Evidence map›Paper›PMID 40878790›Full record

ArticleBritish journal of haematology2025

Next-generation morphology, a novel multilayer morphometric digital analysis, reveals both the basic topology and new trends of myelodysplasia of peripheral blood specimens.

Ben-Zion Katz, Yakir Moshe, Dan Benisty, Efrat Luttwak, Merav Brazilai, Howard S Oster, Olga Pozdnyakova, Moshe Mittelman, Irit Avivi

Abstract read
In one paragraph

Article in British journal of haematology, 2025. 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.

Ben-Zion KatzDivision of Hematology, Tel Aviv Sourasky Medical Center, Tel Aviv, Israel.ORCID https://orcid.org/0000-0001-5058-943X
Yakir MosheDivision of Hematology, Tel Aviv Sourasky Medical Center, Tel Aviv, Israel.
Dan BenistyDivision of Hematology, Tel Aviv Sourasky Medical Center, Tel Aviv, Israel.
Efrat LuttwakDivision of Hematology, Tel Aviv Sourasky Medical Center, Tel Aviv, Israel.ORCID https://orcid.org/0000-0003-0212-2135
Merav BrazilaiDivision of Hematology, Tel Aviv Sourasky Medical Center, Tel Aviv, Israel.
Howard S OsterFaculty of Medicine, Tel Aviv University, Tel Aviv, Israel.ORCID https://orcid.org/0000-0003-1936-4675
Olga PozdnyakovaDepartment of Pathology and Laboratory Medicine, Hospital of the University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Moshe MittelmanDivision of Hematology, Tel Aviv Sourasky Medical Center, Tel Aviv, Israel.
Irit AviviDivision of Hematology, Tel Aviv Sourasky Medical Center, Tel Aviv, Israel.ORCID https://orcid.org/0000-0001-8663-444X

Funding

Israel Innovation Authority 68113
6 · The paper itself

Abstract

Traditional microscopy compromises between resolution and field of view, limiting its diagnostic sensitivity. We present here next-generation morphology (NGM), a novel five-layer analytical approach leveraging a physical solution that enables high-resolution, large-field digital imaging, data mining and analysis of blood specimens. To test NGM performance, peripheral blood smears (PBS) from 37 myelodysplastic syndrome (MDS) patients and 30 age-matched controls were analysed. PBS topology was mapped to identify regions optimal for analysis. Red blood cells (RBCs) displayed a gradient distribution with a narrow zone suitable for accurate morphological assessment. NGM facilitated direct morphometric measurements of individual red and white blood cells (RBCs and WBCs), which were correlated with clinical variables. Significant morphometric differences were found between MDS and controls, particularly in RBC size, shape and neutrophil granularity and subpopulations profile. WBC differentials based on 1000 WBC significantly elevated blasts detection compared to conventional 100-WBC counts. Multivariate analysis linked RBC morphometrics with high-risk MDS. In summary, NGM overcomes traditional microscopy limitations, offering high-resolution, large-field imaging for sensitive digital morphometry of PBS. This technology can enhance the detection and quantitative characterization of haematological abnormalities, thereby contributing to the understanding of MDS physiology, and may support early detection of dysplasia in PBS.

Indexed as

Image Processing, Computer-AssistedMyelodysplastic SyndromesAdultAgedAged, 80 and overCase-Control StudiesErythrocytesFemaleHumansLeukocyte CountLeukocytesMaleMicroscopyMiddle Agedblood morphologyblood smearscomputer visionMDSred blood cells

Identifiers

PMID40878790
PMCPMC12710140

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

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.