Skip to main content
  • Research article
  • Open access
  • Published:

Sonographically determined kidney measurements are better able to predict histological changes and a low CKD-EPI eGFR when weighted towards cortical echogenicity

Abstract

Background

The renal length and cortical echogenicity have shown correlation to the renal function and histological changes in CKD patients. The aim of this study was to assess the accuracy of crude and composite ultrasound parameters based on kidney measurements and cortical echogenicity to detect renal dysfunction and histological changes.

Methods

Kidney sonography and biopsy were performed in 112 patients. Histological changes were graded in 0, < 25%, ≥25%, ≤50 and > 50% of the sample. Cortical echogenicity was graded relative to liver or spleen parenchyma: less than, equal to and higher than the liver/spleen. Kidney length, the kidney length/body height ratio (KL/H) and cortical thickness were obtained. Each parameter was multiplied by a cortical echogenicity-weighting arbitrary factor: 1.17, 1 or 0.69 for cortex less than, equal to or higher than the liver, respectively. The GFR was estimated using the CKD-EPI formula. The accuracy of crude and composite parameters to identify patients with a high creatinine, a low GFR and histological changes were evaluated.

Results

The discriminative power of kidney length and cortical thickness for renal dysfunction and histological changes was improved after weighting for cortical echogenicity. However, the best discriminative was the kidney length to height ratio weighted towards renal echogenicity (w-KL/H).

Conclusion

w-KL/H exceeded the other parameters as a marker of renal impairment and histological changes in CKD. Calculation of the w-KL/H index may be of help as a non-invasive tool to identify patients with significant renal disease and might be useful to guide therapeutic decisions.

Peer Review reports

Background

Renal ultrasound is usually the first imaging procedure used in the clinical assessment of patients with renal disease [1]. Some sonographically determined kidney parameters correlate with renal function, including kidney length (KL) [2, 3] and cortical echogenicity, which is the most commonly reported parameter at renal ultrasound [4]. Additionally, changes in kidney length/body height ratio (KL/H) [5] and cortical thickness (CT) [6] are believed to show a relationship with renal function in chronic kidney disease (CKD) patients.

The assessment of relative hepatorenal echogenicity has been used in determining cortical echogenicity in the renal parenchymal evaluation. Increased cortical echogenicity is a marker of renal disease that correlates to severity of interstitial histological changes in renal parenchymal disease [5]. Normally, the renal cortical echoes are lower in amplitude than either the normal parenchyma of the spleen or the liver [7]. However, a study claimed that in a percentage (around 33.0%) of normal right kidneys the echogenicity equaled that of the liver [8]. On the other hand, in adults, a renal cortex more echogenic than the liver is clearly abnormal and indicates renal disease [9].

Cortical thickness has been claimed to be better than renal length as an indicator of renal function in chronic kidney disease [6]. However, despite the fact that renal length is the most commonly used parameter of renal assemble in the clinical setting, the kidney length to body height ratio better represents kidney size than the absolute renal length [10]. Therefore, its use in chronic renal disease studies would be valuable.

Accordingly, we evaluated the performance of the crude values of renal size, renal length/height ratio and cortical thickness and after multiplication by a derived cortical echogenicity-weighting factor. The purpose of our study was to assess the ability of these parameters to identify patients with a serum creatinine > 1.5 mg/dl and with an eGFR ≤45 ml/min and severe histological changes on biopsy samples.

Methods

This study was approved by the local ethics committee. All participants provided written informed consent.

Kidney sonographic examinations were performed in 118 patients, immediately prior to percutaneous renal biopsy, in patients with proteinuria, hematuria and decreased renal function. Primary and secondary renal diseases were included. Additionally, a pathology report for diagnosis purposes, including data on glomerular obsolescence (GO), mesangial proliferation (MP), glomerular cellularity (GC), crescent and fibrinoid necrosis (CFN), glomerular sclerosis (GS), tubular atrophy (TA), interstitial fibrosis (IF) and interstitial infiltrate (II) were graded according to extension and severity in 0 (0%, no change), 1 (< 25% of the sample), 2 (≥25% ≤ 50% of the sample), and 3 (> 50% of the sample). All ultrasounds were performed by the same operator (NCA) and all biopsies were evaluated by the same pathologist (LSR).

