Evidence map›Paper›PMID 37025889›Full record

ArticleHeliyon2023

Tectonic infarct analysis: A computational tool for automated whole-brain infarct analysis from TTC-stained tissue.

Briana A Santo, Shiau-Sing K Ciecierska, S Mostafa Mousavi Janbeh Sarayi, TaJania D Jenkins, Ammad A Baig, Andre Monteiro, Carmon Koenigsknecht, Donald Pionessa, Liza Gutierrez, Robert M King and 3 more

Open access · goldAbstract read
In one paragraph

Article in Heliyon, 2023. 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
1.3field-weighted citation impact, top 20% 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, 6 citations in OpenAlex.

  1. Article
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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

13 authors at 2 institutions in 1 country.

Briana A SantoCanon Stroke and Vascular Research Center, Buffalo, NY, USA.
Shiau-Sing K CiecierskaCanon Stroke and Vascular Research Center, Buffalo, NY, USA.
S Mostafa Mousavi Janbeh SarayiCanon Stroke and Vascular Research Center, Buffalo, NY, USA.
TaJania D JenkinsCanon Stroke and Vascular Research Center, Buffalo, NY, USA.
Ammad A BaigCanon Stroke and Vascular Research Center, Buffalo, NY, USA.
Andre MonteiroCanon Stroke and Vascular Research Center, Buffalo, NY, USA.
Carmon KoenigsknechtCanon Stroke and Vascular Research Center, Buffalo, NY, USA.
Donald PionessaCanon Stroke and Vascular Research Center, Buffalo, NY, USA.
Liza GutierrezCanon Stroke and Vascular Research Center, Buffalo, NY, USA.
Robert M KingDepartment of Radiology, University of Massachusetts Chan Medical School, USA.
Matthew GounisDepartment of Radiology, University of Massachusetts Chan Medical School, USA.
Adnan H SiddiquiCanon Stroke and Vascular Research Center, Buffalo, NY, USA.
Vincent M TutinoCanon Stroke and Vascular Research Center, Buffalo, NY, USA.
Canon (United States) · USUniversity of Massachusetts Chan Medical School · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Infarct volume measured from 2,3,5-triphenyltetrazolium chloride (TTC)-stained brain slices is critical to Methods: Three rat ischemic stroke cohorts were used in this study (Total Results: Both high segmentation and statistically significant quantification performance (correlation between manual and software) were observed across all datasets. Segmentation performance: Cohort 1 brain accuracy = 0.95/f1-score = 0.90, infarct accuracy = 0.96/f1-score = 0.89; Cohort 2 brain accuracy = 0.97/f1-score = 0.90, infarct accuracy = 0.97/f1-score = 0.80; Cohort 3 brain accuracy = 0.96/f1-score = 0.92, infarct accuracy = 0.95/f1-score = 0.82. Infarct quantification (cohort average): V Conclusion: Tectonic Infarct Analysis software offers a robust and adaptable approach for rapid TTC-based stroke assessment.

Indexed as

Acute ischemic strokeBrain infarctDigital pathologyMiddle cerebral artery occlusion modelSoftwareTTC staining

Identifiers

PMID37025889
PMCPMC10070917
OpenAlexW4360874264

What OpenQuestion holds

Textmetadata
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.