Evidence map›Paper›PMID 30799575›Full record

ArticleKorean journal of radiology2019

High Acceleration Three-Dimensional T1-Weighted Dual Echo Dixon Hepatobiliary Phase Imaging Using Compressed Sensing-Sensitivity Encoding: Comparison of Image Quality and Solid Lesion Detectability with the Standard T1-Weighted Sequence.

Ju Gang Nam, Jeong Min Lee, Sang Min Lee, Hyo Jin Kang, Eun Sun Lee, Bo Yun Hur, Jeong Hee Yoon, EunJu Kim, Mariya Doneva

Abstract read
In one paragraph

Article in Korean journal of radiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing 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

33 citing papers in PubMed.

  1. High-spatial-resolution Hepatobiliary Phase Imaging Using An Optimized Integrated Combination of Parallel Imaging and Compressed Sensing Technique.Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine · 2025
    Article
  2. Review
  3. Article
  4. Utility of Echo-planar Imaging with Compressed Sensitivity Encoding (EPICS) in the Evaluation of Small Breast Cancers Using Diffusion-weighted Imaging with Background Suppression (DWIBS).Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine · 2025
    Article
  5. Effect of the Relationship between Respiratory Interval and Temporal Resolution on Image Quality in Free-breathing Abdominal MR Imaging.Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine · 2025
    Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Advanced MRI techniques in abdominal imaging.Abdominal radiology (New York) · 2024
    Review
  13. Article
  14. Article
  15. Article
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  19. Model-based Deep Learning Reconstruction Using a Folded Image Training Strategy for Abdominal 3D T1-weighted Imaging.Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine · 2023
    Article
  20. 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.

Ju Gang NamDepartment of Radiology, Seoul National University Hospital, Seoul, Korea.ORCID 0000-0003-3991-4523
Jeong Min LeeDepartment of Radiology, Seoul National University Hospital, Seoul, Korea.ORCID 0000-0003-0561-8777
Sang Min LeeDepartment of Radiology, Seoul National University Hospital, Seoul, Korea.
Hyo Jin KangDepartment of Radiology, Seoul National University Hospital, Seoul, Korea.
Eun Sun LeeDepartment of Radiology, Chung-Ang University Hospital, Seoul, Korea.
Bo Yun HurDepartment of Radiology, National Cancer Center, Goyang, Korea.
Jeong Hee YoonDepartment of Radiology, Seoul National University Hospital, Seoul, Korea.
EunJu KimDepartment of Clinical Science, MR, Philips Healthcare Korea, Seoul, Korea.
Mariya DonevaPhilips Research Hamburg, Hamburg, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo compare a high acceleration three-dimensional (3D) T1-weighted gradient-recalled-echo (GRE) sequence using the combined compressed sensing (CS)-sensitivity encoding (SENSE) method with a conventional 3D GRE sequence using SENSE, with respect to image quality and detectability of solid focal liver lesions (FLLs) in the hepatobiliary phase (HBP) of gadoxetic acid-enhanced liver MRI. MATERIALS AND

methodsA total of 217 patients with gadoxetic acid-enhanced liver MRI at 3T (54 in the preliminary study and 163 in the main study) were retrospectively included. In the main study, HBP imaging was done twice using the standard mDixon-3D-GRE technique with SENSE (acceleration factor [AF]: 2.8, standard mDixon-GRE) and the high acceleration mDixon-3D GRE technique using the combined CS-SENSE technique (CS-SENSE mDixon-GRE). Two abdominal radiologists assessed the two MRI data sets for image quality in consensus. Three other abdominal radiologists independently assessed the diagnostic performance of each data set and its ability to detect solid FLLs in 117 patients with 193 solid nodules and compared them using jackknife alternative free-response receiver operating characteristics (JAFROC).

resultsThere was no significant difference in the overall image quality. CS-SENSE mDixon-GRE showed higher image noise, but lesser motion artifact levels compared with the standard mDixon-GRE (all

conclusionThe CS-SENSE mDixon-GRE HBP sequence provided comparable overall image quality and non-inferior solid FFL detectability compared with the standard mDixon-GRE sequence, with reduced acquisition time.

Indexed as

Magnetic Resonance ImagingAdultAgedAlgorithmsArea Under CurveArtifactsBile DuctsContrast MediaFemaleHumansImage Interpretation, Computer-AssistedImaging, Three-DimensionalLiverMaleMiddle AgedPancreasContrast MediaCompressed sensingCS-SENSELiver MRIParallel imagingSparse reconstructionT1-weighted sequence

Identifiers

PMID30799575
PMCPMC6389821

What OpenQuestion holds

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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 OpenQuestion graph.