Evidence map›Paper›PMID 41580613›Full record

ArticleBMC medical imaging2026

Shear wave elastography as a reliable tool in the prediction of renal histopathological abnormalities.

Hend Gamal Abu El Fadl, Mohammed K Nassar, Rasha Shemies, Ahmed E Abdulgalil, Mohamed Abdalbary, Fatma E H Moustafa, Doaa Khedr Mohamed Khedr

Abstract read
In one paragraph

Article in BMC medical imaging, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Hend Gamal Abu El FadlDepartment of Diagnostic and Interventional Radiology, Faculty of Medicine, Mansoura University, Mansoura, Egypt. hendgamal@mans.edu.eg.
Mohammed K NassarMansoura Nephrology and Dialysis Unit, Mansoura University, Mansoura, Egypt.
Rasha ShemiesMansoura Nephrology and Dialysis Unit, Mansoura University, Mansoura, Egypt.
Ahmed E AbdulgalilMansoura Nephrology and Dialysis Unit, Mansoura University, Mansoura, Egypt.
Mohamed AbdalbaryMansoura Nephrology and Dialysis Unit, Mansoura University, Mansoura, Egypt.
Fatma E H MoustafaDepartment of Pathology, Mansoura University, Mansoura, Egypt.
Doaa Khedr Mohamed KhedrDepartment of Diagnostic and Interventional Radiology, Faculty of Medicine, Mansoura University, Mansoura, Egypt.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundChronic kidney disease (CKD) is a global health burden with irreversible progression and cardiovascular risk. Renal biopsy, while the gold standard for assessing kidney pathology, is invasive. Supersonic shear imaging (SSI) elastography is a promising non-invasive tool for quantifying tissue stiffness, potentially reflecting underlying fibrosis. This study aimed to assess the diagnostic value of SSI elastography for predicting renal histopathological abnormalities based on tissue stiffness and to evaluate its correlation with biopsy findings.

methodsThis cross-sectional study included 51 adult patients undergoing native kidney biopsy at Mansoura University Hospitals. All patients underwent SSI elastography before biopsy. Renal stiffness was measured in kilopascals in both kidneys. Histopathological findings, including interstitial fibrosis, tubular atrophy, and glomerulosclerosis, were correlated with elastographic data.

resultsMedian right and left kidney stiffness were 7 (5.6–8.5) and 7.7 (6.8–10) kPa, respectively. Right kidney stiffness showed significant correlations with age (r = -0.28, p = 0.04) and eGFR (r = 0.288, p = 0.04). In non-lupus nephritis cases, right kidney stiffness correlated negatively with serum creatinine (r = -0.409, p = 0.02) and interstitial fibrosis (r = -0.377, p = 0.03), and positively with eGFR (r = 0.438, p = 0.01). ROC analysis yielded an AUC of 0.706 (p = 0.05) for predicting eGFR < 30 mL/min/1.73 m², with a cutoff of 6.9 kPa (sensitivity 71%, specificity 79%).

conclusionsSupersonic shear wave elastography (SWE) is a promising non-invasive modality for predicting renal histopathological changes and assessing kidney function in CKD patients.

Indexed as

Elasticity Imaging TechniquesKidneyRenal Insufficiency, ChronicAdultAgedBiopsyCross-Sectional StudiesFemaleFibrosisHumansMaleMiddle AgedReproducibility of ResultsSensitivity and SpecificityChronic kidney diseaseInterstitial fibrosisLupus nephritisRenal elastographySupersonic shear imaging

Identifiers

PMID41580613
PMCPMC12849660

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.