Recently, a standardized grading of chronic changes in native renal biopsy samples was proposed based on four levels (0 to 3) for glomerulosclerosis (GS), tubular atrophy (TA) and interstitial fibrosis (IF) and two levels (0 to 1) for arteriosclerosis. The score is calculated by summing the four pathologic changes levels and ranges from 0 to 10, with a cut-off value > 8 established for severe chronic changes [11]. In our study, using a modification of this method, an index was constructed based on four levels (0 o 3) for GS, TA and IF. Since arteriosclerosis was not included in the index, a value of > 7 was set as the cut-off for severe chronic changes.

The ultrasound studies were performed using a commercially available unit with a 3.5 MHz transducer (Sonoline 40, Siemens, Erlangen, Germany). Renal parenchyma was graded by the degree of cortical echogenicity relative to the liver/spleen parenchyma: less than, equal to and higher than the liver or spleen (Fig. 1). Values of ultrasound parameters such as kidney length (KL), the kidney length (mm)/body height (cm) ratio (KL/H) and cortical thickness (CT) were obtained. Kidney length was measured as the maximal longitudinal dimension as visualized in the longitudinal plane parallel to the longest renal axis. The measurement of the cortical thickness was made from the outer renal cortical margin to the base of a medullary pyramid in the coronal plane (Fig. 2).

Fig. 1
figure 1

Sonograms were graded by the degree of cortical echogenicity relative to the liver or spleen parenchyma in the following manner: Left: less than (grade 0); Middle: equal to (grade 1); Right: greater than (grade 2)

Fig. 2
figure 2

The measurement of cortical thickness was made from the outer renal cortical margin to the outer margin of the medullary pyramid (arrows), in the coronal plane

The glomerular filtration rate (GFR) was estimated from the serum creatinine (SCr) concentration, performed within 30 days of the ultrasound, using the CKD-EPI (Chronic Kidney Disease Epidemiology Collaboration) formula: GFR = 141 x min(Scr/κ,1)α x max(Scr/κ,1)-1.209 × 0.993Age × 1.018 [if female] × 1.159 [if black] [12].

We calculated the areas under the receiver operator characteristic curves (AUROC) to evaluate the ability of ultrasound parameters to identify patients with a high SCr (> 1.5 mg/dl) and a low eGFR (≤ 45 ml/min). Additionally, the same procedure was used to evaluate the discriminative power of every parameter (SCr, CKD-EPI and ultrasound parameters) to identify the severity and extension of histological changes and the index of severe chronic changes (score > 7).

Next, we re-evaluated the performance of the ultrasound parameters with ROC curve analysis after multiplication by an empirically-derived semi-quantitative cortical echogenicity-weighting arbitrary factor (w). To create the weighting factor, we used the range from 0.71 to 1.89 for renal cortical/ liver echogenicity ratio reported by others [13] as the grading scale. For a renal cortex equal to the liver in echogenicity, a factor of 1 was assigned. For cortical echogenicity less than and greater than the liver the inverse of an intermediate value between 0.71 and 1 (1.17) and between 1 and 1.89 (0.69) was chosen, respectively. The reasoning for using an inverse value is that this procedure renders it more appropriate for use as a weighting factor, i.e. it points in the same direction (disease severity) as the main parameter such that is it higher if the renal cortex is less echogenic than the liver (less severe disease) and lower in the opposite case (more severe disease).

Accordingly, ROC curve analysis was performed to evaluate the ability of weighting ultrasound parameters (w-CT, w-KL, w-KL/H) to identify patients with a high serum creatinine (> 1.5 mg/dl) and a low eGFR (≤45 ml/min) and to predict a chronic histological index > 7.

Significance was considered at a p value <  0.05.

Results

Right kidney cortical echogenicity relative to liver echogenicity was obtained in all patients, except in six whose liver was fatty. In these cases, the left cortical kidney echogenicity relative to the spleen was considered. Six out of 118 patients with no representative biopsy sample were excluded. Therefore, 112 patients were enrolled in the study.

Patient characteristics and clinical data are shown in Table 1. The patients ranged in age from 13 to 76 years at the time of biopsy (mean ± standard deviation age 36.4 ± 16.1 years); there were 61 females and 76 Caucasians. The mean ± standard deviation of serum creatinine level was 2.08 ± 1.96 mg/dl (range 0.60 to 11.7 mg/dl) and of CKD-EPI was 67.5 ± 44.8 ml/min (range 1.0 to 163.0 ml/min). In total, 46 patients had impaired renal function (Cr >  1.5 mg/dl). The crude and weighted for cortical echogenicity ultrasound parameters are shown in Table 1.

