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Characteristics of diffusion-weighted and blood oxygen level-dependent magnetic resonance imaging in Tubulointerstitial nephritis: an initial experience

BMC Nephrology volume 22, Article number: 237 (2021) Cite this article

Abstract

Background

Diffusion-weighted (DW) and blood oxygen level-dependent (BOLD) magnetic resonance imaging are classical sequences of functional MR, but the exploration in non-transplanted kidney disease is limited. Objects: To analyze the characteristics of apparent diffusion coefficient (ADC) and R2* value using DW and BOLD imaging in tubulointerstitial nephritis (TIN).

Methods

Four acute TIN, thirteen chronic TIN patients, and four controls were enrolled. We used multiple gradient-echo sequences to acquire 12 T2*-weighted images to calculate the R2* map. DW imaging acquired ADC values by combining a single-shot spin-echo echo-planar imaging pulse sequence and the additional motion probing gradient pulses along the x,y, z-axes with two b values:0 and 200, as well as 0 and 800 s/mm2. ATIN patients performed DW and BOLD magnetic resonance at renal biopsy(T0) and the third month(T3). We assessed the pathological changes semiquantitatively, and conducted correlation analyses within functional MR, pathological and clinical indexes.

Results

In ATIN, ADCs were significantly lower(b was 0,200 s/mm2, 2.86 ± 0.19 vs. 3.39 ± 0.11, b was 0,800 s/mm2, 1.76 ± 0.12 vs. 2.16 ± 0.08, P < 0.05) than controls, showing an obvious remission at T3. Cortical and medullary R2* values (CR2*,MR2*) were decreased, significant difference was only observed in MR2*(T0 24.3 ± 2.1vs.T3 33.1 ± 4.1,P < 0.05). No relationship was found between functional MR and histopathological indexes.MR2* had a close relationship with eGFR (R = 0.682,P = 0.001) and serum creatinine(R = -0.502,P = 0.012). Patients with lower ADC when b was 0,200 s/mm2 showed more increase of ADC(R = -0.956,P = 0.044) and MR2*(R = -0.949,P = 0.05) after therapy. In CTIN group, lowered MR2* and MR2*/CR2* provided evidence of intrarenal ischemia. CTIN with advanced CKD (eGFR< 45) had significantly lower ADCb200 value.

Conclusions

We observed the reduction and remission of ADC and R2* values in ATIN case series. ATIN patients had concurrently decreased ADCb800 and MR2*. The pseudo normalization of CR2* with persistently low MR2* in CTIN suggested intrarenal hypoxia.

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Background

Functional magnetic resonance (fMR) imaging has recently grown to be a useful tool to evaluate real-time renal function [1]. The functional MR sequences mainly include blood oxygen level-dependent (BOLD), diffusion-weighted (DW) imaging, arterial labeling perfusion, and dynamic contrast-enhanced imaging. They provide information about diffusion, perfusion, and oxygenation of kidneys besides morphological parameters. In acute kidney injury (AKI) and chronic kidney disease (CKD), these novel techniques have been proposed as promising markers for diagnosis and provide insight into the pathophysiology of kidney disease [2,3,4,5,6,7]. In the field of kidney transplantation, fMR is recommended as a tool for early differential diagnosis of graft dysfunction [8, 9]. Researches with fMR were exploratory in animal models and some human observational studies of AKI [10,11,12], and in CKD patients trying to compare fMR parameters with renal pathological index [3, 10]. By contrast, fMR imaging’s role against pathological findings on non-transplantation human kidney diseases remains poorly understood.

DW and BOLD from magnetic resonance imaging are early used techniques. The total apparent diffusion coefficient (ADC) yielded from DW MR images is influenced by pure diffusion and perfusion-dependent diffusion in the low diffusion weighting (b-value) range. It is regarded as a marker sensitive to alterations in the interstitium, for example, interstitial edema with inflammatory cells infiltration or fibrosis, perfusion, and water handling in the tubular compartment. DW magnetic resonance imaging (MRI) helps diagnose acute renal transplant dysfunction [13]. The ADC value declined with the severity of renal dysfunction and a degree of renal fibrosis after prerenal ischemia-induced AKI [14]. But in another earlier study by Inoue T et al. [15], they found that neither ADC values nor T2* values correlated with eGFR in AKI. One possible explanation is that they enrolled complicated pathological types of AKI, including prerenal AKI, acute interstitial nephritis, and glomerulonephritis. Also, studies of ADC values in CKD got conflicting results relating to fibrosis [11].

BOLD MRI provides an index for deoxyhemoglobin levels within a defined volume of tissue (R2*), which was demonstrated to effectively assess changes in intrarenal oxygenation by measuring the R2* levels of the renal cortex and medulla [10]. The evolution of R2* pre-and post-furosemide injection (renal tubular response to furosemide, evaluated by the furosemide-induced suppression of oxygen consumption, FSOC) was related to impaired renal function [16], being able to make a differentiation between kidneys with preserved tubular function and tubular dysfunction. Li et al. observed the immediate increase in R2* in the renal inner stripe of the outer medulla after the injection of contrast agent, suggesting that hypoperfusion probably induced renal hypoxia [17], and BOLD MRI served as a sensitive method for early detection of contrast-induced AKI. Researchers found renal medullary R2* was decreased after furosemide injection In CKD patients with renovascular stenosis due to reduced oxygen consumption of tubular Na-K transporter working [18]. While in another report, renal BOLD MR imaging was found not to reflect renal function in CKD [19]. Some researchers recommend direct methods such as phase-contrast MRI to measure renal artery blood flow (RBF) as a surrogate for BOLD. But previous analysis [20] failed to demonstrate associations between R2* and RBF or sodium absorption, the correlation to RBF was poor, especially in advanced CKD with lower GFR [21]. Therefore, BOLD MRI still has its clinical value in the detection of oxygenation and renal dysfunction.

