Renal arterial resistive index as a prognostic marker in lupus nephritis patients.

INTRODUCTION: Lupus nephritis (LN) is known to be one of the most serious complications of SLE and it is a major predictor of poor prognosis. Despite the improvement in understanding the pathophysiology of lupus nephritis and greater improvement in diagnostic approaches, lupus nephritis patients have poorer outcomes. OBJECTIVES: Study the relation between renal resistive index (RRI) and renal function and histopathological parameters in lupus nephritis (LN) patients. Also to investigate the usefulness of RRI in predicting response to treatment. PATIENTS AND METHODS: This study included 126 patients who were split into two groups (group 1: 101 LN patients and group 2: 25 SLE patients without renal affection); and 100 healthy controls (group 3). The RRI was measured for all participants through a colored Doppler ultrasound examination. LN patients underwent renal biopsy and received their therapy and were followed up for 6 months. RESULTS: The RRI was significantly greater in the LN group (mean±SD; 0.64±0.07) than in SLE patients without nephritis (0.5884±0.04) (P<0.0001). The RRI was greater in LN class IV (P<0.0001). RRI significantly correlated with the chronicity index (r=0.704, P<0.0001), activity index (r=0.310, P=0.002), and serum creatinine (r=0.607, P<0.0001) and negatively correlated with eGFR (r=-0.719, P<0.0001). Almost eighty-five percent (84.8%) of LN patients responded to induction therapy. RRI was significantly greater in the nonresponder group (mean±SD, 0.73±0.02) than that in the responder group (0.63±.07) (P<0.0001). All non-responders to induction therapy while only 29.8% of responders had an RRI of ˃0.7. RRI, according to regression analysis was a significant predictor of response to treatment in LN patients. CONCLUSION: RRI was significantly greater in the LN group and significantly correlated with kidney function and histopathological parameters. RRI can predict response to induction therapy in LN patients.

Utility of renal resistive index measurement in juvenile systemic lupus erythematosus: a cross-sectional single-center study.

INTRODUCTION: Systemic lupus erythematosus (SLE) is a multisystemic autoimmune disease with a complex etiopathogenesis. Renal involvement is the most common and devastating complication of the disease. Renal resistive index (RRI) was suggested as a noninvasive biomarker for lupus nephritis in previous studies. This is the first study to investigate the role of RRI measurement in juvenile SLE patients. METHODS: This cross-sectional study included 25 juvenile SLE patients and 25 healthy controls. Demographic and clinical features were recruited from the medical files of the patients. RRI measurements were performed with color Doppler ultrasonography from intrarenal arteries when Doppler angles were 30-60 in right and left kidneys. RESULTS: Of 25 (19 female, 6 male) SLE patients, nineteen (76%) patients had urinary abnormalities during follow-up, and renal biopsy was performed in 14 patients, of which 9 (64.3%) had class 2 and 5 (35.7%) had class 4 lupus nephritis. RRI was found significantly higher in SLE group than healthy controls. RRI did not differ between SLE patients, grouped according to the presence of renal involvement and class IV lupus nephritis. RRI did not correlate with serum creatinine, GFR, spot urine protein/creatinine, and albumin/creatinine ratio. CONCLUSIONS: Although RRI was found significantly higher in juvenile SLE, it is not affected by GFR, proteinuria level, or the renal biopsy results, even the presence of proliferative nephritis. The underlying pathogenetic mechanisms of increased RRI in SLE should be clarified in further studies. Key Points • Renal resistive index (RRI) is a parameter derived from renal Doppler ultrasound imaging and shows the intrarenal arterial resistance. • This study reveals that RRI is increased in juvenile systemic lupus erythematosus. • RRI was previously related with renal involvement, particularly class 4 lupus nephritis in adults. However, RRI was not affected by the presence or degree of renal involvement in juvenile SLE patients in our study.

A grade-based search adaptive random slime mould optimizer for lupus nephritis image segmentation.

