Evidence map›Paper›PMID 27192086›Full record

ReviewNMR in biomedicine2017

Susceptibility-weighted imaging: current status and future directions.

Saifeng Liu, Sagar Buch, Yongsheng Chen, Hyun-Seok Choi, Yongming Dai, Charbel Habib, Jiani Hu, Joon-Yong Jung, Yu Luo, David Utriainen and 4 more

Open access · greenAbstract readReview
In one paragraph

Review in NMR in biomedicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 73 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
73citing papers in PubMed, 1 pooled it
15.4field-weighted citation impact, top 1% 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

73 citing papers in PubMed, 1 synthesis or guideline pooled it, 170 citations in OpenAlex.

  1. Pooled it
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  3. [A vessel-enhanced consistency-preserving diffusion model for 3T-to-7T susceptibility weighted image generation].Nan fang yi ke da xue xue bao = Journal of Southern Medical University · 2026
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13 more citing papers are in PubMed but not listed here.

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

14 authors at 8 institutions in 4 countries.

Saifeng LiuThe MRI Institute for Biomedical Research, Waterloo, ON, Canada.
Sagar BuchThe MRI Institute for Biomedical Research, Waterloo, ON, Canada.
Yongsheng ChenDepartment of Radiology, Wayne State University, Detroit, MI, USA.
Hyun-Seok ChoiDepartment of Radiology, St. Mary's Hospital, The Catholic University of Korea, Seoul, South Korea.
Yongming DaiThe MRI Institute of Biomedical Research, Detroit, MI, USA.
Charbel HabibDepartment of Radiology, Wayne State University, Detroit, MI, USA.
Jiani HuDepartment of Radiology, Wayne State University, Detroit, MI, USA.
Joon-Yong JungDepartment of Radiology, St. Mary's Hospital, The Catholic University of Korea, Seoul, South Korea.
Yu LuoDepartment of Radiology, Branch of Shanghai First Hospital, Shanghai, China.
David UtriainenThe MRI Institute of Biomedical Research, Detroit, MI, USA.
Meiyun WangDepartment of Radiology, Henan Provincial People's Hospital, Zhengzhou, Henan, China.
Dongmei WuShanghai Key Laboratory of Magnetic Resonance, East China Normal University, Shanghai, China.
Shuang XiaDepartment of Radiology, Tianjin First Central Hospital, Tianjin, China.
E Mark HaackeThe MRI Institute for Biomedical Research, Waterloo, ON, Canada.
Magnetic Resonance Imaging Institute for Biomedical Research · USWayne State University · USCatholic University of Korea · KRResearch Institute for Aging · CAEast China Normal University · CNHenan Provincial People's Hospital · CNShanghai First People's Hospital · CNTianjin Medical University · CN

Funding

(PQC5 in RFA-CA-12-020) Using MR phase to detect ferritin tagged breast cancer ceR21CA184682 · NCI · WAYNE STATE UNIVERSITY · PI HU, JIANI, WANG, JIANJUN · 2014 to 2015
$364k
NCI NIH HHS R21 CA184682
6 · The paper itself

Abstract

Susceptibility-weighted imaging (SWI) is a method that uses the intrinsic nature of local magnetic fields to enhance image contrast in order to improve the visibility of various susceptibility sources and to facilitate diagnostic interpretation. It is also the precursor to the concept of the use of phase for quantitative susceptibility mapping (QSM). Nowadays, SWI has become a widely used clinical tool to image deoxyhemoglobin in veins, iron deposition in the brain, hemorrhages, microbleeds and calcification. In this article, we review the basics of SWI, including data acquisition, data reconstruction and post-processing. In particular, the source of cusp artifacts in phase images is investigated in detail and an improved multi-channel phase data combination algorithm is provided. In addition, we show a few clinical applications of SWI for the imaging of stroke, traumatic brain injury, carotid vessel wall, siderotic nodules in cirrhotic liver, prostate cancer, prostatic calcification, spinal cord injury and intervertebral disc degeneration. As the clinical applications of SWI continue to expand both in and outside the brain, the improvement of SWI in conjunction with QSM is an important future direction of this technology. Copyright © 2016 John Wiley & Sons, Ltd.

Indexed as

BrainBrain DiseasesDiffusion Magnetic Resonance ImagingForecastingHumansImage EnhancementImage Interpretation, Computer-AssistedMolecular ImagingReproducibility of ResultsSensitivity and Specificitycerebral microbleedsmulti-channel phase data combinationphase imagingquantitative susceptibility mappingstrokesusceptibility-weighted imaging

Identifiers

PMID27192086
PMCPMC5116013
OpenAlexW2398539186

What OpenQuestion holds

Textmetadata
LicenceTDM
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.