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高级建模迭代重建技术在肝癌患者CT随访检查中的应用观察 被引量:2

Application of advanced modeling and iterative reconstruction technology in CT follow-up examination of patients with liver cancer
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摘要 目的探讨FORCE CT高级建模迭代重建(ADMIRE)技术在肝癌患者CT随访检查中的应用价值。方法临床确诊肝癌患者80例,行FORCE CT肝脏平扫及三期扫描后,对其动脉期图像分别应用常规FBP重建和ADMIRE-3级重建,比较两组图像质量的主观评分、客观评价指标(平均CT值、噪声、SNR、CNR)及诊断效能。结果与常规FBP重建比较,ADMIRE-3级重建图像主观评分存在统计学差异(P<0.05),ADMIRE-3重建图像高于FBP重建图像;对于客观评价指标的比较,所显示肝实质平均CT值无统计学差异(P>0.05),而噪声、SNR、CNR均存在统计学差异(P<0.05);两种重建图像对病变的诊断效能差异无统计学意义(P>0.05)。结论高级建模迭代重建技术在肝癌患者CT随访检查中能有效降低图像噪声及提高图像质量,具有潜在降低扫描剂量的作用,值得临床推广应用。 Objective To explore the application value of FORCE CT advanced modeling and iterative reconstruction technology in follow-up CT examination of patients with liver cancer.Methods Eighty patients with liver cancer were diagnosed clinically.After FORCE CT liver plain scan and three-phase scan,the arterial phase images were reconstructed by conventional FBP and ADMIRE-3 reconstruction respectively.The subjective scores and objective evaluation indexes of the two groups'image quality were compared(Average CT value,Noise,SNR,CNR)and diagnostic performance.Results Compared with conventional FBP reconstruction,the subjective scores of ADMIRE-3 reconstructed images there were statistical significantly differences(P<0.05),ADMIRE-3 reconstructed images were higher than FBP reconstructed images.For the comparison of objective evaluation indicators,the average CT value of liver parenchyma was shown there were no statistical significantly differences(P>0.05).The noise,SNR,CNR there were all statistical significantly differences(P<0.05).For the comparison of diagnostic efficiency,the two reconstructed images there were no statistical significantly differences in the diagnosis of lesions(P>0.05).Conclusion Advanced modeling and iterative reconstruction technology can effectively reduce image noise and improve image quality in CT follow-up examinations of patients with liver cancer.It has the potential to reduce scan dose and is worthy of clinical application.
作者 刘莉 王谦 何玺 曾宪春 王楠竹 Liu Li;Wang Qian;He Xi;Zeng Xianchun;Wang Nanzhu(Department of Radiology,Guizhou Provincial People’s Hospital,Guiyang 550002,Guizhou,China.)
出处 《贵州医药》 CAS 2022年第11期1683-1684,1687,共3页 Guizhou Medical Journal
基金 贵州省科学技术基金[黔科合基础(2017)1109] 贵州省民族医药科学技术研究课题(QZYY-2020-18) 贵州省高层次创新型人才培养计划[QZSYQCC(2015)001]。
关键词 高级建模迭代重建 肝癌 图像质量 随访检查 Advanced modeling iterative reconstruction Liver cancer Image quality Follow-up inspection
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