Share:
Share this content in WeChat
X
Clinical Article
The value of T1 mapping combined with DWI in the early identification of renal interstitial fibrosis
KONG Xinyue  HUA Chenchen  ZHOU Leting  ZHUANG Yi  LIU Xiaobin  CAI Ting  WANG Liang 

Cite this article as: KONG X Y, HUA C C, ZHOU L T, et al. The value of T1 mapping combined with DWI in the early identification of renal interstitial fibrosis[J]. Chin J Magn Reson Imaging, 2024, 15(11): 96-102. DOI:10.12015/issn.1674-8034.2024.11.015.


[Abstract] Objective To explore the value of T1 mapping combined with diffusion-weighted imaging (DWI) in the early identification of renal interstitial fibrosis (IF).Materials and Methods A total of 38 patients with chronic kidney disease (CKD) and 20 healthy volunteers who received renal needle biopsy after evaluation by nephrologist were collected from January 2020 to December 2023 in Wuxi People's Hospital Affiliated to Nanjing Medical University. Serum creatinine (SCr) and estimated glomerular filtration rate (eGFR) were measured in all subjects. T1 mapping and DWI were performed at the same time, and T1 and ADC values of renal cortex and medulla were measured, respectively. According to the degree of interstitial damage in renal pathology, CKD patients were divided into CKD-IF0 group (7 cases) without interstitial fibrosis and IF1 group (31 cases) with mild interstitial fibrosis. Healthy volunteers were divided into control group (20 cases). Renal medullary T1 and ADC values in control group, CKD-IF0 group and IF1 group were compared. We analyzed the correlation between cutis medulla T1 and ADC values and eGFR, and further evaluated the efficacy of eGFR, cutis medulla T1 and ADC values in the diagnosis of renal interstitial fibrosis without and with mild fibrosis.Results (1) There were no significant differences in T1 and ADC values between control group and CKD-IF0 group (P>0.05). ADC values of cortex and medulla in control group were higher than those of IF1 group (P<0.05), and T1 values of control group were lower than those of IF1 group (P<0.05). The ADC values of cortex and medulla in CKD-IF0 group were higher than those in IF1 group (P<0.05), cT1 was lower than that in IF1 group (P<0.05), and there was no significant difference in mT1 between the two groups (P>0.05). (2) After the control group and CKD-IF0 were combined into IF0 group, the cortex and medulla T1 value of IF0 group was significantly lower than that of IF1 group (P<0.05), and the ADC value was significantly higher than that of IF1 group (P<0.05). (3) cT1 was negatively correlated with eGFR (ρ=-0.476, P<0.05), and cADC was positively correlated with eGFR (ρ=0.391, P<0.05). There was no significant correlation between mT1 and mADC and eGFR (P>0.05). (4) When eGFR, cT1, mT1, cADC and mADC were used separately to distinguish IF0 group and IF1 group, eGFR had the highest efficiency, with AUC of 0.861 [95% confidence interval (CI): 0.761-0.962], sensitivity of 80.6%, and specificity of 88.9%. When cT1 and cADC were combined, the efficiency of differentiation between IF0 group and IF1 group was further improved, with AUC of 0.912 (95% CI: 0.839-0.984), sensitivity of 83.9%, and specificity of 85.2%. When combined with eGFR, cT1 and cADC, the highest differential efficacy was achieved, with AUC of 0.963 (95% CI: 0.922-1.000), sensitivity of 87.1% and specificity of 96.3%.Conclusions T1 mapping combined with DWI can noninvasculatively and effectively identify renal interstitial fibrosis, and is expected to assist eGFR to further improve the ability of early identification of renal tissue and structure damage.
[Keywords] chronic kidney disease;renal interstitial fibrosis;magnetic resonance imaging;T1 mapping;diffusion weighted imaging;early identification

KONG Xinyue1   HUA Chenchen2   ZHOU Leting1   ZHUANG Yi3   LIU Xiaobin1   CAI Ting1   WANG Liang1*  

1 Department of Nephrology, the Affiliated Wuxi People's Hospital of Nanjing Medical University, Wuxi214023, China

2 Department of Radiology, the Affiliated Wuxi People's Hospital of Nanjing Medical University, Wuxi214023, China

3 Department of Radiology, the Affiliated Wuxi Children's Hospital of Jiangnan University, Wuxi214023, China

Corresponding author: WANG L, E-mail: wlwxsnk@163.com

Conflicts of interest   None.

