Evidence map›Paper›PMID 29459902›Full record

ArticlePatch-based techniques in medical imaging : third International Workshop, Patch-MI 2017, held in conjunction with MICCAI 2017, Quebec City, QC, Canada, September 14, 2017, Proceedings. Patch-MI (Workshop) (3rd : 2017 : Quebec, Quebec)2017

Whole Brain Parcellation with Pathology: Validation on Ventriculomegaly Patients.

Aaron Carass, Muhan Shao, Xiang Li, Blake E Dewey, Ari M Blitz, Snehashis Roy, Dzung L Pham, Jerry L Prince, Lotta M Ellingsen

Abstract read
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In one paragraph

Article in Patch-based techniques in medical imaging : third International Workshop, Patch-MI 2017, held in conjunction with MICCAI 2017, Quebec City, QC, Canada, September 14, 2017, Proceedings. Patch-MI (Workshop) (3rd : 2017 : Quebec, Quebec), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
–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

12 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Article
  4. AUTOMATED VENTRICLE PARCELLATION AND EVAN'S RATIO COMPUTATION IN PRE- AND POST-SURGICAL VENTRICULOMEGALY.Proceedings. IEEE International Symposium on Biomedical Imaging · 2023
    Article
  5. Investigation of probability maps in deep-learning-based brain ventricle parcellation.Proceedings of SPIE--the International Society for Optical Engineering · 2023
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Shortcomings of Ventricle Segmentation Using Deep Convolutional Networks.Understanding and interpreting machine learning in medical image computing applications : first international workshops, MLCN 2018, DLF 2018, and iMIMIC 2018, held in conjunction with MICCAI 2018, Granada, Spain, September 16-20, 2018 :... · 2018
    Article
  11. Multi-atlas segmentation of the hydrocephalus brain using an adaptive ventricle atlas.Proceedings of SPIE--the International Society for Optical Engineering · 2018
    Article
  12. Deformable model reconstruction of the subarachnoid space.Proceedings of SPIE--the International Society for Optical Engineering · 2018
    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

9 authors.

Aaron CarassDepartment of Electrical and Computer Engineering, The Johns Hopkins University, Baltimore, MD 21218, USA.
Muhan ShaoDepartment of Electrical and Computer Engineering, The Johns Hopkins University, Baltimore, MD 21218, USA.
Xiang LiDepartment of Electrical and Computer Engineering, The Johns Hopkins University, Baltimore, MD 21218, USA.
Blake E DeweyDepartment of Electrical and Computer Engineering, The Johns Hopkins University, Baltimore, MD 21218, USA.
Ari M BlitzDepartment of Radiology and Radiological Science, The Johns Hopkins University, Baltimore, MD 21287, USA.
Snehashis RoyCNRM, The Henry M. Jackson Foundation for the Advancement of Military Medicine, Bethesda, MD 20892, USA.
Dzung L PhamCNRM, The Henry M. Jackson Foundation for the Advancement of Military Medicine, Bethesda, MD 20892, USA.
Jerry L PrinceDepartment of Electrical and Computer Engineering, The Johns Hopkins University, Baltimore, MD 21218, USA.
Lotta M EllingsenDepartment of Electrical and Computer Engineering, The Johns Hopkins University, Baltimore, MD 21218, USA.

Funding

Ventricle segmentation and labeling to characterize normal pressure hydrocephalusR21NS096497 · NINDS · JOHNS HOPKINS UNIVERSITY · PI PRINCE, JERRY L · 2016 to 2017
$426k
NINDS NIH HHS R21 NS096497
6 · The paper itself

Abstract

Numerous brain disorders are associated with ventriculomegaly; normal pressure hydrocephalus (NPH) is one example. NPH presents with dementia-like symptoms and is often misdiagnosed as Alzheimer's due to its chronic nature and nonspecific presenting symptoms. However, unlike other forms of dementia NPH can be treated surgically with an over 80% success rate on appropriately selected patients. Accurate assessment of the ventricles, in particular its sub-compartments, is required to diagnose the condition. Existing segmentation algorithms fail to accurately identify the ventricles in patients with such extreme pathology. We present an improvement to a whole brain segmentation approach that accurately identifies the ventricles and parcellates them into four sub-compartments. Our work is a combination of patch-based tissue segmentation and multi-atlas registration-based labeling. We include a validation on NPH patients, demonstrating superior performance against state-of-the-art methods.

Indexed as

BrainEnlarged ventriclesHydrocephalusMRI

Identifiers

PMID29459902
PMCPMC5815833

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.