Evaluation of Splenic Involvement in Lymphomas Using Extracellular Volume Fraction Computed Tomography.

IF 1 4区 医学 Q4 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING Journal of Computer Assisted Tomography Pub Date : 2024-10-10 DOI:10.1097/RCT.0000000000001664
Suqin Xu, Meimei Cao, Longlan Chen, Jinfang Shi, Xiaoxia Wang, Lan Li, Lu Wang, Jiuquan Zhang
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Abstract

Objective: To evaluate whether the extracellular volume (ECV) fraction can be used to identify splenic involvement in lymphoma patients and whether it can be used to improve the diagnostic performance of conventional computed tomography (CT) in the diagnosis of splenic diffuse involvement.

Methods: Consecutive patients with newly diagnosed lymphoma who underwent abdomen contrast-enhanced CT and 18F-fluorodeoxyglucose positron emission tomography/CT for diagnosis or staging were retrospectively enrolled. Patients were divided into the splenic involvement (diffuse or focal) and noninvolvement groups. The ECV fraction was obtained in all patients. In the splenic diffuse involvement and noninvolvement groups, spleen vertical length (SVL) >13 cm and obliteration of normal heterogeneous enhancement of the spleen in arterial phase were recorded. Receiver operating characteristic curve was used to analyze the diagnostic performance, and area under the curve (AUC) comparison was performed using the Delong test.

Results: A total of 135 patients were included, 56 patients with splenic involvement (36 diffuse and 20 focal) and 79 patients with noninvolvement. Splenic involvement can be identified via the ECV fraction (AUC = 0.839). In distinguishing splenic diffuse involvement, the AUC of the ECV fraction was superior to the SVL >13 cm (0.788 vs 0.627, P = 0.007) and obliteration of normal heterogeneous enhancement of the spleen (0.788 vs 0.596, P = 0.001). The combination of ECV fraction and SVL >13 cm demonstrated superior diagnostic performance, with an AUC of 0.830, surpassing all other parameters.

Conclusion: The ECV fraction can be used to identify splenic involvement. The ECV fraction combined with SVL >13 cm is recommended for the prediction of splenic diffuse involvement.

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利用细胞外体积分数计算机断层扫描评估淋巴瘤的脾脏受累情况
目的评估细胞外体积(ECV)部分是否可用于识别淋巴瘤患者的脾脏受累情况,以及是否可用于提高常规计算机断层扫描(CT)诊断脾脏弥漫性受累的性能:方法:回顾性收集了接受腹部对比增强CT和18F-氟脱氧葡萄糖正电子发射断层扫描/CT诊断或分期的连续新诊断淋巴瘤患者。患者被分为脾脏受累组(弥漫型或局灶型)和非受累组。所有患者都获得了 ECV 分数。在脾脏弥漫受累组和非受累组中,记录了脾脏垂直长度(SVL)>13 厘米和动脉期脾脏正常异型强化消失。使用接收者操作特征曲线分析诊断性能,并使用 Delong 检验比较曲线下面积(AUC):共纳入 135 例患者,其中 56 例为脾脏受累患者(36 例弥漫性受累,20 例局灶性受累),79 例为非受累患者。脾脏受累可通过 ECV 分数识别(AUC = 0.839)。在鉴别脾脏弥漫性受累方面,ECV分数的AUC优于SVL>13厘米(0.788 vs 0.627,P = 0.007)和脾脏正常异质性增强的钝化(0.788 vs 0.596,P = 0.001)。ECV分数和SVL >13厘米的组合显示出卓越的诊断性能,其AUC为0.830,超过了所有其他参数:结论:ECV分数可用于鉴别脾脏受累。结论:ECV分数可用于鉴别脾脏受累,建议将ECV分数与SVL >13厘米相结合,用于预测脾脏弥漫性受累。
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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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