Evidence map›Paper›PMID 41464208›Full record

ReviewDiagnostics (Basel, Switzerland)2025

Sonographic Anatomy and Normal Measurements of the Human Kidneys: A Comprehensive Review.

Madhvi Yadav, Saubhagya Srivastava, Manjiri Dighe, Kathleen Möller, Christian Jenssen, Christoph Frank Dietrich

Abstract readReview
In one paragraph

Review in Diagnostics (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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

6 authors.

Madhvi YadavDepartment of Radiology, University of Washington, Seattle, WA 98195, USA.
Saubhagya SrivastavaDepartment of Radiology, University of Washington, Seattle, WA 98195, USA.
Manjiri DigheDepartment of Radiology, University of Washington, Seattle, WA 98195, USA.
Kathleen MöllerMedical Department I/Gastroenterology, SANA Hospital Lichtenberg, 10365 Berlin, Germany.ORCID 0009-0002-9492-0141
Christian JenssenDepartment for Internal Medicine, Krankenhaus Märkisch Oderland, 15344 Strausberg, Germany.ORCID 0000-0002-7008-6650
Christoph Frank DietrichDepartment General Internal Medicine (DAIM), Hospitals Hirslanden Bern Beau Site, Salem and Permanence, Schänzlihalde 11, 3013 Bern, Switzerland.ORCID 0000-0001-6015-6347

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ultrasound is the primary, non-invasive imaging modality for evaluating renal anatomy and function in both acute and chronic settings. Familiarity with normal kidney morphology, cortical and parenchymal thickness, echogenicity, and Doppler parameters is essential for differentiating normal findings from early manifestations of disease. This review summarizes established reference ranges and anatomical variants from the 1950s to 2025, highlighting differences related to age, sex, body habitus, and ethnicity. Practical emphasis is placed on the interpretation of renal size, cortical thickness, echogenicity, and resistive indices in clinical scenarios such as chronic kidney disease, renovascular hypertension, acute obstruction, and renal transplantation. By integrating sonographic measurements with clinical and laboratory findings, clinicians can achieve timely diagnosis, monitor disease progression, and guide therapeutic decisions while minimizing the need for invasive or radiation-based imaging.

Indexed as

echogenicitykidney diseases/diagnostic imagingkidney/ultrasonographyrenal artery/ultrasonographyrenal Doppler

Identifiers

PMID41464208
PMCPMC12731967

What OpenQuestion 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 OpenQuestion graph.