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使用基于计算机断层扫描的图像分割对溶骨性椎体转移性疾病体积进行量化可预测脊柱立体定向体部放射治疗后的骨折风险。

Volume of Lytic Vertebral Body Metastatic Disease Quantified Using Computed Tomography-Based Image Segmentation Predicts Fracture Risk After Spine Stereotactic Body Radiation Therapy.

作者信息

Thibault Isabelle, Whyne Cari M, Zhou Stephanie, Campbell Mikki, Atenafu Eshetu G, Myrehaug Sten, Soliman Hany, Lee Young K, Ebrahimi Hamid, Yee Albert J M, Sahgal Arjun

机构信息

Department of Radiation Oncology, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Ontario, Canada; Department of Radiation Oncology, Centre Hospitalier de L'Universite de Québec-Université Laval, Quebec, Quebec, Canada.

Orthopaedic Biomechanics Laboratory, Sunnybrook Research Institute, Department of Surgery, University of Toronto, Toronto, Ontario, Canada.

出版信息

Int J Radiat Oncol Biol Phys. 2017 Jan 1;97(1):75-81. doi: 10.1016/j.ijrobp.2016.09.029. Epub 2016 Sep 28.

Abstract

PURPOSE

To determine a threshold of vertebral body (VB) osteolytic or osteoblastic tumor involvement that would predict vertebral compression fracture (VCF) risk after stereotactic body radiation therapy (SBRT), using volumetric image-segmentation software.

METHODS AND MATERIALS

A computational semiautomated skeletal metastasis segmentation process refined in our laboratory was applied to the pretreatment planning CT scan of 100 vertebral segments in 55 patients treated with spine SBRT. Each VB was segmented and the percentage of lytic and/or blastic disease by volume determined.

RESULTS

The cumulative incidence of VCF at 3 and 12 months was 14.1% and 17.3%, respectively. The median follow-up was 7.3 months (range, 0.6-67.6 months). In all, 56% of segments were determined lytic, 23% blastic, and 21% mixed, according to clinical radiologic determination. Within these 3 clinical cohorts, the segmentation-determined mean percentages of lytic and blastic tumor were 8.9% and 6.0%, 0.2% and 26.9%, and 3.4% and 15.8% by volume, respectively. On the basis of the entire cohort (n=100), a significant association was observed for the osteolytic percentage measures and the occurrence of VCF (P<.001) but not for the osteoblastic measures. The most significant lytic disease threshold was observed at ≥11.6% (odds ratio 37.4, 95% confidence interval 9.4-148.9). On multivariable analysis, ≥11.6% lytic disease (P<.001), baseline VCF (P<.001), and SBRT with ≥20 Gy per fraction (P=.014) were predictive.

CONCLUSIONS

Pretreatment lytic VB disease volumetric measures, independent of the blastic component, predict for SBRT-induced VCF. Larger-scale trials evaluating our software are planned to validate the results.

摘要

目的

使用容积图像分割软件确定椎体溶骨性或成骨性肿瘤累及的阈值,以预测立体定向体部放射治疗(SBRT)后椎体压缩骨折(VCF)的风险。

方法和材料

将在我们实验室中完善的计算半自动化骨骼转移瘤分割过程应用于55例接受脊柱SBRT治疗患者的100个椎体节段的治疗前计划CT扫描。对每个椎体进行分割,并确定溶骨性和/或成骨性疾病的体积百分比。

结果

3个月和12个月时VCF的累积发生率分别为14.1%和17.3%。中位随访时间为7.3个月(范围0.6 - 67.6个月)。根据临床放射学判定,所有节段中,56%为溶骨性,23%为成骨性,21%为混合型。在这3个临床队列中,分割确定的溶骨性和成骨性肿瘤的平均体积百分比分别为8.9%和6.0%、0.2%和26.9%、3.4%和15.8%。基于整个队列(n = 100),观察到溶骨性百分比测量值与VCF的发生之间存在显著关联(P <.001),而成骨性测量值则无此关联。溶骨性疾病阈值在≥11.6%时最为显著(比值比37.4,95%置信区间9.4 - 148.9)。多变量分析显示,溶骨性疾病≥11.6%(P <.001)、基线VCF(P <.001)以及每次分割剂量≥20 Gy的SBRT(P =.014)具有预测性。

结论

治疗前溶骨性椎体疾病的容积测量值,独立于成骨性成分,可预测SBRT诱导的VCF。计划开展更大规模的试验来评估我们的软件以验证结果。

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