Evidence map›Paper›PMID 35986781›Full record

ArticleWorld journal of urology2023

Ultrasound-based "CEUS-Bosniak"classification for cystic renal lesions: an 8-year clinical experience.

Elena Herms, Gregor Weirich, Tobias Maurer, Stefan Wagenpfeil, Stephanie Preuss, Andreas Sauter, Matthias Heck, Anita Gärtner, Katharina Hauner, Michael Autenrieth and 6 more

Open access · hybridAbstract read
In one paragraph

Article in World journal of urology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
3.6field-weighted citation impact, top 6% of its field
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

12 citing papers in PubMed, 25 citations in OpenAlex.

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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

16 authors at 6 institutions in 1 country.

Elena HermsDepartment of Nephrology, University Hospital MRI-TUM (München Rechts Der Isar), Munich, Germany.
Gregor WeirichInstitute of Pathology, University Hospital MRI-TUM (München Rechts Der Isar), Munich, Germany.
Tobias MaurerDepartment of Urology and Martini-Klinik, University Hospital Hamburg-Eppendorf, Hamburg, Germany.
Stefan WagenpfeilInstitute of Medical Biometry, Epidemiology and Medical Informatics (IMBEI), Saarland University, Campus Homburg, Homburg, Germany.
Stephanie PreussDepartment of Nephrology, University Hospital MRI-TUM (München Rechts Der Isar), Munich, Germany.
Andreas SauterDepartment of Radiology, University Hospital MRI-TUM (München Rechts Der Isar), Munich, Germany.
Matthias HeckDepartment of Urology, University Hospital MRI-TUM (München Rechts Der Isar), Munich, Germany.
Anita GärtnerDepartment of Anesthesia, Freising University Hospital, Freising, Germany.
Katharina HaunerDepartment of Urology, University Hospital MRI-TUM (München Rechts Der Isar), Munich, Germany.
Michael AutenriethDepartment of Urology, University Hospital MRI-TUM (München Rechts Der Isar), Munich, Germany.
Hubert P KüblerDepartment of Urology, University Hospital Würzburg, Würzburg, Germany.
Konstantin HolzapfelDepartment of Radiology, Hospital Landshut-Achdorf, Landshut, Germany.
Ulrike Schwarz-BoegerMedical Controlling, University Hospital MRI-TUM (München Rechts Der Isar), Munich, Germany.
Uwe HeemannDepartment of Nephrology, University Hospital MRI-TUM (München Rechts Der Isar), Munich, Germany.
Julia Slotta-Huspenina *Institute of Pathology, University Hospital MRI-TUM (München Rechts Der Isar), Munich, Germany.
Konrad Friedrich Stock *Department of Nephrology, University Hospital MRI-TUM (München Rechts Der Isar), Munich, Germany. Konrad.Stock@mri.tum.de.ORCID http://orcid.org/0000-0003-3164-7192
TUM Klinikum · DELeibniz-Institute for Food Systems Biology at the Technical University of Munich · DESaarland University · DEUniversität Hamburg · DEUniversitätsklinikum Würzburg · DEUniversity of Applied Sciences Landshut · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeRenal cysts comprise benign and malignant entities. Risk assessment profits from CT/MRI imaging using the Bosniak classification. While Bosniak-IIF, -III, and -IV cover complex cyst variants, Bosniak-IIF and -III stand out due to notorious overestimation. Contrast-enhanced ultrasound (CEUS) is promising to overcome this deficit but warrants standardization. This study addresses the benefits of a combined CEUS and CT/MRI evaluation of renal cysts. The study provides a realistic account of kidney tumor boards' intricacies in trying to validate renal cysts.

methods247 patients were examined over 8 years. CEUS lesions were graded according to CEUS-Bosniak (IIF, III, IV). 55 lesions were resected, CEUS-Bosniak- and CT/MRI-Bosniak-classification were correlated with histopathological diagnosis. Interobserver agreement between the classifications was evaluated statistically. 105 lesions were followed by ultrasound, and change in CEUS-Bosniak-types and lesion size were documented.

results146 patients (156 lesions) were included. CEUS classified 67 lesions as CEUS-Bosniak-IIF, 44 as CEUS-Bosniak-III, and 45 as CEUS-Bosniak-IV. Histopathology of 55 resected lesions revealed benign cysts in all CEUS-Bosniak-IIF lesions (2/2), 40% of CEUS-Bosniak-III and 8% of CEUS-Bosniak-IV, whereas malignancy was uncovered in 60% of CEUS-Bosniak-III and 92% of CEUS-Bosniak-IV. Overall, CEUS-Bosniak-types matched CT/MRI-Bosniak types in 58% (fair agreement, κ = 0.28). CEUS-Bosniak resulted in higher stages than CT/MRI-Bosniak (40%). Ultrasound follow-up of 105 lesions detected no relevant differences between CEUS-Bosniak-types concerning cysts size. 99% of lesions showed the same CEUS-Bosniak-type.

conclusionThe CEUS-Bosniak classification is an essential tool in clinical practice to differentiate and monitor renal cystic lesions and empowers diagnostic work-up and patient care.

Indexed as

CystsKidney Diseases, CysticKidney NeoplasmsContrast MediaHumansKidneyTomography, X-Ray ComputedContrast MediaBosniak classificationCEUSCEUS-BosniakComplex renal cystContrast-enhanced ultrasoundCystic renal masses

Identifiers

PMID35986781
PMCPMC10082702
OpenAlexW4292435852

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Registered trials

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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.