Validation of a Web-Based Planning Tool for Percutaneous Cryoablation of Renal Tumors
Journal
CardioVascular and Interventional Radiology
Journal Volume
43
Journal Issue
11
Pages
1661-1670
Date Issued
2020
Author(s)
van Oostenbrugge T.J.
Heidkamp J.
Moche M.
Weir P.
Mariappan P.
Flanigan R.
Pollari M.
Payne S.
Kolesnik M.
Jenniskens S.F.M.
F?tterer J.J.
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 (Σ) 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 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 Σ; 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 Σ were 14.8?cm3 (± 9.9) and 26.7?cm3 (± 15.0), respectively. Mean DSC value was 0.63 (± 0.2), and ? 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 ? 0.7; positive predictive value was ? 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. ? 2020, The Author(s).
Subjects
adult
aged
Article
clinical article
cryoablation
cryosurgery
female
follow up
human
image processing
Internet
intraoperative period
kidney tumor
male
nuclear magnetic resonance imaging
predictive value
preoperative care
priority journal
prospective study
simulation
validation study
virtual reality
volumetry
cancer staging
interventional magnetic resonance imaging
middle aged
procedures
very elderly
x-ray computed tomography
Aged
Aged, 80 and over
Cryosurgery
Female
Humans
Kidney Neoplasms
Magnetic Resonance Imaging, Interventional
Male
Middle Aged
Neoplasm Staging
Tomography, X-Ray Computed
SDGs
Type
journal article