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术前淋巴结分期的工作流程。

Preoperative workflow for lymph nodes staging.

机构信息

Department of Computer Science, University of Verona, 37134 Verona, Italy.

出版信息

Int J Comput Assist Radiol Surg. 2009 Jan;4(1):99-104. doi: 10.1007/s11548-008-0272-z. Epub 2008 Oct 28.

Abstract

PURPOSE

Accurate staging of lymph nodes relies mainly on surgical exploration and manual palpation. We present a new non-invasive diagnostic approach: simulated palpation through virtual laparoscopic instruments.

METHODS

We set up a diagnostic process to extract lymph nodes shape and position from CTs and to analyze the trend of pixels intensities to determine tissue properties in order to feedback the force information.

RESULTS

We have integrated the model, obtained from both the morphological information and stiffness values, in our laparoscopy simulator and surgeons can virtually palpate, with a haptic device, the lymph nodes. We evaluated the workflow extracting lymph nodes from a case study: the feedback provided through the simulator greatly helps the surgeon in the correct staging.

CONCLUSIONS

Results show the feasibility of the approach and in the future we will clinically evaluate this new diagnostic methodology. We are studying the possibility to integrate CTs with other imaging systems to increase the accuracy.

摘要

目的

淋巴结的准确分期主要依赖于手术探查和手动触诊。我们提出了一种新的非侵入性诊断方法:通过虚拟腹腔镜器械进行模拟触诊。

方法

我们建立了一个诊断流程,从 CT 中提取淋巴结的形状和位置,并分析像素强度的趋势以确定组织特性,从而反馈力信息。

结果

我们已经将从形态信息和硬度值获得的模型集成到我们的腹腔镜模拟器中,外科医生可以通过触觉设备虚拟触诊淋巴结。我们评估了从病例研究中提取淋巴结的工作流程:模拟器提供的反馈极大地帮助了外科医生进行正确的分期。

结论

结果表明该方法具有可行性,未来我们将对这种新的诊断方法进行临床评估。我们正在研究将 CT 与其他成像系统集成以提高准确性的可能性。

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