Evidence map›Paper›PMID 30157833›Full record

Observational studyBMC pulmonary medicine2018

Fractal analysis of low attenuation clusters on computed tomography in chronic obstructive pulmonary disease.

Naoya Tanabe, Shigeo Muro, Susumu Sato, Tsuyoshi Oguma, Atsuyasu Sato, Toyohiro Hirai

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in BMC pulmonary medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.6field-weighted citation impact, top 10% 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

9 citing papers in PubMed, 22 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Observational
  9. Annual Body Weight Change and Prognosis in Chronic Obstructive Pulmonary Disease.International journal of chronic obstructive pulmonary disease
    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

6 authors at 1 institution in 1 country.

Naoya TanabeDepartment of Respiratory Medicine, Graduate School of Medicine, Kyoto University, 54 Kawahara-cho, Shogoin, Sakyo-ku, Kyoto, 606-8507, Japan. ntana@kuhp.kyoto-u.ac.jp.ORCID http://orcid.org/0000-0002-7481-0212
Shigeo MuroDepartment of Respiratory Medicine, Graduate School of Medicine, Kyoto University, 54 Kawahara-cho, Shogoin, Sakyo-ku, Kyoto, 606-8507, Japan.
Susumu SatoDepartment of Respiratory Medicine, Graduate School of Medicine, Kyoto University, 54 Kawahara-cho, Shogoin, Sakyo-ku, Kyoto, 606-8507, Japan.
Tsuyoshi OgumaDepartment of Respiratory Medicine, Graduate School of Medicine, Kyoto University, 54 Kawahara-cho, Shogoin, Sakyo-ku, Kyoto, 606-8507, Japan.
Atsuyasu SatoDepartment of Respiratory Medicine, Graduate School of Medicine, Kyoto University, 54 Kawahara-cho, Shogoin, Sakyo-ku, Kyoto, 606-8507, Japan.
Toyohiro HiraiDepartment of Respiratory Medicine, Graduate School of Medicine, Kyoto University, 54 Kawahara-cho, Shogoin, Sakyo-ku, Kyoto, 606-8507, Japan.
Kyoto University · JP

Funding

Japan Society for the Promotion of Science No. 16K09536Japan Society for the Promotion of Science No. 17H06807
6 · The paper itself

Abstract

backgroundThe fractal dimension characterizing the cumulative size distribution of low attenuation area (LAA) clusters, identified with a fixed threshold such as - 950 Hounsfield Units (HU), on computed tomography (CT) sensitively detects parenchymal destruction in chronic obstructive pulmonary disease (COPD) even when the percent LAA (LAA%), a standard emphysema index, is unchanged. This study examines whether the cumulative size distribution of LAA clusters, defined with thresholds of the 15th, 25th, and 35th percentiles of a CT density histogram instead of the fixed-threshold of - 950 HU, exhibits a fractal property and whether its fractal dimension (D'15, D'25, and D'35, respectively) provides additional structural information in emphysematous lungs that is difficult to detect with the conventional - 950-HU-based fractal dimension (D950).

methodsChest inspiratory CT scans and pulmonary functions were cross-sectionally examined in 170 COPD subjects. A proxy for the inspiration level at CT scan was obtained by dividing CT-measured total lung volume (CT-TLV) by physiologically measured total lung capacity. Moreover, long-term (> 5 years) changes in D950 and the new fractal dimensions were longitudinally evaluated in 17 current and 42 former smokers with COPD.

resultsD950, but not D'15, D'25, or D'35 was weakly correlated with the proxy for the inspiration. D950, D'25, and D'35 but not D'15 correlated with LAA% and diffusion capacity. In the long-term longitudinal study, LAA% was increased and D950 and D'35 were decreased in both current and former smokers, while D'25 was decreased only in current smokers and D'15 was not changed in either group. The longitudinal changes in D'25 but not those in LAA%, D950, D'15, and D'35 were greater in current smokers than in former smokers. This greater change in D'25 in current smokers was confirmed after adjusting the change in CT-TLV and the baseline D'25.

conclusionsD'25 reflects diffusion capacity in emphysematous lungs and is robust against inspiration levels during CT scans. This new fractal dimension might provide additional structural information that is difficult to detect with the conventional D950 and LAA% and allow for more sensitive evaluation of emphysema progression over time.

Indexed as

AgedCross-Sectional StudiesFemaleFractalsHumansLongitudinal StudiesLungMaleMiddle AgedProspective StudiesPulmonary Disease, Chronic ObstructiveRespiratory Function TestsRetrospective StudiesSmokersTomography, X-Ray ComputedChronic obstructive pulmonary diseaseComputed tomographyEmphysemaFractalImagingRadiography

Identifiers

PMID30157833
PMCPMC6116481
OpenAlexW2889018196

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.