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实性肾脏肿块:数字告诉我们什么。

Solid renal masses: what the numbers tell us.

机构信息

1 Department of Radiology, NYU Langone Medical Center, 550 First Ave, New York, NY 10016.

出版信息

AJR Am J Roentgenol. 2014 Jun;202(6):1196-206. doi: 10.2214/AJR.14.12502.

Abstract

OBJECTIVE

Solid renal masses are most often incidentally detected at imaging as small (≤ 4 cm) localized lesions. These lesions comprise a wide spectrum of benign and malignant histologic subtypes, but are largely treated with surgical resection given the limited ability of imaging to differentiate among them with consistency and high accuracy. Numerous studies have thus examined the ability of CT and MRI techniques to separate benign lesions from malignancies and to predict renal cancer histologic grade and subtype. This article synthesizes the evidence regarding renal mass characterization at CT and MRI, provides diagnostic algorithms for evidence-based practice, and highlights areas of further research needed to drive imaging-based management of renal masses.

CONCLUSION

Despite extensive study of morphologic and quantitative criteria at conventional imaging, no CT or MRI techniques can reliably distinguish solid benign tumors, such as oncocytoma and lipid-poor angiomyolipoma, from malignant renal tumors. Larger studies are required to validate recently developed techniques, such as diffusion-weighted imaging. Evidence-based practice includes MRI to assess renal lesions in situations where CT is limited and to help guide management in patients who are considered borderline surgical candidates.

摘要

目的

在影像学检查中,通常偶然发现小(≤4cm)局限性的肾脏实体肿块。这些病变包含广泛的良性和恶性组织学亚型,但由于影像学在一致性和高精度方面区分它们的能力有限,这些病变主要通过手术切除来治疗。因此,许多研究已经检查了 CT 和 MRI 技术区分良性病变与恶性肿瘤以及预测肾细胞癌组织学分级和亚型的能力。本文综合了关于 CT 和 MRI 肾脏肿块特征的证据,为基于证据的实践提供了诊断算法,并强调了需要进一步研究的领域,以推动基于影像学的肾脏肿块管理。

结论

尽管对常规影像学的形态学和定量标准进行了广泛的研究,但没有 CT 或 MRI 技术可以可靠地区分实质性良性肿瘤,如嗜酸细胞瘤和乏脂性血管平滑肌脂肪瘤,与恶性肾肿瘤。需要更大的研究来验证最近开发的技术,如扩散加权成像。基于证据的实践包括在 CT 受限的情况下使用 MRI 评估肾脏病变,并帮助指导被认为是临界手术候选者的患者的管理。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5fa2/4174582/3030a234757d/nihms626812f1a.jpg

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