王旭,许莎莎,王卓,杜晓光,韩星敏.18F-FDG PET/CT贝叶斯正则化似然重建算法对肿瘤定量参数的影响[J].中国医学影像技术,2021,37(11):1720~1724
18F-FDG PET/CT贝叶斯正则化似然重建算法对肿瘤定量参数的影响
Impact of Bayesian penalized likelihood reconstruction algorithm on 18F-FDG PET/CT tumor quantitative parameters
投稿时间:2020-12-04  修订日期:2021-08-10
DOI:10.13929/j.issn.1003-3289.2021.11.030
中文关键词:  肿瘤  正电子发射断层显像  体层摄影术,X线计算机  18F氟脱氧葡萄糖
英文关键词:neoplasms  positron-emission tomography  tomography, X-ray computed  fluorodeoxyglucose F18
基金项目:河南省高等学校重点科研项目(20B320040、19B320019)。
作者单位E-mail
王旭 郑州大学第一附属医院核医学科 河南省分子影像医学重点实验室, 河南 郑州 450052  
许莎莎 郑州大学第一附属医院核医学科 河南省分子影像医学重点实验室, 河南 郑州 450052  
王卓 郑州大学第一附属医院核医学科 河南省分子影像医学重点实验室, 河南 郑州 450052  
杜晓光 郑州大学第一附属医院核医学科 河南省分子影像医学重点实验室, 河南 郑州 450052  
韩星敏 郑州大学第一附属医院核医学科 河南省分子影像医学重点实验室, 河南 郑州 450052 xmhan@zzu.edu.cn 
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中文摘要:
      目的 观察贝叶斯正则化似然(BPL)重建算法对恶性肿瘤病灶18F-FDG PET/CT定量参数的影响。方法 纳入80例恶性肿瘤患者(206个病灶),采用飞行时间(TOF)+点扩散函数(PSF)+BPL(BPL组)和TOF+PSF(非BPL组)算法重建PET/CT图像,比较组间病灶最大标准摄取值(SUVmax)、平均标准摄取值(SUVmean)、信号/本底比值(SBR)及肿瘤代谢体积(MTV);根据直径将病灶分为<10 mm组(n=84)及≥ 10 mm组(n=122),比较组间定量参数差值。结果 BPL组病灶SUVmax、SUVmean及SBR均明显高于非BPL组(P均<0.05),而MTV明显低于非BPL组(P<0.05)。直径<10 mm组病灶SUVmax、SUVmean及SBR差值均明显大于≥ 10 mm组(P均<0.05)。结论 采用BPL算法得出的肿瘤标准摄取值(SUV)高于其他算法,尤其对于直径<10 mm病灶;基于BPL算法重建图像鉴别诊断良、恶性肿瘤时,应上调SUV阈值。
英文摘要:
      Objective To observe the impact of Bayesian penalized likelihood (BPL) reconstruction algorithm on 18F-FDG PET/CT quantitative parameters of malignant tumors. Methods Eighty patients with 206 lesions of malignant tumors were enrolled. Time of flight (TOF)+point spread function (PSF)+BPL were performed in BPL group, TOF+PSF were performed in non-BPL group to reconstruct PET/CT images. The maximum standard uptake value (SUVmax), the mean standard uptake value (SUVmean), signal background ratio (SBR) and metabolic tumor volume (MTV) of the lesions were compared between groups. Then the lesions were divided into <10 mm group (n=84) and ≥ 10 mm group (n=122) according to the diameters, and the quantitative parameter differences were compared between groups. Results The SUVmax, SUVmean and SBR of lesions in BPL group were all significantly higher than those in non-BPL group (all P<0.05), but MTV of lesions in BPL group was significantly lower than that in non-BPL group (P<0.05). The differences of SUVmax, SUVmean and SBR in <10 mm group were significantly greater than those in ≥ 10 mm group (all P<0.05). Conclusion Tumor standard uptake value calculated using BPL algorithm might be higher than that using other algorithms, especially for lesions <10 mm. The threshold should of SUV based on BPL algorithm should be raised for differential diagnosis of benign and malignant tumors.
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