Pan Yijun, Liu Wei, Shan Yan, Lin Jiang, Xu Pengju
Department of Radiology, Zhongshan Hospital, Fudan University, Shanghai, China.
Shanghai Institute of Medical Imaging, Shanghai, China.
Quant Imaging Med Surg. 2024 Dec 5;14(12):8758-8770. doi: 10.21037/qims-24-836. Epub 2024 Nov 13.
Focal nodular hyperplasia (FNH) in the liver is a benign lesion and the relationship between lesion size and imaging features is yet to be established. We aimed to develop and validate a scoring system to assess the relationship between magnetic resonance imaging (MRI) features and lesion size in FNH.
This cross-sectional study was conducted at Zhongshan Hospital, Fudan University in Shanghai, China, from August 2019 and March 2023. Three hundred and seven patients with 363 surgically confirmed FNHs were retrospectively enrolled (training set: 254 lesions, validation set: 109 lesions). Lesions were divided into large (>3 cm) and small (≤3 cm) groups according to the diameter. Multivariate logistic regression was used to assess imaging features associated with lesion size in the training set. A scoring system was constructed and verified. The discrimination and calibration performance of the scoring system were evaluated by the receiver operating characteristic and calibration curve.
In the training set, a round appearance (P<0.001) and hyperintense on arterial, portal and delayed phase (P=0.004) were more frequently observed in small FNHs, whereas a lobulated appearance [odds ratio (OR) =4.155, 95% confidence interval (CI): 2.023-8.536; P<0.001], feeding artery (OR =7.083, 95% CI: 2.970-16.892; P<0.001), radiating septa (OR =3.747, 95% CI: 1.682-8.347; P=0.001), central scar (OR =2.838, 95% CI: 1.284-6.273; P=0.010), hyperintense on arterial phase, hyper to isointense on portal phase, and isointense on delayed phase (OR =3.539, 95% CI: 1.650-7.595; P=0.001) were significantly associated with large FNHs. A scoring system derived from these variables showed an area under the curve of 0.888 (95% CI: 0.843-0.924) and 0.896 (95% CI: 0.821-0.945) in training and validation set respectively.
Through scoring MRI features, it can be observed that these features contribute differently to the diagnosis of FNH depending on its size.
肝脏局灶性结节性增生(FNH)是一种良性病变,病变大小与影像学特征之间的关系尚未明确。我们旨在开发并验证一种评分系统,以评估FNH的磁共振成像(MRI)特征与病变大小之间的关系。
本横断面研究于2019年8月至2023年3月在中国上海复旦大学附属中山医院进行。回顾性纳入307例经手术确诊为FNH的患者,共363个病灶(训练集:254个病灶,验证集:109个病灶)。根据直径将病灶分为大病灶(>3 cm)和小病灶(≤3 cm)两组。在训练集中采用多因素逻辑回归评估与病灶大小相关的影像学特征。构建并验证了一个评分系统。通过受试者工作特征曲线和校准曲线评估评分系统的鉴别和校准性能。
在训练集中,小FNH更常表现为圆形外观(P<0.001)以及动脉期、门静脉期和延迟期高信号(P=0.004),而分叶状外观[比值比(OR)=4.155,95%置信区间(CI):2.023-8.536;P<0.001]、供血动脉(OR =7.083,95% CI:2.970-16.892;P<0.001)、放射状分隔(OR =3.747,95% CI:1.682-8.347;P=0.001)、中心瘢痕(OR =2.838,95% CI:1.284-6.273;P=0.010)、动脉期高信号、门静脉期高信号至等信号以及延迟期等信号(OR =3.539,95% CI:1.650-7.595;P=0.001)与大FNH显著相关。由这些变量得出的评分系统在训练集和验证集中的曲线下面积分别为0.888(95% CI:0.843-0.924)和0.896(95% CI:0.821-0.945)。
通过对MRI特征进行评分,可以观察到这些特征对不同大小FNH的诊断贡献不同。