Evidence map›Paper›PMID 35145978›Full record

ArticleFrontiers in medicine2021

Measurement for the Area of Red Blood Cells From Microscopic Images Based on Image Processing Technology and Its Applications in Aplastic Anemia, Megaloblastic Anemia, and Myelodysplastic Syndrome.

Yongfeng Zhao, Tingting Huang, Xian Wang, Qianjun Chen, Hui Shen, Bei Xiong

Open access · goldAbstract read
In one paragraph

Article in Frontiers in medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.6field-weighted citation impact, top 34% 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

3 citing papers in PubMed, 6 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

6 authors at 4 institutions in 1 country.

Yongfeng ZhaoDepartment of Hematology, Zhongnan Hospital of Wuhan University, Wuhan, China.
Tingting HuangDepartment of Hematology, Zhongnan Hospital of Wuhan University, Wuhan, China.
Xian WangDepartment of Pharmacy, The First Affiliated Hospital of Yangtze University, Jingzhou, China.
Qianjun ChenNational Engineering Research Center for E-Learning, Central China Normal University, Wuhan, China.
Hui ShenDepartment of Hematology, Zhongnan Hospital of Wuhan University, Wuhan, China.
Bei XiongDepartment of Hematology, Zhongnan Hospital of Wuhan University, Wuhan, China.
Wuhan University · CNYangtze University · CNCentral China Normal University · CNZhongnan Hospital of Wuhan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAplastic anemia (AA), megaloblastic anemia (MA), and myelodysplastic syndrome (MDS) were common anemic diseases. Sometimes it was difficult to distinguish patients with these diseases.

methodsIn this article, we proposed one measurement method for the area of red blood cells (RBCs) from microscopic images based on image processing technology and analyzed the differences of the area in 25 patients with AA, 64 patients with MA, and 68 patients with MDS.

resultsThe area of RBCs was 44.19 ± 3.88, 42.09 ± 5.35, 52.87 ± 7.68, and 45.75 ± 8.07 μm

conclusionIdentifying the area of RBCs in peripheral blood smears based on the image processing technology could achieve rapid and efficient diagnostic support for patients with MDS and MA, especially for patients with MA and in combination with MCV. However, a larger sample study is needed to find the cutoff area values.

Indexed as

aplastic anemiaarea of red blood cellsimage processing technologymegaloblastic anemiamyelodysplastic syndrome

Identifiers

PMID35145978
PMCPMC8822214
OpenAlexW4206909730

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LicenceCC BY
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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.