Evidence map›Paper›PMID 39868424›Full record

ArticleHistology and histopathology2025

Use of digital image analysis to improve rigor and efficiency of physeal bone growth measurements.

Grant Ozaki, Jay Byrd, Bria Foley, Alexander Farell, Garret Williams, Max Twedt, James Sypherd, Ellen Leiferman, Cameron Jeffers, Matthew A Halanski

Abstract read
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Article in Histology and histopathology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

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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

10 authors.

Grant OzakiUniversity of Nebraska Medical Center, Omaha, NE, USA.
Jay ByrdUniversity of Nebraska Medical Center, Omaha, NE, USA.
Bria FoleyUniversity of Nebraska Medical Center, Omaha, NE, USA.
Alexander FarellUniversity of Nebraska Medical Center, Omaha, NE, USA.
Garret WilliamsUniversity of Nebraska Medical Center, Omaha, NE, USA.
Max TwedtUniversity of Nebraska Medical Center, Omaha, NE, USA.
James SypherdArizona State University, Tempe, AZ, USA.
Ellen LeifermanUniversity of Wisconsin-Madison, Madison WI, USA.
Cameron JeffersUniversity of Arizona, Phoenix, AZ, USA.
Matthew A HalanskiUniversity of Arizona, Phoenix, AZ, USA. halanski@arizona.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In larger, translational animal models, manual measurements of longitudinal bone growth using fluorochrome labels is tedious and may be prone to less rigor due to variations in reader experience, sampling differences, and photobleaching that limits the repeatability of measurements. This study assesses the reliability of three different digital methods to assist in measurement of distance between pulsed fluorochrome labels. Forty-five tibial physes from skeletally immature New Zealand White rabbits were pulsed with fluorochrome labels and measured using Fully Manual Technique (FMT), Manual Digital Measurement (MDM), Computer Assisted Image Processing (AIP), and Fully Automated Measurement (FAM). Pearson's correlation coefficient and Bland-Altman analysis were used to analyze the different methods. Intraclass correlation coefficient (ICC) assessed inter- and intra-reader reliability. Regardless of the method, all growth rate measurement techniques exhibited excellent agreement and reliability. The computer assisted methods allowed rapid data acquisition without compromising reliability, thereby improving efficiency in bone growth research. Clinical Significance: Distances between fluorochrome bone labels on large samples can be reliably measured using digital imaging and processing techniques.

Indexed as

Bone DevelopmentGrowth PlateImage Processing, Computer-AssistedTibiaAnimalsFluorescent DyesRabbitsReproducibility of ResultsFluorescent Dyes

Identifiers

PMID39868424

What OpenQuestion holds

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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.