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经会阴入路 MRI 引导靶向前列腺穿刺的开源平台。

Open Source Platform for Transperineal In-Bore MRI-Guided Targeted Prostate Biopsy.

出版信息

IEEE Trans Biomed Eng. 2020 Feb;67(2):565-576. doi: 10.1109/TBME.2019.2918731. Epub 2019 May 23.

Abstract

OBJECTIVE

Accurate biopsy sampling of the suspected lesions is critical for the diagnosis and clinical management of prostate cancer. Transperineal in-bore MRI-guided prostate biopsy (tpMRgBx) is a targeted biopsy technique that was shown to be safe, efficient, and accurate. Our goal was to develop an open source software platform to support evaluation, refinement, and translation of this biopsy approach.

METHODS

We developed SliceTracker, a 3D Slicer extension to support tpMRgBx. We followed modular design of the implementation to enable customization of the interface and interchange of image segmentation and registration components to assess their effect on the processing time, precision, and accuracy of the biopsy needle placement. The platform and supporting documentation were developed to enable the use of software by an operator with minimal technical training to facilitate translation. Retrospective evaluation studied registration accuracy, effect of the prostate segmentation approach, and re-identification time of biopsy targets. Prospective evaluation focused on the total procedure time and biopsy targeting error (BTE).

RESULTS

Evaluation utilized data from 73 retrospective and ten prospective tpMRgBx cases. Mean landmark registration error for retrospective evaluation was 1.88 ± 2.63 mm, and was not sensitive to the approach used for prostate gland segmentation. Prospectively, we observed target re-identification time of 4.60 ± 2.40 min and BTE of 2.40 ± 0.98 mm.

CONCLUSION

SliceTracker is modular and extensible open source platform for supporting image processing aspects of the tpMRgBx procedure. It has been successfully utilized to support clinical research procedures at our site.

摘要

目的

准确采集疑似病变部位的活检样本对前列腺癌的诊断和临床管理至关重要。经会阴腔内磁共振引导下前列腺活检(tpMRgBx)是一种靶向活检技术,已被证明是安全、高效和准确的。我们的目标是开发一个开源软件平台,以支持对这种活检方法的评估、改进和翻译。

方法

我们开发了 SliceTracker,这是一个支持 tpMRgBx 的 3D Slicer 扩展。我们遵循实现的模块化设计,以实现界面的定制和图像分割和注册组件的交换,以评估它们对活检针放置的处理时间、精度和准确性的影响。该平台和支持文档的开发是为了使操作员在最小的技术培训下使用软件,以促进翻译。回顾性评估研究了注册精度、前列腺分割方法的效果以及活检目标的重新识别时间。前瞻性评估主要关注总手术时间和活检靶向误差(BTE)。

结果

评估使用了 73 例回顾性和 10 例前瞻性 tpMRgBx 病例的数据。回顾性评估的平均标志点注册误差为 1.88±2.63mm,且不受前列腺分割方法的影响。前瞻性地,我们观察到目标重新识别时间为 4.60±2.40min,BTE 为 2.40±0.98mm。

结论

SliceTracker 是一个模块化和可扩展的开源平台,用于支持 tpMRgBx 过程中的图像处理方面。它已成功用于支持我们机构的临床研究程序。

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