Table 1 Baseline demographics and clinical characteristics of the patients

Crude KL/H performed better than kidney length and cortical thickness for the detection of increased serum creatinine and decreased CKD-EPI (Table 2). However, the ability of absolute parameters to identify patients with a low eGFR or an abnormal serum creatinine was marginal. Discriminative power was markedly improved after weighting for cortical echogenicity (Table 2). The best discriminative parameter (at the cut-off <  0.66) was the newly derived index: the kidney length to height ratio weighted towards relative renal echogenicity (w-KL/H) (Table 2 and Fig. 3).

Table 2 Receiver operating characteristic (ROC) analysis of crude and weighted sonographic parameters in relation to their ability to identify patients with significant renal dysfunction
Fig. 3
figure 3

Receiver operating characteristic curve to evaluate the diagnostic accuracy of w-KL/H to predict increased serum creatinine and low CKD-EPI

Table 3 shows the accuracy of the area under the ROC for significant renal dysfunction defined as serum creatinine >  1.5 mg/dl or CKD-EPI < 45 ml/min and crude and weighted ultrasound parameters to detect semi-quantitatively graded renal histological changes. For every chronic glomerular and interstitial lesion examined, w-KL/H performed better than SCr and CKD-EPI and all crude and weighted ultrasound parameters. None of parameters were able to detect acute glomerular changes.

Table 3 Receiver operating characteristic (ROC) analysis of the relationship of significant renal dysfunction and crude and weighted for cortical echogenicity ultrasound parameters to semi-quantitatively graded renal histological changes

In Table 4, the performance of every single parameter (renal function or ultrasound) for detection of index of chronic changes (score of > 7) is shown. Based on the simple inspection of values, without statistical analysis, among the weighted ultrasound parameters, w-KL/H had the best performance (Fig. 4). Instead of data analysis using the Youden test, the cut-off was chosen based on a decision-analytic approach (utility based) [14] for a sensitivity as close as possible to 95%.

Table 4 Area under the curve to predict the diagnostic accuracy of parameters studied for severe grades of chronic histological changes (glomerular sclerosis, tubular atrophy and interstitial fibrosis) based on total score > 7
Fig. 4
figure 4

Receiver operating characteristic curve to evaluate the diagnostic accuracy of weighted (w) for cortical echogenicity cortical thickness (w-CT), kidney length (w-KL) and the kidney length/height ratio (w-KL/H) to predict severe grades of chronic histological changes (glomerular sclerosis, tubular atrophy and interstitial fibrosis) based on a total score > 7

Discussion

The exponentially increasing burden of chronic kidney disease is now recognized as a worldwide public health problem. Therefore, efforts to improve detection, treatment and monitoring of clinical outcomes would be valuable. For practical reasons, several serum creatinine-based formulas for predicting GFR were created with the CKD-EPI equation, which is currently considered the most accurate GFR estimation tool [12].

The most important finding of our study was the improvement in the accuracy of detecting renal dysfunction and histological changes using traditional ultrasound parameters if cortical echogenicity is taken into account. Moreover, w-KL/H performed better than w-KL or w-CT. Although the AUROC for w-KL/H was higher than w-CT and slightly higher than w-KL, the significance of the difference between them was not checked statistically. However, an AUROC of > 0.7 to < 0.8 is considered acceptable while > 0.8 to < 0.9 is considered excellent [15].

Renal length, measured by sonography, is the most commonly used surrogate marker to predict renal function. Since renal length correlates well with body height [16], certain authors advocate the use of relative instead of absolute renal length to overcome sex and height differences [10]. In accordance with this, our data show that relative instead of absolute renal length more accurately predicted renal dysfunction. KL/H is easy to calculate and it is reasonable to believe that is highly reproducible too.

