Machine Learning-Based Noninvasive Quantification of Single-Imaging Session Dual-Tracer 18F-FDG and 68Ga-DOTATATE Dynamic PET-CT in Oncology
Machine Learning-Based Noninvasive Quantification of Single-Imaging Session Dual-Tracer 18F-FDG and 68Ga-DOTATATE Dynamic PET-CT in Oncology
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DOI：
10.1109/tmi.2021.3112783
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发表时间：
2022-02-01
影响因子：
10.6
通讯作者：
Zhou, Yun
中科院分区：
文献类型：
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作者：
Ding, Wenxiang;Yu, Jiangyuan;Zhou, Yun
Ga-68-DOTATATE PET-CT常规用于神经内分泌肿瘤（NET）患者生长抑素受体亚型2 （SSTR2）密度成像，与FDG PET-CT互补，可提高NET检测、表征、分级、分期的准确性，并预测/监测NET对治疗的反应。进行连续的F-18-FDG和Ga-68-DOTATATE PET扫描将需要2天或更长时间，并可能延迟患者的护理。为了调整F-18-FDG和Ga-68-DOTATATE PET的时空测量值，并减少扫描时间和患者的CT辐射暴露，我们在研究中提出了一种单成像双示踪剂动态PET采集方案。提出了一种循环极端梯度增强（rXGBoost）机器学习算法，用于分离F-18-FDG和Ga-68-DOTATATE混合时间活性曲线（TACs），用于基于示踪动力学建模的感兴趣区域（ROI）量化。采用传统的并行多示踪剂室建模方法，以供参考。采用F-18-FDG和Ga-68-DOTATATE分别在2天内获得的45分钟动态PET扫描，模拟了12例NET患者的单扫描双示踪剂动态PET。我们的实验结果表明，首先注射F-18-FDG，然后注射Ga-68-DOTATATE，延迟注射至少5分钟，使用rXGBoost算法和示踪动力学建模分离混合F-18-FDG和Ga-68-DOTATATE tac是非常可行的。
Ga-68-DOTATATE PET-CT is routinely used for imaging neuroendocrine tumor (NET) somatostatin receptor subtype 2 (SSTR2) density in patients, and is complementary to FDG PET-CT for improving the accuracy of NET detection, characterization, grading, staging, and predicting/monitoring NET responses to treatment. Performing sequential F-18-FDG and Ga-68-DOTATATE PET scans would require 2 or more days and can delay patient care. To align temporal and spatial measurements of F-18-FDG and Ga-68-DOTATATE PET, and to reduce scan time and CT radiation exposure to patients, we propose a single-imaging session dual-tracer dynamic PET acquisition protocol in the study. A recurrent extreme gradient boosting (rXGBoost) machine learning algorithm was proposed to separate the mixed F-18-FDG and Ga-68-DOTATATE time activity curves (TACs) for the region of interest (ROI) based quantification with tracer kinetic modeling. A conventional parallel multi-tracer compartment modeling method was also implemented for reference. Single-scan dual-tracer dynamic PET was simulated from 12 NET patient studies with F-18-FDG and Ga-68-DOTATATE 45-min dynamic PET scans separately obtained within 2 days. Our experimental results suggested an F-18-FDG injection first followed by Ga-68-DOTATATE with a minimum 5 min delayed injection protocol for the separation of mixed F-18-FDG and Ga-68-DOTATATE TACs using rXGBoost algorithm followed by tracer kinetic modeling is highly feasible.