Evidence map›Paper›PMID 25279774›Full record

ArticlePloS one2014

Bone suppression increases the visibility of invasive pulmonary aspergillosis in chest radiographs.

Steven Schalekamp, Bram van Ginneken, Inge A H van den Berk, Ieneke J C Hartmann, Miranda M Snoeren, Arlette E Odink, Winnifred van Lankeren, Sjoert A H Pegge, Laura J Schijf, Nico Karssemeijer and 1 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.7field-weighted citation impact, top 29% 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

8 citing papers in PubMed, 15 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Invasive pulmonary aspergillosis: current diagnostic methodologies and a new molecular approach.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2018
    Review
  7. Article
  8. 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 6 institutions in 1 country.

Steven SchalekampDept. Of Radiology, Radboud University Medical Center, Nijmegen, The Netherlands.
Bram van GinnekenDept. Of Radiology, Radboud University Medical Center, Nijmegen, The Netherlands.
Inge A H van den BerkDept. Of Radiology, Academic Medical Center, Amsterdam, The Netherlands.
Ieneke J C HartmannDept. Of Radiology, Maasstad Hospital, Rotterdam, The Netherlands.
Miranda M SnoerenDept. Of Radiology, Radboud University Medical Center, Nijmegen, The Netherlands.
Arlette E OdinkDept. Of Radiology, Erasmus Medical Center, Rotterdam, The Netherlands.
Winnifred van LankerenDept. Of Radiology, Erasmus Medical Center, Rotterdam, The Netherlands.
Sjoert A H PeggeDept. Of Radiology, Meander Medical Center, Amersfoort, The Netherlands.
Laura J SchijfDept. Of Radiology, Academic Medical Center, Amsterdam, The Netherlands.
Nico KarssemeijerDept. Of Radiology, Radboud University Medical Center, Nijmegen, The Netherlands.
Cornelia M Schaefer-ProkopDept. Of Radiology, Radboud University Medical Center, Nijmegen, The Netherlands; Dept. Of Radiology, Meander Medical Center, Amersfoort, The Netherlands.
Radboud University Medical Center · NLAcademic Medical Center · NLErasmus MC · NLRadboud University Nijmegen · NLMaasstad Ziekenhuis · NLMeander Medisch Centrum · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveChest radiographs (CXR) are an important diagnostic tool for the detection of invasive pulmonary aspergillosis (IPA) in critically ill patients, but their diagnostic value is limited by a poor sensitivity. By using advanced image processing, the aim of this study was to increase the value of chest radiographs in the diagnostic work up of neutropenic patients who are suspected of IPA.

methodsThe frontal CXRs of 105 suspected cases of IPA were collected from four institutions. Radiographs could contain single or multiple sites of infection. CT was used as reference standard. Five radiologists and two residents participated in an observer study for the detection of IPA on CXRs with and without bone suppressed images (ClearRead BSI 3.2; Riverain Technologies). The evaluation was performed separately for the right and left lung, resulting in 78 diseased cases (or lungs) and 132 normal cases (or lungs). For each image, observers scored the likelihood of focal infectious lesions being present on a continuous scale (0-100). The area under the receiver operating characteristics curve (AUC) served as the performance measure. Sensitivity and specificity were calculated by considering only the lungs with a suspiciousness score of greater than 50 to be positive.

resultsThe average AUC for only CXRs was 0.815. Performance significantly increased, to 0.853, when evaluation was aided with BSI (p = 0.01). Sensitivity increased from 49% to 66% with BSI, while specificity decreased from 95% to 90%.

conclusionThe detection of IPA in CXRs can be improved when their evaluation is aided by bone suppressed images. BSI improved the sensitivity of the CXR examination, outweighing a small loss in specificity.

Indexed as

AdolescentAdultAgedAged, 80 and overFemaleHumansInvasive Pulmonary AspergillosisMaleMiddle AgedRadiographic Image EnhancementRadiographic Image Interpretation, Computer-AssistedRadiography, ThoracicSensitivity and SpecificityYoung Adult

Identifiers

PMID25279774
PMCPMC4184785
OpenAlexW2107093067

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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.