Literature DB >> 18483414

Development and validation of a simple conversion model for comparison of intracerebral hemorrhage volumes measured on CT and gradient recalled echo MRI.

Richard E Burgess1, Steven Warach, Timothy J Schaewe, Brittany R Copenhaver, Jeffry R Alger, Paul Vespa, Neil Martin, Jeffrey L Saver, Chelsea S Kidwell.   

Abstract

BACKGROUND AND
PURPOSE: Gradient recalled echo MRI (GRE) has been shown to be as accurate as CT for the detection of acute intracerebral hemorrhage (ICH). However, because of the differences in the signal parameter being detected, apparent hemorrhage size is expected to vary by imaging modality, with GRE providing larger volumes attributable to susceptibility effects.
METHODS: Image data from patients participating in 3 ICH studies were retrospectively reviewed. Patients with acute ICH were included if (1) concurrent MRI and CT were performed within 72 hours of symptom onset, and (2) each modality was performed within 240 minutes of each other. ICH volumes were calculated using a semiautomated image analysis program. The least squares method was used to develop a conversion equation based on a linear regression of GRE volume on CT volume.
RESULTS: Thirty-six patients met inclusion criteria. MRI was performed first in 18, CT first in 18. Mean hemorrhage volume was 25.2 cc (range 0.1 to 83.9 cc) on CT and 32.7 cc (range 0.1 to 98.7 cc) measured on GRE. A linear relationship defined by CT Volume=GRE Volume*0.8 (Spearman's correlation coefficient=0.992, P<0.001) was derived.
CONCLUSIONS: Acute ICH volumes as measured on GRE pulse sequences are consistently larger than CT volumes. A simple mathematical conversion model has been developed: CT volume=0.8*GRE volume. This formula can be used in studies using both imaging modalities, across different studies, or to track ICH growth over time independent of imaging modality in an individual patient.

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Year:  2008        PMID: 18483414      PMCID: PMC2756493          DOI: 10.1161/STROKEAHA.107.505719

Source DB:  PubMed          Journal:  Stroke        ISSN: 0039-2499            Impact factor:   7.914


  8 in total

1.  Hematoma growth is a determinant of mortality and poor outcome after intracerebral hemorrhage.

Authors:  S M Davis; J Broderick; M Hennerici; N C Brun; M N Diringer; S A Mayer; K Begtrup; T Steiner
Journal:  Neurology       Date:  2006-04-25       Impact factor: 9.910

2.  Magnetic resonance imaging and computed tomography in emergency assessment of patients with suspected acute stroke: a prospective comparison.

Authors:  Julio A Chalela; Chelsea S Kidwell; Lauren M Nentwich; Marie Luby; John A Butman; Andrew M Demchuk; Michael D Hill; Nicholas Patronas; Lawrence Latour; Steven Warach
Journal:  Lancet       Date:  2007-01-27       Impact factor: 79.321

3.  Recombinant activated factor VII for acute intracerebral hemorrhage.

Authors:  Stephan A Mayer; Nikolai C Brun; Kamilla Begtrup; Joseph Broderick; Stephen Davis; Michael N Diringer; Brett E Skolnick; Thorsten Steiner
Journal:  N Engl J Med       Date:  2005-02-24       Impact factor: 91.245

4.  A standardized MRI stroke protocol: comparison with CT in hyperacute intracerebral hemorrhage.

Authors:  P D Schellinger; O Jansen; J B Fiebach; W Hacke; K Sartor
Journal:  Stroke       Date:  1999-04       Impact factor: 7.914

5.  Comparison of MRI and CT for detection of acute intracerebral hemorrhage.

Authors:  Chelsea S Kidwell; Julio A Chalela; Jeffrey L Saver; Sidney Starkman; Michael D Hill; Andrew M Demchuk; John A Butman; Nicholas Patronas; Jeffry R Alger; Lawrence L Latour; Marie L Luby; Alison E Baird; Megan C Leary; Margaret Tremwel; Bruce Ovbiagele; Andre Fredieu; Shuichi Suzuki; J Pablo Villablanca; Stephen Davis; Billy Dunn; Jason W Todd; Mustapha A Ezzeddine; Joseph Haymore; John K Lynch; Lisa Davis; Steven Warach
Journal:  JAMA       Date:  2004-10-20       Impact factor: 56.272

6.  Volume of intracerebral hemorrhage. A powerful and easy-to-use predictor of 30-day mortality.

Authors:  J P Broderick; T G Brott; J E Duldner; T Tomsick; G Huster
Journal:  Stroke       Date:  1993-07       Impact factor: 7.914

7.  Neurologic deterioration in noncomatose patients with supratentorial intracerebral hemorrhage.

Authors:  S A Mayer; R L Sacco; T Shi; J P Mohr
Journal:  Neurology       Date:  1994-08       Impact factor: 9.910

8.  CT and diffusion-weighted MR imaging in randomized order: diffusion-weighted imaging results in higher accuracy and lower interrater variability in the diagnosis of hyperacute ischemic stroke.