The segmentation of medical images is a crucial and demanding step in medical image processing that offers a solid foundation for subsequent extraction and analysis of medical image data. Although multi-threshold image segmentation is the most used and specialized basic image segmentation technique, it is computationally demanding and often produces subpar segmentation results, hence restricting its application. To solve this issue, this work develops a multi-strategy-driven slime mould algorithm (RWGSMA) for multi-threshold image segmentation. Specifically, the random spare strategy, the double adaptive weigh strategy, and the grade-based search strategy are used to improve the performance of SMA, resulting in an enhanced SMA version. The random spare strategy is mainly used to accelerate the convergence rate of the algorithm. To prevent SMA from falling towards the local optimum, the double adaptive weights are also applied. The grade-based search approach has also been developed to boost convergence performance. This study evaluates the efficacy of RWGSMA from many viewpoints using 30 test suites from IEEE CEC2017 to effectively demonstrate the importance of these techniques in RWGSMA. In addition, numerous typical images were used to show RWGSMA's segmentation performance. Using the multi-threshold segmentation approach with 2D Kapur's entropy as the RWGSMA fitness function, the suggested algorithm was then used to segment instances of lupus nephritis. The experimental findings demonstrate that the suggested RWGSMA beats numerous similar rivals, suggesting that it has a great deal of promise for segmenting histopathological images.

Clinical study on the use of advanced magnetic resonance imaging in lupus nephritis.

OBJECTIVES: To investigate the correlation between the histopathology of the kidney and clinical indicators in patients with lupus nephritis (LN) using magnetic resonance imaging (MRI). METHODS: A total 50 female participants were enrolled in the study. Thirty patients with LN were divided into types 2, 3, 4, and 5, according to their pathological features. The control group consisted of 20 healthy female volunteers. Serum creatinine, C3, C1q, and anti-ds-DNA were measured. Conventional MRI, DTI, DWI, and BOLD scanning was performed to obtain the FA, ADC, and R2* values for the kidney. RESULTS: Compared with the control group, FA and the ADC were decreased in patients with LN, while the R2* value was increased (P < 0.05). The overall comparison of the SLEDAI (Activity index of systemic lupus erythematosus) score, total pathological score, AI, and serum creatinine C3 showed that these were significantly different between the two groups (P < 0.05). FA and the ADC were negatively correlated with urinary, blood ds-DNA, and serum creatinine and positively correlated with C1q (P < 0.05). The R2* value was positively correlated with urinary NGAL, blood ds-DNA, and serum creatinine (P < 0.05). FA and the ADC were negatively correlated with the SLEDAI score, total pathological score, AI, CI, nephridial tissue C3, and C1q. The R2* value was positively correlated with the SLEDAI score, total pathological score, AI, CI, nephridial tissue C3, and C1q (P < 0.05). CONCLUSIONS: MRI examination in female patients with LN was correlated with pathologic test results, which may have clinical significance in determining the disease's severity, treatment, and outcome.

Impaired left ventricular systolic synchrony in patients with lupus Nephritis: A speckle tracking echocardiography study.

