Noninvasive Assessment of Diabetic Kidney Disease with MRI: Hype or Hope?

被引:4
|
作者
Zhao, Kaixuan [2 ,3 ,4 ]
Seeliger, Erdmann [5 ]
Niendorf, Thoralf [6 ]
Liu, Zaiyi [1 ,3 ,4 ]
机构
[1] Southern Med Univ, Guangdong Prov Peoples Hosp, Guangdong Acad Med Sci, Dept Radiol, 106 Zhongshan Er Rd, Guangzhou 510080, Peoples R China
[2] Guangdong Prov Peoples Hosp, Guangdong Cardiovasc Inst, Guangdong Acad Med Sci, Guangzhou, Peoples R China
[3] Southern Med Univ, Guangdong Prov Peoples Hosp, Guangdong Acad Med Sci, Dept Radiol, Guangzhou, Peoples R China
[4] Guangdong Prov Peoples Hosp, Guangdong Acad Med Sci, Guangdong Prov Key Lab Artificial Intelligence Med, Guangzhou, Peoples R China
[5] Charite Univ Med Berlin, Inst Translat Physiol, Berlin, Germany
[6] Helmholtz Assoc, Max Delbrueck Ctr Mol Med, Berlin Ultrahigh Field Facil BUFF, Berlin, Germany
关键词
diabetic kidney disease; magnetic resonance imaging; data science; virtual biopsy; precision medicine; RENAL-FUNCTION; BOLD-MRI; BLOOD-FLOW; OXYGENATION; NEPHROPATHY; PERFUSION; INJURY; CLEARANCE; HYPOXIA; PROBES;
D O I
10.1002/jmri.29000
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
1002 ; 100207 ; 1009 ;
摘要
Owing to the increasing prevalence of diabetic mellitus, diabetic kidney disease (DKD) is presently the leading cause of chronic kidney disease and end-stage renal disease worldwide. Early identification and disease interception is of paramount clinical importance for DKD management. However, current diagnostic, disease monitoring and prognostic tools are not satisfactory, due to their low sensitivity, low specificity, or invasiveness. Magnetic resonance imaging (MRI) is noninvasive and offers a host of contrast mechanisms that are sensitive to pathophysiological changes and risk factors associated with DKD. MRI tissue characterization involves structural and functional information including renal morphology (kidney volume (TKV) and parenchyma thickness using T-1- or T-2-weighted MRI), renal microstructure (diffusion weighted imaging, DWI), renal tissue oxygenation (blood oxygenation level dependent MRI, BOLD), renal hemodynamics (arterial spin labeling and phase contrast MRI), fibrosis (DWI) and abdominal or perirenal fat fraction (Dixon MRI). Recent (pre)clinical studies demonstrated the feasibility and potential value of DKD evaluation with MRI. Recognizing this opportunity, this review outlines key concepts and current trends in renal MRI technology for furthering our understanding of the mechanisms underlying DKD and for supplementing clinical decision-making in DKD. Progress in preclinical MRI of DKD is surveyed, and challenges for clinical translation of renal MRI are discussed. Future directions of DKD assessment and renal tissue characterization with (multi)parametric MRI are explored. Opportunities for discovery and clinical break-through are discussed including biological validation of the MRI findings, large-scale population studies, standardization of DKD protocols, the synergistic connection with data science to advance comprehensive texture analysis, and the development of smart and automatic data analysis and data visualization tools to further the concepts of virtual biopsy and personalized DKD precision medicine. We hope that this review will convey this vision and inspire the reader to become pioneers in noninvasive assessment and management of DKD with MRI.
引用
收藏
页码:1494 / 1513
页数:20
相关论文
共 50 条
  • [41] Assessment and Management of Falling in Type 2 Diabetic Patients with Diabetic Kidney Disease
    Ikejima, Shin
    Takahashi, Tomomi
    Kondo, Seiya
    Umezu, Junko
    Uema, Mika
    Hirai, Aizan
    DIABETES, 2019, 68
  • [42] Noninvasive assessment of bone microarchitecture by MRI
    Ladinsky G.A.
    Wehrli F.W.
    Current Osteoporosis Reports, 2006, 4 (4) : 140 - 147
  • [43] Antioxidant supplements to prevent heart disease - Real hope or empty hype?
    Tran, TL
    POSTGRADUATE MEDICINE, 2001, 109 (01) : 109 - +
  • [44] ISCHEMIA Trial: A Hope or a Hype for Patients with Stable Coronary Artery Disease?
    Mathias, Isadora Sande
    Riaz, Haris
    AMERICAN JOURNAL OF MEDICINE, 2020, 133 (06): : E218 - E219
  • [45] Faecalibacterium Prausnitzii in Crohn's Disease: Hope or Hype? A Systematic Review
    Dave, Maneesh
    Gorospe, Emmanuel C.
    Luther, Jay
    GASTROENTEROLOGY, 2011, 140 (05) : S329 - S329
  • [46] Reading the Digital Tea Leaves Hope or Hype for Peripheral Artery Disease
    Bunte, Matthew C.
    Baron, Suzanne J.
    CIRCULATION-CARDIOVASCULAR INTERVENTIONS, 2020, 13 (10) : E010114
  • [47] Machine Learning Applications in Heart Failure Disease Management: Hype or Hope?
    Greenberg, Barry
    Brann, Alison
    Campagnari, Claudio
    Adler, Eric
    Yagil, Avi
    CURRENT TREATMENT OPTIONS IN CARDIOVASCULAR MEDICINE, 2021, 23 (06)
  • [48] Anticancer Drugs for Parkinson's Disease: Is It a Ray of Hope or Only Hype?
    Dash, Deepa
    Goyal, Vinay
    ANNALS OF INDIAN ACADEMY OF NEUROLOGY, 2019, 22 (01) : 13 - 16
  • [49] Machine Learning Applications in Heart Failure Disease Management: Hype or Hope?
    Barry Greenberg
    Alison Brann
    Claudio Campagnari
    Eric Adler
    Avi Yagil
    Current Treatment Options in Cardiovascular Medicine, 2021, 23 (6)
  • [50] Traditional Chinese Medicine (TCM) for fibrotic liver disease: Hope and Hype
    Zhang, Lijun
    Schuppan, Detlef
    JOURNAL OF HEPATOLOGY, 2014, 61 (01) : 166 - 168