Evidence map›Paper›PMID 31259320›Full record

ArticleBrainlesion : glioma, multiple sclerosis, stroke and traumatic brain injuries. BrainLes (Workshop)2019

Patient-Specific Registration of Pre-operative and Post-recurrence Brain Tumor MRI Scans.

Xu Han, Spyridon Bakas, Roland Kwitt, Stephen Aylward, Hamed Akbari, Michel Bilello, Christos Davatzikos, Marc Niethammer

Abstract read
In one paragraph

Article in Brainlesion : glioma, multiple sclerosis, stroke and traumatic brain injuries. BrainLes (Workshop), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. A Deep Network for Joint Registration and Reconstruction of Images with Pathologies.Machine learning in medical imaging. MLMI (Workshop) · 2020
    Article
  7. 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

8 authors.

Xu HanDepartment of Computer Science, UNC Chapel Hill, Chapel Hill, NC, USA.
Spyridon BakasCenter for Biomedical Image Computing and Analytics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
Roland KwittUniversity of Salzburg, Salzburg, Austria.
Stephen AylwardKitware Inc., New York, USA.
Hamed AkbariCenter for Biomedical Image Computing and Analytics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
Michel BilelloCenter for Biomedical Image Computing and Analytics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
Christos DavatzikosCenter for Biomedical Image Computing and Analytics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
Marc NiethammerDepartment of Computer Science, UNC Chapel Hill, Chapel Hill, NC, USA.

Funding

Smartphone-Based "Burst" Cognitive AssessmentsP01AG003991 · NIA · WASHINGTON UNIVERSITY · PI Tammie Lee Smith Benzinger · 1985 to 2026
$69.5M
The natural history of AB accumulation in preclinical ADP01AG026276 · NIA · WASHINGTON UNIVERSITY · PI SCHINDLER, SUZANNE ELIZABETH · 2005 to 2025
$49.5M
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
Multimodality Image-Based Assessment System for Traumatic Brain InjuryR44NS081792 · NINDS · KITWARE, INC. · PI AYLWARD, STEPHEN R, NIETHAMMER, MARC · 2015 to 2016
$1.3M
NCI NIH HHS U24 CA189523NIA NIH HHS P01 AG003991NIA NIH HHS P01 AG026276NINDS NIH HHS R01 NS042645NINDS NIH HHS R44 NS081792
6 · The paper itself

Abstract

Registering brain magnetic resonance imaging (MRI) scans containing pathologies is challenging primarily due to large deformations caused by the pathologies, leading to missing correspondences between scans. However, the registration task is important and directly related to personalized medicine, as registering between

Identifiers

PMID31259320
PMCPMC6599177

What OpenQuestion holds

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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.