OBJECTIVES: We aimed to explore the value of two-dimensional speckle tracking echocardiography measurements of the global longitudinal strain (GLS) and left ventricular mechanical dispersion (LVMD) in the assessment of early stage left ventricular systolic dysfunction and heterogeneity of myocardial contraction in patients with lupus nephritis (LN). METHODS: Patients with LN and extra-renal systemic lupus erythematosus (SLE) and healthy participants in the control group underwent echocardiography for the traditional measurement of the left ventricular systolic and diastolic function and speckle tracking measurements of the GLS and LVMD. GLS was defined as the average value of the peak strain during systole of the left ventricular 17 segments, and LVMD was defined as the standard deviation. The demographic characteristics including age, sex, and body mass index (BMI) of all the participants were collected. The clinical and laboratory characteristics of the patients with LN were collected. RESULTS: We included 41 healthy control, 37 patients with extra-renal SLE, and 73 patients with LN. There were statistically significant differences in the GLS and LVMD between the extra-renal SLE and LN groups (GLS -19.36% vs. -17.61%, p < 0.001; LVMD 35.62 ms vs 42.96 ms, p<0.001). There was a statistically significant difference in the LVMD between the extral-renal SLE and control groups (35.62ms vs 25.51ms, p<0.001), but not in GLS (-19.36% vs -19.52%, p > 0.05). Multiple regression analyses were conducted in a subset of patients, and 24-hour proteinuria was independently associated with LVMD (ß [SE], 0.793 [0.302], p < .05). CONCLUSIONS: Patients with LN have more severe myocardial involvement than patients with extra-renal SLE. The asynchrony in myocardial contraction represented by the LVMD can be recognized earlier than that of the overall contractile functional impairment represented by GLS. In patients with LN, the 24-hour proteinuria was associated with LVMD. This indicates that the heterogeneity in the contractile function may be associated with the severity of renal damage.

An efficient multilevel thresholding image segmentation method based on the slime mould algorithm with bee foraging mechanism: A real case with lupus nephritis images.

To improve the diagnosis of Lupus Nephritis (LN), a multilevel LN image segmentation method is developed in this paper based on an improved slime mould algorithm. The search of the optimal threshold set is key to multilevel thresholding image segmentation (MLTIS). It is well known that swarm-based methods are more efficient than the traditional methods because of the high complexity in finding the optimal threshold, especially when performing image partitioning at high threshold levels. However, swarm-based methods tend to obtain the poor quality of the found segmentation thresholds and fall into local optima during the process of segmentation. Therefore, this paper proposes an ASMA-based MLTIS approach by combining an improved slime mould algorithm (ASMA),  where ASMA is mainly implemented by introducing the position update mechanism of the artificial bee colony (ABC) into the SMA. To prove the superiority of the ASMA-based MLTIS method, we first conducted a comparison experiment between ASMA and 11 peers using 30 test functions. The experimental results fully demonstrate that ASMA can obtain high-quality solutions and almost does not suffer from premature convergence. Moreover, using standard images and LN images, we compared the ASMA-based MLTIS method with other peers and evaluated the segmentation results using three evaluation indicators called PSNR, SSIM, and FSIM. The proposed ASMA can be an excellent swarm intelligence optimization method that can maintain a delicate balance during the segmentation process of LN images, and thus the ASMA-based MLTIS method has great potential to be used as an image segmentation method for LN images. The lastest updates for the SMA algorithm are available in https://aliasgharheidari.com/SMA.html.

Positron emission tomography and single photon emission computed tomography imaging of tertiary lymphoid structures during the development of lupus nephritis.

Lymphoid neogenesis occurs in tissues targeted by chronic inflammatory processes, such as infection and autoimmunity. In systemic lupus erythematosus (SLE), such structures develop within the kidneys of lupus-prone mice ((NZBXNZW)F1) and are observed in kidney biopsies taken from SLE patients with lupus nephritis (LN). The purpose of this prospective longitudinal animal study was to detect early kidney changes and tertiary lymphoid structures (TLS) using in vivo imaging. Positron emission tomography (PET) by tail vein injection of 18-F-fluoro-2-deoxy-D-glucose (18F-FDG)(PET/FDG) combined with computed tomography (CT) for anatomical localization and single photon emission computed tomography (SPECT) by intraperitoneal injection of 99mTC labeled Albumin Nanocoll (99mTC-Nanocoll) were performed on different disease stages of NZB/W mice (n = 40) and on aged matched control mice (BALB/c) (n = 20). By using one-way ANOVA analyses, we compared two different compartmental models for the quantitative measure of 18F-FDG uptake within the kidneys. Using a new five-compartment model, we observed that glomerular filtration of 18FFDG in lupus-prone mice decreased significantly by disease progression measured by anti-dsDNA Ab production and before onset of proteinuria. We could not visualize TLS within the kidneys, but we were able to visualize pancreatic TLS using 99mTC Nanocoll SPECT. Based on our findings, we conclude that the five-compartment model can be used to measure changes of FDG uptake within the kidney. However, new optimal PET/SPECT tracer administration sites together with more specific tracers in combination with magnetic resonance imaging (MRI) may make it possible to detect formation of TLS and LN before clinical manifestations.