The pathogenesis of tubulointerstitial nephritis (TIN) lies in damage of tubules, changes of inflammation, edema, or subsequent fibrosis involving corresponding interstitial regions, and following regulation of intrarenal microcirculation. At the same time, glomeruli are initially intact [22]. Besides, tubulointerstitial changes after kinds of glomerular diseases also play a crucial role in disease progression. Therefore, TIN is a perfect disease model for the preliminary study of fMR characteristics in kidney diseases with varied pathological types. The study aimed to observe BOLD and DW magnetic resonance imaging characteristics in patients with acute and chronic tubulointerstitial nephritis.

Methods

Patients

Our study included acute tubulointerstitial nephritis (ATIN), chronic tubulointerstitial nephritis (CTIN), and healthy control in a 1: 2: 1 ratio from Jan 2008 to Jan 2009. ATIN patients were included if they (a) were adults diagnosed with biopsy-proven ATIN, (b) were capable of undergoing fMR examination three days within percutaneous renal biopsy, (c) had no signs of other kidney diseases both clinically and pathologically. CTIN patients were selected from our specialty clinic for all-cause tubulointerstitial nephritis (TIN) diseases. Patients were included if they (a) were adults clinically diagnosed with CTIN, (b) clinically had no signs of other kidney diseases and been followed up for more than one year, (c) with a stable serum creatinine level at CKD stage 2–5 [23] and well-controlled hemoglobin level in the recent three months. Healthy volunteers were recruited if they (a) were adults with no history of renal or cardiac diseases and (b) had average serum creatinine concentrations one week before MR scanning. Patients with renal malignancy, malformation, and history of partial nephrectomy were excluded from the study. Patients were required not to use diuretics one week before fMR imaging. ATIN patients performed serum creatinine (SCr) and hemoglobulin routinely for six months (T6). BOLD and DW imaging was carried out at renal biopsy(T0) and the third month after therapy (T3).

This prospective study was complied with the declaration of Helsinki and approved by the Human Ethics Committee of Peking University First Hospital. All subjects provided written informed consent and were compatible with MR scanning.

MR imaging

All patients underwent MR imaging with a 3.0-T MR scanner (General Electric Medical Systems, Milwaukee, WI, USA). A multiple gradient-echo (mGRE) sequence was used to acquire 12 T2*-weighted images to calculate the R2* map. The parameters of sequence were as follows: TR/TE/Flip angle/BW/matrix/ thickness/gap = 100 ms/6.7–32.1 ms(12echoes)/450/31.3 kHz/128 × 96/5 mm/1 mm.NEX = 1 and five to 6 axial slices were acquired within one breath-hold 24 s. DW imaging was acquired by combining a single-shot spin-echo (SE) echo-planar imaging (EPI) pulse sequence and the additional motion probing gradient (MPG) pulses along the x, y, z-axes. The parameters were as follows: TR/TE/BW/matrix = 2300 ms/56.1 ms/250 kHz/128 × 128. NEX = 2 and the slice position were identical to the BOLD imaging by the “copy” function embedded in the MR scanner, which was scanned within 18 s. We used two different b value group:0 and 200 s/mm2 as well as 0 and 800 s/mm2. We acquired axial images for both BOLD and DW images.

Both R2* map and apparent diffusion coefficient ADC map were generated on an AW 4.2 workstation (General Electric Medical Systems, Milwaukee, WI, USA) using “Functool” software. The reader was blinded to the subject’s clinical information. At least eight regions of interest (ROIs), each area of which was at least 10 pixels, were carefully placed on the cortex and medulla on the corresponding anatomical template separately (using image of TE = 32.1 ms as a template), the measured slices covered most of the kidney. Because of the low resolution of the images, particularly in severe renal impairment patients, it was impossible to reliably discriminate between the cortex and the medulla, which meant that the ROIs could not be reliably placed. Hence it was only possible to calculate global ADCs for each kidney. The ROIs were manually delineated in the parenchyma of the kidneys. Both R2* and ADC values were read out on the corresponding R2* and ADC map (Figs. 1-2). The cortical R2* (CR2*), medullary R2* (MR2*), and global ADC of the kidneys were calculated separately for each side.

