Comparison of different Tc-99m-MAA imaging protocols for Y-90 SIRT treatment planning

作者
Mingren Feng,Tiantian Li,Nien‐Yun Wu,Greta S. P. Mok
出处
期刊:Journal of nuclear medicine [Society of Nuclear Medicine and Molecular Imaging]
卷期号:59: 1745-1745
摘要

1745 Objectives: : Previous studies showed that conventional planar Tc-99m MAA imaging overestimates lung shunt fraction (LSF) in Y-90 selective internal radiation therapy (SIRT), and SPECT/CT would provide more accurate result. However, the temporal mismatch between SPECT and conventional helical CT (HCT) may lead to respiratory artifacts from the CT-based attenuation correction. This simulation study aimed to investigate the potential improvement on SIRT treatment planning using SPECT/CT with different attenuation maps for attenuation correction, as compared to planar imaging. Methods: The 4D Extended Cardiac Torso (XCAT) phantoms with Tc-99m MAA activity distribution and 3 anatomical variations were used in this study. For each phantom, respiratory motion of 2 and 4 cm and LSFs of 5%, 10%, 15% and 20% were modeled. We simulated a spherical liver tumor with tumor to normal liver (T/N) ratio of 11.43 and radius of 1.5 cm near the boundary of liver and lungs. An analytical projector was used to simulate anterior and posterior planar projections of the chest and abdomen region (5 min/view), and 128 projections with 30 s/view over 360◦ for SPECT/CT, both modeling attenuation, scatter and geometric collimator-detector-response. Three different attenuation maps were evaluated for SPECT: (i) HCT captured at end-inspiration (HCT-IN), (ii) cine averaged CT (CACT) and (iii) HCT captured at end-expiration (HCT-EX). Projections were reconstructed by OS-EM algorithm with 20 iterations and 16 subsets with full compensations using different attenuation maps. The regions-of-interest of lungs and liver were manually drawn on the planar geometric mean images (2D), while they were drawn on the corresponding CT maps (3D) for SPECT to calculate the LSF, using an open-source software ITK-SNAP. The tumor was delineated from the CT maps for different SPECT protocols to calculate the T/N ratios. The errors of LSF and T/N ratio of different imaging protocols were measured. Results: The LSF errors were generally larger for planar imaging and HCT-IN while relatively smaller for CACT and HCT-EX. For example, for 2 cm motion and 10% LSF, the LSF errors of HCT-IN, CACT, HCT-EX and planar were 77.71±3.89%, 45.19±3.76%, -29.09±3.10% and 45.22±12.36%, while the T/N errors were smallest for CACT followed by HCT-EX, and HCT-IN, i.e., 3.89±1.31%, -9.42±2.21% and -15.01±2.19% respectively. The differences among different protocols are generally higher for lower LSF and higher respiratory motion amplitude. Conclusions: SPECT/CT protocol improves the Y-90 SIRT treatment planning accuracy as compared to planar. HCT-EX or CACT would be recommended for Tc-99m-MAA SPECT/CT attenuation correction to avoid the respiratory artifacts. Further studies to investigate how LSF and T/N ratio impact administrated dosage and radiation dose on critical organs and tumors are warranted. Support: This work was supported by research grants from Macau Science and Technology Development Fund (114/2016/A3) and University of Macau (MYRG2016-00091-FST and MYRG2017-00060-FST).

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
aaa发布了新的文献求助10
刚刚
刚刚
嗯呢完成签到 ,获得积分10
刚刚
lv完成签到,获得积分10
1秒前
Famiglistmo完成签到,获得积分10
1秒前
wang456完成签到,获得积分10
1秒前
王木木发布了新的文献求助10
1秒前
SciGPT应助MXA采纳,获得10
1秒前
AAA完成签到,获得积分20
1秒前
梅梅超勇敢完成签到,获得积分10
1秒前
丁丁当当完成签到,获得积分10
3秒前
三十完成签到,获得积分10
3秒前
3秒前
可乐全糖微冰完成签到,获得积分10
4秒前
yaoyao发布了新的文献求助10
4秒前
4秒前
盏茶轻抿完成签到,获得积分10
4秒前
5秒前
5秒前
步美发布了新的文献求助10
5秒前
5秒前
陶醉渊思完成签到,获得积分10
5秒前
忧虑的电话完成签到,获得积分10
5秒前
桐桐应助Hogsed采纳,获得10
6秒前
半山完成签到,获得积分10
6秒前
双儿完成签到,获得积分10
6秒前
胖虎完成签到 ,获得积分10
6秒前
6秒前
Zero完成签到,获得积分10
6秒前
6秒前
不入当归完成签到,获得积分10
6秒前
和谐的青筠完成签到,获得积分10
7秒前
7秒前
dgz完成签到,获得积分10
8秒前
顾矜应助轻松海白采纳,获得10
8秒前
科研小牛完成签到,获得积分10
9秒前
mumu完成签到,获得积分10
10秒前
陶醉渊思发布了新的文献求助10
10秒前
YJC完成签到 ,获得积分10
11秒前
迷路日完成签到,获得积分10
11秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Römisch-Germanische Forschungen 1000
Social Psychology (第二版) 700
China Pluperfect I: Epistemology of Past and Outside in Chinese Art 520
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
The fast track to determining transfer functions of linear circuits: The student guide 500
The Analytical and Numerical Solution of Electric and Magnetic Fields 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7613422
求助须知:如何正确求助?哪些是违规求助? 9188760
关于积分的说明 19685850
捐赠科研通 7186511
什么是DOI,文献DOI怎么找? 3270833
关于科研通互助平台的介绍 2434395
邀请新用户注册赠送积分活动 2265800