Evidence map›Paper›PMID 33262385›Full record

ArticleScientific reports2020

Novel tonometer device distinguishes brain stiffness in epilepsy surgery.

Aria Fallah, Thirusivapragasam Subramaniam, H Westley Phillips, Xavier Michalet, Harry V Vinters, William H Yong, Joyce Y Wu, Noriko Salamon, Benjamin M Ellingson, Anthony C Wang and 9 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.4field-weighted citation impact, top 32% 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

1 citing paper in PubMed, 7 citations in OpenAlex.

  1. 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

19 authors at 4 institutions in 2 countries.

Aria FallahDepartment of Neurosurgery, David Geffen School of Medicine at UCLA, 300 Stein Plaza, Suite 525, Los Angeles, CA, 90095-6901, USA. AFallah@mednet.ucla.edu.
Thirusivapragasam SubramaniamDepartment of Neurosurgery, David Geffen School of Medicine at UCLA, 300 Stein Plaza, Suite 525, Los Angeles, CA, 90095-6901, USA.
H Westley PhillipsDepartment of Neurosurgery, David Geffen School of Medicine at UCLA, 300 Stein Plaza, Suite 525, Los Angeles, CA, 90095-6901, USA.
Xavier MichaletDepartment of Chemistry and Biochemistry, UCLA, Los Angeles, USA.
Harry V VintersDepartment of Pathology and Laboratory Medicine, David Geffen School of Medicine at UCLA, Los Angeles, USA.
William H YongDepartment of Pathology and Laboratory Medicine, David Geffen School of Medicine at UCLA, Los Angeles, USA.
Joyce Y WuDivision of Pediatric Neurology, David Geffen School of Medicine at UCLA, Los Angeles, USA.
Noriko SalamonDepartment of Radiological Sciences, David Geffen School of Medicine at UCLA, Los Angeles, USA.
Benjamin M EllingsonDepartment of Radiological Sciences, David Geffen School of Medicine at UCLA, Los Angeles, USA.
Anthony C WangDepartment of Neurosurgery, David Geffen School of Medicine at UCLA, 300 Stein Plaza, Suite 525, Los Angeles, CA, 90095-6901, USA.
Samuel D ReyesDepartment of Neurosurgery, David Geffen School of Medicine at UCLA, 300 Stein Plaza, Suite 525, Los Angeles, CA, 90095-6901, USA.
George M IbrahimDivision of Neurosurgery, The Hospital for Sick Children, University of Toronto, Toronto, Canada.
Alexander G WeilDivision of Neurosurgery, Ste. Justine Hospital, University of Montreal, Montreal, Canada.
Julia W ChangDepartment of Neurosurgery, David Geffen School of Medicine at UCLA, 300 Stein Plaza, Suite 525, Los Angeles, CA, 90095-6901, USA.
Diana BabayanDepartment of Neurosurgery, David Geffen School of Medicine at UCLA, 300 Stein Plaza, Suite 525, Los Angeles, CA, 90095-6901, USA.
Jimmy C NguyenDepartment of Clinical Neurophysiology, David Geffen School of Medicine at UCLA, Los Angeles, USA.
Eric BehnkeDepartment of Neurosurgery, David Geffen School of Medicine at UCLA, 300 Stein Plaza, Suite 525, Los Angeles, CA, 90095-6901, USA.
Chi-Hong TsengDepartment of Medicine, David Geffen School of Medicine at UCLA, Los Angeles, USA.
Gary W MathernDepartment of Neurosurgery, David Geffen School of Medicine at UCLA, 300 Stein Plaza, Suite 525, Los Angeles, CA, 90095-6901, USA.
University of California, Los Angeles · USNeurobehavioral Systems · USUniversité de Montréal · CAUniversity of Toronto · CA

Funding

PATHOPHYSIOLOGY OF DEVELOPING DYSPLASTIC HUMAN CORTEXR01NS038992 · NINDS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI CEPEDA, CARLOS T, MATHERN, GARY W. · 1999 to 2013
$3.3M
NINDS NIH HHS NS38992NINDS NIH HHS R01 NS038992
6 · The paper itself

Abstract

Complete surgical resection of abnormal brain tissue is the most important predictor of seizure freedom following surgery for cortical dysplasia. While lesional tissue is often visually indiscernible from normal brain, anecdotally, it is subjectively stiffer. We report the first experience of the use of a digital tonometer to understand the biomechanical properties of epilepsy tissue and to guide the conduct of epilepsy surgery. Consecutive epilepsy surgery patients (n = 24) from UCLA Mattel Children's Hospital were recruited to undergo intraoperative brain tonometry at the time of open craniotomy for epilepsy surgery. Brain stiffness measurements were corrected with abnormalities on neuroimaging and histopathology using mixed-effects multivariable linear regression. We collected 249 measurements across 30 operations involving 24 patients through the pediatric epilepsy surgery program at UCLA Mattel Children's Hospital. On multivariable mixed-effects regression, brain stiffness was significantly associated with the presence of MRI lesion (β = 32.3, 95%CI 16.3-48.2; p < 0.001), severity of cortical disorganization (β = 19.8, 95%CI 9.4-30.2; p = 0.001), and recent subdural grid implantation (β = 42.8, 95%CI 11.8-73.8; p = 0.009). Brain tonometry offers the potential of real-time intraoperative feedback to identify abnormal brain tissue with millimeter spatial resolution. We present the first experience with this novel intraoperative tool for the conduct of epilepsy surgery. A carefully designed prospective study is required to elucidate whether the clinical application of brain tonometry during resective procedures could guide the area of resection and improve seizure outcomes.

Indexed as

AdolescentAdultBrainChildChild, PreschoolElasticityEpilepsyFemaleHumansInfantInfant, NewbornMaleManometryMiddle AgedROC CurveYoung Adult

Identifiers

PMID33262385
PMCPMC7708453
OpenAlexW3108324037

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.