Fig. 1
figure 1

A: DWI image. B: The corresponding ADC diagram. The method of manual placement of ROI is used to outline the kidney on the anatomical map with DWI

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Fig. 2
figure 2

A: BOLD image anatomical template. B: The corresponding R2* figure. The manually placing ROI on the anatomical template is to place at least three ROI in the cortical medulla and read the corresponding R2* value on the corresponding R2* diagram

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Pathology

Renal tissues from four ATIN patients were handled routinely by Haemotoxylin-Eosin, Masson’s trichrome, periodic acid-Schiff, and periodic acid-silver methenamine staining for light microscopy examination. The tissue core was often obtained at depths of about 1 cm. The histopathological indexes included tubular injuries (tubular epithelial cells atrophy, vacuolar degeneration, brush border shedding, necrosis, and tubulitis) and interstitial changes (edema, inflammation, and fibrosis). Area and degree of tubular brush border shedding, atrophy, and interstitial change were semiquantitatively assessed as scores 1, 2, 3, and 4 correspondings to not, mild, moderate, and severe changes by two different pathologists referring to a modification of the Banff Working Classification [24, 25]. They were also blind to the clinical data. The activity index (AI) was the total score for tubular injuries, interstitial edema, and inflammatory infiltration. The chronicity index (CI) was the total of the scores for tubular atrophy and interstitial fibrosis.

Statistical analysis

Statistical analyses were performed using the software SPSS Version 20.0 (IBM Corp., Armonk, NY). Data were presented as the median and range. The non-parametric Kruskal-Wallis test analyzed differences between groups. Correlations were assessed according to the Pearson test for parametric data and the Spearman test for non-parametric data. The correlations between serum creatinine, eGFR, albuminuria, and the fMR parameters (kidney volume, ADC value, and R2* value) of all kidneys were determined. The correlations between pathological indexes and fMR parameters were also analyzed. A P-value less than 0.05 was defined as statistically significant.

Results

Clinical and pathological characteristics

There were 20 individuals recruited for this study, including 5 ATIN patients, 15 CTIN patients, and five healthy control. Four patients were excluded from the study because their fMR images’ quality was poor to be used (Fig. 3. flow chart). Thus, four patients with ATIN, thirteen patients with CTIN, and four healthy control were finally enrolled. The demographic and clinical data of the subjects are summarized in Table 1. The ATIN patients were 43.8 ± 19.4 years old, with an average of 52.0 ± 13.3 years old of CTIN patients. All the ATIN patients who experienced acute kidney injury (AKI) were defined using the Kidney Disease: Improving Global Outcomes (KDIGO) [26, 27] criteria and consensus report of the Acute Disease Quality Initiative 16 Workgroup. One patient was in AKI stage 1, two in AKI stage 2, and one in AKI stage 3. Renal pathology revealed that in ATIN kidneys, the glomeruli were relatively intact. Focal or diffuse tubular injuries, diffuse interstitial edema, and mononuclear cell infiltration were predominant pathological findings (Fig. 4). The activity index was averaged 12.8 ± 3.3, with the chronicity index 3.5 ± 0.6. Increased urinary albumin was at an average of 102.0 ± 65.9 mg/L. The Scr level was 112 ~ 401 μmol/l (217.4 ± 126.4 μmol/l, eGFR 37.4 ± 31.5 ml/min/1.73m2) at renal biopsy, and gradually declined to average level after short-term steroids administration during the following three months, the eGFR was averaged 66.6 ± 31.2 ml/min, 74.4 ± 41.1 ml/min at the third (T3) and sixth month (T6). The hemoglobulin of ATIN patients was 99.0 ± 13.4 g/L initially and corrected to 129.0 ± 13.2 g/L.

Fig. 3
figure 3

The flowchart of the study

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Table 1 Laboratory and fMR data of ATIN and CTIN kidneys
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Fig. 4
figure 4

Pathological pictures of ATIN and normal kidney (all HE staining). A: example 1, magnification 100xdexB: case 2, magnification × 400 × C: case 3, magnification × 200. From A to C, ATIN showed exfoliated brush margin of renal tubules, dilated lumen, diffuse edema of the renal interstitium, multifocal or diffuse (C) lymphoid and monocytes infiltration, and eosinophils infiltration. There were no obvious pathological changes in glomeruli and arterioles. Fig. D shows normal kidney, magnification × 100: glomeruli and tubules are normal

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Thirteen patients with CTIN were enrolled from our out-patient specialty for tubulointerstitial nephritis under integrative supportive therapy for CKD. The renal function was stable the recent three months before MR imaging. Patients were in CKD stage 2 ~ 5 non-dialysis, whose eGFRs were averaged 34.7 ± 21.9 ml/min (Scr 102 ~ 526 μmol/l). Urinary albumin was 30.0 ± 17.5 mg/L. Renal anemia of CTIN patients had already been corrected to 126.8 ± 16.8 g/L, which was matchable with healthy control.

Functional MR imaging features

In control kidneys (Fig. 5), the outline was smooth, and there was a clear differentiation between renal cortex and medulla on T1-weighted SE and IR sequence. The average volume of kidneys was (144.6 ± 16.8) × 103 mm3. Global ADC values of DW imaging were 3.39 ± 0.11 and 2.16 ± 0.08, respectively, when the b value was 0, 200, or 0, 800 s/mm2. CR2* value yielded from BOLD MRI was 19.7 ± 2.1 Hz, which was lower than medulla [(33.1 ± 4.1) vs. (19.7 ± 2.1) Hz, p < 0.05]. Thus, the ratio of MR2* to CR2* was 1.68 ± 0.03.

