Evidence map›Paper›PMID 38485196›Full record

ArticleAJNR. American journal of neuroradiology2024

Compressed Sensitivity Encoding Artificial Intelligence Accelerates Brain Metastasis Imaging by Optimizing Image Quality and Reducing Scan Time.

Mengmeng Wang, Yue Ma, Linna Li, Xingchen Pan, Yafei Wen, Ying Qiu, Dandan Guo, Yi Zhu, Jianxiu Lian, Dan Tong

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PubMed Full text at PMC Publisher
In one paragraph

Article in AJNR. American journal of neuroradiology, 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

10 authors.

Mengmeng WangFrom the Department of Radiology (M.W., Y.M., L.L., X.P., Y.W., Y.Q., D.G., D.T.), The First Hospital of Jilin University, Changchun, China.ORCID 0009-0006-7480-5137
Yue MaFrom the Department of Radiology (M.W., Y.M., L.L., X.P., Y.W., Y.Q., D.G., D.T.), The First Hospital of Jilin University, Changchun, China.ORCID 0009-0009-5934-4207
Linna LiFrom the Department of Radiology (M.W., Y.M., L.L., X.P., Y.W., Y.Q., D.G., D.T.), The First Hospital of Jilin University, Changchun, China.ORCID 0000-0002-1439-5221
Xingchen PanFrom the Department of Radiology (M.W., Y.M., L.L., X.P., Y.W., Y.Q., D.G., D.T.), The First Hospital of Jilin University, Changchun, China.ORCID 0000-0002-3489-188X
Yafei WenFrom the Department of Radiology (M.W., Y.M., L.L., X.P., Y.W., Y.Q., D.G., D.T.), The First Hospital of Jilin University, Changchun, China.ORCID 0009-0001-1247-396X
Ying QiuFrom the Department of Radiology (M.W., Y.M., L.L., X.P., Y.W., Y.Q., D.G., D.T.), The First Hospital of Jilin University, Changchun, China.ORCID 0009-0003-6991-5719
Dandan GuoFrom the Department of Radiology (M.W., Y.M., L.L., X.P., Y.W., Y.Q., D.G., D.T.), The First Hospital of Jilin University, Changchun, China.ORCID 0009-0004-0278-5769
Yi ZhuPhilips Healthcare (Y.Z., J.L., D.T.), Beijing, China.ORCID 0000-0002-2763-8691
Jianxiu LianPhilips Healthcare (Y.Z., J.L., D.T.), Beijing, China.ORCID 0009-0009-5084-3050
Dan TongFrom the Department of Radiology (M.W., Y.M., L.L., X.P., Y.W., Y.Q., D.G., D.T.), The First Hospital of Jilin University, Changchun, China.ORCID 0000-0002-7942-6631

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

background and purposeAccelerating the image acquisition speed of MR imaging without compromising the image quality is challenging. This study aimed to evaluate the feasibility of contrast-enhanced (CE) 3D T1WI and CE 3D-FLAIR sequences reconstructed with compressed sensitivity encoding artificial intelligence (CS-AI) for detecting brain metastases (BM) and explore the optimal acceleration factor (AF) for clinical BM imaging. MATERIALS AND

methodsFifty-one patients with cancer with suspected BM were included. Fifty participants underwent different customized CE 3D-T1WI or CE 3D-FLAIR sequence scans. Compressed SENSE encoding acceleration 6 (CS6), a commercially available standard sequence, was used as the reference standard. Quantitative and qualitative methods were used to evaluate image quality. The SNR and contrast-to-noise ratio (CNR) were calculated, and qualitative evaluations were independently conducted by 2 neuroradiologists. After exploring the optimal AF, sample images were obtained from 1 patient by using both optimized sequences.

resultsQuantitatively, the CNR of the CS-AI protocol for CE 3D-T1WI and CE 3D-FLAIR sequences was superior to that of the CS protocol under the same AF (

conclusionsCE 3D-T1WI and CE 3D-FLAIR sequences reconstructed with CS-AI for the detection of BM may provide a more effective alternative reconstruction approach than CS. CS-AI10 is suitable for clinical applications, providing optimal image quality and a shortened scan time.

Indexed as

Brain NeoplasmsWhite MatterArtificial IntelligenceGray MatterHumansImaging, Three-DimensionalMagnetic Resonance Imaging

Identifiers

PMID38485196
PMCPMC11288577

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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.