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节段性图像融合在脊柱放射外科中用于改善脊柱肿瘤靶向定位的有效应用。

The effective application of segmental image fusion in spinal radiosurgery for improved targeting of spinal tumours.

作者信息

Sohn Moon-Jun, Lee Dong-Joon, Yoon Sang Won, Lee Hye Ran, Hwang Yoon Joon

机构信息

Department of Neurosurgery, Novalis Radiosurgery Center, Inje University Ilsan Paik Hospital, College of Medicine, 2240 Daehwa dong, Ilsan Gu, Goyang City, Gyeonggi Province, Korea, 411-706.

出版信息

Acta Neurochir (Wien). 2009 Mar;151(3):231-8; discussion 238. doi: 10.1007/s00701-009-0210-z. Epub 2009 Feb 25.

Abstract

PURPOSE

As a result of experiences of failed image fusion, an improved protocol for effective CT and MRI image fusion was developed. Image fusion is a critical part of image-guided stereotactic radiosurgery (IG-SRS) and greatly influences the accurate measurement of gross tumour volume (GTV) and optimal dosimetry. Avoidance of any positional discrepancy is vital for optimal image fusion and results in improved targeting, which improves clinical results. This paper describes a protocol for effective image fusion and how it impacted on the clinical outcome of stereotactic radiosurgery for spinal tumours.

METHODS

Fused MRI/CT images from 20 patients were examined and compared. A protocol for fusing images from thin slice MR images and CTs was developed for improved identification and measurement of tumour volume. Differences in individual GTV values both before and after image fusion were evaluated. The effectiveness of tumour targeting was also assessed by comparing discrepancies in individual and overall GTV values.

RESULTS

Differences in mean GTVs using either CT or MRI alone compared with the mean found through combined CT/MR image fusion showed a difference of 30.5 +/- 4.8% and 14.5 +/- 3.3% respectively. Additionally, the median GTV values from CT- and MR-based imaging were 11.64 +/- 7.8 cm(3) and 11.72 +/- 6.6 cm(3) vs 14.06 +/- 8.0 cm(3). Median GTV from CT-MR fusion was 14.06 +/- 8.0 cm(3). Improved information provided by the fused images enabled us to prescribe more effective dosages, as the fused images gave more accurate information about tumour se due to better delineation of tumour perimeters.

CONCLUSIONS

This protocol provides improved visualisation of spinal tumours and enables better treatment planning. Segmented image fusion was shown to provide significant advantages for planning stereotactic radiosurgery. Fused images provided more precise and accurate data and allowed better targeting of tumours, with improved tumour coverage that resulted in better clinical outcomes.

摘要

目的

鉴于图像融合失败的经验,开发了一种用于有效CT和MRI图像融合的改进方案。图像融合是图像引导立体定向放射外科手术(IG-SRS)的关键部分,对大体肿瘤体积(GTV)的准确测量和最佳剂量测定有很大影响。避免任何位置差异对于实现最佳图像融合至关重要,有助于改善靶向定位,从而提高临床效果。本文描述了一种有效图像融合方案及其对脊柱肿瘤立体定向放射外科临床结果的影响。

方法

对20例患者的融合MRI/CT图像进行检查和比较。制定了一种融合薄层MR图像和CT图像的方案,以改进肿瘤体积的识别和测量。评估图像融合前后个体GTV值的差异。还通过比较个体和总体GTV值的差异来评估肿瘤靶向的有效性。

结果

单独使用CT或MRI时的平均GTV与通过CT/MR图像融合得出的平均值相比,差异分别为30.5±4.8%和14.5±3.3%。此外,基于CT和MR成像的GTV中位数分别为11.64±7.8 cm³和11.72±6.6 cm³,而CT-MR融合后的中位数为14.06±8.0 cm³。融合图像提供的更多信息使我们能够制定更有效的剂量,因为融合图像由于能更好地勾勒肿瘤边界,从而提供了关于肿瘤大小的更准确信息。

结论

该方案改善了脊柱肿瘤的可视化效果,有助于更好地进行治疗规划。分割图像融合在立体定向放射外科手术规划中显示出显著优势。融合图像提供了更精确准确的数据,使肿瘤靶向更好,肿瘤覆盖改善,从而带来更好的临床结果。

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