Fig. 5
figure 5

MRI diagram of normal kidney. In the picture, A1 to A4 are T1WI, T2WI, DWI, and R2*, respectively. It can be seen that the demarcation of the epithelium and medulla on T1WI, T2WI, and R2 * maps is clear (3 points)

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In ATIN patients, swollen kidneys were observed (Fig. 6). The volume was (176.8 ± 82.8) × 103 mm3. ADC values were obtained in DWI both when b value was 0, 200 s/mm2 and 0, 800 s/mm2, and all were found to have significant decreases as 18.5, 15.6% respectively than the control group (Table 1, Figs. 7A-8B). We observed the obvious rising of decreased ADC values following renal function improvement to achieve a 93.5, 100% recovery in the third month (see Table 1). Both CR2* and MR2* values of ATIN kidneys were lowered than controls at renal biopsy; the difference was significant in MR2* values as 26.6% (difference in CR2* values was 10.7%). The MR2* values firstly went back to a level similar to control, while the CR2* values had not yet fully recovered (92.9% of control). The MR2* to CR2* ratio (M/CR2*) was 1.39 ± 0.13, 1.8 ± 0.52 respectively, in the acute and remission stage. For CTIN patients (Fig. 8), extremely atrophic kidneys with irregular outlines were found (Fig. 1). The volume was 89.0 ± 23.0 × 103 mm3. Both ADC values when b values 0, 200 s/mm2 and b value 0,800 s/mm2 were similar as healthy control. In the R2* map, MR2* values of CTIN kidneys were averaged 28.0 ± 5.0 Hz, which was lower than control, but the difference was not statistically significant. M/CR2* ratio was low as 1.32 ± 0.69.

Fig. 6
figure 6

ATIN kidney MRI diagram. In the picture, B1 to B4 are T1WI and T2WI DWI and R2* pictures, respectively. It can be seen that the corticomedullary boundary between T1WI and T2WI is OK (2 points). Compared with normal, the cortical area of the R2 * map is slightly irregular

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Fig. 7
figure 7

CTIN kidney MRI diagram. In the figure, C1 to C4 are T1WI and T2WIMagol DWI and R2* pictures, respectively. The epithelial medulla boundary of T1WI and T2WI could only be seen faintly (1 point). When compared with normal and ATIN, the epithelial medulla of R2 * was irregular

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Fig. 8
figure 8

The correlation analysis of DWI, BOLD parameters and eGFR

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Correlation analysis disclosed that neither ADC values nor R2* values correlated to histopathological indexes, including tubular injuries (tubular epithelial cells atrophy, vacuolar degeneration, brush border shedding, necrosis, and tubulitis) and interstitial changes (edema, inflammation, and fibrosis) when compared separately. We also found no relationship within ADC values, R2* values, AI and CI. It seems that ADC and R2* values changed along with that of renal function (Table 1) in ATIN kidneys, while a close relationship was identified only between MR2* values and eGFR (R = 0.8, P = 0.017), and Scr (R = -0.502, P = 0.012). The association was similar in CTIN patients (R = 0.615, P = 0.025) or all the TIN patients (R = 0.682, P = 0.001, Fig. 8F). There was also a correlation between M/CR2* and eGFR in the TIN (R = 0.659, P = 0.00), but differences were not significant within subgroups (Fig. 8C). ADCb800 was inversely correlated with albuminuria (R = -0.951, P = 0.001) in ATIN patients, while had no such relationship in CTIN. We noticed that significantly lowered ADCb200 values occurred in advanced CKD patients with eGFR< 45 ml/min (when compared with eGFR> 45 ml/min: 3.14 ± 0.30 vs. 3.66 ± 0.37, P < 0.05). We could figure out from Fig. 8E that ATIN kidneys having relatively lowest ADCb800 and MR2* (green dots), distinguished from other diseases. Further analysis revealed that ATIN Patients with lower ADCb200 were correlated with more ΔADCb200 (the increase of ADCb200 value over the following three months, R = -0.956, P = 0.044) and ΔMR2* (the increase of MR2* value over the following three months, R = -0.949, P = 0.05) after therapy. There was also a relationship between ΔADCb200 and ΔMR2* (R = 0.995, P = 0.005). However, renal prognosis analysis among candidate predictive markers showed no relationship between time-point ADC or R2* values and eGFR. But as MR2* has a significant correlation to eGFR and Scr levels, it was speculated that a lower ADCb200 value could predict the degree of ADC and MR2* recovery after therapy, which meant a better restoration of renal function.

Discussion

With MR techniques and clinical applications’ developments, it is possible to make a noninvasive assessment of renal pathology types by fMR imaging in patients with kidney diseases. However, at present, there is little evidence directly from kidney histopathology [28,29,30,31]. In this study, DW and BOLD MRI parameters of TIN kidneys were acquired and compared between ATIN and CTIN. We also provided sequential changes of fMR in the remission stage of ATIN. By analyzing the correlation of fMR parameters with critical pathological and clinical factors, we explore the potential significance of these novel techniques as noninvasive methods, contributing to pathological diagnosis and long-term prognosis assessment, which would enrich our understanding of tubular interstitial diseases.