Diffusion tensor imaging of renal cortex in lupus nephritis.

PURPOSE: To evaluate the diagnostic value of diffusion tensor imaging (DTI) of renal cortex in assessment of lupus nephritis (LN) and prediction of its pathological subtypes. METHODS: Prospective study was performed upon 39 female patients with pathologically proven LN and 16 sex- and age-matched healthy controls. Patients and controls underwent DTI of kidney. Mean diffusivity (MD) and fractional anisotropy (FA) of renal cortex were calculated by two radiologists. LN patients were pathologically classified into either non-proliferative (n = 15) or proliferative (n = 24). RESULTS: Mean MD of renal cortex in LN was significantly lower (p = 0.001) than that of controls with cut-off (2.16 and 2.2 X10-3mm2/s), area under curve (AUC) of (0.92, 0.94) and accuracy of (91%, 89%) for both observers. Mean FA of renal cortex in LN was significantly higher (p = 0.001) than that of controls with cut-off (0.20, 0.21), AUC of (0.86, 0.82) and accuracy of (86%, 84%) for both observers. Renal cortex MD and FA in non-proliferative LN were significantly different (p = 0.001) from that of proliferative LN for both observers. There was excellent inter-observer agreement of MD and FA (ICC = 0.96 and 0.81). CONCLUSION: MD and FA of renal cortex may help to assess renal affection in LN patients and predict its pathological subtypes.

Application of direct stochastic optical reconstruction microscopy (dSTORM) to the histological analysis of human glomerular disease.

Electron microscopy (EM) following immunofluorescence (IF) imaging is a vital tool for the diagnosis of human glomerular diseases, but the implementation of EM is limited to specialised institutions and it is not available in many countries. Recent progress in fluorescence microscopy now enables conventional widefield fluorescence microscopes to be adapted at modest cost to provide resolution below 50 nm in biological specimens. We show that stochastically switched single-molecule localisation microscopy can be applied to clinical histological sections stained with standard IF techniques and that such super-resolved IF may provide an alternative means to resolve ultrastructure to aid the diagnosis of kidney disease where EM is not available. We have implemented the direct stochastic optical reconstruction microscopy technique with human kidney biopsy frozen sections stained with clinically approved immunofluorescent probes for the basal laminae and immunoglobulin G deposits. Using cases of membranous glomerulonephritis, thin basement membrane lesion, and lupus nephritis, we compare this approach to clinical EM images and demonstrate enhanced imaging compared to conventional IF microscopy. With minor modifications in established IF protocols of clinical frozen renal biopsies, we believe the cost-effective adaptation of conventional widefield microscopes can be widely implemented to provide super-resolved image information to aid diagnosis of human glomerular disease.

Quantifying the effects of biopsy fixation and staining panel design on automatic instance segmentation of immune cells in human lupus nephritis.

