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在二维千伏分次内图像上进行六自由度骨盆骨监测,以实现局部晚期前列腺癌的多靶点追踪。

Six-degrees-of-freedom pelvic bone monitoring on 2D kV intrafraction images to enable multi-target tracking for locally advanced prostate cancer.

作者信息

Hewson Emily A, Dillon Owen, Poulsen Per R, Booth Jeremy T, Keall Paul J

机构信息

Image X Institute, Sydney School of Health Sciences, The University of Sydney, Sydney, Australia.

Danish Centre for Particle Therapy, Aarhus University Hospital, Aarhus, Denmark.

出版信息

Med Phys. 2025 Jan;52(1):77-87. doi: 10.1002/mp.17465. Epub 2024 Oct 23.

Abstract

BACKGROUND

Patients with locally advanced prostate cancer require the prostate and pelvic lymph nodes to be irradiated simultaneously during radiation therapy treatment. However, relative motion between treatment targets decreases dosimetric conformity. Current treatment methods mitigate this error by having large treatment margins and often prioritize the prostate at patient setup at the cost of lymph node coverage.

PURPOSE

Treatment accuracy can be improved through real-time multi-target adaptation which requires simultaneous motion monitoring of both the prostate and lymph node targets. This study developed and evaluated an intrafraction pelvic bone motion monitoring method as a surrogate for pelvic lymph node displacement to be combined with prostate motion monitoring to enable multi-target six-degrees-of-freedom (6DoF) tracking using 2D kV projections acquired during treatment.

MATERIAL AND METHODS

A method to monitor pelvic bone translation and rotation was developed and retrospectively applied to images from 20 patients treated in the TROG 15.01 Stereotactic Prostate Ablative Radiotherapy with Kilovoltage Intrafraction Monitoring (KIM) trial. The pelvic motion monitoring method performed template matching to calculate the 6DoF position of the pelvis from 2D kV images. The method first generated a library of digitally reconstructed radiographs (DRRs) for a range of imaging angles and pelvic rotations. The normalized 2D cross-correlations were then calculated for each incoming kV image and a subset of DRRs and the DRR with the maximum correlation coefficient was used to estimate the pelvis translation and rotation. Translation of the pelvis in the unresolved direction was calculated using a 3D Gaussian probability estimation method. Prostate motion was measured using the KIM marker tracking method. The pelvic motion monitoring method was compared to the ground truth obtained from a 6DoF rigid registration of the CBCT and CT.

RESULTS

The geometric errors of the pelvic motion monitoring method demonstrated sub-mm and sub-degree accuracy and precision in the translational directions ( , , ) and rotational directions ( , , ). The 3D relative displacement between the prostate and pelvic bones exceeded 2, 3, 5, and 7 mm for approximately 66%, 44%, 12%, and 7% of the images.

CONCLUSIONS

Accurate intrafraction pelvic bone motion monitoring in 6DoF was demonstrated on 2D kV images, providing a necessary tool for real-time multi-target motion-adapted treatment.

摘要

背景

局部晚期前列腺癌患者在放射治疗期间需要同时对前列腺和盆腔淋巴结进行照射。然而,治疗靶区之间的相对运动会降低剂量适形性。目前的治疗方法通过设置较大的治疗边界来减轻这种误差,并且在患者摆位时通常以牺牲淋巴结覆盖范围为代价优先考虑前列腺。

目的

通过实时多靶区自适应可以提高治疗精度,这需要同时对前列腺和淋巴结靶区进行运动监测。本研究开发并评估了一种分次内盆腔骨运动监测方法,作为盆腔淋巴结位移的替代方法,与前列腺运动监测相结合,以利用治疗期间采集的二维千伏(kV)投影实现多靶区六自由度(6DoF)跟踪。

材料与方法

开发了一种监测盆腔骨平移和旋转的方法,并将其回顾性应用于TROG 15.01立体定向前列腺消融放疗与千伏分次内监测(KIM)试验中20例患者的图像。盆腔运动监测方法进行模板匹配,以从二维kV图像计算骨盆的6DoF位置。该方法首先针对一系列成像角度和盆腔旋转生成数字重建射线照片(DRR)库。然后针对每个传入的kV图像和DRR子集计算归一化二维互相关,并使用具有最大相关系数的DRR来估计骨盆平移和旋转。使用三维高斯概率估计方法计算骨盆在未解析方向上的平移。使用KIM标记跟踪方法测量前列腺运动。将盆腔运动监测方法与从CBCT和CT的6DoF刚性配准获得的真实情况进行比较。

结果

盆腔运动监测方法的几何误差在平移方向( , , )和旋转方向( , , )上显示出亚毫米和亚度的准确性和精确性。对于大约66%、44%、12%和7%的图像,前列腺与盆腔骨之间的三维相对位移超过2、3、5和7毫米。

结论

在二维kV图像上证明了在6DoF中进行准确的分次内盆腔骨运动监测,为实时多靶区运动自适应治疗提供了必要工具。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4178/11700008/4be39164ddb7/MP-52-77-g003.jpg

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