• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

影像学在肾肿块管理中的作用。

The role of imaging in the management of renal masses.

机构信息

Department of Clinical Radiology, School of Health Sciences, Faculty of Medicine, University of Ioannina, 45110, Ioannina, Greece.

Department of Newer Imaging Methods of Tomography, General Anti-Cancer Hospital Agios Savvas, 11522, Athens, Greece.

出版信息

Eur J Radiol. 2021 Aug;141:109777. doi: 10.1016/j.ejrad.2021.109777. Epub 2021 May 15.

DOI:10.1016/j.ejrad.2021.109777
PMID:34020173
Abstract

The wide availability of cross-sectional imaging is responsible for the increased detection of small, usually asymptomatic renal masses. More than 50 % of renal cell carcinomas (RCCs) represent incidental findings on noninvasive imaging. Multimodality imaging, including conventional US, contrast-enhanced US (CEUS), CT and multiparametric MRI (mpMRI) is pivotal in diagnosing and characterizing a renal mass, but also provides information regarding its prognosis, therapeutic management, and follow-up. In this review, imaging data for renal masses that urologists need for accurate treatment planning will be discussed. The role of US, CEUS, CT and mpMRI in the detection and characterization of renal masses, RCC staging and follow-up of surgically treated or untreated localized RCC will be presented. The role of percutaneous image-guided ablation in the management of RCC will be also reviewed.

摘要

横断面成像的广泛应用导致了对小的、通常无症状的肾肿块的检测增加。超过 50%的肾细胞癌(RCC)是在非侵入性成像上偶然发现的。多模态成像,包括常规超声、对比增强超声(CEUS)、CT 和多参数 MRI(mpMRI),在诊断和描述肾肿块方面至关重要,但也提供了关于其预后、治疗管理和随访的信息。在这篇综述中,将讨论泌尿科医生为了准确的治疗计划所需的肾肿块的成像数据。将介绍超声、CEUS、CT 和 mpMRI 在肾肿块的检测和特征描述、RCC 分期以及手术治疗或未治疗的局限性 RCC 的随访中的作用。还将回顾经皮影像引导消融在 RCC 治疗中的作用。

相似文献

1
The role of imaging in the management of renal masses.影像学在肾肿块管理中的作用。
Eur J Radiol. 2021 Aug;141:109777. doi: 10.1016/j.ejrad.2021.109777. Epub 2021 May 15.
2
Comparison of Contrast-Enhanced Ultrasound Scan (CEUS) and MRI in the follow-up of cryoablation for small renal tumors. Experience on 25 cases.对比增强超声扫描(CEUS)与磁共振成像(MRI)在小肾肿瘤冷冻消融随访中的比较:25例经验
Urologia. 2014 Jan-Mar;81 Suppl 23:S1-8. doi: 10.5301/RU.2014.11986. Epub 2014 Mar 6.
3
Contrast-enhanced ultrasound-guided percutaneous microwave ablation of renal cell carcinoma that is inconspicuous on conventional ultrasound.超声造影引导下经皮微波消融常规超声检查不明显的肾细胞癌
Int J Hyperthermia. 2016 Sep;32(6):607-13. doi: 10.3109/02656736.2016.1172118. Epub 2016 Jun 7.
4
Application of contrast-enhanced ultrasonography after radiofrequency ablation for renal cell carcinoma: is it sufficient for assessment of therapeutic response?对比增强超声在肾细胞癌射频消融术后的应用:它对评估治疗反应是否足够?
Abdom Imaging. 2011 Jun;36(3):342-7. doi: 10.1007/s00261-010-9665-x.
5
Contrast-Enhanced Ultrasound in Renal Imaging and Intervention.对比增强超声在肾脏成像和介入中的应用。
Curr Urol Rep. 2019 Oct 17;20(11):73. doi: 10.1007/s11934-019-0936-y.
6
Diagnostic accuracy of contrast-enhanced computed tomography and contrast-enhanced magnetic resonance imaging of small renal masses in real practice: sensitivity and specificity according to subjective radiologic interpretation.实际应用中对比增强计算机断层扫描和对比增强磁共振成像对小肾肿块的诊断准确性:基于主观影像学解释的敏感性和特异性
World J Surg Oncol. 2016 Oct 12;14(1):260. doi: 10.1186/s12957-016-1017-z.
7
Multiparametric MRI of Solid Renal Masses: Principles and Applications of Advanced Quantitative and Functional Methods for Tumor Diagnosis and Characterization.肾脏实性肿块的多参数 MRI:肿瘤诊断和特征分析的高级定量与功能方法的原理及应用。
J Magn Reson Imaging. 2023 Aug;58(2):342-359. doi: 10.1002/jmri.28718. Epub 2023 Apr 13.
8
Diagnostic performance of prospectively assigned clear cell Likelihood scores (ccLS) in small renal masses at multiparametric magnetic resonance imaging.多参数磁共振成像中前瞻性分配的透明细胞似然评分(ccLS)对小肾肿块的诊断性能
Urol Oncol. 2019 Dec;37(12):941-946. doi: 10.1016/j.urolonc.2019.07.023. Epub 2019 Sep 17.
9
Renal Complex Cystic Masses: Usefulness of Contrast-Enhanced Ultrasound (CEUS) in Their Assessment and Its Agreement with Computed Tomography.肾脏复杂囊性肿块:对比增强超声(CEUS)在其评估中的应用及其与计算机断层扫描的一致性
Curr Urol Rep. 2016 Dec;17(12):89. doi: 10.1007/s11934-016-0646-7.
10
Clinico-radio-pathologic features of a solitary solid renal mass at MDCT examination.多层螺旋CT检查中孤立性实性肾肿块的临床-影像-病理特征
Acta Radiol. 2010 Dec;51(10):1143-8. doi: 10.3109/02841851.2010.515617. Epub 2010 Sep 19.