Diffusion-weighted MR imaging generates the ADC value as an index reflecting the microenvironment of diffusing water molecules. It is considered a simple marker to reflect tissue microstructure. In renal dysfunction, tubular injuries lead to a reduced water reabsorption process resulting in decreased diffusion [32]. Factors involving microcapillary perfusion, the status of tissue edema, and fibrosis also theoretically dedicate to ADC. Xu Y et al. [33] reported that ADC values of impaired kidneys were significantly lower in a linear but positive correlation with eGFR in CKD patients with renal arterial stenosis. In diabetes nephropathy, ADC values positively correlated to eGFR values, inversely to clinical stages and urinary albumin excretion [34]. But in the AKI study mentioned above [15], neither ADC nor T2* values (R2* = 1/T2*) were correlated with eGFR. One possible explanation is that they enrolled complicated pathological types of AKI, including prerenal AKI, acute interstitial nephritis, and glomerulonephritis. In the current study, there were significantly decreased on initial stage but reversible changes of ADC values in remission (both b values) in ATIN patients self-pre-and post-therapy. The delayed recovery of ADC, especially when b was 0, 800 s/mm2 in the remission stage, meant that kidney injury was still in repair or left behind chronicity. The decrease of ADC (b was 0, 800 s/mm2) in CTIN patients was mild, suggesting its insensitivity to fibrosis. The finding relationship of albuminuria with ADCb800 shares the same view of previous studies [34, 35]. Only ADCb200 served as a factor determined by perfusion and interstitial changes, showed better recognition between mild and severe CKD (eGFR< 45) in our CTIN patients. This result was in line with a recently published study by Buchanan CE et al. [36] that ADC differed between low/high interstitial fibrosis groups at 30–40% fibrosis threshold in CKD. Combined action from concurrent tubular injuries, interstitial inflammation aggravated fibrosis, and intrarenal hypoperfusion in the process of CTIN make the change of ADC value more uncertain. It lacks sensitivity to distinguish edema from fibrosis.

As we have known, the R2* value of BOLD MR imaging has been regarded as a factor reflecting tissue oxygenation [30]. Intrarenal hypoxia contributes to the deterioration of CKD [37]. The changes in cortical oxygenation are usually influenced by nephrotoxicity and severe hemodynamic instability. In a rat model of Gentamycin-induced AKI, only CR2* was decreased while MR2* remained constant [38]. This is because gentamycin has direct nephrotoxicity to proximal tubular epithelial cells. The renal medulla is more vulnerable to hypoxia than the cortex because of low oxygen delivery due to low vascular density in the medulla, arterial-venous shunting, and high oxygen consumption for active transcellular transport of sodium in the thick ascending limb of the Henle loop (the target site of inhibitors of the sodium-potassium-chloride cotransporter). A study of the renal response to furosemide showed that medulla oxygenation was increased after furosemide injection while cortical and medullary perfusion remained constant [16]. Renal hypoperfusion leads to a more significant medullary oxygenation change than that of the cortex and medullary perfusion. In the present study, we revealed the close relationship between MR2* and eGFR. CR2* and MR2* were decreased and in remission simultaneously in ATIN, demonstrating that inflammation-relating tubular injury was diffusely distributed in the interstitium. The reduction of MR2* to CR2* ratio detected in ATIN and CTIN declared the involvement of ischemic factors leading to tubular injury. Interestingly, MR2* was persistently low against the “pseudo normalization” of CR2* with a declining M/CR2* ratio, indicated the existence of chronic intrarenal ischemia and hypoxia despite a relatively sufficient oxygen supply than consumption. Intrarenal hypoxia was later emphasized by Sugiyama K et al. that reduced oxygenation but not fibrosis defined by functional MRI predicts the long-term progression of CKD [39]. From the relationship shown in the scatter plot (Fig. 8E), we observed a concurrently lowered MR2* with ADCb800 in ATIN patients [15].

Our study’s limitation was the disability to get direct information on intrarenal perfusion. DW and BOLD imaging were the most frequently used fMR imaging techniques in human diseases. Combining these data and developing new strategies would provide more accurate methods to diagnose, assess, and evaluate the mechanism of diseases [28, 29]. A recent study reported that a combination of renal ADC and parenchymal volume could improve the renal function assessment in CKD [40]. This initial study had limited participants. It is considered more of a proof-of-concept study, limited to have a definite conclusion with these small numbers. One of the difficulties of patient recruitment in this study lies in that multiparameter sequence MR scanning is inevitably time-consuming. Furthermore, image quality was enormously influenced by poor respiratory cooperation, which restricts critically ill AKI patients. As a result, fewer patients were suitable for the study, and some patients enrolled were unable to meet the requirements of the study. To make up for these deficiencies, we tried to follow up with these patients and get comparable fMR parameters in the remission stage of ATIN, hoping to give the possible clinical significance of ADC and R2* values. Even so, it was necessary to recruit more participants to verify our results further.

Conclusions

This study observed significant reduction and remission of ADC values and R2* in the ATIN case series. The ADCb800 and MR2* were concurrently decreased. Thus, further sample recruitment is essential to verify the diagnosis significance of these functional MR parameters and test sensitivity. The pseudo normalization of CR2* with persistently lowered MR2* in CTIN provided evidence of intrarenal hypoxia.

Availability of data and materials

These patients were regularly followed up, and the clinical data is traceable. The datasets generated and analyzed during the current study are available from the corresponding author on reasonable request.

Abbreviations

MR:

magnetic resonance

fMR:

functional MR

DW:

diffuse weighted

BOLD:

Blood oxygen level-dependent

ADC:

global apparent diffusion coefficient

ATIN:

acute tubulointerstitial nephritis

CTIN:

chronic tubulointerstitial nephritis

CR2*:

cortical R2* values

MR2*:

medullary R2* values

M/CR2*:

the ratio of MR2* to CR2*

References

  1. Zhang JL, Rusinek H, Chandarana H, Lee VS. Functional MRI of the kidneys. J Magn Reson Imaging. 2013;37(2):282–93. https://doi.org/10.1002/jmri.23717.

