Evidence map›Paper›PMID 34514469›Full record

ArticleBrainlesion : glioma, multiple sclerosis, stroke and traumatic brain injuries. BrainLes (Workshop)2021

Estimating Glioblastoma Biophysical Growth Parameters Using Deep Learning Regression.

Sarthak Pati, Vaibhav Sharma, Heena Aslam, Siddhesh P Thakur, Hamed Akbari, Andreas Mang, Shashank Subramanian, George Biros, Christos Davatzikos, Spyridon Bakas

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Brainlesion : glioma, multiple sclerosis, stroke and traumatic brain injuries. BrainLes (Workshop), 2021. 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
–field-weighted citation impact
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. 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

10 authors.

Sarthak PatiCenter for Biomedical Image Computing and Analytics, University of Pennsylvania, Philadelphia, PA, USA.
Vaibhav SharmaDepartment of Electrical and Electronics Engineering, Aligarh Muslim University, Aligarh, Uttar Pradesh, India.
Heena AslamDepartment of Electrical and Electronics Engineering, Aligarh Muslim University, Aligarh, Uttar Pradesh, India.
Siddhesh P ThakurCenter for Biomedical Image Computing and Analytics, University of Pennsylvania, Philadelphia, PA, USA.
Hamed AkbariCenter for Biomedical Image Computing and Analytics, University of Pennsylvania, Philadelphia, PA, USA.
Andreas MangDepartment of Mathematics, University of Houston, Houston, TX, USA.
Shashank SubramanianOden Institute of Computational Engineering and Sciences, The University of Texas at Austin, Austin, TX, USA.
George BirosOden Institute of Computational Engineering and Sciences, The University of Texas at Austin, Austin, TX, USA.
Christos Davatzikos *Center for Biomedical Image Computing and Analytics, University of Pennsylvania, Philadelphia, PA, USA.
Spyridon Bakas *Center for Biomedical Image Computing and Analytics, University of Pennsylvania, Philadelphia, PA, USA.

Funding

Statistical atlases of brain tumor MRI:do imaging phenotypes predict progression?R01NS042645 · NINDS · UNIVERSITY OF PENNSYLVANIA · PI DAVATZIKOS, CHRISTOS · 2002 to 2024
$8.7M
Cancer imaging phenomics software suite: application to brain and breast cancerU24CA189523 · NCI · UNIVERSITY OF PENNSYLVANIA · PI DAVATZIKOS, CHRISTOS, KONTOS, DESPINA · 2015 to 2019
$3.2M
The Federated Tumor Segmentation (FeTS) platform: An intuitive tool facilitating secure multi-institutional collaborationU01CA242871 · NCI · UNIVERSITY OF PENNSYLVANIA · PI BAKAS, SPYRIDON · 2019 to 2021
$1.1M
NCI NIH HHS U01 CA242871NCI NIH HHS U24 CA189523NINDS NIH HHS R01 NS042645
6 · The paper itself

Abstract

Glioblastoma (

Indexed as

Biophysical growth modelBrain tumorDeep learningGlioblastomaRegression

Identifiers

PMID34514469
PMCPMC8428542

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.