Evidence map›Paper›PMID 26638165›Full record

ArticleEuropean radiology2016

Normal spectrum of pulmonary parametric response map to differentiate lung collapsibility: distribution of densitometric classifications in healthy adult volunteers.

Mario Silva, Stefan F Nemec, Valerie Dufresne, Mariaelena Occhipinti, Benedikt H Heidinger, Ryan Chamberlain, Alexander A Bankier

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Article in European radiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.0field-weighted citation impact, top 21% 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

4 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
  2. Contributions of Emphysema and Functional Small Airway Disease on Intrapulmonary Vascular Volume in COPD.International journal of chronic obstructive pulmonary disease · 2022
    Article
  3. Review
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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

7 authors at 5 institutions in 4 countries.

Mario SilvaSection of Cardiothoracic Imaging, Department of Radiology, Beth Israel Deaconess Medical Center, 330 Brookline Ave, Boston, MA, 02215, USA. mariosilvamed@gmail.com.ORCID http://orcid.org/0000-0002-2538-7032
Stefan F NemecDepartment of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Waehringer Guertel 18-20, A-1090, Vienna, Austria.
Valerie DufresnePneumologie, CHU de Charleroi - Hôpital Vésale, Rue de Gozé 706, 6110, Montigny-le-Tilleul, Belgium.
Mariaelena OcchipintiSection of Cardiothoracic Imaging, Department of Radiology, Beth Israel Deaconess Medical Center, 330 Brookline Ave, Boston, MA, 02215, USA.
Benedikt H HeidingerSection of Cardiothoracic Imaging, Department of Radiology, Beth Israel Deaconess Medical Center, 330 Brookline Ave, Boston, MA, 02215, USA.
Ryan ChamberlainImbio, 227 Colfax Ave North, Suite 144, Minneapolis, MN, USA.
Alexander A BankierSection of Cardiothoracic Imaging, Department of Radiology, Beth Israel Deaconess Medical Center, 330 Brookline Ave, Boston, MA, 02215, USA.
Beth Israel Deaconess Medical Center · USHôpital Civil de Charleroi · BEImbio (United States) · USMedical University of Vienna · ATUniversity of Parma · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesPulmonary parametric response map (PRM) was proposed for quantitative densitometric phenotypization of chronic obstructive pulmonary disease. However, little is known about this technique in healthy subjects. The purpose of this study was to describe the normal spectrum of densitometric classification of pulmonary PRM in a group of healthy adults.

methods15 healthy volunteers underwent spirometrically monitored chest CT at total lung capacity (TLC) and functional residual capacity (FRC). The paired CT scans were analyzed by PRM for voxel-by-voxel characterization of lung parenchyma according to 4 densitometric classifications: normal lung (TLC ≥ -950 HU, FRC ≥ -856 HU); expiratory low attenuation area (LAA) (TLC ≥ -950 HU, FRC < -856 HU); dual LAA (TLC<-950 HU, FRC < -856 HU); uncharacterized (TLC < -950 HU, FRC ≥ -856 HU).

resultsPRM spectrum was 78 % ± 10 % normal lung, 20 % ± 8 % expiratory LAA, and 1 % ± 1 % dual LAA. PRM was similar between genders, there was moderate correlation between dual LAA and spirometrically assessed TLC (R = 0.531; p = 0.042), and between expiratory LAA and VolExp/Insp ratio (R = -0.572; p = 0.026).

conclusionsPRM reflects the predominance of normal lung parenchyma in a group of healthy volunteers. However, PRM also confirms the presence of physiological expiratory LAA seemingly related to air trapping and a minimal amount of dual LAA likely reflecting emphysema. KEY POINTS: • Co-registration of inspiratory and expiratory computed tomography allows dual-phase densitometry. • Dual-phase co-registered densitometry reflects heterogeneous regional changes in lung function. • Quantification of lung in healthy subjects is needed to set reference values. • Expiratory low attenuation areas <30 % could be considered within normal range.

Indexed as

AdultAgedDensitometryExhalationFemaleHealthy VolunteersHumansLungMaleMiddle AgedPulmonary AtelectasisPulmonary Disease, Chronic ObstructivePulmonary EmphysemaRespiratory Function TestsTomography, X-Ray ComputedTotal Lung CapacityDensitometryHealthy subjectsLungObstructive lung diseasesVolumetric computed tomography

Identifiers

PMID26638165
OpenAlexW2259951538

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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.