Evidence map›Paper›PMID 32067430›Full record

ArticleAnnals of laboratory medicine2020

Development of an Automated Image Analyzer for Microvessel Density Measurement in Bone Marrow Biopsies.

Yousun Chung, Seungwon Shin, Hyoeun Shim, Ji Yeon Sohn, Dong Eun Lee, Hyewon Lee, Hyeon Seok Eom, Kwang Gi Kim, Sun Young Kong

Abstract read
In one paragraph

Article in Annals of laboratory medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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

1 citing paper in PubMed.

  1. 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

9 authors.

Yousun Chung *Department of Laboratory Medicine, Kangdong Sacred Heart Hospital, Seoul, Korea.ORCID https://orcid.org/0000-0002-5197-6340
Seungwon Shin *Optical Research Team, Magok R&D Campus, Z-tec Co., Ltd., Seoul, Korea.ORCID https://orcid.org/0000-0002-4389-592X
Hyoeun ShimDepartment of Laboratory Medicine, Center for Diagnostic Oncology, Hospital and Research Institute, National Cancer Center, Goyang, Korea.ORCID https://orcid.org/0000-0002-8985-0882
Ji Yeon SohnDepartment of Laboratory Medicine, Eone Laboratories, Incheon, Korea.ORCID https://orcid.org/0000-0003-3457-9834
Dong Eun LeeBiostatistics Collaboration Team, Research Institute, National Cancer Center, Goyang, Korea.ORCID https://orcid.org/0000-0001-8525-7494
Hyewon LeeDepartment of Hematology-Oncology, Center for Hematologic Malignancy, National Cancer Center, Goyang, Korea.ORCID https://orcid.org/0000-0002-9562-4101
Hyeon Seok EomDepartment of Hematology-Oncology, Center for Hematologic Malignancy, National Cancer Center, Goyang, Korea.ORCID https://orcid.org/0000-0002-0484-2067
Kwang Gi KimDepartment of Medical Engineering, Gachon University, Incheon, Korea. kimkg@gachon.ac.kr.ORCID https://orcid.org/0000-0001-9714-6038
Sun Young KongDepartment of Laboratory Medicine, Center for Diagnostic Oncology, Hospital and Research Institute, National Cancer Center, Goyang, Korea. ksy@ncc.re.kr.ORCID https://orcid.org/0000-0003-0620-4058

Funding

National Research Foundation of Korea 2014R1A2A2A01002553National Research Foundation of Korea NCCCDA2015-02
6 · The paper itself

Abstract

Angiogenesis is important for the proliferation and survival of multiple myeloma (MM) cells. Bone marrow (BM) microvessel density (MVD) is a useful marker of angiogenesis and an increase in MVD can be used as a marker of poor prognosis in MM patients. We developed an automated image analyzer to assess MVD from images of BM biopsies stained with anti-CD34 antibodies using two color models. MVD was calculated by merging images from the red and hue channels after eliminating non-microvessels. The analyzer results were compared with those obtained by two experienced hematopathologists in a blinded manner using the 84 BM samples of MM patients. Manual assessment of the MVD by two hematopathologists yielded mean±SD values of 19.4±11.8 and 20.0±11.8. The analyzer generated a mean±SD of 19.5±11.2. The intraclass correlation coefficient (ICC) and Bland-Altman plot of the MVD results demonstrated very good agreement between the automated image analyzer and both hematopathologists (ICC=0.893 [0.840-0.929] and ICC=0.906 [0.859-0.938]). This automated analyzer can provide time- and labor-saving benefits with more objective results in hematology laboratories.

Indexed as

AntibodiesAntigens, CD34AutomationBone MarrowHumansImage Processing, Computer-AssistedMicrovascular DensityMultiple MyelomaPrognosisAntibodiesAntigens, CD34AnalyzerAutomationBone marrowDevelopmentMicrovessel densityMultiple myeloma

Identifiers

PMID32067430
PMCPMC7054689

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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.