| 白洁,李笑然,卢洁.一体化18F-FET PET/MR联合动脉自旋标记预测脑胶质瘤异柠檬酸脱氢酶(IDH)基因型及Ki-67指数[J].中国医学影像技术,2024,40(10):1476~1480 |
| 一体化18F-FET PET/MR联合动脉自旋标记预测脑胶质瘤异柠檬酸脱氢酶(IDH)基因型及Ki-67指数 |
| Integrated 18F-FET PET/MR combined with arterial spin labeling for predicting isocitrate dehydrogenase (IDH) genotype and Ki-67 index of glioma |
| 投稿时间：2024-07-03 修订日期：2024-09-04 |
| DOI：10.13929/j.issn.1003-3289.2024.10.005 |
| 中文关键词: 胶质瘤 动脉自旋标记 正电子发射断层显像 磁共振成像 异柠檬酸脱氢酶 Ki-67抗原 |
| 英文关键词:glioma arterial spin labeling positron-emission tomography magnetic resonance imaging isocitrate dehydrogenase Ki-67 antigen |
| 基金项目:国家重点研发计划(2022YFC2406900)。 |
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| 中文摘要: |
| 目的 观察一体化18F-FET PET/MR联合动脉自旋标记(ASL)预测脑胶质瘤异柠檬酸脱氢酶(IDH)基因型及Ki-67指数的价值。方法 回顾性分析80例脑胶质瘤,根据IDH基因型将其分为突变组(n=31)及野生组(n=49),并根据Ki-67指数分为高指数组(＞10%,n=57)与低指数组(≤10%,n=23)。以一体化18F-FET PET/MR同步获取PET图、MR结构像及ASL图,基于肿瘤感兴趣容积计算最大及平均肿瘤靶区本底比值(TBRmax、TBRmean)、最大及平均标准化脑血流量(nCBFmax、nCBFmean)并进行组间比较。绘制受试者工作特征曲线,计算曲线下面积(AUC),评估PET/MR参数、ASL参数、最优PET/MR+最优ASL(双模态)参数、临床+双模态(联合)参数预测脑胶质瘤IDH基因型及Ki-67指数的效能。结果 突变组患者年龄、高WHO分级占比、TBRmax、TBRmean、nCBFmax及nCBFmean均低于野生组(P均＜0.01)。高指数组患者年龄、高WHO分级占比、TBRmax、TBRmean及nCBFmax均高于低指数组(P均＜0.01)。TBRmax、TBRmean、nCBFmax、nCBFmean、双模态参数(TBRmax+nCBFmax)及联合参数(年龄+TBRmax+nCBFmax)预测脑胶质瘤IDH基因型的AUC分别为0.758、0.702、0.773、0.708、0.816及0.866。TBRmax、TBRmean、nCBFmax、双模态参数(TBRmax+nCBFmax)及联合参数(年龄+TBRmax+nCBFmax)预测脑胶质瘤Ki-67指数的AUC分别为0.823、0.719、0.701、0.823及0.854。结论 一体化18F-FET PET/MR联合ASL可有效预测脑胶质瘤IDH基因型及Ki-67指数。 |
| 英文摘要: |
| Objective To observe the value of integrated 18F-FET PET/MR combined with arterial spin labeling (ASL) for predicting isocitrate dehydrogenase (IDH) genotype and Ki-67 index of glioma. Methods Eighty patients with glioma were retrospectively enrolled. The patients were divided into mutant group (n=31) and wild group (n=49) according to IDH genotype, or into high index group (＞10%, n=57) and low index group (≤10%, n=23) according to Ki-67 index. Integrated 18F-FET PET/MR was performed to obtain PET, structural MR and ASL images, simultaneously. The maximum and mean target-to-background ratio (TBRmax, TBRmean), the maximum and mean normalized cerebral blood flow (nCBFmax, nCBFmean) were calculated based on tumor's volume of interest (VOI) and were compared between groups. Receiver operating characteristic curve was drawn, the area under the curve (AUC) was calculated to evaluate the efficacy of PET/MR parameters, ASL parameters, optimal PET/MR+optimal ASL parameters (dual-mode parameters), as well as clinical+dual-mode parameters (combined parameters) for predicting IDH genotype and Ki-67 index of glioma. Results Patients' age, proportion of high WHO grade, TBRmax, TBRmean, nCBFmax and nCBFmean in mutant group were all lower than those in wild group (all P＜0.01). Patients' age, proportion of high WHO grade, TBRmax, TBRmean and nCBFmax in high index group were all higher than those in low index group (all P＜0.01). AUC of TBRmax, TBRmean, nCBFmax, nCBFmean, dual-mode parameters (TBRmax+nCBFmax) and combined parameters (age+TBRmax+nCBFmax) for predicting IDH genotype of glioma was 0.758, 0.702, 0.773, 0.708, 0.816 and 0.866, respectively. AUC of TBRmax, TBRmean, nCBFmax, dual-mode parameters (TBRmax+nCBFmax), combined parameters (age+TBRmax+nCBFmax) for predicting Ki-67 index of glioma was 0.823, 0.719, 0.701, 0.823 and 0.854, respectively. Conclusion Integrated 18F-FET PET/MR combined with ASL could predict IDH genotype and Ki-67 index of gliomas effectively. |
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