国际医药卫生导报 ›› 2022, Vol. 28 ›› Issue (6): 759-761.DOI: 10.3760/cma.j.issn.1007-1245.2022.06.006

• 科研课题专栏 • 上一篇    下一篇

髓质海绵肾的诊断研究进展

梁雁冰  陈金兰  苏郑明   

  1. 广州医科大学附属第五医院泌尿外科 广州市加速康复腹部外科重点实验室,广州 510700

  • 收稿日期:2021-10-28 出版日期:2022-03-15 发布日期:2022-04-15
  • 通讯作者: 苏郑明,Email:jaminsu@163.com
  • 基金资助:

    广东省医学科研项目(A2021351);

    广东省中医药局科研项目(20211250);

    广州市医学重点学科项目(2021-2023);

    广州医科大学临床重点专科项目(广医大发[2020]5号)

Review on the diagnosis of medullary sponge kidney

Liang Yanbing, Chen Jinlan, Su Zhengming   

  1. Department of Urology, The Fifth Affiliated Hospital of Guangzhou Medical University, Guangzhou Key Laboratory of Enhanced Recovery after Abdominal Surgery, Guangzhou 510700, China

  • Received:2021-10-28 Online:2022-03-15 Published:2022-04-15
  • Contact: Su Zhengming, Email: jaminsu@163.com
  • Supported by:

    Medical Scientific Research Project of Guangdong Province (A2021351); 

    Scientific Research Project of Guangdong Bureau of Traditional Chinese Medicine (20211250); 

    Guangzhou Medical Key Discipline Project (2021-2023);

     Key Clinical Specialty Project of Guangzhou Medical University ([2020]5)

摘要: 髓质海绵肾(MSK)是一种肾脏畸形,通常表现为肾钙质沉着症和复发性肾结石等,同时需要使用昂贵且耗时的静脉尿路造影(IVU)进行诊断。尽管IVU仍然是目前诊断MSK的金标准,但其他方法如多层螺旋CT(MDCT)、核磁共振成像(MRI)、乃至生物标志物正在迅速崛起,为MSK的早期检测和诊断提供了希望。本文对MSK最新的影像学检查、生物标志物的诊断方法进行综述。

关键词: 髓质海绵肾, 临床鉴别, 多层螺旋CT, 生物标志物, LAMA-2, CD-133

Abstract:  Medullary sponge kidney (MSK) is a kidney malformation, usually characterized by nephrocalcinosis and recurrent kidney stones, and requires an expensive and time-consuming intra-venous urography (IVU) for diagnosis. Although IVU is still the gold standard for diagnosing MSK, other methods such as multi-detector computed tomography (MDCT), magnetic resonance imaging (MRI), and even biomarkers are rapidly emerging, providing hope for early detection and diagnosis of MSK. In this paper, the latest imaging examination of MSK and the study of diagnostic methods of biomarkers are reviewed.

Key words: Medullary sponge kidney, Clinical identification, Multi-detector computed tomography, Biomarkers, LAMA-2, CD-133