Evidence map›Paper›PMID 36303093›Full record

ArticleEuropean radiology2023

Ovarian imaging radiomics quality score assessment: an EuSoMII radiomics auditing group initiative.

Andrea Ponsiglione, Arnaldo Stanzione, Gaia Spadarella, Agah Baran, Luca Alessandro Cappellini, Kevin Groot Lipman, Peter Van Ooijen, Renato Cuocolo

Abstract read
In one paragraph

Article in European radiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 5 pooled it
–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

16 citing papers in PubMed, 5 syntheses or guidelines pooled it.

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  10. More than meets the eye: 2-[European journal of nuclear medicine and molecular imaging · 2024
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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

8 authors.

Andrea PonsiglioneDepartment of Advanced Biomedical Sciences, University of Naples Federico II, Naples, Italy.
Arnaldo StanzioneDepartment of Advanced Biomedical Sciences, University of Naples Federico II, Naples, Italy. arnaldo.stanzione@unina.it.ORCID http://orcid.org/0000-0002-7905-5789
Gaia SpadarellaDepartment of Advanced Biomedical Sciences, University of Naples Federico II, Naples, Italy.
Agah BaranDepartment of Diagnostic and Interventional Radiology, University of Cologne, Cologne, Germany.
Luca Alessandro CappelliniDepartment of Biomedical Sciences, Humanitas University, Pieve Emanuele, Milan, Italy.
Kevin Groot LipmanDepartment of Radiology, Netherlands Cancer Institute, Amsterdam, Netherlands.
Peter Van OoijenDepartment of Radiation Oncology, University Medical Center Groningen, Groningen, The Netherlands.
Renato CuocoloDepartment of Medicine, Surgery and Dentistry, University of Salerno, Baronissi, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo evaluate the methodological rigor of radiomics-based studies using noninvasive imaging in ovarian setting.

methodsMultiple medical literature archives (PubMed, Web of Science, and Scopus) were searched to retrieve original studies focused on computed tomography (CT), magnetic resonance imaging (MRI), ultrasound (US), or positron emission tomography (PET) radiomics for ovarian disorders' assessment. Two researchers in consensus evaluated each investigation using the radiomics quality score (RQS). Subgroup analyses were performed to assess whether the total RQS varied according to first author category, study aim and topic, imaging modality, and journal quartile.

resultsFrom a total of 531 items, 63 investigations were finally included in the analysis. The studies were greatly focused (94%) on the field of oncology, with CT representing the most used imaging technique (41%). Overall, the papers achieved a median total RQS 6 (IQR, -0.5 to 11), corresponding to a percentage of 16.7% of the maximum score (IQR, 0-30.6%). The scoring was low especially due to the lack of prospective design and formal validation of the results. At subgroup analysis, the 4 studies not focused on oncological topic showed significantly lower quality scores than the others.

conclusionsThe overall methodological rigor of radiomics studies in the ovarian field is still not ideal, limiting the reproducibility of results and potential translation to clinical setting. More efforts towards a standardized methodology in the workflow are needed to allow radiomics to become a viable tool for clinical decision-making. KEY POINTS: • The 63 included studies using noninvasive imaging for ovarian applications were mostly focused on oncologic topic (94%). • The included investigations achieved a median total RQS 6 (IQR, -0.5 to 11), indicating poor methodological rigor. • The RQS was low especially due to the lack of prospective design and formal validation of the results.

Indexed as

Magnetic Resonance ImagingTomography, X-Ray ComputedHumansPositron-Emission TomographyReproducibility of ResultsUltrasonographyComputed tomographyMachine learningMagnetic resonance imagingOvaryPositron emission tomography

Identifiers

PMID36303093
PMCPMC9935717

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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.