| 赵翔,李锋坦,周婉惠.应用logistic拟合算法提升低采样颅脑CT灌注结果准确性的可行性研究[J].中华放射医学与防护杂志,2025,45(1):63-68.Zhao Xiang,Li Fengtan,Zhou Wanhui.Feasibility of improving the accuracy of under-sampled cerebral CT perfusion results using logistic fitting algorithm[J].Chin J Radiol Med Prot,2025,45(1):63-68 |
| 应用logistic拟合算法提升低采样颅脑CT灌注结果准确性的可行性研究 |
| Feasibility of improving the accuracy of under-sampled cerebral CT perfusion results using logistic fitting algorithm |
| 投稿时间：2024-03-12 |
| DOI：10.3760/cma.j.cn112271-20240312-00088 |
| 中文关键词: 低剂量 颅脑CT灌注 logistic模型 拟合算法 |
| 英文关键词:Low dose Cerebral CT perfusion Logistic model Fitting algorithm |
| 基金项目:天津市教委科研计划项目(2021KJ220) |
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| 中文摘要: |
| 目的 评估logistic拟合算法对低采样颅脑CT灌注(CTP)结果准确性的提升作用,探讨其对降低颅脑CTP灌注辐射剂量的应用价值。方法 对2022年3月至2023年4月天津医科大学总医院28例颅脑CTP检查患者的影像数据进行回顾性分析,在基底节区和大脑前、中、后动脉的主要供血区域圈选感兴趣区(ROI),共192个。绘制每个ROI对应的时间-密度曲线(TDC),删除常规TDC的部分数据点以降低采样频率至常规扫描的一半,模拟低剂量扫描并得到低剂量TDC,对低剂量TDC应用logistic模型拟合以补全TDC。评估辐射剂量降低的情况。分别对常规TDC、低剂量TDC以及logistic拟合算法处理后的TDC作对比并进行灌注运算,将计算出的脑血容量(CBV)、脑血流量(CBF)、对比剂达峰时间(TTP)和平均通过时间(MTT)进行对比分析。结果 颅脑CTP检查总辐射剂量可降低至原剂量的52%。应用logistic拟合算法推导出的TDC与常规TDC之间的相关系数R均值为0.958±0.03。应用logistic拟合算法算出的4项灌注结果与常规结果比较,线性回归决定系数R2分别为0.943、0.942、0.955、0.891,一致性均为极好(ICC>0.90),且均高于不应用拟合算法。结论 在低采样颅脑CTP检查中应用logistic拟合算法,能够得到与常规采样一致性较高的计算结果。通过低采样并结合Logistic算法可以在保障有效灌注结果准确性的同时降低辐射剂量,有较高的应用价值。 |
| 英文摘要: |
| Objective To evaluate the effects of the logistic fitting algorithm in improving the calculation accuracy of low-sampled cerebral CT perfusion (CTP) and to explore the application value of this algorithm in reducing irradiation doses to cerebral CTP. Methods Image data from 28 patients who underwent cerebral CTP were retrospectively analyzed. A total of 192 regions of interest (ROIs) were circled in the basal ganglia and the main blood-supplying areas of the anterior, middle, and posterior cerebral arteries. For each ROI, the time-density curve (TDC) was plotted, from which some data points were deleted to decrease the sampling frequency to half of the conventional scan, thus simulating low-dose scanning and obtaining low-dose TDCs. The logistic model was applied to fit and complete the low-dose TDCs. The potential decrease in radiation dose was assessed. Conventional TDCs, low-dose TDCs, and TDCs processed using the logistic fitting algorithm were compared. Perfusion calculations were performed based on these TDCs, and the calculated cerebral blood volume (CBV), cerebral blood flow (CBF), time to peak (TTP), and mean transit time (MTT) were compared and analyzed. Results The total radiation dose for cerebral CTP examination could be reduced to 52% of the routine dose. The mean correlation coefficient R between the TDCs derived using the logistic fitting algorithm and the conventional TDCs was 0.958 ±0.03. The CBV, CBF, TTP, and MTT calculated using the logistic fitting algorithm were compared with the conventional result, and the coefficients of determination R2 of linear regressions were determined at 0.943, 0.942, 0.955, and 0.891, respectively, indicating extremely high consistency(ICC > 0.90). Furthermore, the R2 values determined using the logistic fitting algorithm were all higher than those derived without applying the fitting algorithm. Conclusions Applying the logistic fitting algorithm to under-sampled cerebral CTP can yield calculation result that are highly consistent with those of conventional sampling. By combining under-sampling with the logistic algorithm, the irradiation doses can be reduced while guaranteeing the accuracy of the effective perfusion result, demonstrating high application value. |
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