Received  2024-07-17
Accepted  2024-11-10
DOI: 10.12015/issn.1674-8034.2024.11.015
Cite this article as: KONG X Y, HUA C C, ZHOU L T, et al. The value of T1 mapping combined with DWI in the early identification of renal interstitial fibrosis[J]. Chin J Magn Reson Imaging, 2024, 15(11): 96-102. DOI:10.12015/issn.1674-8034.2024.11.015.

[1]
KOVESDY C P. Epidemiology of chronic kidney disease: an update 2022[J]. Kidney Int Suppl, 2022, 12(1): 7-11. DOI: 10.1016/j.kisu.2021.11.003.
[2]
COCKWELL P, FISHER L A. The global burden of chronic kidney disease[J]. Lancet, 2020, 395(10225): 662-664. DOI: 10.1016/S0140-6736(19)32977-0.
[3]
SHLIPAK M G, TUMMALAPALLI S L, BOULWARE L E, et al. The case for early identification and intervention of chronic kidney disease: conclusions from a Kidney Disease: improving Global Outcomes (KDIGO) Controversies Conference[J]. Kidney Int, 2021, 99(1): 34-47. DOI: 10.1016/j.kint.2020.10.012.
[4]
RUIZ-ORTEGA M, RAYEGO-MATEOS S, LAMAS S, et al. Targeting the progression of chronic kidney disease[J]. Nat Rev Nephrol, 2020, 16(5): 269-288. DOI: 10.1038/s41581-019-0248-y.
[5]
REISS A B, JACOB B, ZUBAIR A, et al. Fibrosis in chronic kidney disease: pathophysiology and therapeutic targets[J/OL]. J Clin Med, 2024, 13(7): 1881 [2024-07-11]. https://pubmed.ncbi.nlm.nih.gov/38610646/. DOI: 10.3390/jcm13071881.
[6]
QUINN G Z, ABEDINI A, LIU H B, et al. Renal histologic analysis provides complementary information to kidney function measurement for patients with early diabetic or hypertensive disease[J]. J Am Soc Nephrol, 2021, 32(11): 2863-2876. DOI: 10.1681/ASN.2021010044.
[7]
LUCIANO R L, MOECKEL G W. Update on the native kidney biopsy: core curriculum 2019[J]. Am J Kidney Dis, 2019, 73(3): 404-415. DOI: 10.1053/j.ajkd.2018.10.011.
[8]
YUAN C Y, HE Q P, HUANG Y Y. Analysis of influencing factors of perirenal and subcapsular hematoma after ultrasound-guided percutaneous renal biopsy[J]. J Med Imag, 2023, 33(04): 719-721. DOI: 1006-9011(2023)04-0719-03.
[9]
BUCHANAN C E, MAHMOUD H, COX E F, et al. Quantitative assessment of renal structural and functional changes in chronic kidney disease using multi-parametric magnetic resonance imaging[J]. Nephrol Dial Transplant, 2020, 35(6): 955-964. DOI: 10.1093/ndt/gfz129.
[10]
HUA C C, QIU L, ZHOU L T, et al. Value of multiparametric magnetic resonance imaging for evaluating chronic kidney disease and renal fibrosis[J]. Eur Radiol, 2023, 33(8): 5211-5221. DOI: 10.1007/s00330-023-09674-1.
[11]
FRANCIS S T, SELBY N M, TAAL M W. Magnetic resonance imaging to evaluate kidney structure, function, and pathology: moving toward clinical application[J]. Am J Kidney Dis, 2023, 82(4): 491-504. DOI: 10.1053/j.ajkd.2023.02.007.
[12]