    Article  PubMed  PubMed Central  Google Scholar 

  2. Prasad PV. Functional MRI of the kidney: tools for translational studies of pathophysiology of renal disease. Am J Physiol Ren Physiol. 2006;290:F958–74, 5. https://doi.org/10.1152/ajprenal.00114.2005.

    Article  CAS  Google Scholar 

  3. Caroli A, Schneider M, Friedli I, Ljimani A, De Seigneux S, Boor P, et al. Diffusion-weighted magnetic resonance imaging to assess diffuse renal pathology: a systematic review and statement paper. Nephrol Dial Transplant. 2018;33:ii29–40.

    Article  PubMed  PubMed Central  Google Scholar 

  4. Dong J, Yang L, Su T, Yang X, Chen B, Zhang J, et al. Quantitative assessment of acute kidney injury by noninvasive arterial spin labeling perfusion MRI: a pilot study. Sci China Life Sci. 2013;56(8):745–50. https://doi.org/10.1007/s11427-013-4503-3.

    Article  PubMed  Google Scholar 

  5. Zhou HY, Chen TW, Zhang XM. Functional magnetic resonance imaging in acute kidney injury: present status. Biomed Res Int. 2016;2016:2027370.

    PubMed  PubMed Central  Google Scholar 

  6. Mao W, Zhou J, Zeng M, Ding Y, Qu L, Chen C, et al. Chronic kidney disease: pathological and functional evaluation with intravoxel incoherent motion diffusion-weighted imaging. J Magn Reson Imaging. 2018;47:118–24. https://doi.org/10.1016/j.mri.2017.12.010.

    Article  Google Scholar 

  7. Wang ZJ, Kumar R, Banerjee S, Hsu CY. Blood oxygen level-dependent (BOLD) MRI of diabetic nephropathy: preliminary experience. J Magn Reson Imaging. 2011;33:655–60, 3. https://doi.org/10.1002/jmri.22501.

    Article  PubMed  PubMed Central  Google Scholar 

  8. Palmucci S, Mauro LA, Veroux P, Failla G, Milone P, Ettorre GC, et al. Magnetic resonance with diffusion-weighted imaging in the evaluation of transplanted kidneys: preliminary findings. Transplant Proc. 2011;43:960–6, 4. https://doi.org/10.1016/j.transproceed.2011.01.157.

    Article  CAS  PubMed  Google Scholar 

  9. Yamamoto A, Zhang JL, Rusinek H, Chandarana H, Vivier PH, Babb JS, et al. Quantitative evaluation of acute renal transplant dysfunction with low-dose three-dimensional MR renography. Radiology. 2011;260:781–9, 3. https://doi.org/10.1148/radiol.11101664.

    Article  PubMed  PubMed Central  Google Scholar 

  10. Tewes S, Gueler F, Chen R, Gutberlet M, Jang MS, Meier M, et al. Functional MRI for characterization of renal perfusion impairment and edema formation due to acute kidney injury in different mouse strains. PLoS One. 2017;12:1–18.

    Article  Google Scholar 

  11. Boor P, Perkuhn M, Weibrecht M, Zok S, Martin IV, Gieseke J, et al. Diffusion-weighted MRI does not reflect kidney fibrosis in a rat model of fibrosis. J Magn Reson Imaging. 2015;42:990–8, 4. https://doi.org/10.1002/jmri.24853.

    Article  PubMed  Google Scholar 

  12. Hofmann L, Simon-Zoula S, Nowak A, Giger A, Vock P, Boesch C, et al. BOLD-MRI for the assessment of renal oxygenation in humans: acute effect of nephrotoxic xenobiotics. Kidney Int. 2006;70:144–50, 1. https://doi.org/10.1038/sj.ki.5000418.

    Article  CAS  PubMed  Google Scholar 

  13. Steiger P, Barbieri S, Kruse A, Ith M, Thoeny HC. Selection for biopsy of kidney transplant patients by diffusion-weighted MRI. Eur Radiol. 2017;27:4336–44, 10. https://doi.org/10.1007/s00330-017-4814-z.

    Article  PubMed  Google Scholar 

  14. Hueper K, Rong S, Gutberlet M, Hartung D, Mengel M, Lu X, et al. T2 relaxation time and apparent diffusion coefficient for noninvasive assessment of renal pathology after acute kidney injury in mice: comparison with histopathology. Investig Radiol. 2013;48:834–42, 12. https://doi.org/10.1097/RLI.0b013e31829d0414.

    Article  CAS  Google Scholar 

  15. Inoue T, Kozawa E, Okada H, Inukai K, Watanabe S, Kikuta T, et al. Noninvasive evaluation of kidney hypoxia and fibrosis using magnetic resonance imaging. J Am Soc Nephrol. 2011;22:1429–34, 8. https://doi.org/10.1681/ASN.2010111143.

    Article  PubMed  PubMed Central  Google Scholar 

  16. Gomez SI, Warner L, Haas JA, Bolterman RJ, Textor SC, Lerman LO. Romero JC Increased hypoxia and reduced renal tubular response to furosemide detected by BOLD magnetic resonance imaging in swine renovascular hypertension. Am J Physiol Ren Physiol. 2009;297:F981–6, 4. https://doi.org/10.1152/ajprenal.90757.2008.