Authors:  J B Fiebach; P D Schellinger; O Jansen; M Meyer; P Wilde; J Bender; P Schramm; E Jüttler; J Oehler; M Hartmann; S Hähnel; M Knauth; W Hacke; K Sartor
Journal:  Stroke       Date:  2002-09       Impact factor: 7.914

  8 in total
  17 in total

1.  Temporal changes in perihematomal apparent diffusion coefficient values during the transition from acute to subacute phases in patients with spontaneous intracerebral hemorrhage.

Authors:  Enrico Fainardi; Massimo Borrelli; Andrea Saletti; Silvio Sarubbo; Gloria Roversi; Andrea Bernardoni; Francesco Latini; Cristiano Azzini; Luca Borgatti; Alessandro De Vito; Michele Cavallo; Stefano Ceruti; Arturo Chieregato
Journal:  Neuroradiology       Date:  2012-09-18       Impact factor: 2.804

2.  Metallic Hyperdensity Sign on Noncontrast CT Immediately after Mechanical Thrombectomy Predicts Parenchymal Hemorrhage in Patients with Acute Large-Artery Occlusion.

Authors:  C Xu; Y Zhou; R Zhang; Z Chen; W Zhong; X Gong; X Ding; M Lou
Journal:  AJNR Am J Neuroradiol       Date:  2019-03-07       Impact factor: 3.825

3.  Serial quantitative neuroimaging of iron in the intracerebral hemorrhage pig model.

Authors:  Muhammad E Haque; Refaat E Gabr; Xiurong Zhao; Khader M Hasan; Andrew Valenzuela; Ponnada A Narayana; Shun-Ming Ting; Guanghua Sun; Sean I Savitz; Jaroslaw Aronowski
Journal:  J Cereb Blood Flow Metab       Date:  2018-01-02       Impact factor: 6.200

4.  Microbleeds versus macrobleeds: evidence for distinct entities.

Authors:  Steven M Greenberg; R N Kaveer Nandigam; Pilar Delgado; Rebecca A Betensky; Jonathan Rosand; Anand Viswanathan; Matthew P Frosch; Eric E Smith
Journal:  Stroke       Date:  2009-05-14       Impact factor: 7.914

5.  Poor long-term blood pressure control after intracerebral hemorrhage.

Authors:  Darin B Zahuranec; Jeffrey J Wing; Dorothy F Edwards; Ravi S Menon; Stephen J Fernandez; Richard E Burgess; Ian A Sobotka; Laura German; Anna J Trouth; Nawar M Shara; M Chris Gibbons; Bernadette Boden-Albala; Chelsea S Kidwell
Journal:  Stroke       Date:  2012-08-16       Impact factor: 7.914

6.  Frequency of hematoma expansion after spontaneous intracerebral hemorrhage in children.

Authors:  Lauren A Beslow; Rebecca N Ichord; Melissa C Gindville; Jonathan T Kleinman; Rachel A Bastian; Sabrina E Smith; Daniel J Licht; Argye E Hillis; Lori C Jordan
Journal:  JAMA Neurol       Date:  2014-02       Impact factor: 18.302

7.  Hematoma volume measurement in gradient echo MRI using quantitative susceptibility mapping.

Authors:  Shuo Wang; Min Lou; Tian Liu; Deqi Cui; Xiaomei Chen; Yi Wang
Journal:  Stroke       Date:  2013-05-23       Impact factor: 7.914

8.  Magnetic resonance imaging versus computed tomography for identification and quantification of intraventricular hemorrhage.

Authors:  Anna L Romanova; Alexander J Nemeth; Michael D Berman; James C Guth; Eric M Liotta; Andrew M Naidech; Matthew B Maas
Journal:  J Stroke Cerebrovasc Dis       Date:  2014-07-30       Impact factor: 2.136

9.  Simvastatin and atorvastatin improve neurological outcome after experimental intracerebral hemorrhage.

Authors:  Kishor Karki; Robert A Knight; Yuxia Han; Dongmei Yang; Jianfeng Zhang; Karyn A Ledbetter; Michael Chopp; Donald M Seyfried
Journal:  Stroke       Date:  2009-07-30       Impact factor: 7.914

10.  Quantitative susceptibility mapping (QSM) as a means to monitor cerebral hematoma treatment.

Authors:  Yuyao Zhang; Hongjiang Wei; Yawen Sun; Matthew J Cronin; Naying He; Jianrong Xu; Yan Zhou; Chunlei Liu
Journal:  J Magn Reson Imaging       Date:  2018-01-30       Impact factor: 4.813

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