{"title":"流出道对82Rb-PET全局心肌血流量计算的影响","authors":"A. Van Tosh, N. Reichek, C. Palestro, K. Nichols","doi":"10.2967/jnmt.116.173005","DOIUrl":null,"url":null,"abstract":"Algorithms are able to compute myocardial blood flow (MBF) from dynamic PET data for each of the 17 left ventricular segments, with global MBF obtained by averaging segmental values. This study was undertaken to compare MBFs with and without the basal–septal segments. Methods: Data were examined retrospectively for 196 patients who underwent rest and regadenoson-stress 82Rb PET/CT scanning for evaluation of known or suspected coronary artery disease. MBF data were acquired in gated list mode and rebinned to isolate the first-pass dynamic portion. Coronary vascular resistance (CVR) was computed as mean arterial pressure divided by MBF. MBF inhomogeneity was computed as the ratio of SD to mean MBF. Relative perfusion scores were obtained using 82Rb-specific normal limits applied to polar maps of myocardial perfusion generated from myocardial equilibrium portions of PET data. MBF and CVRs from 17 and 14 segments were compared. Results: Mean MBFs were lower for 17- than 14-segment means for rest (0.78 ± 0.50 vs. 0.85 ± 0.54 mL/g/min, paired t test P < 0.0001) and stress (1.50 ± 0.88 vs. 1.67 ± 0.96 mL/g/min, P < 0.0001). Bland–Altman plots of MBF differences versus means exhibited nonzero intercept (−0.04 ± 0.01, P = 0.0004) and significant correlation (r = −0.64, P < 0.0001), with slopes significantly different from 0.0 (−7.2% ± 0.6% and −8.3% ± 0.7% for rest and stress MBF; P < 0.0001). Seventeen-segment CVRs were higher than 14-segment CVRs for rest (159 ± 86 vs. 147 ± 81 mm Hg/mL/g/min, paired t test P < 0.0001) and stress CVR (85 ± 52 vs. 76 ± 48 mm Hg/mL/g/min, P < 0.0001). MBF inhomogeneity correlated significantly (P < 0.0001) with summed perfusion scores, but values correlated significantly more strongly for 14- than 17-segment values for rest (r = 0.67 vs. r = 0.52, P = 0.02) and stress (r = 0.69 vs. r = 0.47, P = 0.001). When basal segments were included in MBF determinations, perfusion inhomogeneity was greater both for rest (39% ± 10% vs. 31% ± 10%, P < 0.0001) and for stress (42% ± 12% vs. 32% ± 11%, P < 0.0001). Conclusion: Averaging 17 versus 14 segments leads to systematically 7%–8% lower MBF calculations, higher CVRs, and greater computed inhomogeneity. Consideration should be given to excluding basal–septal segments from standard global MBF determination.","PeriodicalId":22799,"journal":{"name":"The Journal of Nuclear Medicine Technology","volume":"32 1","pages":"78 - 84"},"PeriodicalIF":0.0000,"publicationDate":"2016-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Effect of Outflow Tract Contributions to 82Rb-PET Global Myocardial Blood Flow Computations\",\"authors\":\"A. Van Tosh, N. Reichek, C. Palestro, K. Nichols\",\"doi\":\"10.2967/jnmt.116.173005\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Algorithms are able to compute myocardial blood flow (MBF) from dynamic PET data for each of the 17 left ventricular segments, with global MBF obtained by averaging segmental values. This study was undertaken to compare MBFs with and without the basal–septal segments. Methods: Data were examined retrospectively for 196 patients who underwent rest and regadenoson-stress 82Rb PET/CT scanning for evaluation of known or suspected coronary artery disease. MBF data were acquired in gated list mode and rebinned to isolate the first-pass dynamic portion. Coronary vascular resistance (CVR) was computed as mean arterial pressure divided by MBF. MBF inhomogeneity was computed as the ratio of SD to mean MBF. Relative perfusion scores were obtained using 82Rb-specific normal limits applied to polar maps of myocardial perfusion generated from myocardial equilibrium portions of PET data. MBF and CVRs from 17 and 14 segments were compared. Results: Mean MBFs were lower for 17- than 14-segment means for rest (0.78 ± 0.50 vs. 0.85 ± 0.54 mL/g/min, paired t test P < 0.0001) and stress (1.50 ± 0.88 vs. 1.67 ± 0.96 mL/g/min, P < 0.0001). Bland–Altman plots of MBF differences versus means exhibited nonzero intercept (−0.04 ± 0.01, P = 0.0004) and significant correlation (r = −0.64, P < 0.0001), with slopes significantly different from 0.0 (−7.2% ± 0.6% and −8.3% ± 0.7% for rest and stress MBF; P < 0.0001). Seventeen-segment CVRs were higher than 14-segment CVRs for rest (159 ± 86 vs. 147 ± 81 mm Hg/mL/g/min, paired t test P < 0.0001) and stress CVR (85 ± 52 vs. 76 ± 48 mm Hg/mL/g/min, P < 0.0001). MBF