Tommaso Volpi, Jean-Dominique Gallezot, Shannan Henry, Mark Dias, Nikkita Khattar, Takuya Toyonaga, Kathryn Fontaine, Tim Mulnix, Jiazhen Zhang, Liang Guo, Paul Gravel, Rajiv Radhakrishnan, Ansel T. Hillmer, David Matuskey, Richard E. Carson
{"title":"NeuroEXPLORER上颈动脉图像衍生的血液时间-活动曲线:针对动脉采样的初始多示踪剂验证","authors":"Tommaso Volpi, Jean-Dominique Gallezot, Shannan Henry, Mark Dias, Nikkita Khattar, Takuya Toyonaga, Kathryn Fontaine, Tim Mulnix, Jiazhen Zhang, Liang Guo, Paul Gravel, Rajiv Radhakrishnan, Ansel T. Hillmer, David Matuskey, Richard E. Carson","doi":"10.2967/jnumed.125.270414","DOIUrl":null,"url":null,"abstract":"<p>Image-derived input functions are noninvasive alternatives to arterial blood sampling for PET kinetic modeling, allowing one to measure the whole-blood time–activity curve (BTAC). However, partial-volume effects have limited the use of carotid arteries (CA) to generate image-derived BTACs (ID-BTAC) for brain PET. The NeuroEXPLORER is a next-generation scanner with unprecedented spatial resolution, possibly allowing better CA ID-BTAC extraction. <strong>Methods:</strong> Twelve individuals were scanned on the NeuroEXPLORER with 5 tracers (<sup>18</sup>F-FDG, <sup>18</sup>F-SynVesT-1, <sup>18</sup>F-flubatine, <sup>11</sup>C-LSN3172176, and <sup>11</sup>C-PHNO), and arterial input functions were measured from blood samples. Common carotid (CC) and internal carotid (IC) regions-of-interest (ROIs) were manually segmented on early summed images. ROI diameters were dilated around the CA centerline to evaluate the partial-volume effects. Bias in ID-BTAC area under the curve (AUC) against BTAC was calculated to estimate the ability to recover the gold standard at early (0–10 min) and late times (>10 min). Using ID-BTACs (1-mm ROI diameter), kinetic estimates were generated (<em>K</em><sub>1</sub><em>, K</em><sub>i</sub>, and <em>V</em><sub>T</sub>), and their bias against arterial input function–based estimates was evaluated. <strong>Results:</strong> For 1–2-mm ROI diameters, early AUC recovery was good (bias: CC, −8% ± 5%; IC, −3 ± 7%). The late AUC was accurately recovered for <sup>18</sup>F-FDG (CC, −9%; IC, −5%), <sup>11</sup>C-PHNO (CC, 7%; IC, 4%), and <sup>18</sup>F-SynVesT-1 (CC, −9%; IC, −13%) but not for <sup>18</sup>F-flubatine (CC, 18%; IC, 45%) and <sup>11</sup>C-LSN3172176 (CC, 46%; IC, 100%); this poorer agreement corresponded to higher late-time brain-to-blood/face-to-blood activity ratios. The IC outperformed the CC in most cases. ID-BTAC biases translated into small <em>K</em><sub>1</sub> errors (CC, 5% ± 10%; IC, 3 ± 14%) and larger <em>K</em><sub>i</sub> and <em>V</em><sub>T</sub> errors (CC, −3% ± 20%; IC, −12 ± 25%). <strong>Conclusion:</strong> A simple ID-BTAC extraction approach provided accurate recovery of the early BTAC for all tracers, minimizing spill-out. Late BTAC recovery was more variable, especially with higher background activity. These results highlight how CA ID-BTAC extraction with minimal bias is feasible with ultra-high-resolution brain-dedicated PET scanners.</p>","PeriodicalId":22820,"journal":{"name":"The Journal of Nuclear Medicine","volume":"4 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2025-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Carotid Artery Image-Derived Blood Time–Activity Curves on the NeuroEXPLORER: Initial Multitracer Validation Against Arterial Sampling\",\"authors\":\"Tommaso Volpi, Jean-Dominique Gallezot, Shannan Henry, Mark Dias, Nikkita Khattar, Takuya Toyonaga, Kathryn Fontaine, Tim Mulnix, Jiazhen Zhang, Liang Guo, Paul Gravel, Rajiv Radhakrishnan, Ansel T. Hillmer, David Matuskey, Richard E. Carson\",\"doi\":\"10.2967/jnumed.125.270414\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>Image-derived input functions are noninvasive alternatives to arterial blood sampling for PET kinetic modeling, allowing one to measure the whole-blood time–activity curve (BTAC). However, partial-volume effects have limited the use of carotid arteries (CA) to generate image-derived BTACs (ID-BTAC) for brain PET. The NeuroEXPLORER is a next-generation scanner with unprecedented spatial resolution, possibly allowing better CA ID-BTAC extraction. <strong>Methods:</strong> Twelve individuals were scanned on the NeuroEXPLORER with 5 tracers (<sup>18</sup>F-FDG, <sup>18</sup>F-SynVesT-1, <sup>18</sup>F-flubatine, <sup>11</sup>C-LSN3172176, and <sup>11</sup>C-PHNO), and arterial input functions were measured from blood samples. Common carotid (CC) and