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F-氟脱氧葡萄糖PET/CT半定量参数在中国青海藏区肝包虫病分类中的临床价值

Clinical value of the semi-quantitative parameters of F-fluorodeoxyglucose PET/CT in the classification of hepatic echinococcosis in the Qinghai Tibetan area of China.

作者信息

Shen Zhihui, Wang Yuan, Chen Xin, Chou Sai, Wang Guanyun, Wang Yong, Xu Xiaodan, Liu Jiajin, Wang Ruimin

机构信息

Department of Nuclear Medicine, The First Medical Centre, Chinese PLA General Hospital, No. 28 Fuxing Road, Beijing, 100853, China.

Department of Pathology, The First Medical Centre, Chinese PLA General Hospital, No. 28 Fuxing Road, Beijing, 100853, China.

出版信息

BMC Med Imaging. 2024 Jul 31;24(1):194. doi: 10.1186/s12880-024-01371-9.

DOI:10.1186/s12880-024-01371-9
PMID:39085759
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11289940/
Abstract

BACKGROUND

To investigate the value of F-fluorodeoxyglucose (FDG) positron emission tomography (PET)/computed tomography (CT) semi-quantitative parameters, including the lesion diameter, maximum standardized uptake value (SUVmax), maximum standardized uptake value corrected for lean body mass (SULmax), metabolic lesion volume (MLV), and total lesion glycolysis (TLG), for classifying hepatic echinococcosis.

METHODS

In total, 20 patients with 36 hepatic echinococcosis lesions were included in the study. Overall, these lesions were categorized as hepatic cystic echinococcosis (HCE) or hepatic alveolar echinococcosis (HAE) according to the pathological results. Multiple semi-parameters including the maximum diameter, SUVmax, SULmax, MLV, and TLG were measured to classify HCE and HAE compared with the pathological results. The receiver operator characteristic curve and area under the curve (AUC) of each quantitative parameter were calculated. The Mann-Whitney U test was used to compare data between the two groups.

RESULTS

In total, 12 cystic lesions and 24 alveolar lesions were identified after surgery. There were significant differences in SUV max, SUL max, MLV, and TLG between the HAE and HCE groups (Z =  - 4.70, - 4.77, - 3.36, and - 4.23, respectively, all P < 0.05). There was no significant difference in the maximum lesion diameter between the two groups (Z =  - 0.77, P > 0.05). The best cutoffs of SUV max, SUL max, MLV, and TLG for the differential diagnosis of HAE and HCE were 2.09, 2.67, 27.12, and 18.79, respectively. The AUCs of the four parameters were 0.99, 0.99, 0.85, and 0.94, respectively. The sensitivities were 91.7%, 87.5%, 66.7%, and 85.6%, respectively, and the specificities were 90.1%, 91.7%, 83.3%, and 90.9%, respectively.

CONCLUSION

F-FDG PET/CT semi-quantitative parameters had significant clinical value in the diagnosis and pathological classification of hepatic echinococcosis and evaluation of clinical treatment.

摘要

背景

探讨氟脱氧葡萄糖(FDG)正电子发射断层扫描(PET)/计算机断层扫描(CT)的半定量参数,包括病灶直径、最大标准化摄取值(SUVmax)、去脂体重校正后的最大标准化摄取值(SULmax)、代谢病灶体积(MLV)和总病灶糖酵解(TLG)在肝包虫病分类中的价值。

方法

本研究共纳入20例患有36个肝包虫病病灶的患者。总体而言,根据病理结果将这些病灶分为肝囊性包虫病(HCE)或肝泡状包虫病(HAE)。测量包括最大直径、SUVmax、SULmax、MLV和TLG在内的多个半参数,以与病理结果比较来对HCE和HAE进行分类。计算每个定量参数的受试者操作特征曲线和曲线下面积(AUC)。采用Mann-Whitney U检验比较两组数据。

结果

术后共识别出12个囊性病灶和24个泡状病灶。HAE组和HCE组在SUVmax、SULmax、MLV和TLG方面存在显著差异(Z分别为-4.70、-4.77、-3.36和-4.23,均P<0.05)。两组间最大病灶直径无显著差异(Z=-0.77,P>0.05)。SUVmax、SULmax、MLV和TLG用于HAE与HCE鉴别诊断的最佳截断值分别为2.09、2.67、27.12和18.79。这四个参数的AUC分别为0.99、0.99、0.85和0.94。敏感性分别为91.7%、87.5%、66.7%和85.6%,特异性分别为90.1%、91.7%、83.3%和90.9%。

结论

F-FDG PET/CT半定量参数在肝包虫病的诊断、病理分类及临床治疗评估中具有重要临床价值。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/24e9/11289940/ef41eb73e439/12880_2024_1371_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/24e9/11289940/065106ca2998/12880_2024_1371_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/24e9/11289940/86210fd95858/12880_2024_1371_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/24e9/11289940/b9ff64a8571c/12880_2024_1371_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/24e9/11289940/ef41eb73e439/12880_2024_1371_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/24e9/11289940/065106ca2998/12880_2024_1371_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/24e9/11289940/86210fd95858/12880_2024_1371_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/24e9/11289940/b9ff64a8571c/12880_2024_1371_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/24e9/11289940/ef41eb73e439/12880_2024_1371_Fig4_HTML.jpg

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