Evidence map›Paper›PMID 31631998›Full record

ArticleInternational journal of chronic obstructive pulmonary disease2019

Quantitative Emphysema Measurement On Ultra-High-Resolution CT Scans.

Yanyan Xu, Tsuneo Yamashiro, Hiroshi Moriya, Shun Muramatsu, Sadayuki Murayama

Abstract read
In one paragraph

Article in International journal of chronic obstructive pulmonary disease, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
–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

13 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

5 authors.

Yanyan XuDepartment of Radiology, Graduate School of Medical Science, University of the Ryukyus, Okinawa, Japan.ORCID 0000-0002-2029-7521
Tsuneo YamashiroDepartment of Radiology, Graduate School of Medical Science, University of the Ryukyus, Okinawa, Japan.ORCID 0000-0002-1904-2548
Hiroshi MoriyaDepartment of Radiology, Ohara General Hospital, Fukushima, Japan.
Shun MuramatsuDepartment of Radiology, Ohara General Hospital, Fukushima, Japan.
Sadayuki MurayamaDepartment of Radiology, Graduate School of Medical Science, University of the Ryukyus, Okinawa, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: To evaluate the advantages of ultra-high-resolution computed tomography (U-HRCT) scans for the quantitative measurement of emphysematous lesions over conventional HRCT scans. Materials and methods: This study included 32 smokers under routine clinical care who underwent chest CT performed by a U-HRCT scanner. Chronic obstructive pulmonary disease (COPD) was diagnosed in 13 of the 32 participants. Scan data were reconstructed by 2 different protocols: i) U-HRCT mode with a 1024×1024 matrix and 0.25-mm slice thickness and ii) conventional HRCT mode with a 512×512 matrix and 0.5-mm slice thickness. On both types of scans, lesions of emphysema were quantitatively assessed as percentage of low attenuation volume (LAV%, <-950 Hounsfield units). LAV% values determined for scan data from the U-HRCT and conventional HRCT modes were compared by the Wilcoxon matched-pairs signed rank test. The association between LAV% and forced expiratory volume in 1 s per forced vital capacity (FEV Results: Mean values for LAV% determined for the U-HRCT and conventional HRCT modes were 8.9 ± 8.8% and 7.3 ± 8.4%, respectively ( Conclusion: Compared with conventional HRCT scans, U-HRCT scans reveal emphysematous lesions in greater detail, and provide slightly increased correlation with airflow limitation.

Indexed as

AgedAged, 80 and overEmphysemaFemaleForced Expiratory VolumeHumansMaleMiddle AgedRetrospective StudiesTomography, X-Ray ComputedVital Capacitychronic obstructive pulmonary diseasecomputed tomographyemphysemaquantitative measurementultra-high-resolution CT

Identifiers

PMID31631998
PMCPMC6790117

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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.