Advanced search
Publication Cover
Diabetes, Metabolic Syndrome and Obesity Volume 16, 2023 - Issue
Submit an article Journal homepage
215
Views
0
CrossRef citations to date
0
Altmetric
ORIGINAL RESEARCH

Application of MR Imaging Characteristics in the Differentiation of Renal Changes Between Patients with Stage III Type 2 Diabetic Kidney Disease and Healthy People

Hao ZhangDepartment of Radiology, China-Japan Union Hospital of Jilin University, Changchun, 130021, People’s Republic of ChinaView further author information
,
Baoting YuDepartment of Radiology, China-Japan Union Hospital of Jilin University, Changchun, 130021, People’s Republic of ChinaView further author information
,
Hongsheng YangDepartment of Radiology, China-Japan Union Hospital of Jilin University, Changchun, 130021, People’s Republic of ChinaView further author information
,
Hongfei YingDepartment of Radiology, China-Japan Union Hospital of Jilin University, Changchun, 130021, People’s Republic of ChinaView further author information
,
Xiaolong QuDepartment of Radiology, China-Japan Union Hospital of Jilin University, Changchun, 130021, People’s Republic of ChinaView further author information
,
Lilan ZhuDepartment of Radiology, China-Japan Union Hospital of Jilin University, Changchun, 130021, People’s Republic of ChinaView further author information
,
Cong WangDepartment of Radiology, China-Japan Union Hospital of Jilin University, Changchun, 130021, People’s Republic of ChinaView further author information
&
Jun DingDepartment of Radiology, China-Japan Union Hospital of Jilin University, Changchun, 130021, People’s Republic of ChinaCorrespondence[email protected]
View further author information
 show all
Pages 2177-2186 | Received 07 Apr 2023, Accepted 08 Jul 2023, Published online: 24 Jul 2023

References

  • Zimmet PZ, Magliano DJ, Herman WH, et al. Diabetes: a 21st century challenge. Lancet Diabetes Endocrinol. 2014;2(1):56–64. doi:10.1016/S2213-8587(13)70112-8
  • Alicic RZ, Rooney MT, Tuttle KR. Diabetic kidney disease: challenges, progress, and possibilities. Clin J Am Soc Nephrol. 2017;12(12):2032–2045. doi:10.2215/CJN.11491116
  • Wild S, Roglic G, Green A, et al. Global prevalence of diabetes: estimates for the year 2000 and projections for 2030. Diabetes Care. 2004;27(5):1047–1053. doi:10.2337/diacare.27.5.1047
  • Molitch ME, Adler AI, Flyvbjerg A, et al. Diabetic kidney disease: a clinical update from kidney disease: improving global outcomes. Kidney Int. 2015;87(1):20–30. doi:10.1038/ki.2014.128
  • Lambin P, Rios-Velazquez E, Leijenaar R, et al. Radiomics: extracting more information from medical images using advanced feature analysis. Eur J Cancer. 2012;48(4):441–446. doi:10.1016/j.ejca.2011.11.036
  • Georgiev A, Chervenkov L, Doykov M, Doykova K, Uchikov P, Tsvetkova S. Surveillance value of apparent diffusion coefficient maps: multiparametric MRI in active surveillance of prostate cancer. Cancers. 2023;15(4):1128. PMID: 36831471; PMCID: PMC9953850. doi:10.3390/cancers15041128
  • Wang S, Jiang T, Hu X, et al. Can the combination of DWI and T2WI radiomics improve the diagnostic efficiency of cervical squamous cell carcinoma? Magn Reson Imaging. 2022;92:197–202. doi:10.1016/j.mri.2022.07.005
  • Mogensen CE, Schmitz A, Christensen CK. Comparative renal pathophysiology relevant to IDDM and NIDDM patients. Diabetes Metab Rev. 1988;4(5):453–483. PMID: 3061756. doi:10.1002/dmr.5610040504
  • Koo TK, Li MY. A guideline of selecting and reporting intraclass correlation coefficients for reliability research. J Chiropr Med. 2016;15(2):155–163. doi:10.1016/j.jcm.2016.02.012
  • Notohamiprodjo M, Reiser MF, Sourbron SP. Diffusion and perfusion of the kidney. Eur J Radiol. 2010;76(3):337–347. doi:10.1016/j.ejrad.2010.05.033
  • Rossi C, Artunc F, Martirosian P, et al. Histogram analysis of renal arterial spin labeling perfusion data reveals differences between volunteers and patients with mild chronic kidney disease. Invest Radiol. 2012;47(8):490–496. doi:10.1097/RLI.0b013e318257063a
  • Artz NS, Wentland AL, Sadowski EA, et al. Comparing kidney perfusion using noncontrast arterial spin labeling MRI and microsphere methods in an interventional swine model. Invest Radiol. 2011;46(2):124–131. doi:10.1097/RLI.0b013e3181f5e101
  • Warner L, Glockner JF, Woollard J, et al. Determinations of renal cortical and medullary oxygenation using blood oxygen level-dependent magnetic resonance imaging and selective diuretics. Invest Radiol. 2011;46(1):41–47. doi:10.1097/RLI.0b013e3181f0213f
  • Ebrahimi B, Gloviczki M, Woollard JR, et al. Compartmental analysis of renal BOLD MRI data: introduction and validation. Invest Radiol. 2012;47(3):175–182.
  • Prasad PV. Functional MRI of the kidney: tools for translational studies of pathophysiology of renal disease. Am J Physiol Renal Physiol. 2006;290(5):F958–74. doi:10.1152/ajprenal.00114.2005
  • Chandarana H, Lee VS. Renal functional MRI: are we ready for clinical application? AJR Am J Roentgenol. 2009;192(6):1550–1557. doi:10.2214/AJR.09.2390
  • Zhong Y, Utriainen D, Wang Y, et al. Automated white matter hyperintensity detection in multiple sclerosis using 3D T2 FLAIR. Int J Biomed Imaging. 2014;2014:239123. doi:10.1155/2014/239123
  • Song G, Li P, Wu R, et al. Development and validation of a high-resolution T2WI-based radiomic signature for the diagnosis of lymph node status within the mesorectum in rectal cancer. Front Oncol. 2022;12:945559. doi:10.3389/fonc.2022.945559
  • Wang S, Shi D, Zhang H, et al. Diagnosis of early diabetes nephropathy based on MR T2WI imaging histology. Chinese J Interv Imaging Ther. 2022;19(03):169–172.
  • Xu X, Fang W, Ling H, et al. Diffusion-weighted MR imaging of kidneys in patients with chronic kidney disease: initial study. Eur Radiol. 2010;20(4):978–983. doi:10.1007/s00330-009-1619-8
  • Xu Y, Wang X, Jiang X. Relationship between the renal apparent diffusion coefficient and glomerular filtration rate: preliminary experience. J Magn Reson Imaging. 2007;26(3):678–681. doi:10.1002/jmri.20979
  • Yu B, Huang C, Fan X, et al. Application of MR imaging features in differentiation of renal changes in patients with stage III type 2 diabetic nephropathy and normal subjects. Front Endocrinol. 2022;13:846407. doi:10.3389/fendo.2022.846407
  • Schrijvers BF, De Vriese AS, Flyvbjerg A. From hyperglycemia to diabetic kidney disease: the role of metabolic, hemodynamic, intracellular factors and growth factors/cytokines. Endocr Rev. 2004;25(6):971–1010. doi:10.1210/er.2003-0018

Related research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.