    Article  CAS  Google Scholar 

  17. Li LP, Lu J, Zhou Y, Papadopoulou MV, Franklin T, Bokhary U, et al. Evaluation of intrarenal oxygenation in iodinated contrast-induced acute kidney injury-susceptible rats by blood oxygen level-dependent magnetic resonance imaging. Investig Radiol. 2014;49:403–10, 6. https://doi.org/10.1097/RLI.0000000000000031.

    Article  CAS  Google Scholar 

  18. Gloviczki ML, Glockner J, Gomez SI, Romero JC, Lerman LO, McKusick M. Textor SC Comparison of 1.5 and 3 T BOLD MR to study oxygenation of kidney cortex and medulla in human renovascular disease. Investig Radiol. 2009;44:566–71, 9. https://doi.org/10.1097/RLI.0b013e3181b4c1e8.

    Article  CAS  Google Scholar 

  19. Michaely HJ, Metzger L, Haneder S, Hansmann J, Schoenberg SO, Attenberger UI. Renal BOLD-MRI does not reflect renal function in chronic kidney disease. Kidney Int. 2012;81:684–9, 7. https://doi.org/10.1038/ki.2011.455.

    Article  CAS  PubMed  Google Scholar 

  20. Khatir DS, Pedersen M, Jespersen B, Buus NH. Evaluation of renal blood flow and oxygenation in CKD using magnetic resonance imaging. Am J Kidney Dis. 2015;663:402–11.

    Article  Google Scholar 

  21. Abumoawad A, Saad A, Ferguson CM, Eirin A, Woollard JR, Herrmann SM, et al. Tissue hypoxia, inflammation, and loss of glomerular filtration rate in human atherosclerotic renovascular disease. Kidney Int. 2019;954:948–57.

    Article  Google Scholar 

  22. Su T, Gu Y, Sun P, Tang J, Wang S, Liu G, et al. Etiology and renal outcomes of acute tubulointerstitial nephritis: a single-center prospective cohort study in China. Nephrol Dial Transplant. 2018;33:1180–8, 7. https://doi.org/10.1093/ndt/gfx247.

    Article  CAS  PubMed  Google Scholar 

  23. Levey AS, Stevens LA, Schmid CH, Zhang YL, Castro AF, Feldman HI. A new equation to estimate glomerular filtration rate. Ann Intern Med. 2009;150:604–12, 9. https://doi.org/10.7326/0003-4819-150-9-200905050-00006.

    Article  PubMed  PubMed Central  Google Scholar 

  24. Solez K, Colvin RB, Racusen LC, Haas M, Sis B, Mengel M, et al. Valente M Banff 07 classification of renal allograft pathology: updates and future directions. Am J Transplant. 2008;8(4):753–60. https://doi.org/10.1111/j.1600-6143.2008.02159.x.

    Article  CAS  PubMed  Google Scholar 

  25. Racusen LC, Solez K, Colvin RB, Bonsib SM, Castro MC, Cavallo T, et al. The Banff 97 working classification of renal allograft pathology. Kidney Int. 1999;55(2):713–23. https://doi.org/10.1046/j.1523-1755.1999.00299.x.

    Article  CAS  PubMed  Google Scholar 

  26. KDIGO AKI Work Group. KDIGO clinical practice guideline for acute kidney injury. Kidney Int Suppl. 2012;17:1–138.

    Google Scholar 

  27. Chawla LS, Bellomo R, Bihorac A, Goldstein SL, Siew ED, Bagshaw SM, et al. Acute kidney disease and renal recovery: consensus report of the acute disease quality initiative (ADQI) 16 workgroup. Nat Rev Nephrol. 2017;13:241–57, 4. https://doi.org/10.1038/nrneph.2017.2.

    Article  PubMed  Google Scholar 

  28. Wang W, Yu Y, Wen J, Zhang M, Chen J, Cheng D, et al. Combination of functional magnetic resonance imaging and histopathologic analysis to evaluate interstitial fibrosis in kidney allografts. Clin J Am Soc Nephrol. 2019;14:1372–80, 9. https://doi.org/10.2215/CJN.00020119.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  29. Liang L, Chen WB, Chan KW, Li YG, Zhang B, Liang CH, et al. Using intravoxel incoherent motion MR imaging to study the renal pathophysiological process of contrast-induced acute kidney injury in rats: comparison with conventional DWI and arterial spin labeling. Eur Radiol. 2016;26:1597–605, 6. https://doi.org/10.1007/s00330-015-3990-y.

    Article  PubMed  Google Scholar 

  30. Lang ST, Guo J, Bruns A, Dürr M, Braun J, Hamm B, et al. Multiparametric quantitative MRI for the detection of IgA nephropathy using Tomoelastography, DWI, and BOLD imaging. Investig Radiol. 2019;54:669–74, 10. https://doi.org/10.1097/RLI.0000000000000585.

    Article  CAS  Google Scholar 

  31. Xu X, Palmer SL, Lin X, Li W, Chen K, Yan F, et al. Diffusion-weighted imaging and pathology of chronic kidney disease: initial study. Abdom Radiol (NY). 2018;43:1749–55, 7. https://doi.org/10.1007/s00261-017-1362-6.

