Evidence map›Paper›PMID 38641212›Full record

ArticleMagnetic resonance imaging2024

Precision of liver and pancreas apparent diffusion coefficients using motion-compensated gradient waveforms in DWI.

Jitka Starekova, Ruiqi Geng, Zihan Wang, Yuxin Zhang, Nataliya V Uboha, Ali Pirasteh, Diego Hernando

Open access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Magnetic resonance imaging, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.4field-weighted citation impact, top 40% 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

2 citing papers in PubMed, 1 citations in OpenAlex.

  1. Article
  2. Review
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

7 authors at 1 institution in 1 country.

Jitka StarekovaDepartment of Radiology, University of Wisconsin, Madison, WI, USA. Electronic address: starekova@wisc.edu.
Ruiqi GengDepartment of Radiology, University of Wisconsin, Madison, WI, USA; Department of Medical Physics, University of Wisconsin, Madison, WI, USA. Electronic address: rgeng5@wisc.edu.
Zihan WangDepartment of Radiology, University of Wisconsin, Madison, WI, USA. Electronic address: zwang379@jhmi.edu.
Yuxin ZhangDepartment of Radiology, University of Wisconsin, Madison, WI, USA; Department of Medical Physics, University of Wisconsin, Madison, WI, USA. Electronic address: annie.yx.zhang1994@gmail.com.
Nataliya V UbohaDivision of Hematology, Medical Oncology and Palliative Care, Department of Medicine, University of Wisconsin, School of Medcine and Public Health, Madison, WI, USA; Carbone Cancer Center, University of Wisconsin, Madison, WI, USA. Electronic address: nvuboha@medicine.wisc.edu.
Ali PirastehDepartment of Radiology, University of Wisconsin, Madison, WI, USA; Department of Medical Physics, University of Wisconsin, Madison, WI, USA. Electronic address: pirasteh@wisc.edu.
Diego HernandoDepartment of Radiology, University of Wisconsin, Madison, WI, USA; Department of Medical Physics, University of Wisconsin, Madison, WI, USA. Electronic address: dhernando@wisc.edu.
University of Wisconsin–Madison · US

Funding

Diffusion MRI of the AbdomenR01EB030497 · NIBIB · UNIVERSITY OF WISCONSIN-MADISON · PI HERNANDO, DIEGO · 2021 to 2021
$1.6M
NIBIB NIH HHS R01 EB030497
6 · The paper itself

Abstract

backgroundDiffusion weighted imaging (DWI) with optimized motion-compensated gradient waveforms reduces signal dropouts in the liver and pancreas caused by cardiovascular-associated motion, however its precision is unknown. We hypothesized that DWI with motion-compensated DW gradient waveforms would improve apparent diffusion coefficient (ADC)-repeatability and inter-reader reproducibility compared to conventional DWI in these organs.

methodsIn this IRB-approved, prospective, single center study, subjects recruited between October 2019 and March 2020 were scanned twice on a 3 T scanner, with repositioning between test and retest. Each scan included two respiratory-triggered DWI series with comparable acquisition time: 1) conventional (monopolar) 2) motion- compensated diffusion gradients. Three readers measured ADC values. One-way ANOVA, Bland-Altman analysis were used for statistical analysis.

resultsEight healthy participants (4 male/4 female), with a mean age of 29 ± 4 years, underwent the liver and pancreas MRI protocol. Four patients with liver metastases (2 male/2 female) with a mean age of 58 ± 5 years underwent the liver MRI protocol. In healthy participants, motion-compensated DWI outperformed conventional DWI with mean repeatability coefficient of 0.14 × 10

conclusionMotion-compensated DWI enhances the precision of ADC measurements in the liver and pancreas compared to conventional DWI.

Indexed as

Diffusion Magnetic Resonance ImagingLiverMotionPancreasAdultFemaleHumansImage Interpretation, Computer-AssistedImage Processing, Computer-AssistedLiver NeoplasmsMaleMiddle AgedProspective StudiesReproducibility of ResultsADCDWILiverPancreasRepeatability

Identifiers

PMID38641212
PMCPMC11098682
OpenAlexW4394935050

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.