SIGNIFICANCE: Lupus nephritis (LuN) is a chronic inflammatory kidney disease. The cellular mechanisms by which LuN progresses to kidney failure are poorly characterized. Automated instance segmentation of immune cells in immunofluorescence images of LuN can probe these cellular interactions. AIM: Our specific goal is to quantify how sample fixation and staining panel design impact automated instance segmentation and characterization of immune cells. APPROACH: Convolutional neural networks (CNNs) were trained to segment immune cells in fluorescence confocal images of LuN biopsies. Three datasets were used to probe the effects of fixation methods on cell features and the effects of one-marker versus two-marker per cell staining panels on CNN performance. RESULTS: Networks trained for multi-class instance segmentation on fresh-frozen and formalin-fixed, paraffin-embedded (FFPE) samples stained with a two-marker panel had sensitivities of 0.87 and 0.91 and specificities of 0.82 and 0.88, respectively. Training on samples with a one-marker panel reduced sensitivity (0.72). Cell size and intercellular distances were significantly smaller in FFPE samples compared to fresh frozen (Kolmogorov-Smirnov, p ≪ 0.0001). CONCLUSIONS: Fixation method significantly reduces cell size and intercellular distances in LuN biopsies. The use of two markers to identify cell subsets showed improved CNN sensitivity relative to using a single marker.

Detection of renal hypoxia configuration in patients with lupus nephritis: a primary study using blood oxygen level-dependent MR imaging.

BACKGROUND: Renal microstructure and function are closely associated with oxygenation homeostasis. Analyzing renal blood oxygen level‒dependent (BOLD) magnetic resonance imaging (MRI) examination results will provide information on the biological status of the kidneys. The current study was performed to explore the hypoxia mode of the entire renal parenchyma in patients with lupus nephritis (LN). METHODS: A total of 23 adult patients with LN and 18 healthy volunteers were recruited. R2* values were acquired using BOLD MRI analysis. The narrow rectangular region of interest was used to explore the hypoxia configuration in entire depths of renal parenchyma. Acquired sequential R2* data were fitted using four categories of mathematic functions. The tendency of R2* data in both patients with LN and healthy volunteers was also compared using repeated-measures analysis of variance. RESULTS: R2* data from the superficial cortex to deep medulla displayed two patterns called a sharp uptrend style and a flat uptrend style. After sequential R2* data were fitted individually with the use of four mathematic formulas, the multiple-compartment Gaussian function showed the highest goodness of fit. Compared with two categories of R2* value styles, the R2* tendency of entire parenchyma in patients with LN was different from that in healthy volunteers. CONCLUSIONS: Deep renal medullary oxygenation was not always overtly lower than oxygenation in the superficial renal cortical zone. The manifestation of renal parenchyma oxygenation could be described using a Gaussian function model. Deoxygenation tolerance was damaged in patients with LN.

Detection of water-molecular-motion configuration in patients with lupus nephritis: a primary study using diffusion-weighted imaging.

BACKGROUND: Lupus nephritis (LN) is one of most common types of secondary glomerulonephritis, which is characterized by longitudinal pathological changes. Microstructural lesions of LN will impact the motion of water molecules, which can be detected by diffusion-weighted imaging (DWI). There are few reported measurements of water diffusion in patients with LN, and the nature of water diffusion across the entire depth of the renal parenchyma remains largely unknown. METHODS: Twenty adult patients with LN and 11 healthy volunteers underwent DWI inspection. Renal biopsy samples were characterized based on the revised ISN/RPS 2003 classification. The apparent-diffusion coefficient (ADC) was calculated via fitting into a mono-exponential model. To compare the ADC level across the entire renal parenchyma between the two groups, repeated-measures analysis of variance (RM-ANOVA) was performed. ADC data derived from DWI pictures were transformed into tridimensional maps by MATLAB software. RESULTS: Compared with data from healthy volunteers, lower average ADC values with major undulatory magnitudes were found in patients with LN, especially in the cortical zone. Tridimensional maps of patients with LN displayed geographic terrain-like canyons and/or valleys that were different from the corresponding terrain-like flatlands and/or plateaus in healthy volunteers. A heterogeneity of ADC values was found in bilateral kidneys. Left kidneys predominated higher ADC values in patients with LN. The ADC values across the entire renal parenchyma exhibited statistically significant differences among the three identified pathological subclasses (P < 0.001). CONCLUSIONS: Analysis of the motion of water molecules across the entire renal parenchyma may be helpful for better understanding the pathological conditions of LN, for which microstructural and functional heterogeneity may be detected and visualized via DWI.

