Evidence map›Paper›PMID 39058057›Full record

ArticleTomography (Ann Arbor, Mich.)2024

Joint

Yuting Peng, Yan Dai, Shu Zhang, Jie Deng, Xun Jia

Abstract read
In one paragraph

Article in Tomography (Ann Arbor, Mich.), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Yuting PengDepartment of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins University, Baltimore, MD 21287, USA.ORCID 0000-0003-2360-5638
Yan DaiDepartment of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA.
Shu ZhangDepartment of Radiology, Houston Methodist Research Institute, Houston, TX 77030, USA.ORCID 0000-0003-0433-1977
Jie DengDepartment of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA.ORCID 0000-0002-2518-7989
Xun JiaDepartment of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins University, Baltimore, MD 21287, USA.ORCID 0000-0001-6159-2909

Funding

Next generation small animal radiation research platformR37CA214639 · NCI · UT SOUTHWESTERN MEDICAL CENTER · PI JIA, XUN · 2018 to 2024
$3.8M
Adversarially Based Virtual CT Workflow for Evaluation of AI in Medical ImagingR01EB032716 · NIBIB · RENSSELAER POLYTECHNIC INSTITUTE · PI JIA, XUN, MUELLER, KLAUS · 2022 to 2025
$2.5M
Precise image guidance for liver cancer stereotactic body radiotherapy using element-resolved motion-compensated cone beam CTR01CA227289 · NCI · UT SOUTHWESTERN MEDICAL CENTER · PI JIA, XUN · 2018 to 2022
$2.0M
NCI NIH HHS R01 CA227289NCI NIH HHS R37 CA214639NIBIB NIH HHS R01 EB032716NIH HHS 1R01CA227289-24A1NIH HHS 1R01EB032716-26A1NIH HHS 1R37CA214639-28A1
6 · The paper itself

Abstract

Chemical exchange saturation transfer (CEST) magnetic resonance imaging (MRI) is a novel MRI technology to image certain compounds at extremely low concentrations. Long acquisition time to measure signals at a set of offset frequencies of the Z-spectra and to repeat measurements to reduce noise pose significant challenges to its applications. This study explores correlations of CEST MR images along the spatial and Z-spectral dimensions to improve MR image quality and robustness of magnetization transfer ratio (MTR) asymmetry estimation via a joint

Indexed as

Image Processing, Computer-AssistedMagnetic Resonance ImagingPhantoms, ImagingAlgorithmsCholineHumansSignal-To-Noise RatioCholineCESTdata fittingjointreconstructionZ-spectra

Identifiers

PMID39058057
PMCPMC11280605

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.