Suppr超能文献

基于表面的形变图像配准在非小细胞肺癌自适应放疗中的演变。

Evolution of surface-based deformable image registration for adaptive radiotherapy of non-small cell lung cancer (NSCLC).

机构信息

Department of Radiation Oncology, University of Wuerzburg, Wuerzburg, Germany.

出版信息

Radiat Oncol. 2009 Dec 21;4:68. doi: 10.1186/1748-717X-4-68.

Abstract

BACKGROUND

To evaluate the performance of surface-based deformable image registration (DR) for adaptive radiotherapy of non-small cell lung cancer (NSCLC).

METHODS

Based on 13 patients with locally advanced NSCLC, CT images acquired at treatment planning, midway and the end of the radio- (n = 1) or radiochemotherapy (n = 12) course were used for evaluation of DR. All CT images were manually [gross tumor volume (GTV)] and automatically [organs-at-risk (OAR) lung, spinal cord, vertebral spine, trachea, aorta, outline] segmented. Contours were transformed into 3D meshes using the Pinnacle treatment planning system and corresponding mesh points defined control points for DR with interpolation within the structures. Using these deformation maps, follow-up CT images were transformed into the planning images and compared with the original planning CT images.

RESULTS

A progressive tumor shrinkage was observed with median GTV volumes of 170 cm(3) (range 42 cm(3) - 353 cm(3)), 124 cm(3) (19 cm(3) - 325 cm(3)) and 100 cm(3) (10 cm(3) - 270 cm(3)) at treatment planning, mid-way and at the end of treatment. Without DR, correlation coefficients (CC) were 0.76 +/- 0.11 and 0.74 +/- 0.10 for comparison of the planning CT and the CT images acquired mid-way and at the end of treatment, respectively; DR significantly improved the CC to 0.88 +/- 0.03 and 0.86 +/- 0.05 (p = 0.001), respectively. With manual landmark registration as reference, DR reduced uncertainties on the GTV surface from 11.8 mm +/- 5.1 mm to 2.9 mm +/- 1.2 mm. Regarding the carina and intrapulmonary vessel bifurcations, DR reduced uncertainties by about 40% with residual errors of 4 mm to 6 mm on average. Severe deformation artefacts were observed in patients with resolving atelectasis and pleural effusion, in one patient, where the tumor was located around large bronchi and separate segmentation of the GTV and OARs was not possible, and in one patient, where no clear shrinkage but more a decay of the tumor was observed.

DISCUSSION

The surface-based DR performed accurately for the majority of the patients with locally advanced NSCLC. However, morphological response patterns were identified, where results of the surface-based DR are uncertain.

摘要

背景

评估基于表面的形变图像配准(DR)在非小细胞肺癌(NSCLC)自适应放疗中的性能。

方法

基于 13 例局部晚期 NSCLC 患者,在治疗计划、中期和放射(n = 1)或放化疗(n = 12)过程中采集 CT 图像,用于评估 DR。所有 CT 图像均由手动[大体肿瘤体积(GTV)]和自动[危及器官(OAR)肺、脊髓、脊柱、气管、主动脉、轮廓]分割。使用 Pinnacle 治疗计划系统将轮廓转换为 3D 网格,并使用插值在结构内定义相应的网格点作为 DR 的控制点。使用这些变形图,将后续 CT 图像转换为计划图像,并与原始计划 CT 图像进行比较。

结果

观察到肿瘤进行性缩小,治疗计划时的中位 GTV 体积为 170cm3(范围 42cm3-353cm3)、124cm3(19cm3-325cm3)和 100cm3(10cm3-270cm3),中期和治疗结束时。无 DR 时,计划 CT 与中期和治疗结束时采集的 CT 图像的相关系数(CC)分别为 0.76 +/- 0.11 和 0.74 +/- 0.10;DR 显著提高至 0.88 +/- 0.03 和 0.86 +/- 0.05(p = 0.001)。以手动标志点配准为参考,DR 将 GTV 表面的不确定性从 11.8mm +/- 5.1mm 降低至 2.9mm +/- 1.2mm。对于隆突和肺内血管分支,DR 将不确定性降低了约 40%,残余误差平均为 4mm 至 6mm。在出现吸收性肺不张和胸腔积液的患者中观察到严重的变形伪影,在 1 例患者中,肿瘤位于大支气管周围,无法单独对 GTV 和 OAR 进行分割,在 1 例患者中,肿瘤没有明显缩小,而是更多地是衰减。

讨论

基于表面的 DR 对大多数局部晚期 NSCLC 患者的表现准确。然而,已经确定了形态响应模式,基于表面的 DR 的结果存在不确定性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5d9d/2804595/6217dc985d9f/1748-717X-4-68-1.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验