{"title":"利用从海绵窦提取的血液输入函数进行精确的大脑药物动力学参数成像。","authors":"Yafen Kang, Zixiang Chen, Zhuoyue Song, Yaping Wu, Zhenxing Huang, Yuxi Jin, Ting Zhang, Meiyun Wang, Zhanli Hu, Yang Yu","doi":"10.62347/LSYG1380","DOIUrl":null,"url":null,"abstract":"<p><p>Brain pharmacokinetic parametric imaging based on dynamic positron emission tomography (PET) scan is valuable in the diagnosis of brain tumor and neurodegenerative diseases. For short-axis PET system, standard blood input function (BIF) of the descending aorta is not acquirable during the dynamic brain scan. BIF extracted from the intracerebral vascular is inaccurate, making the brain parametric imaging task challenging. This study introduces a novel technique tailored for brain pharmacokinetic parameter imaging in short-axis PET in which the head BIF (hBIF) is acquired from the cavernous sinus. The proposed method optimizes the hBIF within the Patlak model via data fitting, curve correction and Patlak graphical model rewriting. The proposed method was built and evaluated using dynamic PET datasets of 67 patients acquired by uEXPLORER PET/CT, among which 64 datasets were used for data fitting and model construction, and 3 were used for method testing; using cross-validation, a total of 15 patient datasets were finally used to test the model. The performance of the new method was evaluated via visual inspection, root-mean-square error (RMSE) measurements and VOI-based accuracy analysis using linear regression and Person's correlation coefficients (PCC). Compared to directly using the cavernous sinus BIF directly for parameter imaging, the new method achieves higher accuracy in parametric analysis, including the generation of Patlak plots closer to the standard plots, better visual effects and lower RMSE values in the <i>K<sub>i</sub></i> (<i>P</i> = 0.0012) and <i>V</i> (<i>P</i> = 0.0042) images. VOI-based analysis shows regression lines with slopes closer to 1 (<i>P</i> = 0.0019 for <i>K<sub>i</sub></i> ) and smaller intercepts (<i>P</i> = 0.0085 for <i>V</i>). The proposed method is capable of achieving accurate brain pharmacokinetic parametric imaging using cavernous sinus BIF with short-axis PET scan. This may facilitate the application of this imaging technology in the clinical diagnosis of brain diseases.</p>","PeriodicalId":7572,"journal":{"name":"American journal of nuclear medicine and molecular imaging","volume":"14 4","pages":"272-281"},"PeriodicalIF":2.0000,"publicationDate":"2024-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11411194/pdf/","citationCount":"0","resultStr":"{\"title\":\"Accurate brain pharmacokinetic parametric imaging using the blood input function extracted from the cavernous sinus.\",\"authors\":\"Yafen Kang, Zixiang Chen, Zhuoyue Song, Yaping Wu, Zhenxing Huang, Yuxi Jin, Ting Zhang, Meiyun Wang, Zhanli Hu, Yang Yu\",\"doi\":\"10.62347/LSYG1380\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Brain pharmacokinetic parametric imaging based on dynamic positron emission tomography (PET) scan is valuable in the diagnosis of brain tumor and neurodegenerative diseases. For short-axis PET system, standard blood input function (BIF) of the descending aorta is not acquirable during the dynamic brain scan. BIF extracted from the intracerebral vascular is inaccurate, making the brain parametric imaging task challenging. This study introduces a novel technique tailored for brain pharmacokinetic parameter imaging in short-axis PET in which the head BIF (hBIF) is acquired from the cavernous sinus. The proposed method optimizes the hBIF within the Patlak model via data fitting, curve correction and Patlak graphical model rewriting. The proposed method was built and evaluated using dynamic PET datasets of 67 patients acquired by uEXPLORER PET/CT, among which 64 datasets were used for data fitting and model construction, and 3 were used for method testing; using cross-validation, a total of 15 patient datasets were finally used to test the model. The performance of the new method was evaluated via visual inspection, root-mean-square error (RMSE) measurements and VOI-based accuracy analysis using linear regression and Person's correlation coefficients (PCC). Compared to directly using the cavernous sinus BIF directly for parameter imaging, the new method achieves higher accuracy in parametric analysis, including the generation of Patlak plots closer to the standard plots, better visual effects and lower RMSE values in the <i>K<sub>i</sub></i> (<i>P</i> = 0.0012) and <i>V</i> (<i>P</i> = 0.0042) images. VOI-based analysis shows regression lines with slopes closer to 1 (<i>P</i> = 0.0019 for <i>K<sub>i</sub></i> ) and smaller intercepts (<i>P</i> = 0.0085 for <i>V</i>). The proposed method is capable of achieving accurate brain pharmacokinetic parametric imaging using cavernous sinus BIF with short-axis PET scan. This may facilitate the application of this imaging technology in the clinical diagnosis of brain diseases.