For renal medical disease purposes, the assessment of renal parenchymal hyperechogenicity is also important [17]. Cortical echogenicity depends upon backscatter echo height yielded from interfaces with glomeruli, tubules and the interstitium [9]. Glomeruli account for only 8% of the renal volume and seem to play a less important role in cortical echogenicity [7]. Indeed, increased cortical echogenicity correlates better with the severity and chronicity of tubulointerstitial changes than glomerular changes [5]. It is also important to keep in mind that, among renal histological changes, interstitial fibrosis and tubular atrophy correlate better with renal function than glomerular changes [18]. Taken together, it is highly plausible that ultrasound parameters weighted towards cortical echogenicity could better detect renal dysfunction and histological changes than their raw counterparts.

In this study, KL, the KL/H ratio and cortical thickness were weighted towards renal cortical echogenicity to build new indexes. Numerical values were assigned to qualitative renal cortical echogenicity evaluation. The rationale for the assignment of semi-quantitative arbitrary values for renal cortical echogenicity relative to the liver is based on the mean pixel density (MPD) ratio of their echogenicities. If both echogenicities are equal, the MPD ratio is 1. When cortical renal echogenicity is less than liver MPD, the ratio is less than 1, and when cortical echogenicity is higher than the liver, the MPD is higher than 1. Indeed, in normal controls, the MPD ratio range is between 0.812 and 0.987 [19], while in chronic kidney disease patients with increased renal cortical echogenicity, a value of 1.15 has been reported [20]. In a study carried out on patients with parenchymal renal disease confirmed by biopsy, the MPD ratio ranged from 0.71 to 1.89 [13]. Accordingly, it is reasonable to assign factors of 1.17, 1.00 and 0.69 for a qualitative evaluation of renal cortical echogenicity less than, equal to and greater than that of the liver, respectively. These values were used as weighting factors for KL, the KL/H ratio and cortical thickness to build composite indexes taking renal cortical echogenicity into account.

In accordance with this line of reasoning, w-KL/H was able to predict increased serum creatinine and GFR < 45 ml/min estimated by means of CKD-EPI and had even better performance in distinguishing glomerular sclerosis, glomerular obsolescence and interstitial changes than any of the other parameters used in this study.

One reason for the better performance of parameters after weighing for cortical echogenicity relies on the spread of data values. Indeed, there was little change in the mean of every parameter studied; however, the standard deviations increased as much as two-fold. As a consequence, this increase in the dispersion of values made the variable more suitable to mirror the large variation in renal function and extension of histological changes seen in CKD patients.

The referral of a patient for kidney biopsy is based on the assumption that the finding of reversal changes would be valuable for guiding therapy. Therefore, a test able to obviate unnecessary biopsies in severe chronic changes patients would be useful. Since the most important point in the contraindication of biopsy is to be sure that the patient has severe chronic changes, a test with high sensitivity is preferable than a highly specific one. In accordance with, the cut-off was chosen based on an approach to clinical decision making [14] for a sensitivity as close as possible to 95%. A cut-off value for w-KL/H equal or less than 0.43 had a sensitivity of 94.8% to predict severe chronic changes, which could be helpful to refine the decision-making process in doubtful cases of renal biopsy indication. The extreme cut-off values of SCr and CKD-EPI make them unsuitable as clinical tools and crude cortical thickness and kidney length did not have any predictive power in the present study.

A potential limitation of our study is that cortical echogenicity was evaluated visually rather than quantitatively. A criticism of the visual evaluation of renal cortical echogenicity relative to the liver is that some kidneys slightly less or slightly more echogenic than the liver might be interpreted as equal to the liver, a caveat regarding accuracy. However, it is unlikely that a kidney less echogenic than the liver could be interpret as higher. Therefore, cases that account for the smallest and largest values are never misinterpreted. Second, variables that could affect renal cortical echogenicity, like the subject’s state of hydration [19] or the administration of furosemide [21] were neglected. However, water loading determined a mean increase in echogenicity of only 6.4% [19] and the qualitatively furosemide effect was limited to the medullary pyramids [21].

Although the assignment of an individual weighting echogenicity factor to an individual patient instead of a mean for each subset of patient seems more appropriate, it is difficult to integrate into clinical practice because it is cumbersome. Therefore, the use of only three different weighting factors renders the index more useful as a clinical tool. Moreover, the index uses factors that can be easily obtained in clinical practice (patient height) and in kidney ultrasound studies (cortical echogenicity and kidney length).

