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Study on the correlation between APT and mDixon-Quant in the right renal cortex and medulla of patients with chronic kidney disease
WANG Yue  LIU Ailian  JU Ye  DU Changyu  JIANG Haoyang  QI Lingli  BU Xinmiao  HU Wenjun  WANG Nan  WANG Jiazheng 

Cite this article as: Wang Y, Liu AL, Ju Y, et al. Study on the correlation between APT and mDixon-Quant in the right renal cortex and medulla of patients with chronic kidney disease[J]. Chin J Magn Reson Imaging, 2022, 13(3): 71-75. DOI:10.12015/issn.1674-8034.2022.03.014.


[Abstract] Objective To explore the correlation between amide proton transfer (APT) value of right renal cortex and medulla and R2* value and fat fraction (FF) value of mDixon-Quant sequence in patients with chronic kidney disease (CKD).Materials and Methods From Aug 2019 to Oct 2020, 30 patients with CKD (15 females and 15 males) who had undergone magnetic resonance examination on a 3.0 T MR scanner (Ingenia CX, Philips, Poland) were enrolled. They were divided into mild renal damage group (14 cases) and severe renal damage group (16 cases) according to estimation of glomerular filtration rate (eGFR), and 22 healthy volunteers were enrolled as control group. Import all the original images into ISP workstation to generate pseudo-color images. Select three positions from the upper, middle and lower parts of kidney, then place ROIs in cortex and medulla, with an area of about 10-20 mm2, avoiding renal sinus, great vessels and perirenal tissues. SPSS 26.0 was used for statistical analysis of the data. When the data did not conform to normal distribution, Spearman test was used to test the correlation between APT values of cortex and medulla and R2*, FF values of each group. P<0.05 was statistically significant.Results There was a positive correlation between APT and FF values in the cortex of patients with severe renal impairment (P<0.05). There was no correlation between medullary APT values and R2* values. APT values of cortex or medulla had no correlation with R2* and FF values in healthy volunteers and patients with mild renal impairment.Conclusions APT values in renal cortex of patients with severe renal impairment due to CKD is positively correlated with FF values of mDixon-Quant sequence, which can reflect the relationship among protein metabolism, acid-base environment and lipid deposition in renal tissue in different views, which had a potential clinical value of assessing the degree of renal damage in CKD.
[Keywords] amide proton transfer;mDixon-Quant;chronic kidney disease;R2*;fat fraction;renal damage;correlation

WANG Yue1, 2   LIU Ailian1, 2*   JU Ye1, 2   DU Changyu3   JIANG Haoyang3   QI Lingli3   BU Xinmiao1, 2   HU Wenjun1, 2   WANG Nan1, 2   WANG Jiazheng4  

1 Department of Radiology, the First Affiliated Hospital of Dalian Medical University, Dalian 116011, China

2 Dalian Medical Imaging Artificial Intelligence Engineering Technology Research Center, Dalian 116011, China

3 Dalian Medical University, Dalian 116044, China

4 Philips Healthcare, Shanghai 200040, China

Liu AL, E-mail: cjr.liuailian@vip.163.com

Conflicts of interest   None.

Received  2021-07-30
Accepted  2022-03-01
DOI: 10.12015/issn.1674-8034.2022.03.014
Cite this article as: Wang Y, Liu AL, Ju Y, et al. Study on the correlation between APT and mDixon-Quant in the right renal cortex and medulla of patients with chronic kidney disease[J]. Chin J Magn Reson Imaging, 2022, 13(3): 71-75.DOI:10.12015/issn.1674-8034.2022.03.014

