Evidence map›Paper›PMID 38067331›Full record

ArticleCancers2023

Quantitative Diffusion-Weighted MR Imaging: Is There a Prognostic Role in Noninvasively Predicting the Histopathologic Type of Uveal Melanomas?

Pietro Valerio Foti, Corrado Inì, Giuseppe Broggi, Renato Farina, Stefano Palmucci, Corrado Spatola, Maria Chiara Lo Greco, Emanuele David, Rosario Caltabiano, Lidia Puzzo and 4 more

Abstract read
In one paragraph

Article 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, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it.

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

14 authors.

Pietro Valerio FotiDepartment of Medical Surgical Sciences and Advanced Technologies "G.F. Ingrassia"-Radiology I Unit, University Hospital Policlinico "G. Rodolico-San Marco", Via Santa Sofia 78, 95123 Catania, Italy.ORCID 0000-0002-0918-0103
Corrado InìDepartment of Medical Surgical Sciences and Advanced Technologies "G.F. Ingrassia"-Radiology I Unit, University Hospital Policlinico "G. Rodolico-San Marco", Via Santa Sofia 78, 95123 Catania, Italy.ORCID 0000-0002-7529-2680
Giuseppe BroggiSection of Anatomic Pathology, Department of Medical Surgical Sciences and Advanced Technologies "G.F. Ingrassia", University of Catania, Via Santa Sofia 78, 95123 Catania, Italy.ORCID 0000-0003-2576-6523
Renato FarinaDepartment of Medical Surgical Sciences and Advanced Technologies "G.F. Ingrassia"-Radiology I Unit, University Hospital Policlinico "G. Rodolico-San Marco", Via Santa Sofia 78, 95123 Catania, Italy.
Stefano PalmucciDepartment of Medical Surgical Sciences and Advanced Technologies "G.F. Ingrassia"-Radiology I Unit, University Hospital Policlinico "G. Rodolico-San Marco", Via Santa Sofia 78, 95123 Catania, Italy.ORCID 0000-0002-7196-2974
Corrado SpatolaDepartment of Medical Surgical Sciences and Advanced Technologies "G.F. Ingrassia"-Radiology I Unit, University Hospital Policlinico "G. Rodolico-San Marco", Via Santa Sofia 78, 95123 Catania, Italy.ORCID 0000-0001-5562-189X
Maria Chiara Lo GrecoDepartment of Medical Surgical Sciences and Advanced Technologies "G.F. Ingrassia"-Radiology I Unit, University Hospital Policlinico "G. Rodolico-San Marco", Via Santa Sofia 78, 95123 Catania, Italy.ORCID 0000-0003-4294-7350
Emanuele DavidDepartment of Medical Surgical Sciences and Advanced Technologies "G.F. Ingrassia"-Radiology I Unit, University Hospital Policlinico "G. Rodolico-San Marco", Via Santa Sofia 78, 95123 Catania, Italy.
Rosario CaltabianoSection of Anatomic Pathology, Department of Medical Surgical Sciences and Advanced Technologies "G.F. Ingrassia", University of Catania, Via Santa Sofia 78, 95123 Catania, Italy.ORCID 0000-0001-8591-8010
Lidia PuzzoSection of Anatomic Pathology, Department of Medical Surgical Sciences and Advanced Technologies "G.F. Ingrassia", University of Catania, Via Santa Sofia 78, 95123 Catania, Italy.ORCID 0000-0002-0466-1389
Andrea RussoDepartment of Ophthalmology, University of Catania, Via Santa Sofia 78, 95123 Catania, Italy.ORCID 0000-0002-7725-5971
Antonio LongoDepartment of Ophthalmology, University of Catania, Via Santa Sofia 78, 95123 Catania, Italy.
Teresio AvitabileDepartment of Ophthalmology, University of Catania, Via Santa Sofia 78, 95123 Catania, Italy.
Antonio BasileDepartment of Medical Surgical Sciences and Advanced Technologies "G.F. Ingrassia"-Radiology I Unit, University Hospital Policlinico "G. Rodolico-San Marco", Via Santa Sofia 78, 95123 Catania, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Histopathologically, uveal melanomas (UMs) can be classified as spindle cell, mixed cell and epithelioid cell type, with the latter having a more severe prognosis. The aim of our study was to assess the correlation between the apparent diffusion coefficient (ADC) and the histologic type of UMs in order to verify the role of diffusion-weighted magnetic resonance imaging (DWI) as a noninvasive prognostic marker. A total of 26 patients with UMs who had undergone MRI and subsequent primary enucleation were retrospectively selected. The ADC of the tumor was compared with the histologic type. The data were compared using both one-way analysis of variance (ANOVA) (assessing the three histologic types separately) and the independent

Indexed as

biopsydiffusion magnetic resonance imaging (E01.370.350.825.500.150)eye (A01.456.505.420)eye enucleation (E04.540.429)eye neoplasms (C04.588.364)magnetic resonance imaging (E01.370.350.825.500)melanoma (C04.557.465.625.650.510)needle (E04.074.119)prognosis (E01.789)uvea (A09.371.894)uveal neoplasms (C04.588.364.978)

Identifiers

PMID38067331
PMCPMC10705312

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.