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2018版肝脏影像报告和数据系统(LI-RADS)中表观扩散系数值的价值

The value of the apparent diffusion coefficient value in the Liver Imaging Reporting and Data System (LI-RADS) version 2018.

作者信息

Saleh Gehad Ahmad, Razek Ahmed Abdel Khalek Abdel, El-Serougy Lamiaa Galal, Shabana Walaa, El-Wahab Rihame Abd

机构信息

Department of Diagnostic Radiology, Mansoura University, Faculty of Medicine, Mansoura, Egypt.

Department of Tropical Medicine, Mansoura University, Faculty of Medicine, Mansoura, Egypt.

出版信息

Pol J Radiol. 2022 Jan 17;87:e43-e50. doi: 10.5114/pjr.2022.113193. eCollection 2022.

Abstract

PURPOSE

To assess role of the apparent diffusion coefficient (ADC) in the Liver Imaging Reporting and Data System (LI-RADS) version 2018 for the prediction of hepatocellular carcinoma (HCC).

MATERIAL AND METHODS

Retrospective analysis of 137 hepatic focal lesions in 108 patients at risk of HCC, who underwent magnetic resonance imaging of the liver. Hepatic focal lesions were classified according to LI-RADS-v2018, and ADC of hepatic lesions was calculated by 2 independent blinded reviewers.

RESULTS

The mean ADC of LR-1 and LR-2 were 2.11 ± 0.47 and 2.08 ± 0.47 × 10 mm/s, LR-3 were 1.28 ± 0.12 and 1.36 ± 0.16 × 10 mm/s, LR-4, LR-5 and LR-TIV were 1.07 ± 0.08 and 1.08 ± 0.12 × 10 mm/s and LR-M were 1.02 ± 0.09 and 1.00 ± 0.09 × 10 mm/s by both observers, respectively. There was excellent agreement of both readings for LR-1 and LR-2 ( = 0.988), LR-3 ( = 0.965), LR-4, LR-5 and LR-TIV ( = 0.889) and LR-M ( = 0.883). There was excellent correlation between ADC and LI-RADS-v2018 ( = -0.849 and -0.846). The cut-off ADC used to differentiate LR-3 from LR-4, LR-5, and LR-TIV were ≤ 1.21 and ≤ 1.23 × 10 mm/s with AUC of 0.948 and 0.926.

CONCLUSIONS

Inclusion of ADC to LI-RADS-v2018 improves differentiation variable LI-RADS categories and can helps in the prediction of HCC.

摘要

目的

评估表观扩散系数(ADC)在2018版肝脏影像报告和数据系统(LI-RADS)中对肝细胞癌(HCC)的预测作用。

材料与方法

对108例有HCC风险的患者的137个肝脏局灶性病变进行回顾性分析,这些患者均接受了肝脏磁共振成像检查。肝脏局灶性病变根据LI-RADS-v2018进行分类,肝脏病变的ADC由2名独立的盲法审阅者计算得出。

结果

两位观察者测得,LR-1和LR-2的平均ADC分别为(2.11±0.47)×10⁻³mm²/s和(2.08±0.47)×10⁻³mm²/s,LR-3为(1.28±0.12)×10⁻³mm²/s和(1.36±0.16)×10⁻³mm²/s,LR-4、LR-5和LR-TIV为(1.07±0.08)×10⁻³mm²/s和(1.08±0.12)×10⁻³mm²/s,LR-M为(1.02±0.09)×10⁻³mm²/s和(1.00±0.09)×10⁻³mm²/s。两位审阅者对LR-1和LR-2(κ=0.988)、LR-3(κ=0.965)、LR-4、LR-5和LR-TIV(κ=0.889)以及LR-M(κ=0.883)的读数一致性良好。ADC与LI-RADS-v2018之间存在高度相关性(r=-0.849和-0.846)。用于区分LR-3与LR-4、LR-5和LR-TIV的ADC临界值分别为≤1.21×10⁻³mm²/s和≤1.23×10⁻³mm²/s,曲线下面积(AUC)分别为0.948和0.926。

结论

在LI-RADS-v2018中纳入ADC可改善不同LI-RADS类别的鉴别变量,并有助于HCC的预测。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cc0d/8814898/2cfcb49a664c/PJR-87-46332-g001.jpg

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