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偶发性局灶性脾脏病变:综合影像学与模式识别方法进行鉴别诊断

Incidental Focal Spleen Lesions: Integrated Imaging and Pattern Recognition Approach to the Differential Diagnosis.

作者信息

Corvino Antonio, Granata Vincenza, Tafuri Domenico, Cocco Giulio, Catalano Orlando

机构信息

Movement Sciences and Wellbeing Department, University of Naples "Parthenope", Via Medina 40, I-80133 Naples, Italy.

Division of Radiology, Istituto Nazionale Tumori IRCCS Fondazione Pascale, I-80131 Naples, Italy.

出版信息

Diagnostics (Basel). 2023 Jul 30;13(15):2536. doi: 10.3390/diagnostics13152536.

Abstract

Spleen lesions and pseudolesions, detected incidentally in imaging, are not uncommon and may require further work-up. The imaging appearance of focal splenic lesions (FSLs) may not be pathognomonic, because of considerably overlapping features. Consequently, all imaging techniques lack specificity to fully characterize FSLs. Clinical correlation is mandatory, so as, first of all, to categorize the patient as having or not having a history of solid or hematologic malignancy. Nowadays, many patients have old imaging studies available for comparison and, consequently, it is important to understand if the lesion was previously present or not, and if the size is the same or has changed. In the absence of comparison studies, and with a lack of imaging features of benignity, further investigation may be necessary, using PET, biopsy, or short-term follow-up. Some algorithms have been proposed to manage incidental FSLs; however, none of these strategies has been validated by prospective studies to date. In this review we illustrate the topic of incidental FSLs and we analyze a number of published algorithms.

摘要

脾脏病变及假病变在影像学检查中偶然发现并不罕见,可能需要进一步检查。由于特征有相当程度的重叠,局灶性脾病变(FSLs)的影像学表现可能不具有特异性。因此,所有成像技术都缺乏完全表征FSLs的特异性。临床关联至关重要,首先要将患者归类为有或没有实体或血液系统恶性肿瘤病史。如今,许多患者有既往影像学检查可供比较,因此,了解病变之前是否存在以及大小是否相同或有变化很重要。在没有比较研究且缺乏良性影像学特征的情况下,可能需要使用PET、活检或短期随访进行进一步检查。已经提出了一些算法来处理偶然发现的FSLs;然而,迄今为止,这些策略均未得到前瞻性研究的验证。在本综述中,我们阐述了偶然发现的FSLs这一主题,并分析了一些已发表的算法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/89e6/10416953/5d26d49c2f31/diagnostics-13-02536-g001.jpg

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