[1]
Wu YH, Hu PX, Xiao XP, et al. Research status of virtual touch tissue quantification in diagnosis of the chronic kidney disease[J]. Chin Imaging J Integr Tradit West Med, 2018, 16(3): 315-318. DOI: 10.3969/j.issn.1672-0512.2018.03.031.
[2]
Alnazer I, Bourdon P, Urruty T, et al. Recent advances in medical image processing for the evaluation of chronic kidney disease[J]. Med Image Anal, 2021, 69: 101960. DOI: 10.1016/j.media.2021.101960.
[3]
Akbari A, Clase CM, Acott P, et al. Canadian Society of Nephrology commentary on the KDIGO clinical practice guideline for CKD evaluation and management[J]. Am J Kidney Dis, 2015, 65(2): 177-205. DOI: 10.1053/j.ajkd.2014.10.013.
[4]
Fu S, Li XN. The research development of formulas for calculating glomerular filtration rate: from Cockcroft-Gault formula to full age spectrum(FAS) formula[J]. J Clin Nephrol, 2020, 20(1): 73-77.
[5]
Levey AS. A decade after the KDOQI CKD guidelines[J]. Am J Kidney Dis, 2012, 60(5): 683-685. DOI: 10.1053/j.ajkd.2012.08.019.
[6]
Berardo S, Sukhovei L, Andorno S, et al. Quantitative bone marrow magnetic resonance imaging through apparent diffusion coefficient and fat fraction in multiple myeloma patients[J]. Radiol Med, 2021, 126(3): 445-452. DOI: 10.1007/s11547-020-01258-z.
[7]
Yang F, Li QL, Wen HQ, et al. Quantification of penile fat infiltration using the mDixon Quant sequence: a pilot study on the correlation with penis hardness and erectile dysfunction[J]. Br J Radiol, 2021, 94(1123): 20201400. DOI: 10.1259/bjr.20201400.
[8]
Zhang Y, Yu AH, Yan Dong, et al. Application of MR mDIXON-quant technique in accurate quantification of liver fat content in type 2 diabetic patients with nonalcoholic fatty liver disease[J]. Radiol Pract, 2017, 32(5): 451-455. DOI: 10.13609/j.cnki.1000-0313.2017.05.005.
[9]
Chang FX, Huang G, Fan DH, et al. Measurement of fat content in vertebral body by magnetic resonance water fat separation[J]. Chin J Magn Reson Imaging, 2016, 7(12): 902-908. DOI: 10.12015/issn.1674-8034.2016.12.003.
[10]
Zhou JY, Heo HY, Knutsson L, et al. APT-weighted MRI: Techniques, current neuro applications, and challenging issues[J]. J Magn Reson Imaging, 2019, 50(2): 347-364. DOI: 10.1002/jmri.26645.
[11]
Sun PZ, Xiao G, Zhou IY, et al. A method for accurate pH mapping with chemical exchange saturation transfer (CEST) MRI[J]. Contrast Media Mol Imaging, 2016, 11(3): 195-202. DOI: 10.1002/cmmi.1680.
[12]
Wang RR, Li QL, Tian WW, et al. Application situation and progress of amide proton transfer imaging in central nervous system[J]. Chin J Magn Reson Imaging, 2020, 11(12): 1194-1197. DOI: 10.12015/issn.1674-8034.2020.12.027.
[13]
Meng X, Chen LH, Shen ZW, et al. Value of amide proton metastasis imaging in the differentiation of endometrial carcinoma and endometrial polyp [J]. Chin J Med Imaging, 2021, 29(3): 264-265, 270. DOI: 10.3969/j.issn.1005-5185.2021.03.019.
[14]
Wang N, Liu AL, Song QW, et al. 3D amide proton transfer imaging of kidney:a feasibility study[J]. J Pract Radiol, 2021, 37(12): 2022-2026. DOI: 10.3969/j.issn.1002-1671.2021.12.023.
[15]
Ju Y, Liu AL, Wang Y, et al. Amide proton transfer magnetic resonance imaging to evaluate renal impairment in patients with chronic kidney disease[J]. Magn Reson Imaging, 2022, 87: 177-182. DOI: 10.1016/j.mri.2021.11.015.
[16]
Yokoo T, Clark HR, Pedrosa I, et al. Quantification of renal steatosis in type II diabetes mellitus using Dixon-based MRI[J]. J Magn Reson Imaging, 2016, 44(5): 1312-1319. DOI: 10.1002/jmri.25252.
[17]
Wang YC, Feng YL, Lu CQ, et al. Renal fat fraction and diffusion tensor imaging in patients with early-stage diabetic nephropathy[J]. Eur Radiol, 2018, 28(8): 3326-3334. DOI: 10.1007/s00330-017-5298-6.
[18]
Kowal-Bielecka O, Fransen J, Avouac J, et al. Update of EULAR recommendations for the treatment of systemic sclerosis[J]. Ann Rheum Dis, 2017, 76(8): 1327-1339. DOI: 10.1136/annrheumdis-2016-209909.
[19]
Gai ZB, Wang TQ, Visentin M, et al. Lipid accumulation and chronic kidney disease[J]. Nutrients, 2019, 11(4): 722. DOI: 10.3390/nu11040722.
[20]
Susztak K, Ciccone E, McCue P, et al. Multiple metabolic hits converge on CD36 as novel mediator of tubular epithelial apoptosis in diabetic nephropathy[J]. PLoS Med, 2005, 2(2): e45. DOI: 10.1371/journal.pmed.0020045.
[21]
Herman-Edelstein M, Scherzer P, Tobar A, et al. Altered renal lipid metabolism and renal lipid accumulation in human diabetic nephropathy[J]. J Lipid Res, 2014, 55(3): 561-572. DOI: 10.1194/jlr.P040501.
[22]
Zheng SS, Gao ZY, Song SS, et al. Assessment of urinary microalbumin and oxygenation in diabetic patients using blood oxygenation level-dependent MRI[J]. J Cap Med Univ, 2021, 42(1): 125-130. DOI: 10.3969/j.issn.1006-7795.2021.01.021].
[23]
Li CX, Liu HT, Li X, et al. Application of BOLD-MRI in the classification of renal function in chronic kidney disease[J]. Abdom Radiol (NY), 2019, 44(2): 604-611. DOI: 10.1007/s00261-018-1750-6.
[24]
Li Q, Zhang Q, Sun HR, et al. Preliminary study of biexponential model of diffusion weighted imaging in evaluation of chronic kidney disease[J]. J Clin Radiol, 2012, 31(7): 970-974. DOI: 10.13437/j.cnki.jcr.2012.07.004.
[25]
Sekula P, Dettmer K, Vogl FC, et al. From discovery to translation: characterization of C-mannosyltryptophan and pseudouridine as markers of kidney function[J]. Sci Rep, 2017, 7(1): 17400. DOI: 10.1038/s41598-017-17107-5.

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