internal carotid (IC) regions-of-interest (ROIs) were manually segmented on early summed images. ROI diameters were dilated around the CA centerline to evaluate the partial-volume effects. Bias in ID-BTAC area under the curve (AUC) against BTAC was calculated to estimate the ability to recover the gold standard at early (0–10 min) and late times (>10 min). Using ID-BTACs (1-mm ROI diameter), kinetic estimates were generated (<em>K</em><sub>1</sub><em>, K</em><sub>i</sub>, and <em>V</em><sub>T</sub>), and their bias against arterial input function–based estimates was evaluated. <strong>Results:</strong> For 1–2-mm ROI diameters, early AUC recovery was good (bias: CC, −8% ± 5%; IC, −3 ± 7%). The late AUC was accurately recovered for <sup>18</sup>F-FDG (CC, −9%; IC, −5%), <sup>11</sup>C-PHNO (CC, 7%; IC, 4%), and <sup>18</sup>F-SynVesT-1 (CC, −9%; IC, −13%) but not for <sup>18</sup>F-flubatine (CC, 18%; IC, 45%) and <sup>11</sup>C-LSN3172176 (CC, 46%; IC, 100%); this poorer agreement corresponded to higher late-time brain-to-blood/face-to-blood activity ratios. The IC outperformed the CC in most cases. ID-BTAC biases translated into small <em>K</em><sub>1</sub> errors (CC, 5% ± 10%; IC, 3 ± 14%) and larger <em>K</em><sub>i</sub> and <em>V</em><sub>T</sub> errors (CC, −3% ± 20%; IC, −12 ± 25%). <strong>Conclusion:</strong> A simple ID-BTAC extraction approach provided accurate recovery of the early BTAC for all tracers, minimizing spill-out. Late BTAC recovery was more variable, especially with higher background activity. These results highlight how CA ID-BTAC extraction with minimal bias is feasible with ultra-high-resolution brain-dedicated PET scanners.</p>\",\"PeriodicalId\":22820,\"journal\":{\"name\":\"The Journal of Nuclear Medicine\",\"volume\":\"4 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2025-10-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"The Journal of Nuclear Medicine\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2967/jnumed.125.270414\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"The Journal of Nuclear Medicine","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2967/jnumed.125.270414","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Carotid Artery Image-Derived Blood Time–Activity Curves on the NeuroEXPLORER: Initial Multitracer Validation Against Arterial Sampling
Image-derived input functions are noninvasive alternatives to arterial blood sampling for PET kinetic modeling, allowing one to measure the whole-blood time–activity curve (BTAC). However, partial-volume effects have limited the use of carotid arteries (CA) to generate image-derived BTACs (ID-BTAC) for brain PET. The NeuroEXPLORER is a next-generation scanner with unprecedented spatial resolution, possibly allowing better CA ID-BTAC extraction. Methods: Twelve individuals were scanned on the NeuroEXPLORER with 5 tracers (18F-FDG, 18F-SynVesT-1, 18F-flubatine, 11C-LSN3172176, and 11C-PHNO), and arterial input functions were measured from blood samples. Common carotid (CC) and internal carotid (IC) regions-of-interest (ROIs) were manually segmented on early summed images. ROI diameters were dilated around the CA centerline to evaluate the partial-volume effects. Bias in ID-BTAC area under the curve (AUC) against BTAC was calculated to estimate the ability to recover the gold standard at early (0–10 min) and late times (>10 min). Using ID-BTACs (1-mm ROI diameter), kinetic estimates were generated (K1, Ki, and VT), and their bias against arterial input function–based estimates was evaluated. Results: For 1–2-mm ROI diameters, early AUC recovery was good (bias: CC, −8% ± 5%; IC, −3 ± 7%). The late AUC was accurately recovered for 18F-FDG (CC, −9%; IC, −5%), 11C-PHNO (CC, 7%; IC, 4%), and 18F-SynVesT-1 (CC, −9%; IC, −13%) but not for 18F-flubatine (CC, 18%; IC, 45%) and 11C-LSN3172176 (CC, 46%; IC, 100%); this poorer agreement corresponded to higher late-time brain-to-blood/face-to-blood activity ratios. The IC outperformed the CC in most cases. ID-BTAC biases translated into small K1 errors (CC, 5% ± 10%; IC, 3 ± 14%) and larger Ki and VT errors (CC, −3% ± 20%; IC, −12 ± 25%). Conclusion: A simple ID-BTAC extraction approach provided accurate recovery of the early BTAC for all tracers, minimizing spill-out. Late BTAC recovery was more variable, especially with higher background activity. These results highlight how CA ID-BTAC extraction with minimal bias is feasible with ultra-high-resolution brain-dedicated PET scanners.