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一项关于光谱CT鉴别肝脏局灶性病变的系统评价和荟萃分析。

A systematic review and meta-analysis of spectral CT to differentiate focal liver lesions.

作者信息

Bhandari A, Koppen J, Wastney T, Hacking C

机构信息

School of Medicine and Dentistry, James Cook University, Townsville, QLD, Australia; Townsville University Hospital, 100 Angus Smith Drive, Douglas, Townsville, QLD, Australia.

Townsville University Hospital, 100 Angus Smith Drive, Douglas, Townsville, QLD, Australia.

出版信息

Clin Radiol. 2023 Jun;78(6):430-436. doi: 10.1016/j.crad.2023.02.017. Epub 2023 Mar 11.

DOI:10.1016/j.crad.2023.02.017
PMID:37019736
Abstract

AIM

To determine the feasibility of spectral computed tomography (CT) in the differentiation of focal liver lesions from hepatocellular carcinoma (HCC) using a network meta-analysis (NMA).

MATERIALS AND METHODS

The review was completed in accordance with PRISMA guidelines. Searches of three medical databases were performed. A total of nine articles were found for the qualitative synthesis. The meta-analysis was performed on five studies for the normalised iodine concentration (NIC; which is the iodine concentration in the lesion divided by the iodine concentration in the aorta) and the lesion-normal parenchyma iodine ratio (LNR; which is the iodine concentration in the lesion divided by the iodine concentration in the non-tumour hepatic parenchyma) on portal venous and arterial phase images due to sufficient data.

RESULTS

Spectral CT can be used to differentiate HCC from hepatic haemangioma (HH), focal nodular hyperplasia (FNH), regenerative nodules, neuroendocrine tumours (NETs), abscesses, and angiomyolipoma (AML). Hepatic metastases versus abscess and FNH versus HH could also be differentiated. The NMA demonstrated that HCC, NETs, and regenerative nodules could be differentiated due to lower quantitative iodine values. FNH, AML, and HH all had higher values.

CONCLUSION

Spectral CT shows promise in differentiating focal liver lesions. Studies with larger sample sizes are warranted. Future studies should be performed comparing benign lesions using quantitative markers.

摘要

目的

采用网络荟萃分析(NMA)确定光谱计算机断层扫描(CT)在鉴别局灶性肝病变与肝细胞癌(HCC)中的可行性。

材料与方法

本综述按照PRISMA指南完成。对三个医学数据库进行了检索。共找到9篇文章用于定性综合分析。由于数据充足,对5项研究的门静脉期和动脉期图像上的归一化碘浓度(NIC,即病变中的碘浓度除以主动脉中的碘浓度)和病变-正常实质碘比(LNR,即病变中的碘浓度除以非肿瘤肝实质中的碘浓度)进行了荟萃分析。

结果

光谱CT可用于鉴别HCC与肝血管瘤(HH)、局灶性结节性增生(FNH)、再生结节、神经内分泌肿瘤(NETs)、肝脓肿和血管平滑肌脂肪瘤(AML)。肝转移瘤与肝脓肿以及FNH与HH之间也可进行鉴别。NMA表明,由于定量碘值较低,HCC、NETs和再生结节可以区分。FNH、AML和HH的碘值均较高。

结论

光谱CT在鉴别局灶性肝病变方面显示出前景。有必要开展更大样本量的研究。未来的研究应使用定量指标对良性病变进行比较。

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