In summary, the data obtained in this study show that KL/H weighted towards cortical renal echogenicity exceeded the other parameters as a marker of renal impairment and severe chronic histological changes in CKD patients. Therefore, reporting renal cortical echogenicity on a semi-quantitative scale applied as a weighting index to simple kidney measurements obtained at conventional renal ultrasound examination can be useful in detecting meaningful losses of renal function.

Conclusion

The newly derived w-KL/H index bears a close relationship to the degree of chronic glomerular and acute and chronic interstitial changes in patients referred for renal biopsy. In accordance with this, routine calculation of the w-KL/H index may be of help as a non-invasive triage tool to identify patients with significant renal disease. In addition, it might be useful to guide therapeutic decisions.

Availability of data and materials

The datasets used and/or analysed during the current study are available from the corresponding author on reasonable request. The requirement should first be submitted to ethical committee.

Abbreviations

CKD:

Chronic kidney disease

CKD-EPI:

Chronic Kidney Disease Epidemiology Collaboration

CNF:

Crescent and fibrinoid necrosis

CT:

Cortical thickness

eGFR:

estimated glomerular filtration rate

GC:

Glomerular cellularity

GO:

Glomerular obsolescence

GS:

Glomerular sclerosis

IF:

Interstitial fibrosis

II:

Interstitial infiltrate

KL:

Kidney length

KL/H :

Kidney length/body height ratio

MP:

Mesangial proliferation

MPD:

Mean pixel density

SCr:

Serum creatinine

TA:

Tubular atrophy

w:

derived cortical echogenicity-weighting factor

References

  1. Buturović-Ponikvar J, Visnar-Perovic A. Ultrasonography in chronic renal failure. Eur J Radiol. 2003;46:115–22. https://doi.org/10.1016/s0720-048x(03)00073-1.

    Article  PubMed  Google Scholar 

  2. Van Den Noortgate N, Velghe A, Petrovic M, et al. The role of ultrasonography in the assessment of renal function in the elderly. J Nephrol. 2003;16:658–62.

    Google Scholar 

  3. Makusidi MA, Chijioke A, Braimoh KT, Aderibigbe A, Olanrewaju TO, Liman HM. Usefulness of renal length and volume by ultrasound in determining severity of chronic kidney disease. Saudi J Kidney Dis Transpl. 2014;25:1117–21. https://doi.org/10.4103/1319-2442.139981.

    Article  PubMed  Google Scholar 

  4. Siddappa JK, Singla S, Al Ameen M, Rakshith SC, Kumar N. Correlation of ultrasonographic parameters with serum creatinine in chronic kidney disease. J Clin Imaging Sci. 2013;3:28. https://doi.org/10.4103/2156-7514.114809.

    Article  PubMed  PubMed Central  Google Scholar 

  5. Araújo NC, Rioja LS, Rebelo MAP. Doença parenquimatosa renal: correlação histológico-sonográfica. Rev Assoc Med Bras. 2008;54:48–54. https://doi.org/10.1590/S0104-42302008000100020.

    Article  PubMed  Google Scholar 

  6. Beland MD, Walle NL, Machan JT, Cronan JJ. Renal cortical thickness measured at ultrasound: is it better than renal length as an indicator of renal function in chronic kidney disease? Am J Roentgenol. 2010;195:W146–9. https://doi.org/10.2214/AJR.09.4104.

    Article  Google Scholar 

  7. Huntington DK, Hill SC, Hill MC. Sonographic manifestation of medical renal disease. Semin Ultrasound CT MR. 1991;12:290–307.

    CAS  PubMed  Google Scholar 

  8. Emamian AS, Nielsen MB, Pedersen JF, Ytte L. Sonographic evaluation of renal appearance in 665 adult volunteers – correlation with age and obesity. Acta Radiol. 1993;34:482–5. https://doi.org/10.1177/028418519303400511.

    Article  CAS  PubMed  Google Scholar 

  9. Hricak H, Cruz C, Romanski R, et al. Renal parenchymal disease: sonographic-histologic correlation. Radiology. 1982;144:141–7. https://doi.org/10.1148/radiology.144.1.7089245.

    Article  CAS  PubMed  Google Scholar 

  10. Miletié D, Fuckar Z, Sustié A, Mozetié V, Stimac D, Zauhar G. Sonographic measurement of absolute and relative length in adults. J Clin Ultrasound. 1998;26:185–9. https://doi.org/10.1002/(sici)1097-0096(199805)26:4<185::aid-jcu1>3.0.co;2-9.

