Evidence map›Paper›PMID 34354104›Full record

ArticleScientific reports2021

Abnormal [18F]FDG PET/MRI findings in paraspinal structures of patients with suspected cerebrospinal fluid leak.

Daehyun Yoon, Peter William Cipriano, Ryan Penticuff, Jessa Ballesteros Castillo, Yingding Xu, Ian Richard Carroll, Sandip Biswal

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.3field-weighted citation impact, top 38% 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

3 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. Review
  3. 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

7 authors at 3 institutions in 1 country.

Daehyun Yoon *Department of Radiology, Stanford University, 300 Pasteur Drive, Stanford, CA, 94305, USA.
Peter William Cipriano *Department of Radiology, Stanford University, 300 Pasteur Drive, Stanford, CA, 94305, USA.
Ryan PenticuffDepartment of Radiology, UC San Diego School of Medicine, La Jolla, CA, USA.
Jessa Ballesteros CastilloDepartment of Radiology, Stanford University, 300 Pasteur Drive, Stanford, CA, 94305, USA.
Yingding XuNewport Harbor Radiology Associates, Irvine, CA, USA.
Ian Richard CarrollDepartment of Anesthesia Perioperative and Pain Medicine, Stanford University, 300 Pasteur Drive, Stanford, CA, 94305, USA. ic38@stanford.edu.
Sandip BiswalDepartment of Radiology, Stanford University, 300 Pasteur Drive, Stanford, CA, 94305, USA. biswal@stanford.edu.
Stanford University · USNewport (United States) · USUniversity of California, San Diego · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A combination of magnetic resonance imaging (MRI), computed tomography (CT), and radionuclide cisternography are typically used to locate a cerebrospinal fluid (CSF) leak. However, the site of leakage cannot be determined, making treatment more difficult. Therefore, more sensitive imaging tools are needed. A whole-body [18F]fluorodeoxyglucose (FDG) positron emission tomography (PET)/MRI was conducted on six patients with suspected CSF leak and the resulting images were reviewed in comparison with those from six healthy controls. Paraspinal regions of focally increased uptake of [18F]FDG were quantified using maximum standardized uptake values (SUV

Indexed as

AdultCerebrospinal Fluid LeakFemaleFluorodeoxyglucose F18HumansMagnetic Resonance ImagingMaleMiddle AgedParaspinal MusclesPositron-Emission TomographyPositron Emission Tomography Computed TomographyTomography, X-Ray ComputedWhole Body ImagingFluorodeoxyglucose F18

Identifiers

PMID34354104
PMCPMC8342579
OpenAlexW3190520032

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.