Abstract
During percutaneous ablations, interventionalists currently rely on subjective assessments of procedural images to determine if the ablation is successful and the extent of injury to the surrounding tissues. In order to provide an objective assessment of these images, we developed a unified software package for monitoring MRI-guided cryoablation in real-time. We assessed its feasibility and functionality within the workflow of renal tumor cryoablation procedures using images from 13 MRI-guided renal tumor cryoablation procedures. This retrospective study demonstrated that the software package met the real-time requirements with 92 % success. We were therefore able to develop a comprehensive, real-time, interventionalist-friendly software package for quantitative monitoring of MRI-guided percutaneous cryoablation procedures, which aides in the assessment of tumor eradication and is compatible with the clinical workflow of these procedure. This tool has the potential to minimize damage to surrounding parenchyma and nearby critical structures, thereby enhancing patient safety and treatment success.
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References
Bharatha, A., et al.: Evaluation of three-dimensional finite element-based deformable registration of pre-and intraoperative prostate imaging. Med. Phys. 28(12), 2551–2560 (2001)
Chow, W.H., Devesa, S.S., Warren, J.L., Fraumeni, J.F.: Rising incidence of renal cell cancer in the United States. JAMA 281(17), 1628–1631 (1999)
Dice, L.R.: Measures of the amount of ecologic association between species. Ecology 26(3), 297–302 (1945)
Fennessy, F.M., Tuncali, K., Morrison, P.R., Tempany, C.M.: Mr imaging-guided interventions in the genitourinary tract: an evolving concept. Radiol. Clin. North Am. 46(1), 149–166 (2008)
Gupta, A., Allaf, M.E., Kavoussi, L.R., Jarrett, T.W., Chan, D.Y., Su, L.M., Solomon, S.B.: Computerized tomography guided percutaneous renal cryoablation with the patient under conscious sedation: initial clinical experience. J. Urol. 175(2), 447–453 (2006)
Liu, X., Tuncali, K., Wells, W.M., Morrison, P.R., Zientara, G.P.: Fully automatic 3d segmentation of iceball for image-guided cryoablation. In: 2012 IEEE Annual International Conference on Engineering in Medicine and Biology Society (EMBC), pp. 2327–2330. IEEE (2012)
Liu, X., Tuncali, K., Wells, W.M., Zientara, G.P.: Automatic iceball segmentation with adapted shape priors for mri-guided cryoablation. J. Magn. Reson. Imaging 41, 517–524 (2013)
Liu, X., Tuncali, K., Wells, W.M., Zientara, G.P.: Automatic probe artifact detection in MRI-guided cryoablation. In: SPIE Medical Imaging, p. 86712E. International Society for Optics and Photonics (2013)
Mouraviev, V., Joniau, S., Van Poppel, H., Polascik, T.J.: Current status of minimally invasive ablative techniques in the treatment of small renal tumours. Eur. Urol. 51(2), 328–336 (2007)
Pantuck, A.J., Zisman, A., Belldegrun, A.S.: The changing natural history of renal cell carcinoma. J. Urol. 166(5), 1611–1623 (2001)
Silverman, S.G., Tuncali, K., Vansonnenberg, E., Morrison, P.R., Shankar, S., Ramaiya, N., Richie, J.P.: Renal tumors: MR imaging-guided percutaneous cryotherapy initial experience in 23 patients. Radiology 236(2), 716–724 (2005)
Tuncali, K., Morrison, P.R., Winalski, C.S., Carrino, J.A., Shankar, S., Ready, J.E., vanSonnenberg, E., Silverman, S.G.: MRI-guided percutaneous cryotherapy for soft-tissue and bone metastases: initial experience. Am. J. Roentgenol. 189(1), 232–239 (2007)
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Scalera, J., Liu, X., Zientara, G.P., Tuncali, K. (2016). From Subjective to Objective: Quantitative Computerized Monitoring Tool for MRI-guided Cryoablation. In: Oyarzun Laura, C., et al. Clinical Image-Based Procedures. Translational Research in Medical Imaging. CLIP 2015. Lecture Notes in Computer Science(), vol 9401. Springer, Cham. https://doi.org/10.1007/978-3-319-31808-0_11
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DOI: https://doi.org/10.1007/978-3-319-31808-0_11
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