</p>\",\"PeriodicalId\":7572,\"journal\":{\"name\":\"American journal of nuclear medicine and molecular imaging\",\"volume\":\"14 4\",\"pages\":\"272-281\"},\"PeriodicalIF\":2.0000,\"publicationDate\":\"2024-08-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11411194/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"American journal of nuclear medicine and molecular imaging\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.62347/LSYG1380\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2024/1/1 0:00:00\",\"PubModel\":\"eCollection\",\"JCR\":\"Q3\",\"JCRName\":\"RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"American journal of nuclear medicine and molecular imaging","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.62347/LSYG1380","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/1/1 0:00:00","PubModel":"eCollection","JCR":"Q3","JCRName":"RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING","Score":null,"Total":0}
引用次数: 0
摘要
基于动态正电子发射断层扫描(PET)的脑药动学参数成像在诊断脑肿瘤和神经退行性疾病方面具有重要价值。对于短轴 PET 系统,在动态脑扫描过程中无法获得降主动脉的标准血液输入函数(BIF)。从脑内血管提取的 BIF 也不准确,因此脑参数成像任务具有挑战性。本研究介绍了一种为短轴 PET 脑药代动力学参数成像量身定制的新技术,即从海绵窦获取头部 BIF(hBIF)。该方法通过数据拟合、曲线校正和 Patlak 图形模型重写,在 Patlak 模型内优化 hBIF。利用uEXPLORER PET/CT获取的67名患者的动态PET数据集建立并评估了所提出的方法,其中64个数据集用于数据拟合和模型构建,3个数据集用于方法测试;通过交叉验证,最终共有15个患者数据集用于测试模型。通过目视检查、均方根误差(RMSE)测量以及使用线性回归和Person相关系数(PCC)进行基于VOI的准确性分析,对新方法的性能进行了评估。与直接使用海绵窦 BIF 进行参数成像相比,新方法的参数分析准确度更高,包括生成的 Patlak 图更接近标准图,视觉效果更好,Ki(P = 0.0012)和 V(P = 0.0042)图像的 RMSE 值更低。基于 VOI 的分析显示,回归线的斜率更接近 1(Ki 的 P = 0.0019),截距更小(V 的 P = 0.0085)。所提出的方法能够利用海绵窦 BIF 和短轴 PET 扫描实现精确的脑药代动力学参数成像。这将有助于该成像技术在脑疾病临床诊断中的应用。
Accurate brain pharmacokinetic parametric imaging using the blood input function extracted from the cavernous sinus.
Brain pharmacokinetic parametric imaging based on dynamic positron emission tomography (PET) scan is valuable in the diagnosis of brain tumor and neurodegenerative diseases. For short-axis PET system, standard blood input function (BIF) of the descending aorta is not acquirable during the dynamic brain scan. BIF extracted from the intracerebral vascular is inaccurate, making the brain parametric imaging task challenging. This study introduces a novel technique tailored for brain pharmacokinetic parameter imaging in short-axis PET in which the head BIF (hBIF) is acquired from the cavernous sinus. The proposed method optimizes the hBIF within the Patlak model via data fitting, curve correction and Patlak graphical model rewriting. The proposed method was built and evaluated using dynamic PET datasets of 67 patients acquired by uEXPLORER PET/CT, among which 64 datasets were used for data fitting and model construction, and 3 were used for method testing; using cross-validation, a total of 15 patient datasets were finally used to test the model. The performance of the new method was evaluated via visual inspection, root-mean-square error (RMSE) measurements and VOI-based accuracy analysis using linear regression and Person's correlation coefficients (PCC). Compared to directly using the cavernous sinus BIF directly for parameter imaging, the new method achieves higher accuracy in parametric analysis, including the generation of Patlak plots closer to the standard plots, better visual effects and lower RMSE values in the Ki (P = 0.0012) and V (P = 0.0042) images. VOI-based analysis shows regression lines with slopes closer to 1 (P = 0.0019 for Ki ) and smaller intercepts (P = 0.0085 for V). The proposed method is capable of achieving accurate brain pharmacokinetic parametric imaging using cavernous sinus BIF with short-axis PET scan. This may facilitate the application of this imaging technology in the clinical diagnosis of brain diseases.
期刊介绍:
The scope of AJNMMI encompasses all areas of molecular imaging, including but not limited to: positron emission tomography (PET), single-photon emission computed tomography (SPECT), molecular magnetic resonance imaging, magnetic resonance spectroscopy, optical bioluminescence, optical fluorescence, targeted ultrasound, photoacoustic imaging, etc. AJNMMI welcomes original and review articles on both clinical investigation and preclinical research. Occasionally, special topic issues, short communications, editorials, and invited perspectives will also be published. Manuscripts, including figures and tables, must be original and not under consideration by another journal.