Evidence map›Paper›PMID 30325058›Full record

ArticleMagnetic resonance in medicine2019

True phase quantitative susceptibility mapping using continuous single-point imaging: a feasibility study.

Hyungseok Jang, Xing Lu, Michael Carl, Adam C Searleman, Saeed Jerban, Yajun Ma, Annette von Drygalski, Eric Y Chang, Jiang Du

Abstract read
In one paragraph

Article in Magnetic resonance in medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
2.2field-weighted citation impact, top 12% 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

16 citing papers in PubMed, 1 synthesis or guideline pooled it, 23 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Review
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. 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

9 authors at 1 institution in 2 countries.

Hyungseok JangDepartment of Radiology, University of California San Diego, San Diego, California.
Xing LuDepartment of Radiology, University of California San Diego, San Diego, California.
Michael CarlGE Healthcare, San Diego, California.
Adam C SearlemanDepartment of Radiology, University of California San Diego, San Diego, California.
Saeed JerbanDepartment of Radiology, University of California San Diego, San Diego, California.
Yajun MaDepartment of Radiology, University of California San Diego, San Diego, California.
Annette von DrygalskiDepartment of Medicine, Division of Hematology/Oncology, University of California, San Diego, California.
Eric Y ChangDepartment of Radiology, University of California San Diego, San Diego, California.
Jiang DuDepartment of Radiology, University of California San Diego, San Diego, California.
University of California, San Diego · US

Funding

Ultrashort Echo Time (UTE) Magnetic Resonance Imaging of BoneR01AR068987 · NIAMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI DU, JIANG · 2015 to 2024
$4.9M
Traning Clinical Scientists in Radiological ImagingT32EB005970 · NIBIB · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Eric Y Chang, Rebecca Ann Rakow-Penner · 2007 to 2026
$3.2M
UTE Magnetic Resonance Imaging: New Biomarkers for Multiple SclerosisR01NS092650 · NINDS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI DU, JIANG · 2015 to 2019
$1.9M
Quantitative Magnetic Resonance Imaging of Human Rotator Cuff TendonI01CX001388 · VA · VA SAN DIEGO HEALTHCARE SYSTEM · PI CHANG, ERIC Y · 2016 to 2024
–
Quantitative Measurement of Joint pH with Magnetic Resonance ImagingI01RX002604 · VA · VA SAN DIEGO HEALTHCARE SYSTEM · PI CHANG, ERIC Y · 2018 to 2022
–
CSRD VA I01 CX001388GE HealthcareNational Natural Science Foundation of China 51607169NIAMS NIH HHS 1R01AR068987NIAMS NIH HHS 1R01NS092650NIAMS NIH HHS R01 AR068987NIBIB NIH HHS T32 EB005970NIBIB NIH HHS T32EB005970NIH HHS 1R01AR068987NIH HHS 1R01NS092650NIH HHS T32EB005970NINDS NIH HHS R01 NS092650RRD VA I01 RX002604Veterans Affairs 1I01CX001388Veterans Affairs 1I01RX002604Veterans Affairs San Diego Healthcare System 1I01CX001388Veterans Affairs San Diego Healthcare System 1I01RX002604
6 · The paper itself

Abstract

purposeIn this study, we explore the feasibility of a new imaging scheme for quantitative susceptibility mapping (QSM): continuous single-point imaging (CSPI), which uses a pure phase encoding strategy to achieve true phase imaging and improve QSM accuracy.

methodsThe proposed CSPI is a modification of conventional SPI to allow acquisition of multiple echoes in a single scan. Immediately following a phase encoding gradient, the free induction decay is continuously sampled with extremely high temporal resolution to obtain k-space data at a fixed spatial frequency (i.e., at a fixed k-space coordinate). By having near-0 readout duration, CSPI results in a true snapshot of the transverse magnetization at each TE. Additionally, parallel imaging with autocalibration is utilized to reduce scan time, and an optional temporal averaging strategy is presented to improve signal-to-noise ratio for objects with low proton density or short T2* decay. The reconstructed CSPI images were input to a QSM framework based on morphology enabled dipole inversion.

resultIn an experiment performed using iron phantoms, susceptibility estimated using CSPI showed high linearity (R

conclusionWe have demonstrated the feasibility of using CSPI to obtain true phase images for QSM.

Indexed as

Magnetic Resonance ImagingAdultAlgorithmsCadaverCalibrationFeasibility StudiesFemaleHumansImage Processing, Computer-AssistedImaging, Three-DimensionalIronLinear ModelsMaleMiddle AgedPhantoms, ImagingReproducibility of ResultsIronboneironQSMSPIsusceptibility

Identifiers

PMID30325058
PMCPMC6347538
OpenAlexW2895839778

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.