Choroidal thickness in lupus nephritis.

OBJECTIVE: This study aimed to compare choroidal thickness between patients with systemic lupus erythematosus (SLE) and lupus nephritis (LN) in complete renal remission to that of patients with SLE without LN. METHODS: This was a retrospective case-control study of 23 SLE patients meeting either the American College of Rheumatology or Systemic Lupus International Collaborating Clinics classification criteria and followed at Washington University School of Medicine Rheumatology or Nephrology, and Ophthalmology outpatient clinics. The diagnosis of LN was based on renal pathology, and complete renal remission was defined as proteinuria <500 mg/daily and serum creatinine at baseline. Extra-renal flare status was determined using modified Fortin criteria. Choroidal thickness was measured using spectral-domain optical coherence tomography and read by blinded reviewers. RESULTS: In SLE patients without extra-renal flare, choroidal thickness of LN patients was 281 ± 78 µm compared to 288 ± 70 µm in non-LN SLE patients (p = 0.766) at the fovea. CONCLUSION: Choroidal thickness was not different in patients with LN in remission compared to non-LN SLE patients in remission. Additional studies are needed to examine choroidal thickness in patients with SLE with active LN.

Choroid thickness profile in patients with lupus nephritis.

BACKGROUND: Choroidopathy is a rare manifestation of systemic lupus erythematosus (SLE). This entity is associated with active phases of severe SLE and it is frequently accompanied by acute kidney failure, central nervous system involvement and coagulopathy. PURPOSE: To evaluate the choroid thickness of patients with lupus nephritis (LN) without choroidopathy, and to compare this with that of age-matched SLE patients without LN and healthy control subjects. STUDY DESIGN: Cross-sectional case control study. MATERIAL AND METHODS: Fifteen women with LN in remission phase (study group), 15 women with SLE in remission without LN (SLE control group), and 15 healthy women (healthy control group), without ocular diseases or significant refractive error, were recruited. Full ophthalmological examination and a macular optical coherence tomography in enhanced depth imaging mode were performed. The choroid thickness was measured at nine macular points and six lines of mean choroidal thickness were determined. A comparative analysis between the three groups was performed using the one-way ANOVA test and the paired t-test. The choroid thickness of patients under corticotherapy was also compared to that of patients without corticotherapy. Additionally, the correlation between choroid thickness and disease duration was evaluated using the Pearson analysis. RESULTS: The mean macular choroidal thickness was 295.73 ± 67.62 µm in the study group, 233.34 ± 41.01 µm in the SLE control group, and 240.98 ± 37.93 µm in the control group ( p = 0.00006 and p = 0.0003, respectively). Additionally, the choroid thickness was significantly thicker than in the SLE and healthy control groups at the foveal ( p = 0.004 and p < 0.000), nasal ( p < 0.000 and p = 0.001), superior ( p = 0.002 and p < 0.000) and inferior ( p < 0.000 and p = 0.001) mean lines. The choroidal thickness in this group was not associated with the duration of the disease. The subgroup of patients with LN under corticotherapy did not reveal a significantly different choroidal thickness. CONCLUSION: This study suggests a relationship between LN and choroidal changes, which may represent an increased risk for choroidopathy in these patients. Choroid thickening was not related with the duration of the disease. This thickening may be correlated with histopathological changes similar to those occurring in kidney glomeruli.

Multiparameter diffusion-weighted imaging for characterizing pathological patterns in lupus nephritis patients: A preliminary study.

