Validation of a Web-Based Planning Tool for Percutaneous Cryoablation of Renal Tumors
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CLINICAL INVESTIGATION
NON-VASCULAR INTERVENTIONS
Validation of a Web-Based Planning Tool for Percutaneous Cryoablation of Renal Tumors Tim J. van Oostenbrugge1 • Jan Heidkamp2 • Michael Moche3 • Phil Weir4 • Panchatcharam Mariappan4,9 • Ronan Flanigan4 • Mika Pollari5 • Stephen Payne6 Marina Kolesnik7 • Sjoerd F. M. Jenniskens2 • Jurgen J. Fu¨tterer2,8
•
Received: 20 March 2020 / Accepted: 20 August 2020 / Published online: 15 September 2020 The Author(s) 2020
Abstract Purpose To validate a simulation environment for virtual planning of percutaneous cryoablation of renal tumors. Materials and Methods Prospectively collected data from 19 MR-guided procedures were used for validation of the simulation model. Volumetric overlap of the simulated ablation zone volume (R) and the segmented ablation zone volume (S; assessed on 1-month follow-up scan) was quantified. Validation metrics were DICE Similarity Coefficient (DSC; the ratio between twice the overlapping volume of both ablation zones divided by the sum of both
Preliminary results presented at European Congress of Radiology 2016 in Vienna. & Tim J. van Oostenbrugge [email protected] 1
Department of Urology, Radboud University Medical Center, P.O. box 9101, 6500 HB Nijmegen, The Netherlands
2
Department of Radiology and Nuclear Medicine, Radboud University Medical Center, Nijmegen, The Netherlands
3
Department of Diagnostic and Interventional Radiology, University Hospital, Leipzig, Germany
4
NUMA Engineering Services Ltd, Dublin, Ireland
5
Department of Neuroscience and Biomedical Engineering, Aalto University, Espoo, Finland
6
Department of Engineering Science, Institute of Biomedical Engineering, University of Oxford, Oxford, UK
7
Fraunhofer - FIT - Institute for Applied Information Technology, Sankt-Augustin, Germany
8
MIRA, Institute for Biomedical Technology and Technical Medicine, University of Twente, Enschede, The Netherlands
9
Department of Mathematics, Indian Institute of Technology, Tirupati, India
ablation zone volumes), target overlap (the ratio between the overlapping volume of both ablation zones to the volume of S; low ratio means S is underestimated), and positive predictive value (the ratio between the overlapping volume of both ablation zones to the volume of R; low ratio means S is overestimated). Values were between 0 (no alignment) and 1 (perfect alignment), a value [ 0.7 is considered good. Results Mean volumes of S and R were 14.8 cm3 (± 9.9) and 26.7 cm3 (± 15.0), respectively. Mean DSC value was 0.63 (± 0.2), and C 0.7 in 9 cases (47%). Mean target overlap and positive predictive value were 0.88 (± 0.11) and 0.53 (± 0.24), respectively. In 17 cases (89%), target overlap was C 0.7; positive predictive value was C 0.7 in 4 cases (21%) and \ 0.6 in 13 cases (68%). This indicates S is overestimated in the majority of cases. Conclusion The validation results showed a tendency of the simulation model to overestimate the ablation effect. Model adjustments are necessary to make it suitable for clinical use.
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