Three-Dimensional Quantitative Assessment of Ablation Margins Based on Registration of Pre- and Post-Procedural MRI and Distance Map

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Three-Dimensional Quantitative Assessment of Ablation Margins Based on Registration of Pre- and Post-Procedural MRI and Distance Map

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Title: Three-Dimensional Quantitative Assessment of Ablation Margins Based on Registration of Pre- and Post-Procedural MRI and Distance Map
Author: Tani, Soichiro; Tatli, Servet; Hata, Nobuhiko; Garcia-Rojas, Xavier; Olubiyi, Olutayo I.; Silverman, Stuart George; Tokuda, Junichi

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Citation: Tani, Soichiro, Servet Tatli, Nobuhiko Hata, Xavier Garcia-Rojas, Olutayo I. Olubiyi, Stuart G. Silverman, and Junichi Tokuda. 2016. “Three-Dimensional Quantitative Assessment of Ablation Margins Based on Registration of Pre- and Post-Procedural MRI and Distance Map.” International Journal of Computer Assisted Radiology and Surgery 11 (6) (April 2): 1133–1142. doi:10.1007/s11548-016-1398-z.
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Abstract: Purpose: Contrast-enhanced MR images are widely used to confirm the adequacy of ablation margin after liver ablation for early prediction of local recurrence. However, quantitative assessment of the ablation margin by comparing pre- and post-procedural images remains challenging. We developed and tested a novel method for three-dimensional quantitative assessment of ablation margin based on non-rigid image registration and 3D distance map. Methods: Our method was tested with pre- and post-procedural MR images acquired in 21 patients who underwent image-guided percutaneous liver ablation. The two images were co-registered using non-rigid intensity-based registration. After the tumor and ablation volumes were segmented, target volume coverage, percent of tumor coverage, and Dice Similarity Coefficient were calculated as metrics representing overall adequacy of ablation. In addition, 3D distance map around the tumor was computed and superimposed on the ablation volume to identify the area with insufficient margins. For patients with local recurrences, the follow-up images were registered to the post-procedural image. Three-D minimum distance between the recurrence and the areas with insufficient margins were quantified. Results: The percent tumor coverage for all non-recurrent cases was 100%. Five cases had tumor recurrences, and the 3D distance map revealed insufficient tumor coverage or a 0-millimeter margin. It also showed that two recurrences were remote to the insufficient margin. Conclusions: Non-rigid registration and 3D distance map allows us to quantitatively evaluate the adequacy of the ablation margin after percutaneous liver ablation. The method may be useful to predict local recurrences immediately following ablation procedure.
Published Version: 10.1007/s11548-016-1398-z
Other Sources: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4893989/
Terms of Use: This article is made available under the terms and conditions applicable to Open Access Policy Articles, as set forth at http://nrs.harvard.edu/urn-3:HUL.InstRepos:dash.current.terms-of-use#OAP
Citable link to this page: http://nrs.harvard.edu/urn-3:HUL.InstRepos:33953712
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