Abstract
Needle guidance in percutaneous ablation procedures is challenging due to the absence of a free line-of-sight. To date, the needle trajectory is manually planned on a pre-operative CT slice, and then the entry point and depth are transferred to patient and needle with a ruler. Usually, the needle is inserted in multiple strokes with interleaved control CTs, increasing the number of exchanges between OR and control room and exposure of the patient to radiation. This procedure is not only tedious, but also introduces a navigation error of several centimeters if the entry point was not chosen precisely. In this paper, we present Cryotrack, a pre- and intra-operative planning assistant for needle guidance in cryoablation. Cryotrack computes possible insertion areas, considering obstacles (bones) and risk structures. During the intervention, cryotrack supplies intra-operative guidance with a user-friendly 3D interface. Our system is evaluated in a phantom study with an experienced surgeon and two novice operators, showing that Cryotrack reduces the time of the intervention to a fourth while being on par with traditional planning in terms of safety and accuracy, and being usable by novices.
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Notes
- 1.
GitHub organization: https://github.com/Cryotrack.
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Acknowledgments
This work of the Interdisciplinary Thematic Institute HealthTech, as part of the ITI 2021–2028 program of the University of Strasbourg, CNRS and Inserm, was supported by IdEx Unistra (ANR-10-IDEX-0002) and SFRI (STRAT’US project, ANR-20-SFRI-0012) under the framework of the French Investments for the Future Program. It was also supported by French state funds managed by the ANR within the “Programme d’investissements d’avenir” France 2030 (reference ANR-10-IAHU-02). The authors would like to express their gratitude to the Preclinical Research Unit of the IHU Strasbourg for their support and assistance throughout this study.
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Krumb, H.J., Mehtali, J., Verde, J., Mukhopadhyay, A., Essert, C. (2024). Cryotrack: Planning and Navigation for Computer Assisted Cryoablation. In: Linguraru, M.G., et al. Medical Image Computing and Computer Assisted Intervention – MICCAI 2024. MICCAI 2024. Lecture Notes in Computer Science, vol 15006. Springer, Cham. https://doi.org/10.1007/978-3-031-72089-5_10
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