Workflow optimisation for multimodal imaging procedures: a case of combined X-Ray and MRI guided TACE

Fabiola Fernandez-Gutierrez (Lead / Corresponding author), Malgorzata Wolska-Krawczyk, Arno Buecker, J. Graeme Houston, Andreas Melzer

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    5 Citations (Scopus)
    344 Downloads (Pure)


    This study presents a framework for workflow optimisation of multimodal image-guided procedures (MIGP) based on discrete event simulation (DES). A case of a combined X-Ray and magnetic resonance image-guided transarterial chemoembolisation (TACE) is presented to illustrate the application of this method. We used a ranking and selection optimisation algorithm to measure the performance of a number of proposed alternatives to improve a current scenario.
    A DES model was implemented with detail data collected from 59 TACE procedures and durations of Magnetic Resonance Imaging (MRI) diagnostic procedures usually performed in a common MRI suite. Fourteen alternatives were proposed and assessed to minimise waiting times and improve workflow.
    Data analysis observed an average of 20.68 (7.68) minutes of waiting between angiography and MRI for TACE patients in 71.19% of the cases. Following the optimisation analysis, an alternative was identified to reduce waiting times in angiography suite up to 48.74%.
    The model helped to understand and detect “bottlenecks” during multimodal TACE procedures, identifying a better alternative to the current workflow and reducing waiting times. Simulation-based workflow analysis provides a cost-effective way to face some of the challenges of introducing MIGP in clinical radiology, highligthed in this study.
    Original languageEnglish
    Pages (from-to)31-38
    Number of pages8
    JournalMinimally Invasive Therapy and Allied Technologies
    Issue number1
    Early online date26 Aug 2016
    Publication statusPublished - 26 Aug 2016


    • Workflow
    • discrete
    • event simulation
    • optimisation
    • MRI
    • TACE


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