Evidence map›Paper›PMID 29671208›Full record

ArticleLa Radiologia medica2018

Different pixel pitch and maximum luminance of medical grade displays may result in different evaluations of digital radiography images.

Alberto Laffranchi, Calogero Cicero, Manuela Lualdi, Chiara M Ciniselli, Giuseppina Calareso, Stefano Canestrini, Francesca G Greco, Enrico Alberioli, Claudia Cavatorta, Alessandro Guarise and 6 more

Abstract readMulticenter Study
PubMed Publisher
In one paragraph

Article in La Radiologia medica, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
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4 · The record

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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

16 authors.

Alberto LaffranchiDepartment of Radiology, Fondazione IRCCS Istituto Nazionale dei Tumori, Via Venezian 1, 20133, Milan, Italy.
Calogero CiceroDepartment of Radiology, Ospedale San Bassiano, Via Dei Lotti 40, 36061, Bassano del Grappa (VI), Italy.
Manuela LualdiMedical Physics Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, Via Venezian 1, 20133, Milan, Italy. manuela.lualdi@istitutotumori.mi.it.ORCID http://orcid.org/0000-0002-1757-468X
Chiara M CiniselliMedical Statistics, Biometry and Bioinformatics Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, Via Venezian 1, 20133, Milan, Italy.
Giuseppina CalaresoDepartment of Radiology, Fondazione IRCCS Istituto Nazionale dei Tumori, Via Venezian 1, 20133, Milan, Italy.
Stefano CanestriniDepartment of Radiology, Ospedale San Bassiano, Via Dei Lotti 40, 36061, Bassano del Grappa (VI), Italy.
Francesca G GrecoDepartment of Radiology, Fondazione IRCCS Istituto Nazionale dei Tumori, Via Venezian 1, 20133, Milan, Italy.
Enrico AlberioliDepartment of Radiology, Ospedale San Bassiano, Via Dei Lotti 40, 36061, Bassano del Grappa (VI), Italy.
Claudia CavatortaMedical Physics Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, Via Venezian 1, 20133, Milan, Italy.
Alessandro GuariseDepartment of Radiology, Ospedale San Bassiano, Via Dei Lotti 40, 36061, Bassano del Grappa (VI), Italy.
Emanuele PignoliMedical Physics Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, Via Venezian 1, 20133, Milan, Italy.
Maddalena PlebaniMedical Statistics, Biometry and Bioinformatics Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, Via Venezian 1, 20133, Milan, Italy.
Davide ScaramuzzaDepartment of Radiology, Fondazione IRCCS Istituto Nazionale dei Tumori, Via Venezian 1, 20133, Milan, Italy.
Claudio SicilianoInformation and Communication Technology Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, Via Venezian 1, 20133, Milan, Italy.
Paolo VerderioMedical Statistics, Biometry and Bioinformatics Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, Via Venezian 1, 20133, Milan, Italy.
Alfonso MarchianòDepartment of Radiology, Fondazione IRCCS Istituto Nazionale dei Tumori, Via Venezian 1, 20133, Milan, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimTo evaluate the effects of display pixel pitch and maximum luminance on intra- and inter-observer reproducibility and observer performance when evaluating chest lesions and bone fractures. MATERIALS AND

methodsThis was a multi-institutional study for a retrospective interpretation of selected digital radiography images. Overall, 82 images were selected by senior radiologists, including 50 cases of chest lesions and 32 cases of bone fractures. These images were displayed at two pixel pitches (0.212 and 0.165 mm size pixels) and two maximum luminance values (250 and 500 cd/m

resultsThe intra-radiologist and inter-observer reproducibility values were the highest for the 0.165 mm size pixel at 500 cd/m

conclusionOur results indicate that an increased maximum luminance level and a decreased pixel pitch of medical-grade display improve the accuracy of detecting both chest lesions and bone fractures.

Indexed as

Fractures, BoneHumansObserver VariationRadiographic Image EnhancementRadiography, ThoracicReproducibility of ResultsThoracic DiseasesDigital radiography imagesLiquid crystal displayMedical grade displayRadiographic image interpretationROC curve

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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.