Title
Validation of 3D assessment of MR imaging-guided percutaneous cryotherapy of a soft-tissue metastasis
Abstract
To assess the response to image-guided thermal therapies, 3D analysis of both the tumor and ablation effects are needed. Assessment can be provided by 3D computer models created by segmenting tissues from 2D cross-sectional images. We present a statistical evaluation of manual segmentation applied to a case of percutaneous cryotherapy. Pre- and post-procedural MR images of a treated soft-tissue metastasis were analyzed. Tumor and cryonecrosis regions were segmented 5 times each by 3 observers. These 45 3D models were then evaluated using an algorithm (STAPLE: Simultaneous Truth and Performance Level Estimation), yielding a measure of the sensitivity and specificity of the models. Data were analyzed to assess both the variability of an individual observer and the inter-observer variability. The intra-observer sensitivities for the 3 observers for the pre-procedural tumor were 0.91, 0.94, 0.90. Similar results were found for post-procedural tumor and cryonecrosis. The mean overall inter-observer sensitivity (bias removed) for the pre-procedural tumor was 0.95; it was 0.96 and 0.97 for the post-procedural tumor and the cryonecrosis, respectively. A single estimate of the “true segmentation” 3D model is likely closest to reality. This method is effective for the validation of multi-observer repeated 3D segmentations and may be especially significant in clinical practice.
Year
DOI
Venue
2004
10.1016/j.ics.2004.03.231
International Congress Series
Keywords
Field
DocType
Image-guided therapy,Cryotherapy,Tumor ablation,Musculoskeletal neoplasm,Therapy,Magnetic resonance imaging (MRI)
Mr imaging,Segmentation,Clinical Practice,Soft tissue metastasis,Ablation,Radiology,Image-Guided Therapy,Cryotherapy,Medicine,Percutaneous
Conference
Volume
ISSN
Citations 
1268
0531-5131
0
PageRank 
References 
Authors
0.34
2
8
Name
Order
Citations
PageRank
Christian P Zentai100.34
Daniel Worku200.34
Kemal Tuncali38213.51
Kelly H. Zou475054.43
Paul R. Morrison561.76
Simon K. Warfield62825229.11
R.M.M Seibel700.34
Stuart G. Silverman8599.62