| Hu Yunlong,Peng Wanlin,Liu Keling,et al.The feasibility study on the clinical application of CTP combined with deep learning image reconstruction algorithm in coronary artery disease[J].Chinese Journal of Radiological Medicine and Protection,2026,46(5):452-457 |
| The feasibility study on the clinical application of CTP combined with deep learning image reconstruction algorithm in coronary artery disease |
| Received:August 26, 2025 |
| DOI：10.3760/cma.j.cn112271-20250826-00311 |
| KeyWords:Computed tomography Myocardial perfusion Coronary artery disease Deep Learning |
| FundProject:国家自然科学基金(82371927);四川大学华西医院学科卓越发展1·3·5工程项目(ZYGD23024) |
| Author Name | Affiliation | E-mail | | Hu Yunlong | Department of Radiology, West China Hospital, Sichuan University, Chengdu 610041, China | | | Peng Wanlin | Department of Radiology, West China Hospital, Sichuan University, Chengdu 610041, China | | | Liu Keling | Department of Radiology, West China Hospital, Sichuan University, Chengdu 610041, China | | | Xu Xu | Department of Radiology, West China Hospital, Sichuan University, Chengdu 610041, China | | | Liu Xinyu | Department of Radiology, West China Hospital, Sichuan University, Chengdu 610041, China | | | Sun Ruolan | Department of Radiology, West China Hospital, Sichuan University, Chengdu 610041, China | | | Qin Meng | Department of Radiology, West China Hospital, Sichuan University, Chengdu 610041, China | | | Li Zhenlin | Department of Radiology, West China Hospital, Sichuan University, Chengdu 610041, China | | | Xia Chunchao | Department of Radiology, West China Hospital, Sichuan University, Chengdu 610041, China | xiachunchao@wchscu.cn |
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| Abstract:: |
| Objective To investigate the image quality and clinical value of the 70 kV myocardial computed tomography perfusion (CTP) combined with deep learning image reconstruction (DLIR) algorithm for patients with coronary artery disease (CAD). Methods Totally 50 consecutive patients with suspected CAD were enrolled for low-dose CTP using 70 kV and 200mA. The radiation dose was recorded. According to the degree of coronary artery stenosis, the patients were divided into the control group (n=13), the non-significant stenosis group (n=18) and the significant stenosis group (n=19) All CTP images were reconstructed using both filtered backprojection (FBP) and high-level DLIR algorithm. The image quality of the two groups was evaluated subjectively and objectively.The subjective quality was scored using a 4-point scale. And objective evaluations included image noise, signal-to-noise ratio (SNR), and contrast-to-noise ratio (CNR). The mean myocardial blood flow (MBF) and MBF of each myocardial segment of the patients were analyzed using one-way ANOVA. Results Compared with the CTP images reconstructed by the traditional FBP algorithm (51.2±3.6), those reconstructed by the DLIR algorithm (37.5±3.4) was significantly reduced(t=31.41, P<0.001). The SNR and CNR of the DLIR group increased correspondingly (t=-9.74, -8.01, P<0.001). There was no statistically difference in the average MBF of myocardial segments measured by the traditional FBP and DLIR algorithm. The average MBF of the control group, non-significant stenosis group and significant stenosis group were (137.72±4.26), (132.67±4.98) and (120.02±8.47) ml·100 ml -1·min-1, showed a statistically significant difference (F=33.61, P<0.001). Similarly, the MBF decreased among territories supplied by coronary arteries with higher stenosis (F=74.21, P<0.001). Conclusions 70 kV CTP combined with DLIR algorithm can improve image quality without affecting on MBF calculation. This approach effectively assesses the hemodynamic status of CAD patients and demonstrates high clinical application value. |
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