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具有专用源到背景算法的高空间分辨率数字正电子发射断层扫描图像,用于放射治疗计划。

High Spatial Resolution Digital Positron Emission Tomography Images With Dedicated Source-to-background Algorithm for Radiotherapy Planning.

机构信息

Department of Radiation Oncology, Faculty of Life Sciences, Kumamoto University, Kumamoto, Japan.

Department of Radiation Oncology, Faculty of Life Sciences, Kumamoto University, Kumamoto, Japan

出版信息

Anticancer Res. 2020 May;40(5):2567-2572. doi: 10.21873/anticanres.14227.

Abstract

BACKGROUND/AIM: To evaluate the utility of high spatial resolution digital positron emission tomography images with the source-to-background ratio (SBR) algorithm for gross tumour volume (GTV) delineation.

MATERIALS AND METHODS

The bowl and spheres (10-37 mm) were filled with fluoro-2-deoxy-D-glucose to achieve 4-16 times background radioactivity. The images were reconstructed using three isotropic voxel sizes. The SBR and percentage threshold (TH) to SUV were calculated. The plots between SBR and TH were fitted using a regression equation. The contoured volumes (CVs) of the spheres were calculated by applying TH.

RESULTS

TH was 38.6+75.0/SBR for 4 mm voxel size; 39.6+37.0/SBR for 2 mm; and 38.8+35.2/SBR for 1 mm. The mean relative errors between CV and true volume for 4, 2, and 1 mm voxel sizes were 15%, 7%, and 7%, respectively.

CONCLUSION

The present technique is useful for GTV delineation with reduced contouring error.

摘要

背景/目的:评估高空间分辨率数字正电子发射断层扫描图像与源背景比(SBR)算法在大体肿瘤体积(GTV)勾画中的应用价值。

材料与方法

将碗和球体(10-37mm)填充氟代-2-脱氧-D-葡萄糖,以达到 4-16 倍背景放射性。使用三种各向同性体素大小进行图像重建。计算 SBR 和 SUV 的百分比阈值(TH)。使用回归方程拟合 SBR 和 TH 之间的关系图。通过应用 TH 计算球体的轮廓体积(CV)。

结果

对于 4mm 体素大小,TH 为 38.6+75.0/SBR;对于 2mm 体素大小,TH 为 39.6+37.0/SBR;对于 1mm 体素大小,TH 为 38.8+35.2/SBR。对于 4、2 和 1mm 体素大小,CV 与真实体积之间的平均相对误差分别为 15%、7%和 7%。

结论

本技术对于降低勾画误差的 GTV 勾画是有用的。

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