authors.

Yang ZhangDepartment of Radiology, The First Affiliated Hospital of Anhui Medical University, Research Center of Clinical Medical Imaging, Anhui Province Clinical Image Quality Control Center, Hefei, 230032, Anhui Province, China.
Xinna ZhangDepartment of Radiology, The First Affiliated Hospital of Anhui Medical University, Research Center of Clinical Medical Imaging, Anhui Province Clinical Image Quality Control Center, Hefei, 230032, Anhui Province, China.
Yuqi JiangDepartment of Radiology, Fuyang Hospital of Anhui Medical University, Fuyang, 236000, Anhui, China.
Panpan YangDepartment of Radiology, Fuyang Hospital of Anhui Medical University, Fuyang, 236000, Anhui, China.
Xiankuo HuDepartment of Radiology, Fuyang People's Hospital, Fuyang, 236015, Anhui Province, China.
Bin PengDepartment of Radiology, Fuyang People's Hospital, Fuyang, 236015, Anhui Province, China.
Xiuzheng YuePhilips Healthcare, Beijing, China.
Yuanyuan LiDepartment of Radiology, Fuyang People's Hospital, Fuyang, 236015, Anhui Province, China.
Peiqi MaDepartment of Radiology, Fuyang People's Hospital, Fuyang, 236015, Anhui Province, China.
Yushan YuanDepartment of Radiology, Fuyang People's Hospital, Fuyang, 236015, Anhui Province, China.
Yongqiang YuDepartment of Radiology, The First Affiliated Hospital of Anhui Medical University, Research Center of Clinical Medical Imaging, Anhui Province Clinical Image Quality Control Center, Hefei, 230032, Anhui Province, China.
Bin LiuDepartment of Radiology, The First Affiliated Hospital of Anhui Medical University, Research Center of Clinical Medical Imaging, Anhui Province Clinical Image Quality Control Center, Hefei, 230032, Anhui Province, China. ayfyliubin@126.com.
Xiaohu LiDepartment of Radiology, The First Affiliated Hospital of Anhui Medical University, Research Center of Clinical Medical Imaging, Anhui Province Clinical Image Quality Control Center, Hefei, 230032, Anhui Province, China. lixiaohu@ahmu.edu.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe relatively long scan time has hampered the clinical use of whole-heart noncontrast coronary magnetic resonance angiography (NCMRA). The compressed sensitivity encoding (SENSE) technique, also known as the CS technique, has been found to improve scan times. This study aimed to identify the optimal CS acceleration factor for NCMRA.

methodsThirty-six participants underwent four NCMRA sequences: three sequences using the CS technique with acceleration factors of 4, 5, and 6, and one sequence using the conventional SENSE technique with the acceleration factor of 2. Coronary computed tomography angiography (CCTA) was considered as a reference sequence. The acquisition times of the four NCMRA sequences were assessed. The correlation and agreement between the visible vessel lengths obtained via CCTA and NCMRA were also assessed. The image quality scores and contrast ratio (CR) of eight coronary artery segments from the four NCMRA sequences were quantitatively evaluated.

resultsThe mean acquisition time of the conventional SENSE was 343 s, while that of CS4, CS5, and CS6 was 269, 215, and 190 s, respectively. The visible vessel length from the CS4 sequence showed good correlation and agreement with CCTA. The image quality score and CR from the CS4 sequence were not statistically significantly different from those in the other groups (p > 0.05). Moreover, the image score and CR showed a decreasing trend with the increase in the CS factor.

conclusionsThe CS technique could significantly shorten the acquisition time of NCMRA. The CS sequence with an acceleration factor of 4 was generally acceptable for NCMRA in clinical settings to balance the image quality and acquisition time.

Indexed as

Acceleration factorCompressed SENSECoronary angiographyImage qualityMagnetic resonance imaging

Identifiers

PMID36790611
PMCPMC9931966

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.