Evidence map›Paper›PMID 33588595›Full record

ArticleStroke2021

Automated Quantification of Reduced Sulcal Volume Identifies Early Brain Injury After Aneurysmal Subarachnoid Hemorrhage.

Jane Y Yuan, Yasheng Chen, Atul Kumar, Zach Zlepper, Keshav Jayaraman, Wint Y Aung, Julian V Clarke, Michelle Allen, Umeshkumar Athiraman, Joshua Osbun and 2 more

Open access · bronzeAbstract read
In one paragraph

Article in Stroke, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
1.6field-weighted citation impact, top 14% 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

20 citing papers in PubMed, 24 citations in OpenAlex.

  1. Trial
  2. Trial
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Review
  12. Article
  13. Article
  14. Article
  15. Review
  16. Review
  17. Article
  18. Review
  19. Article
  20. 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

12 authors at 1 institution in 1 country.

Jane Y YuanDepartment of Neurosurgery (J.Y.Y., K.J., J.V.C., J.O., G.J.Z.), Washington University in St. Louis School of Medicine, St Louis, MO.
Yasheng ChenDepartment of Neurology (Y.C., A.K., Z.Z., W.Y.A., M.A., G.J.Z., R.D.), Washington University in St. Louis School of Medicine, St Louis, MO.
Atul KumarDepartment of Neurology (Y.C., A.K., Z.Z., W.Y.A., M.A., G.J.Z., R.D.), Washington University in St. Louis School of Medicine, St Louis, MO.
Zach ZlepperDepartment of Neurology (Y.C., A.K., Z.Z., W.Y.A., M.A., G.J.Z., R.D.), Washington University in St. Louis School of Medicine, St Louis, MO.
Keshav JayaramanDepartment of Neurosurgery (J.Y.Y., K.J., J.V.C., J.O., G.J.Z.), Washington University in St. Louis School of Medicine, St Louis, MO.
Wint Y AungDepartment of Neurology (Y.C., A.K., Z.Z., W.Y.A., M.A., G.J.Z., R.D.), Washington University in St. Louis School of Medicine, St Louis, MO.
Julian V ClarkeDepartment of Neurosurgery (J.Y.Y., K.J., J.V.C., J.O., G.J.Z.), Washington University in St. Louis School of Medicine, St Louis, MO.
Michelle Allen
Umeshkumar AthiramanDepartment of Anesthesiology (U.A.), Washington University in St. Louis School of Medicine, St Louis, MO.
Joshua OsbunDepartment of Neurosurgery (J.Y.Y., K.J., J.V.C., J.O., G.J.Z.), Washington University in St. Louis School of Medicine, St Louis, MO.
Gregory J ZipfelDepartment of Neurosurgery (J.Y.Y., K.J., J.V.C., J.O., G.J.Z.), Washington University in St. Louis School of Medicine, St Louis, MO.
Rajat DharDepartment of Neurology (Y.C., A.K., Z.Z., W.Y.A., M.A., G.J.Z., R.D.), Washington University in St. Louis School of Medicine, St Louis, MO.
Washington University in St. Louis · US

Funding

Washington University Institute of Clinical and Translational Sciences (TL1)TL1TR002344 · NCATS · WASHINGTON UNIVERSITY · PI Jay F. Piccirillo · 2017 to 2026
$8.5M
TRAINING PROGRAM IN ANESTHESIOLOGY RESEARCHT32GM108539 · NIGMS · WASHINGTON UNIVERSITY · PI Aaron J Norris · 2014 to 2026
$4.9M
GENETICS AND PREDICTION OF CEREBRAL EDEMA AFTER HEMISPHERIC STROKEK23NS099440 · NINDS · WASHINGTON UNIVERSITY · PI DHAR, RAJAT · 2017 to 2021
$890k
NCATS NIH HHS TL1 TR002344NIGMS NIH HHS T32 GM108539NINDS NIH HHS K23 NS099440
6 · The paper itself

Abstract

background and purposeEarly brain injury may be a more significant contributor to poor outcome after aneurysmal subarachnoid hemorrhage (aSAH) than vasospasm and delayed cerebral ischemia. However, studying this process has been hampered by lack of a means of quantifying the spectrum of injury. Global cerebral edema (GCE) is the most widely accepted manifestation of early brain injury but is currently assessed only through subjective, qualitative or semi-quantitative means. Selective sulcal volume (SSV), the CSF volume above the lateral ventricles, has been proposed as a quantitative biomarker of GCE, but is time-consuming to measure manually. Here we implement an automated algorithm to extract SSV and evaluate the age-dependent relationship of reduced SSV on early outcomes after aSAH.

methodsWe selected all adults with aSAH admitted to a single institution with imaging within 72 hours of ictus. Scans were assessed for qualitative presence of GCE. SSV was automatically segmented from serial CTs using a deep learning-based approach. Early SSV was the lowest SSV from all early scans. Modified Rankin Scale score of 4 to 6 at hospital discharge was classified as a poor outcome.

resultsTwo hundred forty-four patients with aSAH were included. Sixty-five (27%) had GCE on admission while 24 developed it subsequently within 72 hours. Median SSV on admission was 10.7 mL but frequently decreased, with minimum early SSV being 3.0 mL (interquartile range, 0.3-11.9). Early SSV below 5 mL was highly predictive of qualitative GCE (area under receiver-operating-characteristic curve, 0.90). Reduced early SSV was an independent predictor of poor outcome, with a stronger effect in younger patients.

conclusionsAutomated assessment of SSV provides an objective biomarker of GCE that can be leveraged to quantify early brain injury and dissect its impact on outcomes after aSAH. Such quantitative analysis suggests that GCE may be more impactful to younger patients with SAH.

Indexed as

AlgorithmsBrain InjuriesCerebrospinal FluidHumansSubarachnoid HemorrhageTomography, X-Ray Computedbrain edemacerebrospinal fluiddeep learningintracranial aneurysmsubarachnoid hemorrhage

Identifiers

PMID33588595
PMCPMC7987771
OpenAlexW3132881042

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.