引用本文的文献

1
Image Imputation with conditional generative adversarial networks captures clinically relevant imaging features on computed tomography.使用条件生成对抗网络进行图像插补可在计算机断层扫描上捕捉到临床相关的影像特征。
PLOS Digit Health. 2025 Aug 13;4(8):e0000970. doi: 10.1371/journal.pdig.0000970. eCollection 2025 Aug.
2
Deep learning enabled near-isotropic CAIPIRINHA VIBE in the nephrogenic phase improves image quality and renal lesion conspicuity.深度学习助力肾源性期近各向同性CAIPIRINHA VIBE序列提高图像质量及肾脏病变显示清晰度。
Eur J Radiol Open. 2024 Dec 12;14:100622. doi: 10.1016/j.ejro.2024.100622. eCollection 2025 Jun.
3
Imaging in Renal Cell Carcinoma Detection.
肾细胞癌检测中的影像学检查
Diagnostics (Basel). 2024 Sep 23;14(18):2105. doi: 10.3390/diagnostics14182105.
4
Effective strategies to enhance the diagnosis and treatment of RCC: The application of biocompatible materials.提高肾细胞癌诊断和治疗水平的有效策略:生物相容性材料的应用
Mater Today Bio. 2024 Jul 9;27:101149. doi: 10.1016/j.mtbio.2024.101149. eCollection 2024 Aug.
5
Contrast-Enhanced Ultrasound in the Diagnosis of Solid Renal Lesions.超声造影在肾实性病变诊断中的应用
J Clin Med. 2024 Jun 29;13(13):3821. doi: 10.3390/jcm13133821.
6
Three-dimensional deep learning model complements existing models for preoperative disease-free survival prediction in localized clear cell renal cell carcinoma: a multicenter retrospective cohort study.三维深度学习模型补充现有模型用于预测局限性透明细胞肾细胞癌的术前无病生存期:一项多中心回顾性队列研究
Int J Surg. 2024 Nov 1;110(11):7034-7046. doi: 10.1097/JS9.0000000000001808.
7
Clinical T1/2 renal cell carcinoma: multiparametric dynamic contrast-enhanced MRI features-based model for the prediction of individual adverse pathology.临床 T1/2 期肾细胞癌:基于多参数动态对比增强 MRI 特征的预测个体化不良病理模型。
World J Surg Oncol. 2024 Jun 1;22(1):145. doi: 10.1186/s12957-024-03431-4.
8
Development and validation of a clinical and ultrasound features-based nomogram for preoperative differentiation of renal urothelial carcinoma and central renal cell carcinoma.基于临床和超声特征的列线图在术前鉴别肾尿路上皮癌和中央型肾细胞癌中的开发和验证。
World J Urol. 2024 Apr 10;42(1):227. doi: 10.1007/s00345-024-04935-0.
9
Scientific Status Quo of Small Renal Lesions: Diagnostic Assessment and Radiomics.小肾病变的科学现状:诊断评估与放射组学
J Clin Med. 2024 Jan 18;13(2):547. doi: 10.3390/jcm13020547.
10
Conditional generative learning for medical image imputation.条件生成式学习在医学图像插补中的应用。
Sci Rep. 2024 Jan 2;14(1):171. doi: 10.1038/s41598-023-50566-7.