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猫和狗腹部疾病中脂肪纹理的 CT 成像特征。

CT imaging features of fat stranding in cats and dogs with abdominal disorder.

机构信息

Department of Veterinary Medical Imaging, College of Veterinary Medicine and BK 21 Plus Project Team, Chonnam National University, Gwangju 61186, Korea.

Department of Veterinary Medical Imaging, College of Veterinary Medicine, Seoul National University, Seoul 08826, Korea.

出版信息

J Vet Sci. 2022 Nov;23(6):e70. doi: 10.4142/jvs.22059. Epub 2022 Jul 26.

Abstract

BACKGROUND

Fat stranding is a non-specific finding of an increased fat attenuation on computed tomography (CT) images. Fat stranding is used for detecting the underlying lesion in humans.

OBJECTIVES

To assess the clinical significance of fat stranding on CT images for identifying the underlying cause in dogs and cats.

METHODS

In this retrospective study, the incidence, location, extent, distribution, and pattern of fat stranding were assessed on CT studies obtained from 134 cases.

RESULTS

Fat stranding was found in 38% (51/134) of all cases and in 35% (37/107) of tumors, which was significantly higher in malignant tumors (44%) than benign tumors (12%). Moreover, fat stranding was found in more than two areas in malignant tumors (16/33) and in a single area in benign tumors (4/4). In inflammation, fat stranding was demonstrated in 54% (7/13) in a single area (7/7) as a focal distribution (6/7). In trauma, fat stranding was revealed in 50% (7/14) and most were in multiple areas (6/7). Regardless of the etiologies, fat stranding was always around the underlying lesion and a reticular pattern was the most common presentation. Logistic regression analysis revealed that multiple areas ( = 0.040) of fat stranding and a reticulonodular pattern ( = 0.022) are the significant predictors of malignant tumor.

CONCLUSIONS

These findings indicated that CT fat stranding can be used as a clue for identifying the underlying lesion and can be useful for narrowing the differential list based on the extent and pattern.

摘要

背景

脂肪条纹是 CT 图像上脂肪衰减增加的非特异性表现。脂肪条纹用于在人类中检测潜在病变。

目的

评估 CT 图像上的脂肪条纹对识别犬猫潜在病因的临床意义。

方法

在这项回顾性研究中,评估了 134 例病例的 CT 研究中脂肪条纹的发生率、位置、程度、分布和模式。

结果

在所有病例中,38%(51/134)和 35%(37/107)的肿瘤中发现了脂肪条纹,恶性肿瘤(44%)明显高于良性肿瘤(12%)。此外,恶性肿瘤中脂肪条纹出现在两个以上区域(16/33),良性肿瘤中仅出现在一个区域(4/4)。在炎症中,脂肪条纹在 54%(7/13)的单个区域(7/7)中呈局灶性分布(6/7)。在创伤中,脂肪条纹出现在 50%(7/14)的病例中,大多数出现在多个区域(6/7)。无论病因如何,脂肪条纹总是围绕潜在病变,网状模式是最常见的表现。逻辑回归分析显示,多个区域( = 0.040)的脂肪条纹和网状结节模式( = 0.022)是恶性肿瘤的显著预测因子。

结论

这些发现表明 CT 脂肪条纹可作为识别潜在病变的线索,并可根据程度和模式缩小鉴别诊断列表。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e841/9715384/27f90265185a/jvs-23-e70-g001.jpg

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