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

Institution:
1Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA. stani@partners.org.
2Department of Surgery, Biomedical Innovation Center, Shiga University of Medical Science, Shiga, Japan.
3Texas Medical Center, Houston, TX, USA.
Publisher:
Springer
Publication Date:
Jun-2016
Journal:
Int J Comput Assist Radiol Surg
Volume Number:
11
Issue Number:
6
Pages:
1133-42
Citation:
Int J Comput Assist Radiol Surg. 2016 Jun;11(6):1133-42.
PubMed ID:
27038962
PMCID:
PMC4893989
Keywords:
Ablation margin, Image registration, Image-guided intervention, Liver ablation, MRI
Appears in Collections:
NCIGT, SLICER, SNR, SPL
Sponsors:
P41 EB015898/EB/NIBIB NIH HHS/United States
R01 CA138586/CA/NCI NIH HHS/United States
Generated Citation:
Tani S., Tatli S., Hata N., Garcia-Rojas X., Olubiyi O.I., Silverman S.G., Tokuda J. Three-dimensional Quantitative Assessment of Ablation Margins Based on Registration of Pre- and Post-procedural MRI and Distance Map. Int J Comput Assist Radiol Surg. 2016 Jun;11(6):1133-42. PMID: 27038962. PMCID: PMC4893989.
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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-dimensional minimum distance between the recurrence and the areas with insufficient margins was quantified. RESULTS: The percent tumor coverage for all nonrecurrent cases was 100 %. Five cases had tumor recurrences, and the 3D distance map revealed insufficient tumor coverage or a 0-mm margin. It also showed that two recurrences were remote to the insufficient margin. CONCLUSIONS: Non-rigid registration and 3D distance map allow 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.

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