Evidence map›Paper›PMID 35241421›Full record

ArticleAJNR. American journal of neuroradiology2022

Acceleration of Brain Susceptibility-Weighted Imaging with Compressed Sensitivity Encoding: A Prospective Multicenter Study.

J Ding, Y Duan, M Wang, Y Yuan, Z Zhuo, L Gan, Q Song, B Gao, L Yang, H Liu and 8 more

Open access · hybridAbstract readMulticenter Study
In one paragraph

Article in AJNR. American journal of neuroradiology, 2022. 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
0.9field-weighted citation impact, top 30% of its field
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, 6 citations in OpenAlex.

  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

18 authors at 6 institutions in 2 countries.

J DingFrom the Department of Radiology (J.D., Y.D., Z.Z., L.G., F.Z., R.C., Y.L.), Beijing Tiantan Hospital, Capital Medical University, Beijing, China.ORCID 0000-0001-6447-393X
Y DuanFrom the Department of Radiology (J.D., Y.D., Z.Z., L.G., F.Z., R.C., Y.L.), Beijing Tiantan Hospital, Capital Medical University, Beijing, China.ORCID 0000-0002-8753-0260
M WangDepartment of Radiology (M.W., B.Z.), The Affiliated Drum Tower Hospital of Nanjing UniversityMedical School, Jiangsu, China.ORCID 0000-0003-1515-3133
Y YuanDepartment of Radiology (Y.Y., G.Z.), Beijing Royal Integrative Medicine Hospital, Beijing, China.ORCID 0000-0002-6860-8966
Z ZhuoFrom the Department of Radiology (J.D., Y.D., Z.Z., L.G., F.Z., R.C., Y.L.), Beijing Tiantan Hospital, Capital Medical University, Beijing, China.ORCID 0000-0002-6635-8705
L GanFrom the Department of Radiology (J.D., Y.D., Z.Z., L.G., F.Z., R.C., Y.L.), Beijing Tiantan Hospital, Capital Medical University, Beijing, China.ORCID 0000-0002-0308-1921
Q SongDepartment of Radiology (Q.S., B.G.), First Affiliated Hospital of Dalian Medical University, Dalian, China.ORCID 0000-0002-7035-7211
B GaoDepartment of Radiology (Q.S., B.G.), First Affiliated Hospital of Dalian Medical University, Dalian, China.ORCID 0000-0003-1790-8675
L YangDepartment of Radiology (L.Y., H.L., Y.H.), Shengjing Hospital of ChinaMedical University, Shenyang, China.ORCID 0000-0002-3990-1450
H LiuDepartment of Radiology (L.Y., H.L., Y.H.), Shengjing Hospital of ChinaMedical University, Shenyang, China.ORCID 0000-0003-4558-7979
Y HouDepartment of Radiology (L.Y., H.L., Y.H.), Shengjing Hospital of ChinaMedical University, Shenyang, China.ORCID 0000-0002-9184-5441
F ZhengFrom the Department of Radiology (J.D., Y.D., Z.Z., L.G., F.Z., R.C., Y.L.), Beijing Tiantan Hospital, Capital Medical University, Beijing, China.ORCID 0000-0001-6639-9139
R ChenFrom the Department of Radiology (J.D., Y.D., Z.Z., L.G., F.Z., R.C., Y.L.), Beijing Tiantan Hospital, Capital Medical University, Beijing, China.ORCID 0000-0002-2593-3267
J WangPhilips Healthcare (J.W., L.L.), Beijing, China.ORCID 0000-0003-1182-442X
L LinPhilips Healthcare (J.W., L.L.), Beijing, China.ORCID 0000-0002-3174-3136
B ZhangDepartment of Radiology (M.W., B.Z.), The Affiliated Drum Tower Hospital of Nanjing UniversityMedical School, Jiangsu, China.ORCID 0000-0002-3953-0290
G ZhangDepartment of Radiology (Y.Y., G.Z.), Beijing Royal Integrative Medicine Hospital, Beijing, China.ORCID 0000-0002-9766-1109
Y LiuFrom the Department of Radiology (J.D., Y.D., Z.Z., L.G., F.Z., R.C., Y.L.), Beijing Tiantan Hospital, Capital Medical University, Beijing, China liuyaou@bjtth.org.ORCID 0000-0002-2965-0766
Beijing Tian Tan Hospital · CNChina Medical University · CNBeijing Royal Integrative Medicine Hospital · CNDalian Medical University · CNNanjing Drum Tower Hospital · CNPhilips (Finland) · FI

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

background and purposeWhile three-dimensional susceptibility-weighted imaging has been widely suggested for intracranial vessel imaging, hemorrhage detection, and other neuro-diseases, its relatively long scan time has necessitated the clinical verification of recent progresses of fast imaging techniques. Our aim was to evaluate the effectiveness of brain SWI accelerated by compressed sensitivity encoding to identify the optimal acceleration factors for clinical practice. MATERIALS AND

methodsNinety-nine subjects, prospectively enrolled from 5 centers, underwent 8 brain SWI sequences: 5 different folds of compressed sensitivity encoding acceleration (CS2, CS4, CS6, CS8, and CS10), 2 different folds of sensitivity encoding acceleration (SF2 and SF4), and 1 without acceleration. Images were assessed quantitatively on both the SNR of the red nucleus and its contrast ratio to the CSF and, subjectively, with scoring on overall image quality; visibility of the substantia nigra-red nucleus, basilar artery, and internal cerebral vein; and diagnostic confidence of the cerebral microbleeds and other intracranial diseases.

resultsCompressed sensitivity encoding showed a promising ability to reduce the acquisition time (from 202 to 41 seconds) of SWI while increasing the acceleration factor from 2 to 10, though at the cost of decreasing the SNR, contrast ratio, and the scores of visual assessments. The visibility of the substantia nigra-red nucleus and internal cerebral vein became unacceptable in CS6 to CS10. The basilar artery was well-distinguished, and diseases including cerebral microbleeds, cavernous angiomas, intracranial gliomas, venous malformations, and subacute hemorrhage were well-diagnosed in all compressed sensitivity encoding sequences.

conclusionsCompressed sensitivity encoding factor 4 is recommended in routine practice. Compressed sensitivity encoding factor 10 is potentially a fast surrogate for distinguishing the basilar artery and detecting susceptibility-related abnormalities (eg, cerebral microbleeds, cavernous angiomas, gliomas, and venous malformation) at the sacrifice of visualization of the substantia nigra-red nucleus and internal cerebral vein.

Indexed as

GliomaMagnetic Resonance ImagingAccelerationBrainCerebral HemorrhageHumansImaging, Three-DimensionalProspective Studies

Identifiers

PMID35241421
PMCPMC8910792
OpenAlexW4214899766

What Socratic holds

Textmetadata
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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.