Evidence map›Paper›PMID 29745374›Full record

ArticleProgress in advanced computing and intelligent engineering : proceedings of ICACIE 2016. International Conference on Advanced Computing and Intelligent Engineering (2016 : Bhubaneswar, India)2018

Lesion Volume Estimation from TBI-MRI.

O V Sanjay Sarma, Martha Betancur, Ramana Pidaparti, L Karumbaiah

Abstract read
PubMed Full text at PMC
In one paragraph

Article in Progress in advanced computing and intelligent engineering : proceedings of ICACIE 2016. International Conference on Advanced Computing and Intelligent Engineering (2016 : Bhubaneswar, India), 2018. 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
1.0field-weighted citation impact, top 21% 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, 1 citations in OpenAlex.

  1. 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

4 authors at 1 institution in 1 country.

O V Sanjay SarmaCollege of Engineering, University of Georgia, Athens, GA, USA.
Martha BetancurRegenerative Bioscience Center, The University of Georgia, Athens, GA, USA.
Ramana PidapartiCollege of Engineering, University of Georgia, Athens, GA, USA.
L KarumbaiahRegenerative Bioscience Center, The University of Georgia, Athens, GA, USA.
University of Georgia · US

Funding

Creating Endogenous Stem Cell Niches to Promote Functional Brain Repair Post-TBIR01NS099596 · NINDS · UNIVERSITY OF GEORGIA · PI KARUMBAIAH, LOHITASH · 2017 to 2021
$1.6M
NINDS NIH HHS R01 NS099596
6 · The paper itself

Abstract

Traumatic brain injury (TBI) is a major problem affecting millions of people around the world every year. Usually, TBI results from any direct or indirect physical impact, sudden jerks, or blunt impacts to the head, leading to damage to the brain. Current research in TBI is focused on analyzing the biological and behavioral states of patients prone to such injuries. This paper presents a technique applied on MRI images in estimation of lesion volumes in brain tissues of traumatic brain-injured laboratory rats that were subjected to controlled cortical impacts. The lesion region in the brain tissue is estimated using segmentation of the brain, diffusion, and the damage regions. After the segmentation, the area of the damaged portion is estimated across each slice of MRI and the combined volume of damage is estimated through 3D reconstruction.

Indexed as

Controlled cortical impact (CCI)Image segmentationMagnetic resonance imaging (MRI)Traumatic brain injury

Identifiers

PMID29745374
PMCPMC5937286
OpenAlexW2786900381

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.