BACKGROUND: Microstructural changes of lupus nephritis (LN) kidney such as inflammatory cell infiltration or fibrosis could influence water molecular movement or diffusion, which indicates that diffusion-weighted imaging (DWI) may become a valuable tool in evaluation of this disease. PURPOSE: To explore whether multiparameter diffusion-weighted imaging (mDWI) could contribute to characterize pathological patterns in LN patients. STUDY TYPE: Retrospective. POPULATION: Twenty-two patients with LN. FIELD STRENGTH/SEQUENCE: Multi-b value DWI was performed with a 3.0 T scanner. ASSESSMENT: Apparent diffusion coefficient (ADC)m , perfusion-related diffusion coefficient (Df ), molecular diffusion coefficient (Ds ), perfusion fraction (f), ADCs , α, ADCk , and mean kurtosis (MK) were calculated by monoexponential, biexponential, stretched-exponential, and kurtosis models fits, respectively. STATISTICAL TESTS: Independent sample t-test, Pearson analysis and receiver operating characteristic (ROC). RESULTS: In the whole group, the activity index (AI) correlated significantly with alpha values in the medulla (rho = -0.54, P = 0.03). The chronicity index (CI) correlated significantly with Ds values in the medulla (rho = -0.61, P = 0.02). No significant association was found between any other diffusion parameter and histologic grade with all P > 0.05. For differentiating proliferative LN (Class III or IV) from Class V, the area under the ROC curve (AUC) of alpha in the medulla was 0.833 (P = 0.023). DATA CONCLUSION: mDWI might be used for the characterization of pathological patterns in LN patients. LEVEL OF EVIDENCE: 3 Technical Efficacy Stage: 2 J. Magn. Reson. Imaging 2019;50:1075-1084.

Tomoelastography Paired With T2* Magnetic Resonance Imaging Detects Lupus Nephritis With Normal Renal Function.

OBJECTIVES: The aim of this study was to test multiparametric magnetic resonance imaging including blood oxygen level-dependent (BOLD) imaging by T2* mapping, magnetic resonance elastography (MRE) by tomoelastography, and diffusion-weighted imaging (DWI) for detecting nephropathy in patients with lupus nephritis (LN). METHODS: Forty-one subjects (25 patients with LN and 16 age- and sex-matched healthy volunteers; LN: mean age, 47.3 ± 14.8 years; 22 female subjects; volunteers: mean age, 43.9 ± 11.6 years; 13 female subjects) were prospectively enrolled. The LN group was further divided into subgroups with normal (LN-nRF, GFR > 90 mL/min per 1.73 m) and compromised renal function (LN-cRF, GFR < 90 mL/min per 1.73 m). All subjects were examined by multifrequency MRE, BOLD imaging, and DWI, yielding shear wave speed (SWS; in meter per second), T2* relaxation times (in millisecond), and apparent diffusion coefficient (ADC; in millimeter square per second), respectively. Renal subregional analysis was performed for the medulla (ME), inner cortex (CoI), and outer cortex (CoO). Imaging markers were correlated to clinical parameters such as GFR and protein-to-urine creatinine ratio. Cutoffs and area under the receiver operating curve (AUROC) were computed to test diagnostic performances. RESULTS: Compared with CoI and CoO, LN-nRF predominantly affects ME tissue (SWS: -7%, P < 0.01; T2*: +9%, P < 0.05; ADC: -5%, P = 0.27). Detection of LN-nRF was better with MRE compared with BOLD imaging and DWI (AUROC = 0.81, 0.76, not significant), whereas pairing MRE with T2* further increased diagnostic power (AUROC = 0.91). Disease progression was associated with reduction of SWS also in CoI (LN-nRF, 3.04 ± 0.38 m/s; LN-cRF, 2.60 ± 0.26 m/s; p = 0.013), allowing distinction of LN-nRF from LN-cRF (AUROC = 0.83). Diffusion-weighted imaging was only sensitive to LN-cRF in ME tissue (ADC, -12%; P < 0.05). CONCLUSIONS: Lupus nephritis with normal renal function first arises in MRE and BOLD images within ME tissue, progressing to CoI tissue once renal function becomes impaired and diffusion of tissue water changes.

Assessment of Renal Pathological Changes in Lupus Nephritis Using Diffusion Weighted Imaging: A Multiple Correspondence Analysis.

