Evidence map›Paper›PMID 37627882›Full record

ReviewDiagnostics (Basel, Switzerland)2023

Radiomics Applications in Spleen Imaging: A Systematic Review and Methodological Quality Assessment.

Salvatore Claudio Fanni, Maria Febi, Roberto Francischello, Francesca Pia Caputo, Ilaria Ambrosini, Giacomo Sica, Lorenzo Faggioni, Salvatore Masala, Michele Tonerini, Mariano Scaglione and 2 more

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 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

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

12 authors.

Salvatore Claudio FanniDepartment of Translational Research, Academic Radiology, University of Pisa, 56126 Pisa, Italy.
Maria FebiDepartment of Translational Research, Academic Radiology, University of Pisa, 56126 Pisa, Italy.
Roberto FrancischelloDepartment of Translational Research, Academic Radiology, University of Pisa, 56126 Pisa, Italy.ORCID 0000-0002-4161-0193
Francesca Pia CaputoDepartment of Translational Research, Academic Radiology, University of Pisa, 56126 Pisa, Italy.
Ilaria AmbrosiniDepartment of Translational Research, Academic Radiology, University of Pisa, 56126 Pisa, Italy.
Giacomo SicaRadiology Unit, Monaldi Hospital, 80131 Napoli, Italy.ORCID 0000-0002-9518-9744
Lorenzo FaggioniDepartment of Translational Research, Academic Radiology, University of Pisa, 56126 Pisa, Italy.ORCID 0000-0001-5262-4489
Salvatore MasalaDepartment of Medicine, Surgery and Pharmacy, University of Sassari, 07100 Sassari, Italy.
Michele ToneriniDepartment of Surgical, Medical, Molecular and Critical Area Pathology, University of Pisa, 56124 Pisa, Italy.
Mariano ScaglioneDepartment of Medicine, Surgery and Pharmacy, University of Sassari, 07100 Sassari, Italy.
Dania CioniDepartment of Translational Research, Academic Radiology, University of Pisa, 56126 Pisa, Italy.ORCID 0000-0002-5120-886X
Emanuele NeriDepartment of Translational Research, Academic Radiology, University of Pisa, 56126 Pisa, Italy.ORCID 0000-0001-7950-4559

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The spleen, often referred to as the "forgotten organ", plays numerous important roles in various diseases. Recently, there has been an increased interest in the application of radiomics in different areas of medical imaging. This systematic review aims to assess the current state of the art and evaluate the methodological quality of radiomics applications in spleen imaging. A systematic search was conducted on PubMed, Scopus, and Web of Science. All the studies were analyzed, and several characteristics, such as year of publication, research objectives, and number of patients, were collected. The methodological quality was evaluated using the radiomics quality score (RQS). Fourteen articles were ultimately included in this review. The majority of these articles were published in non-radiological journals (78%), utilized computed tomography (CT) for extracting radiomic features (71%), and involved not only the spleen but also other organs for feature extraction (71%). Overall, the included papers achieved an average RQS total score of 9.71 ± 6.37, corresponding to an RQS percentage of 27.77 ± 16.04. In conclusion, radiomics applications in spleen imaging demonstrate promising results in various clinical scenarios. However, despite all the included papers reporting positive outcomes, there is a lack of consistency in the methodological approaches employed.

Indexed as

cirrhosiscomputed tomographygastric cancerlymphomamachine learningradiomicsspleen

Identifiers

PMID37627882
PMCPMC10453085

What Socratic 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 Socratic graph.