inhomogeneity correlated significantly (P < 0.0001) with summed perfusion scores, but values correlated significantly more strongly for 14- than 17-segment values for rest (r = 0.67 vs. r = 0.52, P = 0.02) and stress (r = 0.69 vs. r = 0.47, P = 0.001). When basal segments were included in MBF determinations, perfusion inhomogeneity was greater both for rest (39% ± 10% vs. 31% ± 10%, P < 0.0001) and for stress (42% ± 12% vs. 32% ± 11%, P < 0.0001). Conclusion: Averaging 17 versus 14 segments leads to systematically 7%–8% lower MBF calculations, higher CVRs, and greater computed inhomogeneity. Consideration should be given to excluding basal–septal segments from standard global MBF determination.\",\"PeriodicalId\":22799,\"journal\":{\"name\":\"The Journal of Nuclear Medicine Technology\",\"volume\":\"32 1\",\"pages\":\"78 - 84\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"The Journal of Nuclear Medicine Technology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2967/jnmt.116.173005\",\"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 Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2967/jnmt.116.173005","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
摘要
算法能够从17个左心室节段的动态PET数据中计算心肌血流量(MBF),并通过平均节段值获得全局MBF。本研究是为了比较有基底-间隔段和没有基底-间隔段的mbf。方法:回顾性分析196例接受休息和再腺苷酸应激82Rb PET/CT扫描以评估已知或疑似冠状动脉疾病的患者的资料。MBF数据以门控列表模式获取,并重新排序以隔离第一次通过的动态部分。冠状动脉阻力(CVR)计算为平均动脉压除以MBF。MBF不均匀性计算为SD与平均MBF的比值。相对灌注评分采用82rb特异性正常限,应用于由PET数据的心肌平衡部分生成的心肌灌注极坐标图。比较17和14节段的MBF和cvr。结果:17段平均MBFs低于14段平均休息(0.78±0.50比0.85±0.54 mL/g/min,配对t检验P < 0.0001)和应激(1.50±0.88比1.67±0.96 mL/g/min, P < 0.0001)。MBF与均值差异的Bland-Altman图显示出非零截距(- 0.04±0.01,P = 0.0004)和显著相关性(r = - 0.64, P < 0.0001),其中休息和应激MBF的斜率显著不同于0.0(- 7.2%±0.6%和- 8.3%±0.7%);P < 0.0001)。17段CVR在休息时(159±86比147±81 mm Hg/mL/g/min,配对t检验P < 0.0001)和应激时(85±52比76±48 mm Hg/mL/g/min, P < 0.0001)均高于14段CVR。MBF不均匀性与总灌注评分显著相关(P < 0.0001),但休息(r = 0.67 vs. r = 0.52, P = 0.02)和应激(r = 0.69 vs. r = 0.47, P = 0.001)时14节段值的相关性明显强于17节段值。当基底节段被纳入MBF测定时,休息时(39%±10% vs 31%±10%,P < 0.0001)和应激时(42%±12% vs 32%±11%,P < 0.0001)的灌注不均匀性都更大。结论:平均17节段与平均14节段相比,MBF计算降低7%-8%,cvr更高,计算不均匀性更大。应考虑将基底-间隔段排除在标准的全球MBF测定之外。
Effect of Outflow Tract Contributions to 82Rb-PET Global Myocardial Blood Flow Computations
Algorithms are able to compute myocardial blood flow (MBF) from dynamic PET data for each of the 17 left ventricular segments, with global MBF obtained by averaging segmental values. This study was undertaken to compare MBFs with and without the basal–septal segments. Methods: Data were examined retrospectively for 196 patients who underwent rest and regadenoson-stress 82Rb PET/CT scanning for evaluation of known or suspected coronary artery disease. MBF data were acquired in gated list mode and rebinned to isolate the first-pass dynamic portion. Coronary vascular resistance (CVR) was computed as mean arterial pressure divided by MBF. MBF inhomogeneity was computed as the ratio of SD to mean MBF. Relative perfusion scores were obtained using 82Rb-specific normal limits applied to polar maps of myocardial perfusion generated from myocardial equilibrium portions of PET data. MBF and CVRs from 17 and 14 segments were compared. Results: Mean MBFs were lower for 17- than 14-segment means for rest (0.78 ± 0.50 vs. 0.85 ± 0.54 mL/g/min, paired t test P < 0.0001) and stress (1.50 ± 0.88 vs. 1.67 ± 0.96 mL/g/min, P < 0.0001). Bland–Altman plots of MBF differences versus means exhibited nonzero intercept (−0.04 ± 0.01, P = 0.0004) and significant correlation (r = −0.64, P < 0.0001), with slopes significantly different from 0.0 (−7.2% ± 0.6% and −8.3% ± 0.7% for rest and stress MBF; P < 0.0001). Seventeen-segment CVRs were higher than 14-segment CVRs for rest (159 ± 86 vs. 147 ± 81 mm Hg/mL/g/min, paired t test P < 0.0001) and stress CVR (85 ± 52 vs. 76 ± 48 mm Hg/mL/g/min, P < 0.0001). MBF inhomogeneity correlated significantly (P < 0.0001) with summed perfusion scores, but values correlated significantly more strongly for 14- than 17-segment values for rest (r = 0.67 vs. r = 0.52, P = 0.02) and stress (r = 0.69 vs. r = 0.47, P = 0.001). When basal segments were included in MBF determinations, perfusion inhomogeneity was greater both for rest (39% ± 10% vs. 31% ± 10%, P < 0.0001) and for stress (42% ± 12% vs. 32% ± 11%, P < 0.0001). Conclusion: Averaging 17 versus 14 segments leads to systematically 7%–8% lower MBF calculations, higher CVRs, and greater computed inhomogeneity. Consideration should be given to excluding basal–septal segments from standard global MBF determination.