BACKGROUND/AIMS: Renal pathological changes affect the motion of water molecules, which can be detected using diffusion-weighted imaging (DWI). The current study was performed to explore the correlation between renal tissue pathological injuries and DWI iconographical parameters in lupus nephritis (LN). METHODS: Twenty adult patients with LN and 11 healthy volunteers were recruited. Patients with LN received renal biopsies and renal DWI-MRI inspections. The renal biopsy tissues were characterized based on the ISN/RPS 2003 classification. The volunteers, who were of comparable gender and age, only underwent renal DWI-MRI inspection. Four DWI parameters, namely, apparent diffusion coefficient (ADC), pure diffusion coefficient (Dt), pseudo-diffusion coefficient (Dp), and perfusion fraction (fp), were calculated using monoexponential and biexponential functions, respectively. Data from different renal areas and pathological pattern groups were compared. Multiple correspondence analysis (MCA) was performed to explore the correlation between each DWI index and multiple pathological features. RESULTS: ADC, Dt, and fp values were lower in the LN group compared to the controls (P < 0.001) regardless of the renal area in the cortex and medulla. Dp values were higher in the LN group (P = 0.004). A difference in mean DWI parameters was found between three LN subgroups and the healthy volunteers, with the exception of the Dp index in the renal cortex. MCA showed that serious proliferative pathological injuries and lower ADC and Dt values were located in the same quadrant. The MCA plots of Dp and fp provided similar results. Higher Dp and fp values were located in the MCA plot quadrant with more serious proliferative pathological changes. CONCLUSION: DWI is a noninvasive technique that may be used to detect renal pathophysiological changes. Renal cell proliferation and intestinal fibrosis may impact the movement of water in certain microenvironments. Enhanced perfusion may be a compensatory mechanism that is associated with renal pathological injuries.

Blood oxygen level dependent magnetic resonance imaging for detecting pathological patterns in lupus nephritis patients: a preliminary study using a decision tree model.

BACKGROUND: Precise renal histopathological diagnosis will guide therapy strategy in patients with lupus nephritis. Blood oxygen level dependent (BOLD) magnetic resonance imaging (MRI) has been applicable noninvasive technique in renal disease. This current study was performed to explore whether BOLD MRI could contribute to diagnose renal pathological pattern. METHODS: Adult patients with lupus nephritis renal pathological diagnosis were recruited for this study. Renal biopsy tissues were assessed based on the lupus nephritis ISN/RPS 2003 classification. The Blood oxygen level dependent magnetic resonance imaging (BOLD-MRI) was used to obtain functional magnetic resonance parameter, R2* values. Several functions of R2* values were calculated and used to construct algorithmic models for renal pathological patterns. In addition, the algorithmic models were compared as to their diagnostic capability. RESULTS: Both Histopathology and BOLD MRI were used to examine a total of twelve patients. Renal pathological patterns included five classes III (including 3 as class III + V) and seven classes IV (including 4 as class IV + V). Three algorithmic models, including decision tree, line discriminant, and logistic regression, were constructed to distinguish the renal pathological pattern of class III and class IV. The sensitivity of the decision tree model was better than that of the line discriminant model (71.87% vs 59.48%, P < 0.001) and inferior to that of the Logistic regression model (71.87% vs 78.71%, P < 0.001). The specificity of decision tree model was equivalent to that of the line discriminant model (63.87% vs 63.73%, P = 0.939) and higher than that of the logistic regression model (63.87% vs 38.0%, P < 0.001). The Area under the ROC curve (AUROCC) of the decision tree model was greater than that of the line discriminant model (0.765 vs 0.629, P < 0.001) and logistic regression model (0.765 vs 0.662, P < 0.001). CONCLUSIONS: BOLD MRI is a useful non-invasive imaging technique for the evaluation of lupus nephritis. Decision tree models constructed using functions of R2* values may facilitate the prediction of renal pathological patterns.