Radiofrequency ablation for liver tumors

Bilchik, Anton J.; Krasny, Robert; Allegra, David

doi:10.1016/b978-1-4377-1454-8.00131-4

Cited by 2 publications

(2 citation statements)

References 72 publications

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“…In patients treated with chemotherapy and in patients with abnormal liver parenchyma (steatotsis or fibrosis/cirrhosis), US can fail to identify tumors seen on preoperative imaging; this has become an increasingly common problem in patients with hepatic colorectal metastases treated with preoperative chemotherapy [9]. In addition, US does not reliably distinguish between ablated and normal tissue [10], further complicating the localization task in patients undergoing multiple ablations. The rationale for image guidance in the liver is to improve localization by mapping the intraoperative organ state to the high-resolution preoperative image.…”

Section: Rationalementioning

confidence: 99%

Current Evidence in Image-Guided Liver Surgery

Kingham

2016

Journal of Gastrointestinal Surgery

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Section: Rationalementioning

confidence: 99%

Current Evidence in Image-Guided Liver Surgery

Kingham

2016

Journal of Gastrointestinal Surgery

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“…In patients treated with neoadjuvant chemotherapy, ultrasonography can fail to localize tumors due to differences in echogeneity in the presence of fatty liver disease 1 and can fail to detect differences in normal and ablated tissue. 2 Image-guided surgery attempts to address the limitations of both imaging modalities by providing real-time fusion and display of these data. Our group has performed fundamental research and development toward an FDA-approved, 3-D surgical navigation system to facilitate intraoperative guidance using fused preoperative tomographic and ultrasonnographic images.…”

Section: Introductionmentioning

confidence: 99%

Deformation correction for image guided liver surgery: An intraoperative fidelity assessment

Clements

Collins

Weis

et al. 2017

Surgery

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Background While systems of 3-D image-guided surgery (IGS) are a valuable adjunct across numerous procedures, differences in organ shape between that reflected in the preoperative image data and the intraoperative state can compromise the fidelity of such guidance based on the image. In this work, we assessed in real time a novel, 3-D IGS platform that incorporates soft tissue deformation i. Methods A series of 125 alignment evaluations were performed across 20 patients. During the operation, the surgeon assessed the liver by swabbing an optically tracked stylus over the liver surface and viewing the IGS display. Each patient had approximately 6 intraoperative comparative evaluations. For each assessment, one of only two types of alignments were considered - conventional rigid and novel deformable. The series of alignment types used was randomized and blinded to the surgeon. The surgeon provided a rating, R, from −3 to +3 for each display as compared to the previous display, whereby a negative rating indicated degradation in fidelity and a positive rating an improvement. Results A statistical analysis of the series of rating data by the clinician indicated that the surgeons were able to perceive an improvement (defined as a R > 1) of the model-based registration over the rigid registration (p = 0.01) as well as a degradation (defined as R < −1) when the rigid registration was compared with the novel deformable guidance information(p = 0.03). Conclusions This study provides evidence of the benefit of deformation correction in providing an accurate location for the liver for use in IGS systems.

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Radiofrequency ablation for liver tumors

Cited by 2 publications

References 72 publications

Current Evidence in Image-Guided Liver Surgery

Current Evidence in Image-Guided Liver Surgery

Deformation correction for image guided liver surgery: An intraoperative fidelity assessment

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