To a degree, the use of soft-tissue modeling for updating image-guided navigational systems has not been embraced by the mainstream scientific community. It has only just recently found application within the neuronavigation community (although no commercial systems are available yet) and is still under investigation. Much of this frustration is not due to the growing number of methodologies but rather to a misunderstanding of the goals of model-updating, and an inability to test and validate. With respect to the former, it is naove to believe that modeling can account for all fine-scale deformations. However, the question to be answered is, within the confines of surgical margin, can model-updating significantly impact surgical resection? This is a central research hypothesis to be investigated within this application. What sets this application apart is that if the milestones are achieved, the outcome could result in a soft-tissue deformation correction system for image- guided liver surgery systems that could be immediately commercially available for patient care. More specifically, at the conclusion of this work, an image-guided liver surgical system capable of deformation correction will be generated, a preliminary experience with the fidelity of those corrections will be established, and the technology will be commercially available. This is possible because this application will leverage an ongoing relationship with Pathfinder Therapeutics Incorporated (PTI) that is in the process of testing their image-guided liver surgery (IGLS) system and an independent clinical evaluator at Memorial Sloan Kettering Cancer Center. PTI has agreed to share their technological platform with the PD as well as provide open systems and support to support the integration of the novel tissue deformation correction strategy proposed herein. Members of the PTI team have already contributed to the methodologies within this application and have vested scientific interest to continue within the scope of this application with the PD. The hypothesis that models can be used to correct for deformation within IGLS will be supported by three specific aims which involve: (1) incorporate the non-rigid correction compute node controller into the Pathfinder Therapeutics Inc. guidance platform, test, and then deploy to our clinical site, (2) evaluate intraoperative deformation correction using the compute node controller in a clinical trial, and (3) begin to investigate the controller/system within the context of minimally invasive procedures. Previous work involved the development of our registration methods and deformation correction compute node controller. We have succeeded in this endeavor and have shown promise. We are poised to complete the next phase with the deployment into a commercially available IGLS system, and the testing at an independent clinical site in two 25 patient studies as well as address minimally invasive procedures. In addition, it should be noted that while the controller will be integrated into a specific platform, the technology itself is amenable to integration with any image-guided surgery platform.
Primary and metastatic cancer within the liver is becoming increasingly common. There is significant evidence that intra-abdominal liver surgery improves survival times for patients afflicted with metastatic disease. Currently the patient population is limited largely due to the complexity of this procedure. Better visualization and guidance would provide surgeons more confidence and would increase the number of surgical candidates and improve the outcome for these patients. If this application is successful, it would lead to the first commercially available image-guided liver surgery system capable of soft-tissue deformation correction. The proposed deformation correction compute node controller would have more widespread impact by being readily adaptable to other surgical systems with similar data. In addition, the strategy would also be compatible with minimally invasive surgeries provided that information regarding organ shape can be acquired using the minimally invasive approach we have identified. Currently, the only commercial means to correct for soft-tissue deformation is to use intraoperative magnetic resonance (iMR) and computed tomography (iCT). These systems are of considerable expense, require staff, incur radiation in the latter, and can be costly to maintain. Due to their cumbersome nature, the patient through-put is also considerably less than a conventional operating room. iCT has been available since the mid-1980's and iMR has been available since the mid-1990's, yet there are still only a handful of systems being used throughout the world. While these are disadvantages, it should be noted that these systems will not be dispensed with and will continue to be developed. However, it is highly probable that these facilities will become referral centers for the most critical cases rather than available as a mainstream technology. The strategy of augmenting an existing image- guidance system with a deformation correction compute node controller is very low cost, may be as effective as the iMR/iCT solution, and is translatable to any medical center with an image-guided surgery system. This application will play an important role in remedying a disconnection between these sparse referral centers and the vast assortment of local medical centers available to the general population.
|Pheiffer, Thomas S; Thompson, Reid C; Rucker, Daniel C et al. (2014) Model-based correction of tissue compression for tracked ultrasound in soft tissue image-guided surgery. Ultrasound Med Biol 40:788-803|
|Leung, Universe; Simpson, Amber L; Araujo, Raphael L C et al. (2014) Remnant growth rate after portal vein embolization is a good early predictor of post-hepatectomy liver failure. J Am Coll Surg 219:620-30|
|Simpson, Amber L; Geller, David A; Hemming, Alan W et al. (2014) Liver planning software accurately predicts postoperative liver volume and measures early regeneration. J Am Coll Surg 219:199-207|
|Kingham, T Peter; Jayaraman, Shiva; Clements, Logan W et al. (2013) Evolution of image-guided liver surgery: transition from open to laparoscopic procedures. J Gastrointest Surg 17:1274-82|
|Simpson, Amber L; Burgner, Jessica; Glisson, Courtenay L et al. (2013) Comparison study of intraoperative surface acquisition methods for surgical navigation. IEEE Trans Biomed Eng 60:1090-9|
|Simpson, Amber L; Dumpuri, Prashanth; Ondrake, Janet E et al. (2013) Preliminary study of a novel method for conveying corrected image volumes in surgical navigation. Int J Med Robot 9:109-18|
|Pheiffer, Thomas S; Simpson, Amber L; Lennon, Brian et al. (2012) Design and evaluation of an optically-tracked single-CCD laser range scanner. Med Phys 39:636-42|