    Article  Google Scholar 

  32. Morrell GR, Zhang JL, Lee VS. Magnetic resonance imaging of the fibrotic kidney. J Am Soc Nephrol. 2017;28:2564–70, 9. https://doi.org/10.1681/ASN.2016101089.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  33. Xu Y, Wang X, Jiang X. Relationship between the renal apparent diffusion coefficient and glomerular filtration rate: preliminary experience. J Magn Reson Imaging. 2007;26:678–81, 3. https://doi.org/10.1002/jmri.20979.

    Article  PubMed  Google Scholar 

  34. Cakmak P, Yağcı AB, Dursun B, Herek D, Fenkçi SM. Renal diffusion-weighted imaging in diabetic nephropathy: correlation with clinical stages of disease. Diagn Interv Radiol. 2014;205:374–8.

    Article  Google Scholar 

  35. Chen X, Xiao W, Li X, He J, Huang X, Tan Y, et al. In vivo evaluation of renal function using diffusion weighted imaging and diffusion tensor imaging in type 2 diabetics with normoalbuminuria versus microalbuminuria. Front Med. 2014;84:471–6.

    Article  Google Scholar 

  36. Buchanan CE, Mahmoud H, Cox EF, McCulloch T, Prestwich BL, Taal MW, et al. Quantitative assessment of renal structural and functional changes in chronic kidney disease using multi-parametric magnetic resonance imaging. Nephrol Dial Transplant. 2020;35:955–64, 6. https://doi.org/10.1093/ndt/gfz129.

    Article  PubMed  Google Scholar 

  37. Nangaku M. Chronic hypoxia and tubulointerstitial injury: a final common pathway to end-stage renal failure. J Am Soc Nephrol. 2006;17:17–25, 1. https://doi.org/10.1681/ASN.2005070757.

    Article  CAS  PubMed  Google Scholar 

  38. Cao J, Yang XD, Wang XY, Qu L, Liu G, Li XM. Differential changes of intrarenal oxygenation in rat models of acute tubular necrosis caused by aristolochic acid and gentamicin. Zhonghua Yi Xue Za Zhi. 2010;90:1208–12 17.

    CAS  PubMed  Google Scholar 

  39. Sugiyama K, Inoue T, Kozawa E, Ishikawa M, Shimada A, Kobayashi N, et al. Reduced oxygenation but not fibrosis defined by functional magnetic resonance imaging predicts the long-term progression of chronic kidney disease. Nephrol Dial Transplant. 2020;35:964–70, 6. https://doi.org/10.1093/ndt/gfy324.

    Article  CAS  PubMed  Google Scholar 

  40. Li Q, Wang D, Zhu X, Shen K, Xu F, Chen Y, et al. Combination of renal apparent diffusion coefficient and renal parenchymal volume for better assessment of split renal function in chronic kidney disease. Eur J Radiol. 2018;108:194–200. https://doi.org/10.1016/j.ejrad.2018.10.002.

    Article  PubMed  Google Scholar 

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Acknowledgments

We gratefully thank Dr. Ju Cao and Dr. Gang Liu for their help with data collection, and Dr. Xiaomei Li for the valuable suggestion of project design. We also thank the patients for agreeing to participate in this study.

Funding

This research was supported by grants from National Science and Technology Major Projects for major new drugs innovation and development (2017ZX09304028), the Beijing Young Scientist Program (BJJWZYJH01201910001006), and Peking University Clinical Scientist Program. The funders played roles in collecting data, follow-up of the patients, and interpretation of data.

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Author notes

  1. Tao Su and Xuedong Yang contributed equally to this work.

Authors and Affiliations

  1. Renal Division, Department of Medicine, Peking University First Hospital, Peking University Institute of Nephrology, Beijing, China

    Tao Su & Li Yang

  2. Renal Pathology Center, Peking University First Hospital, Peking University Institute of Nephrology, Beijing, China

    Tao Su & Li Yang

  3. Department of Radiology, Peking University First Hospital, Beijing, China

    Xuedong Yang, Rui Wang & Xiaoying Wang

  4. Department of Radiology, Guang’anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China

    Xuedong Yang

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  1. Tao Su
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  4. Li Yang
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  5. Xiaoying Wang
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Contributions

Tao Su and Xuedong Yang contributed equally to the article. TS and LY contributed to patient diagnosis, management, and clinical data analysis. XY, RW, and XW contributed to functional MR imaging data analysis and provided relating images. TS and XY wrote manuscript drafting, contributed to data analysis, interpretation, and intellectual content of critical importance to the work described. LY and XW interpretation and academic content of crucial importance to the creation and revised the manuscript. All authors had the opportunity to revise the manuscript.

Corresponding authors

Correspondence to Tao Su or Li Yang.

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Ethics approval and consent to participate

This prospective study was complied with the declaration of Helsinki and approved by the Human Ethics.

Committee of Peking University First Hospital. All subjects provided written informed consent and were compatible with MR scanning.

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Not Applicable.

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No one of the authors has a financial and non-financial competing interest.

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Su, T., Yang, X., Wang, R. et al. Characteristics of diffusion-weighted and blood oxygen level-dependent magnetic resonance imaging in Tubulointerstitial nephritis: an initial experience. BMC Nephrol 22, 237 (2021). https://doi.org/10.1186/s12882-021-02435-6

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Keywords

BMC Nephrology

ISSN: 1471-2369

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