Evidence map›Paper›PMID 34997164›Full record

Observational studyScientific reports2022

Correcting B

Leonardino A Digma, Christine H Feng, Christopher C Conlin, Ana E Rodríguez-Soto, Allison Y Zhong, Troy S Hussain, Asona J Lui, Kanha Batra, Aaron B Simon, Roshan Karunamuni and 5 more

Open access · goldAbstract readObservational Study
PubMed Full text at PMC Publisher
In one paragraph

Observational study in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
3.9field-weighted citation impact, top 6% 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

4 citing papers in PubMed, 27 citations in OpenAlex.

  1. Article
  2. Article
  3. A whole-body diffusion MRI normal atlas: development, evaluation and initial use.Cancer imaging : the official publication of the International Cancer Imaging Society · 2023
    Article
  4. A method for measuring BMagnetic resonance in medicine · 2023
    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

15 authors at 2 institutions in 1 country.

Leonardino A Digma *Department of Radiation Medicine and Applied Sciences, School of Medicine, University of California San Diego, 9500 Gilman Drive, Mail Code 0861, La Jolla, CA, 92093-0861, USA.
Christine H Feng *Department of Radiation Medicine and Applied Sciences, School of Medicine, University of California San Diego, 9500 Gilman Drive, Mail Code 0861, La Jolla, CA, 92093-0861, USA.
Christopher C ConlinDepartment of Radiology, School of Medicine, UC San Diego, 9500 Gilman Drive, La Jolla, CA, 92093, USA.
Ana E Rodríguez-SotoDepartment of Radiology, School of Medicine, UC San Diego, 9500 Gilman Drive, La Jolla, CA, 92093, USA.
Allison Y ZhongDepartment of Radiation Medicine and Applied Sciences, School of Medicine, University of California San Diego, 9500 Gilman Drive, Mail Code 0861, La Jolla, CA, 92093-0861, USA.
Troy S HussainDepartment of Radiation Medicine and Applied Sciences, School of Medicine, University of California San Diego, 9500 Gilman Drive, Mail Code 0861, La Jolla, CA, 92093-0861, USA.
Asona J LuiDepartment of Radiation Medicine and Applied Sciences, School of Medicine, University of California San Diego, 9500 Gilman Drive, Mail Code 0861, La Jolla, CA, 92093-0861, USA.
Kanha BatraDepartment of Electrical and Computer Engineering, UC San Diego, 9500 Gilman Drive, La Jolla, CA, 92093, USA.
Aaron B SimonDepartment of Radiation Medicine and Applied Sciences, School of Medicine, University of California San Diego, 9500 Gilman Drive, Mail Code 0861, La Jolla, CA, 92093-0861, USA.
Roshan KarunamuniDepartment of Radiation Medicine and Applied Sciences, School of Medicine, University of California San Diego, 9500 Gilman Drive, Mail Code 0861, La Jolla, CA, 92093-0861, USA.
Joshua KupermanDepartment of Radiology, School of Medicine, UC San Diego, 9500 Gilman Drive, La Jolla, CA, 92093, USA.
Rebecca Rakow-PennerDepartment of Radiology, School of Medicine, UC San Diego, 9500 Gilman Drive, La Jolla, CA, 92093, USA.
Michael E HahnDepartment of Radiology, School of Medicine, UC San Diego, 9500 Gilman Drive, La Jolla, CA, 92093, USA.
Anders M DaleDepartment of Radiology, School of Medicine, UC San Diego, 9500 Gilman Drive, La Jolla, CA, 92093, USA.
Tyler M SeibertDepartment of Radiation Medicine and Applied Sciences, School of Medicine, University of California San Diego, 9500 Gilman Drive, Mail Code 0861, La Jolla, CA, 92093-0861, USA. tseibert@health.ucsd.edu.
University of California, San Diego · USLa Jolla Bioengineering Institute · US

Funding

UCSD Medical Student Summer Aging Research TrainingT35AG026757 · NIA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Benjamin Hyun Han, Ellen Eun-Ok Lee · 2005 to 2026
$2.2M
Improving assessment of prostate cancer bone metastases using advanced diffusion imagingK08EB026503 · NIBIB · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI SEIBERT, TYLER MICHAEL · 2019 to 2022
$805k
National Institutes of Health/National Institute of Biomedical Imaging and Bioengineering K08EB026503NIA NIH HHS AG26757NIA NIH HHS T35 AG026757NIBIB NIH HHS K08 EB026503
6 · The paper itself

Abstract

Diffusion-weighted magnetic resonance imaging (DWI) of the musculoskeletal system has various applications, including visualization of bone tumors. However, DWI acquired with echo-planar imaging is susceptible to distortions due to static magnetic field inhomogeneities. This study aimed to estimate spatial displacements of bone and to examine whether distortion corrected DWI images more accurately reflect underlying anatomy. Whole-body MRI data from 127 prostate cancer patients were analyzed. The reverse polarity gradient (RPG) technique was applied to DWI data to estimate voxel-level distortions and to produce a distortion corrected DWI dataset. First, an anatomic landmark analysis was conducted, in which corresponding vertebral landmarks on DWI and anatomic T

Indexed as

Diffusion Magnetic Resonance ImagingWhole Body ImagingArtifactsBone NeoplasmsHumansImage Interpretation, Computer-AssistedMalePredictive Value of TestsProspective StudiesProstatic NeoplasmsReproducibility of Results

Identifiers

PMID34997164
PMCPMC8741963
OpenAlexW4205601633

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.