Evidence map›Paper›PMID 27307001›Full record

ArticleLa Radiologia medica2016

Whole-body MRI in patients with lymphoma: collateral findings.

Massimo Galia, Domenico Albano, Donatella Narese, Caterina Patti, Vito Chianca, Francesco Di Pietto, Antonino Mulè, Emanuele Grassedonio, Ludovico La Grutta, Roberto Lagalla and 1 more

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In one paragraph

Article in La Radiologia medica, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
2.8field-weighted citation impact, top 10% of its field
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

14 citing papers in PubMed, 24 citations in OpenAlex.

  1. Article
  2. Review
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  6. Article
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  9. Article
  10. Imaging features of adrenal masses.Insights into imaging · 2019
    Review
  11. Article
  12. Imaging features of solid renal masses.The British journal of radiology · 2017
    Review
  13. Article
  14. 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

11 authors at 3 institutions in 1 country.

Massimo GaliaDepartment of Radiology, DIBIMED, University of Palermo, Via del Vespro 127, 90127, Palermo, Italy.
Domenico AlbanoDepartment of Radiology, DIBIMED, University of Palermo, Via del Vespro 127, 90127, Palermo, Italy. albanodomenico@me.com.ORCID http://orcid.org/0000-0001-7989-9861
Donatella NareseDepartment of Radiology, DIBIMED, University of Palermo, Via del Vespro 127, 90127, Palermo, Italy.
Caterina PattiDepartment of Hematology I, Azienda Ospedali Riuniti Villa Sofia-Cervello, Viale Strasburgo 233, 90146, Palermo, Italy.
Vito ChiancaDipartimento di Scienze Biomediche Avanzate, Università degli studi Federico II, Via Pansini 5, 80131, Naples, Italy.
Francesco Di PiettoDipartimento di Diagnostica per Immagini, AORN A. Cardarelli, Via Antonio Cardarelli 9, 80131, Naples, Italy.
Antonino MulèDepartment of Hematology I, Azienda Ospedali Riuniti Villa Sofia-Cervello, Viale Strasburgo 233, 90146, Palermo, Italy.
Emanuele GrassedonioDepartment of Radiology, DIBIMED, University of Palermo, Via del Vespro 127, 90127, Palermo, Italy.
Ludovico La GruttaDepartment of Radiology, DIBIMED, University of Palermo, Via del Vespro 127, 90127, Palermo, Italy.
Roberto LagallaDepartment of Radiology, DIBIMED, University of Palermo, Via del Vespro 127, 90127, Palermo, Italy.
Massimo MidiriDepartment of Radiology, DIBIMED, University of Palermo, Via del Vespro 127, 90127, Palermo, Italy.
University of Palermo · ITOspedale Vincenzo Cervello · ITOspedale Antonio Cardarelli · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo assess the incidence of collateral findings detected on whole-body magnetic resonance (WB-MRI) scans performed on patients with lymphoma. MATERIALS AND

methods114 patients (65 male; median age 45.2 years, range 15-86) with histologically confirmed lymphoma (47 Hodgkin, 67 Non-Hodgkin) underwent WB-MRI. The collateral findings were classified into three classes, according to their clinical significance, as follows: not or low significant (class 1), moderately or potentially significant (class 2), and significant (class 3). A Chi-square (χ (2)) test was performed to assess the statistical significance of differences in the incidence of collateral findings based on age (≤50 and >50 years old), gender and histology (Hodgkin and Non-Hodgkin Lymphoma).

resultsNinety-one of 114 patients (79.8 %) had one or more incidental findings on WB-MRI. Collateral findings were more frequent in class 1 (43 %); abnormalities found in 35 patients (30.7 %) were considered potentially significant, whereas seven patients (6.1 %) demonstrated significant collateral findings requiring immediate treatment or further diagnostic evaluation. Collateral findings were more frequent in subjects over 50 years old compared to those of 50 years old or younger; differences were statistical significant (χ (2) = 8.42, p < 0.05). There were not statistically significant differences related to gender (χ (2) = 0.17, p > 0.05) and histology (χ (2) = 0.24, p > 0.05).

conclusionWB-MRI is an attractive procedure that allows to detect incidental abnormalities of organs not involved by disease offering the opportunity to obtain an early diagnosis of asymptomatic life-threatening diseases.

Indexed as

AdolescentAdultAgedAged, 80 and overFemaleHumansIncidental FindingsLymphomaMagnetic Resonance ImagingMaleNeoplasm StagingWhole Body ImagingCollateral findingsLymphomaMagnetic resonance imagingWhole-body imaging

Identifiers

PMID27307001
OpenAlexW2432436135

What OpenQuestion holds

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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.