CAROLI A, SCHNEIDER M, FRIEDLI I, et al. Diffusion-weighted magnetic resonance imaging to assess diffuse renal pathology: a systematic review and statement paper[J/OL]. Nephrol Dial Transplant, 2018, 33(suppl_2): ii29-ii40 [2024-07-11]. https://pubmed.ncbi.nlm.nih.gov/30137580/. DOI: 10.1093/ndt/gfy163.
[13]
MAO W, ZHOU J J, ZENG M S, et al. Intravoxel incoherent motion diffusion-weighted imaging for the assessment of renal fibrosis of chronic kidney disease: a preliminary study[J]. Magn Reson Imaging, 2018, 47: 118-124. DOI: 10.1016/j.mri.2017.12.010.
[14]
ALABED S, SAUNDERS L, GARG P, et al. Myocardial T1-mapping and extracellular volume in pulmonary arterial hypertension: a systematic review and meta-analysis[J]. Magn Reson Imaging, 2021, 79: 66-75. DOI: 10.1016/j.mri.2021.03.011.
[15]
UGANDER M. Exercise CMR T1 mapping for myocardial ischemia testing: No gad, No drugs, No problem?[J]. JACC Cardiovasc Imaging, 2020, 13(3): 681-683. DOI: 10.1016/j.jcmg.2019.06.005.
[16]
WANG Q, LIU H F, ZHU Z H, et al. Feasibility of T1 mapping with histogram analysis for the diagnosis and staging of liver fibrosis: Preclinical results[J]. Magn Reson Imaging, 2021, 76: 79-86. DOI: 10.1016/j.mri.2020.11.006.
[17]
FRIEDLI I, CROWE L A, BERCHTOLD L, et al. New magnetic resonance imaging index for renal fibrosis assessment: a comparison between diffusion-weighted imaging and T1 mapping with histological validation[J/OL]. Sci Rep, 2016, 6: 30088 [2024-06-25]. https://pubmed.ncbi.nlm.nih.gov/27439482/. DOI: 10.1038/srep30088.
[18]
GRAHAM-BROWN M P, SINGH A, WORMLEIGHTON J, et al. Association between native T1 mapping of the kidney and renal fibrosis in patients with IgA nephropathy[J/OL]. BMC Nephrol, 2019, 20(1): 256 [2024-06-25]. https://pubmed.ncbi.nlm.nih.gov/31296183/. DOI: 10.1186/s12882-019-1447-2.
[19]
WANG Y, JU Y, BU X M, et al. The diagnostic value of T1 mapping and APTw imaging in chronic kidney disease[J]. Chin J Magn Reson Imag, 2023, 14(2): 56-60, 67. DOI: 10.12015/issn.1674-8034.2023.02.010.
[20]
SHI Z Y, SUN C, ZHOU F, et al. Native T1-mapping as a predictor of progressive renal function decline in chronic kidney disease patients[J/OL]. BMC Nephrol, 2024, 25(1): 121 [2024-06-20]. https://pubmed.ncbi.nlm.nih.gov/38575883/. DOI: 10.1186/s12882-024-03559-1.
[21]
SUO LANG N M, MAO W, ZENG M S, et al. The value of T1-mapping to evaluate renal function injury in chronic kidney disease[J]. Radiol Pract, 2023, 38(8): 1039-1043. DOI: 10.13609/j.cnki.1000-0313.2023.08.014.
[22]
SELBY N M, BLANKESTIJN P J, BOOR P, et al. Magnetic resonance imaging biomarkers for chronic kidney disease: a position paper from the European Cooperation in Science and Technology Action PARENCHIMA[J/OL]. Nephrol Dial Transplant, 2018, 33(suppl_2): ii4-ii14 [2024-05-28]. https://pubmed.ncbi.nlm.nih.gov/30137584/. DOI: 10.1093/ndt/gfy152.
[23]
