Evidence map›Paper›PMID 41836565›Full record

ArticleJournal of orthopaedic translation2026

Spatially resolved single-cell-based histocytomorphometry for growth plate analysis across multiple species.

Hantang Wang, Lanlan Zhang, Yuqi Zhang, Wei Wang, Junguo Ni, Jun Liu, Weiyuan Gong, Man Ting Au, Martin Ho Yin Yeung, Huiling Cao and 1 more

Abstract read
In one paragraph

Article in Journal of orthopaedic translation, 2026. 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

11 authors.

Hantang WangDepartment of Biomedical Engineering, Faculty of Engineering, The Hong Kong Polytechnic University, Hong Kong Special Administrative Region of China.
Lanlan ZhangDepartment of Biomedical Engineering, Faculty of Engineering, The Hong Kong Polytechnic University, Hong Kong Special Administrative Region of China.
Yuqi ZhangDepartment of Biomedical Engineering, Faculty of Engineering, The Hong Kong Polytechnic University, Hong Kong Special Administrative Region of China.
Wei WangDepartment of Biomedical Engineering, Faculty of Engineering, The Hong Kong Polytechnic University, Hong Kong Special Administrative Region of China.
Junguo NiDepartment of Biomedical Engineering, Faculty of Engineering, The Hong Kong Polytechnic University, Hong Kong Special Administrative Region of China.
Jun LiuDepartment of Biomedical Engineering, Faculty of Engineering, The Hong Kong Polytechnic University, Hong Kong Special Administrative Region of China.
Weiyuan GongDepartment of Biomedical Engineering, Faculty of Engineering, The Hong Kong Polytechnic University, Hong Kong Special Administrative Region of China.
Man Ting AuDepartment of Biomedical Engineering, Faculty of Engineering, The Hong Kong Polytechnic University, Hong Kong Special Administrative Region of China.
Martin Ho Yin YeungDepartment of Health Technology and Informatics, The Hong Kong Polytechnic University, Hong Kong Special Administrative Region of China.
Huiling CaoDepartment of Biochemistry, School of Medicine, Southern University of Science and Technology, Guangdong Province, China.
Chunyi WenDepartment of Biomedical Engineering, Faculty of Engineering, The Hong Kong Polytechnic University, Hong Kong Special Administrative Region of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Current methods to assess growth plate predominantly rely on rudimentary metrics such as tissue thickness, which fail to capture the dynamic, spatial and functional heterogeneity of chondrocyte populations during endochondral ossification. To address this gap, we developed a computational histomorphometric pipeline (Growth Plate Professional Analyzer, "GP Pro"), designed to quantify chondrocyte kinetics and maturation gradients at single-cell resolution using routine histological tissue sections. Methods: GP Pro integrates three automated modules: (1) batch processing of whole-slide images (WSIs) with growth plate localization, (2) segmentation of the growth plate using Segment Anything Model 2 (SAM2), and (3) single-cell lacunae analysis to extract morphometric and spatial distribution features across differentiation stages. For GP PRO's feasibility study, we conducted high-throughput testing on mouse/hamster/rat knee sections stained with Safranin-O/fastgreen (Safranin-O) and Hematoxylin & Eosin (H&E) to evaluate the computational efficiency and accuracy of the whole system and built-in functions. For GP PRO's application validation, tibial growth plates from normotensive Wistar-Kyoto (WKY) and spontaneously hypertensive rats (SHRs) were tested by the pipeline, correlating outputs with histochemical staining and micro-CT scanning results. Results: GP PRO demonstrates satisfactory computational efficiency, with a processing time as low as 3.6 s per section and achieves an end-to-end automated processing success rate of above 95 %. Additionally, it boasts an average chondrocyte identification accuracy of 90.28 % and a macro-precision of 94.76 % in cell classification. In the application of SHR, GP Pro revealed a 4.03 percentage points increase in proliferative chondrocyte proportion (p < 0.05; 95 % CI: 0.59-7.47) and the presence of aberrantly elongated pre-hypertrophic chondrocytes at 3-month-old, indicative of maturation arrest. These cellular perturbations aligned with micro-CT showing a 36.04 percentage points decrease in primary spongiosa bone volume fraction (p < 0.001; 95 % CI: 30.10-41.97), suggesting compromised osteogenic coupling. Histology confirmed premature hyperproliferation and delayed hypertrophic differentiation in SHR growth plates. Conclusion: GP Pro establishes a scalable platform for mapping chondrocyte behavior in situ, enabling unprecedented resolution of growth plate pathobiology. By linking hypertrophic differentiation delays to trabecular bone deficits in hypertension, this tool advances mechanistic studies of endochondral ossification and offers translational potential for diagnosing growth disorders or monitoring therapeutic interventions in multiple species. The Translational Potential of this Article: This study introduces GP Pro, an AI-driven histomorphometric platform that bridges pre-clinical research and clinical applications by enabling high-throughput, single-cell resolution analysis of growth plate dynamics directly from WSIs.

Indexed as

Comparative biologyEndochondral ossificationGrowth plateHistocytomorphometrySingle-cell analysisSpatial biology

Identifiers

PMID41836565
PMCPMC12988500

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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.