Evidence map›Paper›PMID 35933785›Full record

SynthesisJournal of clinical neuroscience : official journal of the Neurosurgical Society of Australasia2022

Applications of elastography in operative neurosurgery: A systematic review.

Andrew M Hersh, Carly Weber-Levine, Kelly Jiang, Lisa Young, Max Kerensky, Denis Routkevitch, Yohannes Tsehay, Alexander Perdomo-Pantoja, Brendan F Judy, Daniel Lubelski and 2 more

Open access · greenAbstract readSystematic Review
In one paragraph

Synthesis in Journal of clinical neuroscience : official journal of the Neurosurgical Society of Australasia, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.6field-weighted citation impact, top 18% 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

9 citing papers in PubMed, 12 citations in OpenAlex.

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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

12 authors at 4 institutions in 1 country.

Andrew M HershDepartment of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, MD, United States.
Carly Weber-LevineDepartment of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, MD, United States.
Kelly JiangDepartment of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, MD, United States.
Lisa YoungDepartment of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, MD, United States.
Max KerenskyDepartment of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD, United States.
Denis RoutkevitchDepartment of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, MD, United States; Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD, United States.
Yohannes TsehayDepartment of Neurosurgery, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, United States.
Alexander Perdomo-PantojaDepartment of Neurosurgery, Washington University School of Medicine, St. Louis, MO, United States.
Brendan F JudyDepartment of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, MD, United States.
Daniel LubelskiDepartment of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, MD, United States.
Nicholas TheodoreDepartment of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, MD, United States; Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD, United States. Electronic address: theodore@jhmi.edu.
Amir ManbachiDepartment of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, MD, United States; Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD, United States.
Johns Hopkins Medicine · USJohns Hopkins University · USUniversity of Pennsylvania · USWashington University in St. Louis · US

Funding

Medical Scientist Training ProgramT32GM136577 · NIGMS · JOHNS HOPKINS UNIVERSITY · PI ANDREA L COX · 2020 to 2026
$13.4M
NIGMS NIH HHS T32 GM136577
6 · The paper itself

Abstract

Elastography is an imaging technology capable of measuring tissue stiffness and consistency. The technology has achieved widespread use in the workup and management of diseases of the liver, breast, thyroid, and prostate. Although elastography is increasingly being applied in neurosurgery, it has not yet achieved widespread adoption and many clinicians remain unfamiliar with the technology. Therefore, we sought to summarize the range of applications and elastography modalities available for neurosurgery, report its effectiveness in comparison with conventional imaging methods, and offer recommendations. All full-text English-language manuscripts on the use of elastography for neurosurgical procedures were screened using the PubMed/MEDLINE, Embase, Cochrane Library, Scopus, and Web of Science databases. Thirty-two studies were included with 990 patients, including 21 studies on intracranial tumors, 5 on hydrocephalus, 4 on epilepsy, 1 on spinal cord compression, and 1 on adolescent scoliosis. Twenty studies used ultrasound elastography (USE) whereas 12 used magnetic resonance elastography (MRE). MRE studies were mostly used in the preoperative setting for assessment of lesion stiffness, tumor-brain adherence, diagnostic workup, and operative planning. USE studies were performed intraoperatively to guide resection of lesions, determine residual microscopic abnormalities, assess the tumor-brain interface, and study mechanical properties of tumors. Elastography can assist with resection of brain tissue, detection of microscopic lesions, and workup of hydrocephalus, among other applications under investigation. Its sensitivity often exceeds that of conventional MRI and ultrasound for identifying abnormal tissue and lesion margins.

Indexed as

Elasticity Imaging TechniquesHydrocephalusNeurosurgeryAdolescentHumansMagnetic Resonance ImagingMaleNeurosurgical ProceduresElastographyEpilepsyHydrocephalusNeurosurgeryStiffnessTumorUltrasound

Identifiers

PMID35933785
PMCPMC11023619
OpenAlexW4292679225

What OpenQuestion holds

Textmetadata
LicenceTDM
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.