Evidence map›Paper›PMID 23455483›Full record

ArticleScientific reports2013

GBM volumetry using the 3D Slicer medical image computing platform.

Jan Egger, Tina Kapur, Andriy Fedorov, Steve Pieper, James V Miller, Harini Veeraraghavan, Bernd Freisleben, Alexandra J Golby, Christopher Nimsky, Ron Kikinis

Abstract read
In one paragraph

Article in Scientific reports, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 116 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
116citing papers in PubMed, 2 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

116 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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  7. Article
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  11. AI-assisted Segmentation Tool for Brain Tumor MR Image Analysis.Journal of imaging informatics in medicine · 2025
    Article
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  14. Correlations ofMolecular and clinical oncology · 2025
    Article
  15. Review
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56 more citing papers are in PubMed but not listed here.

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.

Jan EggerDepartment of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA. egger@bwh.harvard.edu
Tina Kapur
Andriy Fedorov
Steve Pieper
James V Miller
Harini Veeraraghavan
Bernd Freisleben
Alexandra J Golby
Christopher Nimsky
Ron Kikinis

Funding

Washington University ConsoritumU54EB005149 · NIBIB · BRIGHAM AND WOMEN'S HOSPITAL · PI KIKINIS, RON · 2004 to 2013
$39.3M
WHITE MATTER ARCHITECTURE FROM DT-MRIP41RR013218 · NCRR · BRIGHAM AND WOMEN'S HOSPITAL · PI KIKINIS, RON · 1998 to 2011
$30.6M
Image Guided Therapy Center - Ultrasound-based sensor system for the monitoring of COVID-19 patientsP41EB015898 · NIBIB · BRIGHAM AND WOMEN'S HOSPITAL · PI TEMPANY, CLARE M · 2012 to 2021
$18.9M
IMAGE GUIDED THERAPY CENTERP41RR019703 · NCRR · BRIGHAM AND WOMEN'S HOSPITAL · PI JOLESZ, FERENC A · 2010 to 2011
$8.6M
Joint Segmentation of MR and CT scans for Gynecologic Cancer BrachytherapyR03EB013792 · NIBIB · BRIGHAM AND WOMEN'S HOSPITAL · PI KAPUR, TINA · 2011 to 2012
$178k
NCRR NIH HHS P41 RR013218NCRR NIH HHS P41 RR019703NCRR NIH HHS P41RR019703NIBIB NIH HHS P41 EB015898NIBIB NIH HHS P41EB015898NIBIB NIH HHS R03 EB013792NIBIB NIH HHS R03EB013792NIBIB NIH HHS U54 EB005149NIBIB NIH HHS U54EB005149
6 · The paper itself

Abstract

Volumetric change in glioblastoma multiforme (GBM) over time is a critical factor in treatment decisions. Typically, the tumor volume is computed on a slice-by-slice basis using MRI scans obtained at regular intervals. (3D)Slicer - a free platform for biomedical research - provides an alternative to this manual slice-by-slice segmentation process, which is significantly faster and requires less user interaction. In this study, 4 physicians segmented GBMs in 10 patients, once using the competitive region-growing based GrowCut segmentation module of Slicer, and once purely by drawing boundaries completely manually on a slice-by-slice basis. Furthermore, we provide a variability analysis for three physicians for 12 GBMs. The time required for GrowCut segmentation was on an average 61% of the time required for a pure manual segmentation. A comparison of Slicer-based segmentation with manual slice-by-slice segmentation resulted in a Dice Similarity Coefficient of 88.43 ± 5.23% and a Hausdorff Distance of 2.32 ± 5.23 mm.

Indexed as

Imaging, Three-DimensionalMagnetic Resonance ImagingTumor BurdenGlioblastomaHumansImage Processing, Computer-Assisted

Identifiers

PMID23455483
PMCPMC3586703

What OpenQuestion holds

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LicenceCC BY-NC-SA
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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.