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CT增强率与细胞外容积在肝纤维化预测中的可靠性评估

Reliability assessment of CT enhancement rate and extracellular volume in liver fibrosis prediction.

作者信息

Salahshour Faeze, Abkhoo Aminreza, Sadeghian Sina, Safaei Masoomeh

机构信息

Advanced Diagnostic and Interventional Radiology Research Center (ADIR), Imam Khomeini Hospital, Tehran University of Medical Sciences, Tehran, Iran.

Department of Pathology, Cancer Institute, Imam Khomeini Hospital Complex, Tehran University of Medical Sciences, Tehran, Iran.

出版信息

BMC Gastroenterol. 2025 Feb 21;25(1):101. doi: 10.1186/s12876-025-03678-5.

Abstract

BACKGROUND

Reliable, non-invasive evaluation of liver fibrosis is essential for early disease management. Computed tomography (CT)-based extracellular volume (ECV) fraction and portal venous phase enhancement rate (VP-ER) have shown potential in quantifying mild-to-moderate fibrosis. This study investigates the diagnostic performance of ECV and VP-ER in differentiating non-significant (F0-F1) from significant (F2-F3) fibrosis in biopsy-confirmed patients.

METHODS

Ninety-three patients (20-72 years, 56.9% male) undergoing liver biopsy and multiphasic CT scans were retrospectively enrolled. Patients with METAVIR F4 cirrhosis or incomplete imaging/pathological data were excluded. Hematocrit levels were obtained on the day of CT. ECV was calculated from differences in liver and aortic attenuation between delayed and enhanced phases, adjusted for hematocrit. VP-ER was derived as the ratio of liver attenuation in venous to portal venous phases multiplied by 100. Spearman's correlation, receiver operating characteristic (ROC) curves, and DeLong tests evaluated their performance. Multiple logistic regression assessed independent contributions of ECV and VP-ER to fibrosis status.

RESULTS

Fifty-three patients had no significant fibrosis (F0-F1) and 40 had significant fibrosis (F2-F3). ECV demonstrated a moderate correlation with fibrosis grade (r = 0.531, p < 0.0001), while VP-ER showed a weaker yet statistically significant correlation (r = 0.363, p = 0.0003). ROC analyses yielded an area under the curve (AUC) of 0.698 for ECV (cut-off = 38%) and 0.763 for VP-ER (cut-off = 71%), with no significant difference between AUCs (p = 0.358). VP-ER accurately classified 70 patients, while ECV correctly predicted 65. Logistic regression revealed significant associations for both VP-ER (OR = 1.08; p = 0.007) and ECV (OR = 1.025; p = 0.0132), achieving 72.04% classification accuracy and an overall AUC of 0.756 (95% CI: 0.688-0.863).

CONCLUSION

ECV fraction and VP-ER demonstrated reliable, complementary capabilities for distinguishing non-significant fibrosis from significant fibrosis. Their combined use in routine multiphasic CT protocols may reduce dependence on invasive biopsy while offering robust sensitivity and specificity for early fibrosis assessment. Further studies including cirrhotic populations and larger cohorts are recommended.

摘要

背景

对肝纤维化进行可靠的非侵入性评估对于疾病的早期管理至关重要。基于计算机断层扫描(CT)的细胞外容积(ECV)分数和门静脉期强化率(VP-ER)在量化轻度至中度纤维化方面已显示出潜力。本研究调查了ECV和VP-ER在经活检证实的患者中区分非显著性(F0-F1)与显著性(F2-F3)纤维化的诊断性能。

方法

回顾性纳入93例接受肝脏活检和多期CT扫描的患者(年龄20 - 72岁,男性占56.9%)。排除患有METAVIR F4肝硬化或影像/病理数据不完整的患者。在CT检查当天获取血细胞比容水平。根据延迟期和强化期肝脏与主动脉衰减的差异计算ECV,并根据血细胞比容进行调整。VP-ER通过静脉期与门静脉期肝脏衰减的比值乘以100得出。采用Spearman相关性分析、受试者操作特征(ROC)曲线分析和DeLong检验评估其性能。多元逻辑回归评估ECV和VP-ER对纤维化状态的独立贡献。

结果

53例患者无显著性纤维化(F0-F1),40例有显著性纤维化(F2-F3)。ECV与纤维化分级呈中度相关(r = 0.531,p < 0.0001),而VP-ER显示出较弱但具有统计学意义的相关性(r = 0.363,p = 0.0003)。ROC分析得出ECV的曲线下面积(AUC)为0.698(截断值 = 38%),VP-ER的AUC为0.763(截断值 = 71%),AUC之间无显著差异(p = 0.358)。VP-ER准确分类了70例患者,而ECV正确预测了65例。逻辑回归显示VP-ER(OR = 1.08;p = 0.007)和ECV(OR = 1.025;p = 0.0132)均有显著相关性,分类准确率达到72.04%,总体AUC为0.756(95%CI:0.688 - 0.863)。

结论

ECV分数和VP-ER在区分非显著性纤维化与显著性纤维化方面表现出可靠的互补能力。它们在常规多期CT检查方案中的联合应用可能会减少对侵入性活检的依赖,同时为早期纤维化评估提供强大的敏感性和特异性。建议开展包括肝硬化人群和更大队列的进一步研究。

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