Evidence map›Paper›PMID 27019389›Full record

ArticleLaboratory investigation; a journal of technical methods and pathology2016

Longitudinal, in vivo assessment of invasive pulmonary aspergillosis in mice by computed tomography and magnetic resonance imaging.

Jennifer Poelmans, Amy Hillen, Liesbeth Vanherp, Kristof Govaerts, Johan Maertens, Tom Dresselaers, Uwe Himmelreich, Katrien Lagrou, Greetje Vande Velde

Abstract read
PubMed Publisher
In one paragraph

Article in Laboratory investigation; a journal of technical methods and pathology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
2.2field-weighted citation impact, top 13% 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

23 citing papers in PubMed, 32 citations in OpenAlex.

  1. Review
  2. Imaging technologies in experimental pulmonary fibrosis research: essential tool for enhanced translational relevance.European respiratory review : an official journal of the European Respiratory Society · 2025
    Review
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  13. Review
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  15. Molecular Imaging of Pulmonary Inflammation and Infection.International journal of molecular sciences · 2020
    Review
  16. Article
  17. Article
  18. Article
  19. A Multimodal Imaging Approach EnablesAntimicrobial agents and chemotherapy · 2018
    Article
  20. Methodologies forMicrobial cell (Graz, Austria) · 2018
    Review
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

9 authors at 2 institutions in 1 country.

Jennifer PoelmansBiomedical MRI Unit/ MoSAIC, Department of Imaging and Pathology, KU Leuven, Leuven, Belgium.
Amy HillenBiomedical MRI Unit/ MoSAIC, Department of Imaging and Pathology, KU Leuven, Leuven, Belgium.
Liesbeth VanherpBiomedical MRI Unit/ MoSAIC, Department of Imaging and Pathology, KU Leuven, Leuven, Belgium.
Kristof GovaertsBiomedical MRI Unit/ MoSAIC, Department of Imaging and Pathology, KU Leuven, Leuven, Belgium.
Johan MaertensHematology, Department of Immunology and Biology, KU Leuven, Leuven, Belgium.
Tom DresselaersBiomedical MRI Unit/ MoSAIC, Department of Imaging and Pathology, KU Leuven, Leuven, Belgium.
Uwe HimmelreichBiomedical MRI Unit/ MoSAIC, Department of Imaging and Pathology, KU Leuven, Leuven, Belgium.
Katrien LagrouLaboratory of Clinical Bacteriology and Mycology, Department of Microbiology and Immunology, KU Leuven, Leuven, Belgium.
Greetje Vande VeldeBiomedical MRI Unit/ MoSAIC, Department of Imaging and Pathology, KU Leuven, Leuven, Belgium.ORCID 0000-0002-5633-3993
KU Leuven · BEUniversitair Ziekenhuis Leuven · BE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Invasive aspergillosis is an emerging threat to public health due to the increasing use of immune suppressive drugs and the emergence of resistance against antifungal drugs. To deal with this threat, research on experimental disease models provides insight into the pathogenesis of infections caused by susceptible and resistant Aspergillus strains and by assessing their response to antifungal drugs. However, standard techniques used to evaluate infection in a preclinical setting are severely limited by their invasive character, thereby precluding evaluation of disease extent and therapy effects in the same animal. To enable non-invasive, longitudinal monitoring of invasive pulmonary aspergillosis in mice, we optimized computed tomography (CT) and magnetic resonance imaging (MRI) techniques for daily follow-up of neutropenic BALB/c mice intranasally infected with A. fumigatus spores. Based on the images, lung parameters (signal intensity, lung tissue volume and total lung volume) were quantified to obtain objective information on disease onset, progression and extent for each animal individually. Fungal lung lesions present in infected animals were successfully visualized and quantified by both CT and MRI. By using an advanced MR pulse sequence with ultrashort echo times, pathological changes within the infected lung became visually and quantitatively detectable at earlier disease stages, thereby providing valuable information on disease onset and progression with high sensitivity. In conclusion, these non-invasive imaging techniques prove to be valuable tools for the longitudinal evaluation of dynamic disease-related changes and differences in disease severity in individual animals that might be readily applied for rapid and cost-efficient drug screening in preclinical models in vivo.

Indexed as

AnimalsAspergillus fumigatusColony Count, MicrobialDisease Models, AnimalDisease ProgressionGalactoseInvasive Pulmonary AspergillosisLongitudinal StudiesLungMagnetic Resonance ImagingMaleMannansMiceMice, Inbred BALB CSpores, FungalTomography, X-Ray ComputedgalactomannanGalactoseMannans

Identifiers

PMID27019389
OpenAlexW2332711180

What OpenQuestion holds

Textmetadata
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 OpenQuestion graph.