Evidence map›Paper›PMID 26445535›Full record

ArticleInternational journal of chronic obstructive pulmonary disease2015

Automated continuous quantitative measurement of proximal airways on dynamic ventilation CT: initial experience using an ex vivo porcine lung phantom.

Tsuneo Yamashiro, Maho Tsubakimoto, Yukihiro Nagatani, Hiroshi Moriya, Kotaro Sakuma, Shinsuke Tsukagoshi, Hiroyasu Inokawa, Tatsuya Kimoto, Ryuichi Teramoto, Sadayuki Murayama

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In one paragraph

Article in International journal of chronic obstructive pulmonary disease, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.7field-weighted citation impact, top 16% 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

7 citing papers in PubMed, 12 citations in OpenAlex.

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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

10 authors at 4 institutions in 1 country.

Tsuneo YamashiroDepartment of Radiology, Graduate School of Medical Science, University of the Ryukyus, Nishihara, Okinawa, Japan.
Maho TsubakimotoDepartment of Radiology, Graduate School of Medical Science, University of the Ryukyus, Nishihara, Okinawa, Japan.
Yukihiro NagataniDepartment of Radiology, Shiga University of Medical Science, Otsu, Japan.
Hiroshi MoriyaDepartment of Radiology, Ohara General Hospital, Fukushima, Japan.
Kotaro SakumaDepartment of Radiology, Ohara General Hospital, Fukushima, Japan.
Shinsuke TsukagoshiCT Systems Division, Toshiba Medical Systems Corporation, Otawara, Japan.
Hiroyasu InokawaCenter for Medical Research and Development, Toshiba Medical Systems Corporation, Otawara, Japan.
Tatsuya KimotoCenter for Medical Research and Development, Toshiba Medical Systems Corporation, Otawara, Japan.
Ryuichi TeramotoCorporate Manufacturing Engineering Center, Toshiba Corporation, Yokohama, Japan.
Sadayuki MurayamaDepartment of Radiology, Graduate School of Medical Science, University of the Ryukyus, Nishihara, Okinawa, Japan.
Toshiba (Japan) · JPUniversity of the Ryukyus · JPSeirei Hamamatsu General Hospital · JPShiga University of Medical Science · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe purpose of this study was to evaluate the feasibility of continuous quantitative measurement of the proximal airways, using dynamic ventilation computed tomography (CT) and our research software.

methodsA porcine lung that was removed during meat processing was ventilated inside a chest phantom by a negative pressure cylinder (eight times per minute). This chest phantom with imitated respiratory movement was scanned by a 320-row area-detector CT scanner for approximately 9 seconds as dynamic ventilatory scanning. Obtained volume data were reconstructed every 0.35 seconds (total 8.4 seconds with 24 frames) as three-dimensional images and stored in our research software. The software automatically traced a designated airway point in all frames and measured the cross-sectional luminal area and wall area percent (WA%). The cross-sectional luminal area and WA% of the trachea and right main bronchus (RMB) were measured for this study. Two radiologists evaluated the traceability of all measurable airway points of the trachea and RMB using a three-point scale.

resultsIt was judged that the software satisfactorily traced airway points throughout the dynamic ventilation CT (mean score, 2.64 at the trachea and 2.84 at the RMB). From the maximum inspiratory frame to the maximum expiratory frame, the cross-sectional luminal area of the trachea decreased 17.7% and that of the RMB 29.0%, whereas the WA% of the trachea increased 6.6% and that of the RMB 11.1%.

conclusionIt is feasible to measure airway dimensions automatically at designated points on dynamic ventilation CT using research software. This technique can be applied to various airway and obstructive diseases.

Indexed as

AnimalsCross-Sectional StudiesFour-Dimensional Computed TomographyJapanLungSoftwareSwineairwaycomputed tomographyCOPDdynamic ventilation CTluminal areawall area percent

Identifiers

PMID26445535
PMCPMC4590570
OpenAlexW1816300395

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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.