Evidence map›Paper›PMID 37835403›Full record

ReviewCancers2023

CEUS Bosniak Classification-Time for Differentiation and Change in Renal Cyst Surveillance.

Kathleen Möller, Christian Jenssen, Jean Michel Correas, Ehsan Safai Zadeh, Michele Bertolotto, André Ignee, Yi Dong, Vito Cantisani, Christoph F Dietrich

Abstract readReview
In one paragraph

Review in Cancers, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Review
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

9 authors.

Kathleen MöllerMedical Department I/Gastroenterology, Sana Hospital Lichtenberg, 10365 Berlin, Germany.
Christian JenssenDepartment of Internal Medicine, Krankenhaus Märkisch-Oderland, 15344 Strausberg, Germany.ORCID 0000-0002-7008-6650
Jean Michel CorreasBiomedical Imaging Laboratory, UMR 7371-U114, University of Paris, 75006 Paris, France.
Ehsan Safai ZadehDepartment of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, 1090 Vienna, Austria.ORCID 0000-0001-9775-3989
Michele BertolottoDepartment of Radiology, Ospedale di Cattinara, University of Trieste, 34149 Trieste, Italy.ORCID 0000-0001-5583-350X
André IgneeDepartment of Medical Gastroenterology, Julius-Spital, 97070 Würzburg, Germany.ORCID 0000-0002-2388-2945
Yi DongDepartment of Ultrasound, Xinhua Hospital Affiliated to Shanghai Jiaotong University School of Medicine, Shanghai 200092, China.ORCID 0000-0002-0212-1477
Vito CantisaniDepartment of Radiology, Oncology, and Anatomy Pathology, "Sapienza" University of Rome, 00185 Rome, Italy.
Christoph F DietrichDepartment Allgemeine Innere Medizin, Hirslanden Klinik Beau-Site, 3013 Bern, Switzerland.ORCID 0000-0001-6015-6347

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

It is time for a change. CEUS is an established method that should be much more actively included in renal cyst monitoring strategies. This review compares the accuracies, strengths, and weaknesses of CEUS, CECT, and MRI in the classification of renal cysts. In order to avoid overstaging by CEUS, a further differentiation of classes IIF, III, and IV is required. A further development in the refinement of the CEUS-Bosniak classification aims to integrate CEUS more closely into the monitoring of renal cysts and to develop new and complex monitoring algorithms.

Indexed as

Bosniak classificationCEUSobservation strategiesrenal cysts

Identifiers

PMID37835403
PMCPMC10571952

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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.