Evidence map›Paper›PMID 29755360›Full record

ArticleFrontiers in physiology2018

Healthy Lung Vessel Morphology Derived From Thoracic Computed Tomography.

Michael Pienn, Caroline Burgard, Christian Payer, Alexander Avian, Martin Urschler, Rudolf Stollberger, Andrea Olschewski, Horst Olschewski, Thorsten Johnson, Felix G Meinel and 1 more

Abstract read
In one paragraph

Article in Frontiers in physiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
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  11. Review
  12. Image-based scaling laws for somatic growth and pulmonary artery morphometry from infancy to adulthood.American journal of physiology. Heart and circulatory physiology · 2020
    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.

Michael PiennLudwig Boltzmann Institute for Lung Vascular Research, Graz, Austria.
Caroline BurgardClinic and Policlinic of Radiology, Ludwig-Maximilians-University Hospital, Munich, Germany.
Christian PayerLudwig Boltzmann Institute for Lung Vascular Research, Graz, Austria.
Alexander AvianInstitute for Medical Informatics, Statistics and Documentation, Medical University of Graz, Graz, Austria.
Martin UrschlerFaculty of Computer Science and Biomedical Engineering, Institute of Computer Graphics and Vision, Graz University of Technology, Graz, Austria.
Rudolf StollbergerFaculty of Computer Science and Biomedical Engineering, Institute of Medical Engineering, Graz University of Technology, Graz, Austria.
Andrea OlschewskiLudwig Boltzmann Institute for Lung Vascular Research, Graz, Austria.
Horst OlschewskiLudwig Boltzmann Institute for Lung Vascular Research, Graz, Austria.
Thorsten JohnsonRadiologie München GbR, Munich, Germany.
Felix G MeinelDepartment of Diagnostic and Interventional Radiology, Rostock University Medical Center, Rostock, Germany.
Zoltán BálintLudwig Boltzmann Institute for Lung Vascular Research, Graz, Austria.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Knowledge of the lung vessel morphology in healthy subjects is necessary to improve our understanding about the functional network of the lung and to recognize pathologic deviations beyond the normal inter-subject variation. Established values of normal lung morphology have been derived from necropsy material of only very few subjects. In order to determine morphologic readouts from a large number of healthy subjects, computed tomography pulmonary angiography (CTPA) datasets, negative for pulmonary embolism, and other thoracic pathologies, were analyzed using a fully-automatic, in-house developed artery/vein separation algorithm. The number, volume, and tortuosity of the vessels in a diameter range between 2 and 10 mm were determined. Visual inspection of all datasets was used to exclude subjects with poor image quality or inadequate artery/vein separation from the analysis. Validation of the algorithm was performed manually by a radiologist on randomly selected subjects. In 123 subjects (men/women: 55/68), aged 59 ± 17 years, the median overlap between visual inspection and fully-automatic segmentation was 94.6% (69.2-99.9%). The median number of vessel segments in the ranges of 8-10, 6-8, 4-6, and 2-4 mm diameter was 9, 34, 134, and 797, respectively. Number of vessel segments divided by the subject's lung volume was 206 vessels/L with arteries and veins contributing almost equally. In women this vessel density was about 15% higher than in men. Median arterial and venous volumes were 1.52 and 1.54% of the lung volume, respectively. Tortuosity was best described with the sum-of-angles metric and was 142.1 rad/m (138.3-144.5 rad/m). In conclusion, our fully-automatic artery/vein separation algorithm provided reliable measures of pulmonary arteries and veins with respect to age and gender. There was a large variation between subjects in all readouts. No relevant dependence on age, gender, or vessel type was observed. These data may provide reference values for morphometric analysis of lung vessels.

Indexed as

artery/vein separationautomated image analysiscomputed tomographyhealthy reference valuesmorphologypulmonary circulation

Identifiers

PMID29755360
PMCPMC5932382

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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.