Literature DB >> 23473722

Workflow efficiency of two 1.5 T MR scanners with and without an automated user interface for head examinations.

Christoph Moenninghoff1, Lale Umutlu, Christian Kloeters, Adrian Ringelstein, Mark E Ladd, Antje Sombetzki, Thomas C Lauenstein, Michael Forsting, Marc Schlamann.   

Abstract

RATIONALE AND
OBJECTIVES: Workflow efficiency and workload of radiological technologists (RTs) were compared in head examinations performed with two 1.5 T magnetic resonance (MR) scanners equipped with or without an automated user interface called "day optimizing throughput" (Dot) workflow engine.
MATERIALS AND METHODS: Thirty-four patients with known intracranial pathology were examined with a 1.5 T MR scanner with Dot workflow engine (Siemens MAGNETOM Aera) and with a 1.5 T MR scanner with conventional user interface (Siemens MAGNETOM Avanto) using four standardized examination protocols. The elapsed time for all necessary work steps, which were performed by 11 RTs within the total examination time, was compared for each examination at both MR scanners. The RTs evaluated the user-friendliness of both scanners by a questionnaire. Normality of distribution was checked for all continuous variables by use of the Shapiro-Wilk test. Normally distributed variables were analyzed by Student's paired t-test, otherwise Wilcoxon signed-rank test was used to compare means.
RESULTS: Total examination time of MR examinations performed with Dot engine was reduced from 24:53 to 20:01 minutes (P < .001) and the necessary RT intervention decreased by 61% (P < .001). The Dot engine's automated choice of MR protocols was significantly better assessed by the RTs than the conventional user interface (P = .001).
CONCLUSIONS: According to this preliminary study, the Dot workflow engine is a time-saving user assistance software, which decreases the RTs' effort significantly and may help to automate neuroradiological examinations for a higher workflow efficiency.
Copyright © 2013 AUR. Published by Elsevier Inc. All rights reserved.

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Mesh:

Year:  2013        PMID: 23473722     DOI: 10.1016/j.acra.2013.01.004

Source DB:  PubMed          Journal:  Acad Radiol        ISSN: 1076-6332            Impact factor:   3.173


  5 in total

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Authors:  Gregory D Avey; Daryn S Belden; Ryan D Zea; John-Paul J Yu
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2.  Comprehensive Multi-Dimensional MRI for the Simultaneous Assessment of Cardiopulmonary Anatomy and Physiology.

Authors:  Joseph Y Cheng; Tao Zhang; Marcus T Alley; Martin Uecker; Michael Lustig; John M Pauly; Shreyas S Vasanawala
Journal:  Sci Rep       Date:  2017-07-13       Impact factor: 4.379

3.  Closed-loop control of k-space sampling via physiologic feedback for cine MRI.

Authors:  Francisco Contijoch; Yuchi Han; Srikant Kamesh Iyer; Peter Kellman; Gene Gualtieri; Mark A Elliott; Sebastian Berisha; Joseph H Gorman; Robert C Gorman; James J Pilla; Walter R T Witschey
Journal:  PLoS One       Date:  2020-12-29       Impact factor: 3.752

4.  RLMD-PA: A Reinforcement Learning-Based Myocarditis Diagnosis Combined with a Population-Based Algorithm for Pretraining Weights.

Authors:  Seyed Vahid Moravvej; Roohallah Alizadehsani; Sadia Khanam; Zahra Sobhaninia; Afshin Shoeibi; Fahime Khozeimeh; Zahra Alizadeh Sani; Ru-San Tan; Abbas Khosravi; Saeid Nahavandi; Nahrizul Adib Kadri; Muhammad Mokhzaini Azizan; N Arunkumar; U Rajendra Acharya
Journal:  Contrast Media Mol Imaging       Date:  2022-06-30       Impact factor: 3.009

5.  Clinical Evaluation of an Abbreviated Contrast-Enhanced Whole-Body MRI for Oncologic Follow-Up Imaging.

Authors:  Judith Herrmann; Saif Afat; Andreas Brendlin; Maryanna Chaika; Andreas Lingg; Ahmed E Othman
Journal:  Diagnostics (Basel)       Date:  2021-12-16
  5 in total

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