Computed Tomography-Derived Extracellular Volume Fraction and Splenic Size for Liver Fibrosis Staging.

IF 1 4区 医学 Q4 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING Journal of Computer Assisted Tomography Pub Date : 2024-06-03 DOI:10.1097/RCT.0000000000001631
Numan Kutaiba, Anthony Tran, Saad Ashraf, Danny Con, Julie Lokan, Mark Goodwin, Adam Testro, Gary Egan, Ruth Lim
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Abstract

Objective: Extracellular volume fraction (fECV) and liver and spleen size have been correlated with liver fibrosis stages and cirrhosis. The purpose of the current study was to determine the predictive value of fECV alone and in conjunction with measurement of liver and spleen size for severity of liver fibrosis.

Methods: This was a retrospective study of 95 subjects (65 with liver biopsy and 30 controls). Spearman rank correlation coefficient was used to assess correlation between radiological markers and fibrosis stage. Receiver operating characteristic analysis was performed to assess the discriminative ability of radiological markers for significant (F2+) and advanced (F3+) fibrosis and cirrhosis (F4), by reporting the area under the curve (AUC).

Results: The cohort had a mean age of 51.4 ± 14.4 years, and 52 were female (55%). There were 36, 5, 6, 9, and 39 in fibrosis stages F0, F1, F2, F3, and F4, respectively. Spleen volume alone showed the highest correlation (r = 0.552, P < 0.001) and AUCs of 0.823, 0.807, and 0.785 for identification of significant and advanced fibrosis and cirrhosis, respectively. Adding fECV to spleen length improved AUCs (0.764, 0.745, and 0.717 to 0.812, 0.781, and 0.738, respectively) compared with splenic length alone. However, adding fECV to spleen volume did not improve the AUCs for significant or advanced fibrosis or cirrhosis.

Conclusions: Spleen size (measured in length or volume) showed better correlation with liver fibrosis stages compared with fECV. The combination of fECV and spleen length had higher accuracy compared with fECV alone or spleen length alone.

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用于肝纤维化分期的计算机断层扫描衍生细胞外体积分数和脾脏大小
目的细胞外体积分数(fECV)和肝脾大小与肝纤维化分期和肝硬化相关。本研究的目的是确定细胞外体积分数单独以及与肝脏和脾脏大小测量相结合对肝纤维化严重程度的预测价值:这是一项对 95 名受试者(65 名肝脏活检者和 30 名对照者)进行的回顾性研究。采用斯皮尔曼秩相关系数评估放射标志物与肝纤维化分期之间的相关性。通过报告曲线下面积(AUC),进行受试者操作特征分析,以评估放射学标志物对明显(F2+)和晚期(F3+)纤维化及肝硬化(F4)的鉴别能力:组群的平均年龄为 51.4 ± 14.4 岁,女性 52 人(55%)。纤维化分期为 F0、F1、F2、F3 和 F4 的患者分别有 36、5、6、9 和 39 人。单纯脾脏体积显示出最高的相关性(r = 0.552,P < 0.001),在识别明显和晚期纤维化及肝硬化方面的 AUC 分别为 0.823、0.807 和 0.785。与单用脾脏长度相比,将 fECV 加入脾脏长度可提高 AUC(分别从 0.764、0.745 和 0.717 提高到 0.812、0.781 和 0.738)。然而,将 fECV 加入脾脏体积并不能改善明显或晚期纤维化或肝硬化的 AUCs:结论:与 fECV 相比,脾脏大小(以长度或体积测量)与肝纤维化分期的相关性更好。与单独测量 fECV 或单独测量脾脏长度相比,fECV 和脾脏长度的组合具有更高的准确性。
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来源期刊
CiteScore
2.50
自引率
0.00%
发文量
230
审稿时长
4-8 weeks
期刊介绍: The mission of Journal of Computer Assisted Tomography is to showcase the latest clinical and research developments in CT, MR, and closely related diagnostic techniques. We encourage submission of both original research and review articles that have immediate or promissory clinical applications. Topics of special interest include: 1) functional MR and CT of the brain and body; 2) advanced/innovative MRI techniques (diffusion, perfusion, rapid scanning); and 3) advanced/innovative CT techniques (perfusion, multi-energy, dose-reduction, and processing).
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