Dataset Information

Elastography using multi-stream GPU: an application to online tracked ultrasound elastography, in-vivo and the da Vinci Surgical System.

ABSTRACT: A system for real-time ultrasound (US) elastography will advance interventions for the diagnosis and treatment of cancer by advancing methods such as thermal monitoring of tissue ablation. A multi-stream graphics processing unit (GPU) based accelerated normalized cross-correlation (NCC) elastography, with a maximum frame rate of 78 frames per second, is presented in this paper. A study of NCC window size is undertaken to determine the effect on frame rate and the quality of output elastography images. This paper also presents a novel system for Online Tracked Ultrasound Elastography (O-TRuE), which extends prior work on an offline method. By tracking the US probe with an electromagnetic (EM) tracker, the system selects in-plane radio frequency (RF) data frames for generating high quality elastograms. A novel method for evaluating the quality of an elastography output stream is presented, suggesting that O-TRuE generates more stable elastograms than generated by untracked, free-hand palpation. Since EM tracking cannot be used in all systems, an integration of real-time elastography and the da Vinci Surgical System is presented and evaluated for elastography stream quality based on our metric. The da Vinci surgical robot is outfitted with a laparoscopic US probe, and palpation motions are autonomously generated by customized software. It is found that a stable output stream can be achieved, which is affected by both the frequency and amplitude of palpation. The GPU framework is validated using data from in-vivo pig liver ablation; the generated elastography images identify the ablated region, outlined more clearly than in the corresponding B-mode US images.

SUBMITTER: Deshmukh NP

PROVIDER: S-EPMC4277422 | biostudies-literature | 2014

REPOSITORIES: biostudies-literature

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Publications

Elastography using multi-stream GPU: an application to online tracked ultrasound elastography, in-vivo and the da Vinci Surgical System.

Deshmukh Nishikant P NP Kang Hyun Jae HJ Billings Seth D SD Taylor Russell H RH Hager Gregory D GD Boctor Emad M EM

PloS one 20141226 12

A system for real-time ultrasound (US) elastography will advance interventions for the diagnosis and treatment of cancer by advancing methods such as thermal monitoring of tissue ablation. A multi-stream graphics processing unit (GPU) based accelerated normalized cross-correlation (NCC) elastography, with a maximum frame rate of 78 frames per second, is presented in this paper. A study of NCC window size is undertaken to determine the effect on frame rate and the quality of output elastography i ...[more]

PMID: 25541954

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Project description:The da Vinci® single-port (SP) and multiport (Xi) approaches to robotic-assisted radical prostatectomy (RARP) are described by different authors in the literature, primarily comparing short-term outcomes of both modalities. To our knowledge, this is the first article comparing the surgical perspective and satisfaction of patients who underwent RARP with the SP and Xi platforms. To determine the patient surgical perspective and satisfaction in terms of pain control, return to normal activity, and overall results of surgery for two groups who underwent SP and Xi radical prostatectomy. The data from 71 consecutive patients who underwent SP RARP in a single center from June 2019 to April 2020 was compared to 875 patients who underwent Xi RARP in the same period. A single surgeon performed all procedures with a transperitoneal technique. After a propensity score match, two groups of 71 patients (SP and Xi) were selected and compared in the study. Patients were contacted by phone by two interviewers and a questionnaire was administered in English or Spanish. Patients were instructed not to disclose the type of robotic surgery they underwent, as interviewers were blinded to that information. A validated Surgical Satisfaction Questionnaire (SSQ-8) was used, along with an additional question from our institution asking about the satisfaction with the number of incision sites (GRI-1). Data were analyzed as continuous and discrete variables to compare the differences between the Xi and SP cohorts. A response rate of 85.9% (n = 61) in the Xi group and 73.2% (n = 52) in the SP group was captured. Overall satisfaction with surgical results was 80% and 88% in the Xi and SP cohorts, respectively. No statistical difference in responses was found between the Xi and SP cohorts for SSQ-8. However, GRI-1 demonstrated a statistically significant difference (P < 0.001) in terms of number of scars that favors the SP approach. Limitations of this study are the small sample size and recall bias. We found no statistical difference between the groups regarding the answers for SSQ-8 questionnaire; both groups were very satisfied. When assessing the number of incision sites with the GRI-1 question, patients who underwent MP had lower satisfaction rates compared to SP. These patients perceived the number of scars and their appearance as reason for lower satisfaction. We believe that future studies should consider patient's postoperative perspective when adopting new platforms in order to combine adequate treatment with patient expectations. We performed a study assessing the postoperative satisfaction and perspectives of two groups of patients who underwent radical prostatectomy with two different robots (SP and Xi). There was no difference in patient satisfaction with the results of either the da Vinci® SP or Xi RARP except for the patients' perception on their number of scars, which favored the SP group.

Dataset Information

Elastography using multi-stream GPU: an application to online tracked ultrasound elastography, in-vivo and the da Vinci Surgical System.

Publications

Elastography using multi-stream GPU: an application to online tracked ultrasound elastography, in-vivo and the da Vinci Surgical System.

Similar Datasets

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