    Article  Google Scholar 

  11. Sethi S, D’Agati VD, Nast CC, et al. A proposal for standardized grading of chronic changes in native kidney biopsy specimens. Kidney Int. 2017;91:787–9. https://doi.org/10.1016/j.kint.2017.01.002.

    Article  PubMed  Google Scholar 

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

    Article  PubMed  PubMed Central  Google Scholar 

  13. Moghazi S, Jones E, Schroepple J, et al. Correlation of renal histopathology with sonographic findings. Kidney Int. 2005;67:1515–20. https://doi.org/10.1111/j.1523-1755.2005.00230.x.

    Article  PubMed  Google Scholar 

  14. Pauker SG, Kassirer JP. The threshold approach to clinical decision making. N Engl J Med. 1980;302:1109–17. https://doi.org/10.1056/NEJM198005153022003.

    Article  CAS  PubMed  Google Scholar 

  15. Hosmer DW, Lemeshow S. Applied Logistic Regression, Chapter 5. 2nd ed. New York: Wiley; 2000. p. 160–4.

    Book  Google Scholar 

  16. Emamian SA, Nielsen MB, Pederson JF, Ytte L. Kidney dimension at sonography: correlation with age, sex and habitus in 665 adult volunteers. Am J Roentgenol. 1993;160:83–6. https://doi.org/10.2214/ajr.160.1.8416654.

    Article  CAS  Google Scholar 

  17. Quaia E, Bertolotto M. Renal parenchymal diseases: is characterization feasible with ultrasound? Eur Radiol. 2002;12:2006–20. https://doi.org/10.1007/s00330-002-1360-z.

    Article  PubMed  Google Scholar 

  18. Fogo AB. Approach to renal biopsy. Am J Kidney Dis. 2003;42:826–36. https://doi.org/10.1053/S0272-6386(03)01054-0.

    Article  PubMed  Google Scholar 

  19. Manley JA, O’Neill WC. How echogenic is echogenic? Quantitative acoustics of the renal cortex. Am J Kidney Dis. 2001;37:706–11. https://doi.org/10.1016/s0272-6386(01)80118-9.

    Article  CAS  PubMed  Google Scholar 

  20. Libório AB, Neves FMO, Melo CBT, Leite TT, Leitão RA. Quantitative renal echogenicity as a tool for diagnosis of advanced chronic kidney disease in patients with glomerulopathies and no liver disease. Kidney Blood Press Res. 2017;42:708–16. https://doi.org/10.1159/000484105.

    Article  PubMed  Google Scholar 

  21. Tuma J, Schwarzenbach HR, Nováková B, Jungius KP, Kuchta M. The quantitative measurement of the echogenicity of the renal parenchyma. Praxis. 2008;97:297–303. https://doi.org/10.1024/1661-8157.97.6.297.

    Article  CAS  PubMed  Google Scholar 

Download references

Acknowledgements

None.

Funding

None.

Author information

Authors and Affiliations

Authors

Contributions

NCA, MAPR, JHRS and LSR conceived the present idea, NCA performed the ultrasound examinations, LSR was the pathologist who reads all biopsies samples, NCA analysed the data with support from MAPR and JHRS. NCA, MAPR and JHRS discussed the results and contributed to the final manuscript. All authors have read and approved the manuscript.

Corresponding author

Correspondence to Nordeval Cavalcante Araújo.

Ethics declarations

Ethics approval and consent to participate

The study protocol was approved by the by the institutional ethics committee - Comitê de Ética em Pesquisa do Hospital Universitário Pedro Ernesto da Universidade do Estado do Rio de Janeiro. All subjects provided written informed consent (or parental consent) for participation in the study.

Consent for publication

All subjects provided written informed consent (or parental consent) for publication.

Competing interests

The authors declare that they have no competing interests.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Araújo, N.C., Rebelo, M.A.P., da Silveira Rioja, L. et al. Sonographically determined kidney measurements are better able to predict histological changes and a low CKD-EPI eGFR when weighted towards cortical echogenicity. BMC Nephrol 21, 123 (2020). https://doi.org/10.1186/s12882-020-01789-7

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/s12882-020-01789-7

Keywords