KIDNEY DISEASE: IMPROVING GLOBAL OUTCOMES DIABETES WORK GROUP. KDIGO 2022 clinical practice guideline for diabetes management in chronic kidney disease[J/OL]. Kidney Int, 2022, 102(5S): S1-S127 [2024-06-10]. https://pubmed.ncbi.nlm.nih.gov/36272764/. DOI: 10.1016/j.kint.2022.06.008.
[24]
LEVEY A S, STEVENS L A, SCHMID C H, et al. A new equation to estimate glomerular filtration rate[J]. Ann Intern Med, 2009, 150(9): 604-612. DOI: 10.7326/0003-4819-150-9-200905050-00006.
[25]
WEI C G, ZENG Y, ZHANG R, et al. Native T1 mapping for non-invasive quantitative evaluation of renal function and renal fibrosis in patients with chronic kidney disease[J]. Quant Imaging Med Surg, 2023, 13(8): 5058-5071. DOI: 10.21037/qims-22-1304.
[26]
MARIANI L H, MARTINI S, BARISONI L, et al. Interstitial fibrosis scored on whole-slide digital imaging of kidney biopsies is a predictor of outcome in proteinuric glomerulopathies[J]. Nephrol Dial Transplant, 2018, 33(2): 310-318. DOI: 10.1093/ndt/gfw443.
[27]
LI Q H, LI J N, ZHANG L, et al. Diffusion-weighted imaging in assessing renal pathology of chronic kidney disease: A preliminary clinical study[J]. Eur J Radiol, 2014, 83(5): 756-762. DOI: 10.1016/j.ejrad.2014.01.024.
[28]
DILLMAN J R, BENOIT S W, GANDHI D B, et al. Multiparametric quantitative renal MRI in children and young adults: comparison between healthy individuals and patients with chronic kidney disease[J]. Abdom Radiol (NY), 2022, 47(5): 1840-1852. DOI: 10.1007/s00261-022-03456-x.
[29]
MORA-GUTIÉRREZ J M, FERNÁNDEZ-SEARA M A, ECHEVERRIA-CHASCO R, et al. Perspectives on the role of magnetic resonance imaging (MRI) for noninvasive evaluation of diabetic kidney disease[J/OL]. J Clin Med, 2021, 10(11): 2461 [2024-06-10]. https://pubmed.ncbi.nlm.nih.gov/36272764/. DOI: 10.3390/jcm10112461.
[30]
ALNAZER I, BOURDON P, URRUTY T, et al. Recent advances in medical image processing for the evaluation of chronic kidney disease[J/OL]. Med Image Anal, 2021, 69: 101960 [2024-05-13]. https://pubmed.ncbi.nlm.nih.gov/33517241/. DOI: 10.1016/j.media.2021.101960.
[31]
GBD CHRONIC KIDNEY DISEASE COLLABORATION. Global, regional, and national burden of chronic kidney disease, 1990-2017: a systematic analysis for the Global Burden of Disease Study 2017[J]. Lancet, 2020, 395(10225): 709-733. DOI: 10.1016/S0140-6736(20)30045-3.
[32]
DEKKERS I A, PAIMAN E H M, DE VRIES A P J, et al. Reproducibility of native T1 mapping for renal tissue characterization at 3T[J]. J Magn Reson Imaging, 2019, 49(2): 588-596. DOI: 10.1002/jmri.26207.

PREV Clinical value of apparent diffusion coefficient in predicting distant metastasis in hepatic alveolar echinococcosis
NEXT Value of MRI combining with clinical indicators in optimizing the risk stratification of O-RADS MRI Score 4
  



Tel & Fax: +8610-67113815    E-mail: editor@cjmri.cn