Evidence map›Paper›PMID 37568899›Full record

ReviewDiagnostics (Basel, Switzerland)2023

Incidental Focal Spleen Lesions: Integrated Imaging and Pattern Recognition Approach to the Differential Diagnosis.

Antonio Corvino, Vincenza Granata, Domenico Tafuri, Giulio Cocco, Orlando Catalano

Abstract readReview
In one paragraph

Review in Diagnostics (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Common and Uncommon Splenic Lesions: A Review.Diagnostics (Basel, Switzerland) · 2026
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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

5 authors.

Antonio CorvinoMovement Sciences and Wellbeing Department, University of Naples "Parthenope", Via Medina 40, I-80133 Naples, Italy.ORCID 0000-0002-6608-6252
Vincenza GranataDivision of Radiology, Istituto Nazionale Tumori IRCCS Fondazione Pascale, I-80131 Naples, Italy.ORCID 0000-0002-6601-3221
Domenico TafuriMovement Sciences and Wellbeing Department, University of Naples "Parthenope", Via Medina 40, I-80133 Naples, Italy.ORCID 0000-0002-5948-1414
Giulio CoccoDepartment of Neuroscience, Imaging and Clinical Sciences, University "G. d'Annunzio", I-66100 Chieti, Italy.ORCID 0000-0003-3458-5468
Orlando CatalanoRadiology Unit, Varelli Diagnostic Institute, I-80126 Naples, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Spleen lesions and pseudolesions, detected incidentally in imaging, are not uncommon and may require further work-up. The imaging appearance of focal splenic lesions (FSLs) may not be pathognomonic, because of considerably overlapping features. Consequently, all imaging techniques lack specificity to fully characterize FSLs. Clinical correlation is mandatory, so as, first of all, to categorize the patient as having or not having a history of solid or hematologic malignancy. Nowadays, many patients have old imaging studies available for comparison and, consequently, it is important to understand if the lesion was previously present or not, and if the size is the same or has changed. In the absence of comparison studies, and with a lack of imaging features of benignity, further investigation may be necessary, using PET, biopsy, or short-term follow-up. Some algorithms have been proposed to manage incidental FSLs; however, none of these strategies has been validated by prospective studies to date. In this review we illustrate the topic of incidental FSLs and we analyze a number of published algorithms.

Indexed as

computed tomography (CT)incidental findingsmagnetic resonance imaging (MRI)Positron Emission Tomography (PET)spleenultrasound (US)

Identifiers

PMID37568899
PMCPMC10416953

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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.