Literature DB >> 32144848

Quantifying the Financial Savings of Motion Correction in Brain MRI: A Model-Based Estimate of the Costs Arising From Patient Head Motion and Potential Savings From Implementation of Motion Correction.

Jakob M Slipsager1,2,3, Stefan L Glimberg3, Jes Søgaard4, Rasmus R Paulsen1, Helle H Johannesen2, Pernille C Martens5, Alka Seth5, Lisbeth Marner2,6, Otto M Henriksen2, Oline V Olesen1,2,3, Liselotte Højgaard2.   

Abstract

BACKGROUND: Patient head motion is a major concern in clinical brain MRI, as it reduces the diagnostic image quality and may increase examination time and cost.
PURPOSE: To investigate the prevalence of MR images with significant motion artifacts on a given clinical scanner and to estimate the potential financial cost savings of applying motion correction to clinical brain MRI examinations. STUDY TYPE: Retrospective.
SUBJECTS: In all, 173 patients undergoing a PET/MRI dementia protocol and 55 pediatric patients undergoing a PET/MRI brain tumor protocol. The total scan time of the two protocols were 17 and 40 minutes, respectively. FIELD STRENGTH/SEQUENCES: 3 T, Siemens mMR Biograph, MPRAGE, DWI, T1 and T2 -weighted FLAIR, T2 -weighted 2D-FLASH, T2 -weighted TSE. ASSESSMENT: A retrospective review of image sequences from a given clinical MRI scanner was conducted to investigate the prevalence of motion-corrupted images. The review was performed by three radiologists with different levels of experience using a three-step semiquantitative scale to classify the quality of the images. A total of 1013 sequences distributed on 228 MRI examinations were reviewed. The potential cost savings of motion correction were estimated by a cost estimation for our country with assumptions. STATISTICAL TEST: The cost estimation was conducted with a 20% lower and upper bound on the model assumptions to include the uncertainty of the assumptions.
RESULTS: 7.9% of the sequences had motion artifacts that decreased the interpretability, while 2.0% of the sequences had motion artifacts causing the images to be nondiagnostic. The estimated annual cost to the clinic/hospital due to patient head motion per scanner was $45,066 without pediatric examinations and $364,242 with pediatric examinations. DATA
CONCLUSION: The prevalence of a motion-corrupted image was found in 2.0% of the reviewed sequences. Based on the model, repayment periods are presented as a function of the price for applying motion correction and its performance. EVIDENCE LEVEL: 4 TECHNICAL EFFICACY: Stage 6 J. Magn. Reson. Imaging 2020;52:731-738.
© 2020 International Society for Magnetic Resonance in Medicine.

Entities:  

Keywords:  MRI; cost saving; motion artifacts; motion correction; neuroimaging

Mesh:

Year:  2020        PMID: 32144848     DOI: 10.1002/jmri.27112

Source DB:  PubMed          Journal:  J Magn Reson Imaging        ISSN: 1053-1807            Impact factor:   4.813


  6 in total

1.  Comparison of prospective and retrospective motion correction in 3D-encoded neuroanatomical MRI.

Authors:  Jakob M Slipsager; Stefan L Glimberg; Liselotte Højgaard; Rasmus R Paulsen; Paul Wighton; M Dylan Tisdall; Camilo Jaimes; Borjan A Gagoski; P Ellen Grant; André van der Kouwe; Oline V Olesen; Robert Frost
Journal:  Magn Reson Med       Date:  2021-09-07       Impact factor: 4.668

2.  Evaluation of the Aggregated Time Savings in Adopting Fast Brain MRI Techniques for Outpatient Brain MRI.

Authors:  Min Lang; Samuel Cartmell; Azadeh Tabari; Daniel Briggs; Oleg Pianykh; John Kirsch; Stephen Cauley; Wei-Ching Lo; Seretha Risacher; Augusto Goncalves Filho; Marc D Succi; Otto Rapalino; Pamela Schaefer; John Conklin; Susie Y Huang
Journal:  Acad Radiol       Date:  2021-10-08       Impact factor: 3.173

3.  Free induction decay navigator motion metrics for prediction of diagnostic image quality in pediatric MRI.

Authors:  Tess E Wallace; Onur Afacan; Camilo Jaimes; Joanne Rispoli; Kristina Pelkola; Monet Dugan; Tobias Kober; Simon K Warfield
Journal:  Magn Reson Med       Date:  2021-01-06       Impact factor: 4.668

4.  Motion corrected silent ZTE neuroimaging.

Authors:  Emil Ljungberg; Tobias C Wood; Ana Beatriz Solana; Steven C R Williams; Gareth J Barker; Florian Wiesinger
Journal:  Magn Reson Med       Date:  2022-04-05       Impact factor: 3.737

5.  Accuracy investigations for volumetric head-motion navigators with and without EPI at 7 T.

Authors:  Mads Andersen; Malte Laustsen; Vincent Boer
Journal:  Magn Reson Med       Date:  2022-05-16       Impact factor: 3.737

6.  Prospective motion correction for diffusion weighted EPI of the brain using an optical markerless tracker.

Authors:  Johan Berglund; Adam van Niekerk; Henric Rydén; Tim Sprenger; Enrico Avventi; Ola Norbeck; Stefan L Glimberg; Oline V Olesen; Stefan Skare
Journal:  Magn Reson Med       Date:  2020-09-29       Impact factor: 4.668

  6 in total

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