Evidence map›Paper›PMID 38223084›Full record

ArticleQuantitative imaging in medicine and surgery2024

Quantitative assessment of pneumothorax by using Shannon entropy of lung ultrasound M-mode image and diaphragmatic excursion based on automated measurement.

Jui Fang, Yu-Cheng Shen, Yen-Nien Ting, Hsin-Yuan Fang, Yi-Wen Chen

Open access · diamondAbstract read
In one paragraph

Article in Quantitative imaging in medicine and surgery, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.4field-weighted citation impact, top 35% 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

0 citing papers in PubMed, 2 citations in OpenAlex.

No citing paper in PubMed yet.

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 at 2 institutions in 1 country.

Jui Fang *Research & Development Center for x-Dimensional Extracellular Vesicles, China Medical University Hospital, Taichung City.
Yu-Cheng Shen *Division of Thoracic Surgery, Department of Surgery, China Medical University Hospital, Taichung City.
Yen-Nien TingResearch & Development Center for x-Dimensional Extracellular Vesicles, China Medical University Hospital, Taichung City.
Hsin-Yuan FangDivision of Thoracic Surgery, Department of Surgery, China Medical University Hospital, Taichung City.
Yi-Wen ChenResearch & Development Center for x-Dimensional Extracellular Vesicles, China Medical University Hospital, Taichung City.
China Medical University Hospital · TWChina Medical University · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Lung ultrasound (LUS) and diaphragm ultrasound (DUS) are the appropriate modalities for conservative observation to those patients who are with stable pneumothorax, as well as for the timely detection of life-threatening pneumothorax at any location, due to they are portable, real-time, relatively cost effective, and most important, without radiation exposure. The absence of lung sliding on LUS M-mode images and the abnormality of diaphragmatic excursion (DE) on DUS M-mode images are the most common and novel diagnostic criteria for pneumothorax, respectively. However, visual inspection of M-mode images remains subjective and quantitative analysis of LUS and DUS M-mode images are required. Methods: Shannon entropy of LUS M-mode image (ShanEn Results: ShanEn Conclusions: Our findings imply that the combination of ShanEn

Indexed as

diaphragmatic excursion (DE)diaphragm ultrasound (DUS)lung ultrasound M-mode image (LUS M-mode image)PneumothoraxShannon entropy (ShanEn)

Identifiers

PMID38223084
PMCPMC10784102
OpenAlexW4390426562

What OpenQuestion holds

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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.