Evidence map›Paper›PMID 40431493›Full record

ArticleVeterinary sciences2025

Radiomic Feature Characteristics of Ovine Pulmonary Adenocarcinoma.

David Collie, Ziyuan Chang, James Meehan, Steven H Wright, Chris Cousens, Jo Moore, Helen Todd, Jennifer Savage, Helen Brown, Calum D Gray and 5 more

Abstract read
In one paragraph

Article in Veterinary sciences, 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

15 authors.

David CollieThe Roslin Institute and Royal (Dick) School of Veterinary Studies, University of Edinburgh, Easter Bush, Edinburgh EH25 9RG, UK.ORCID 0000-0001-9313-8137
Ziyuan ChangThe Roslin Institute and Royal (Dick) School of Veterinary Studies, University of Edinburgh, Easter Bush, Edinburgh EH25 9RG, UK.
James MeehanThe Roslin Institute and Royal (Dick) School of Veterinary Studies, University of Edinburgh, Easter Bush, Edinburgh EH25 9RG, UK.ORCID 0000-0001-7265-0481
Steven H WrightThe Roslin Institute and Royal (Dick) School of Veterinary Studies, University of Edinburgh, Easter Bush, Edinburgh EH25 9RG, UK.
Chris CousensMoredun Research Institute, Pentlands Science Park, Bush Loan, Penicuik EH26 0PZ, UK.ORCID 0000-0003-3995-5472
Jo MooreMoredun Research Institute, Pentlands Science Park, Bush Loan, Penicuik EH26 0PZ, UK.
Helen ToddMoredun Research Institute, Pentlands Science Park, Bush Loan, Penicuik EH26 0PZ, UK.
Jennifer SavageMoredun Research Institute, Pentlands Science Park, Bush Loan, Penicuik EH26 0PZ, UK.ORCID 0009-0009-3160-1718
Helen BrownThe Roslin Institute and Royal (Dick) School of Veterinary Studies, University of Edinburgh, Easter Bush, Edinburgh EH25 9RG, UK.
Calum D GrayEdinburgh Imaging Facility, Queen's Medical Research Institute, University of Edinburgh, 47 Little France Crescent, Edinburgh EH16 4TJ, UK.ORCID 0000-0002-2816-4707
Tom J MacGillivrayCentre for Clinical Brain Sciences, College of Medicine and Veterinary Medicine, University of Edinburgh, Edinburgh EH16 4SB, UK.
David J GriffithsMoredun Research Institute, Pentlands Science Park, Bush Loan, Penicuik EH26 0PZ, UK.ORCID 0000-0001-9160-0770
Chad E EckertInterventional Oncology, Johnson & Johnson Enterprise Innovation, Inc., One Johnson & Johnson Plaza, New Brunswick, NJ 08933, USA.
Nicole StorerInterventional Oncology, Johnson & Johnson Enterprise Innovation, Inc., One Johnson & Johnson Plaza, New Brunswick, NJ 08933, USA.
Mark GrayThe Roslin Institute and Royal (Dick) School of Veterinary Studies, University of Edinburgh, Easter Bush, Edinburgh EH25 9RG, UK.ORCID 0000-0003-2035-1425

Funding

Biotechnology and Biological Sciences Research Council BB/ X010937/1Johnson & Johnson N/ANHS Research Scotland N/AScottish Government Rural and Environment Science and Analytical Services Division N/A
6 · The paper itself

Abstract

Radiomic feature (RF) analysis of computed tomography (CT) images may aid the diagnosis and staging of ovine pulmonary adenocarcinoma (OPA). We assessed the RF characteristics of OPA tumours in JSRV-infected sheep compared to non-tumour lung tissues, examined their stability over time, and analysed RF variations in the nascent tumour field (NTF) and nascent tumour margin field (NTmF). In monthly CT scans, lung tissues were automatically segmented by density, and lung tumours were manually segmented. RFs were calculated for each imaging session, selected according to stability and reproducibility, and adjusted for volume dependence where appropriate. Comparisons between scans within sheep were facilitated through fiducial registration and spatial transformations. Initially, 9/36 RFs differed significantly from non-tumour lung tissue of similar density. Predominant RF changes included ngtdm_Complexity, glrlm_RunLNUnif_VN, and gldm_SmDHGLE. RFs in lung tumour segments showed time-dependent changes, whereas non-tumour lung tissue of similar density remained consistent. OPA lung tumour RF characteristics are distinct from those of other lung tissues of similar density and evolve as the tumour develops. Such characteristics suggest that radiomic analysis offers potential for the early detection and management of JSRV-related lung tumours. This research enhances the understanding of OPA imaging, potentially informing better diagnosis and control measures for naturally occurring infections.

Indexed as

computed tomographylungovine pulmonary adenocarcinomaradiomic featuressheep

Identifiers

PMID40431493
PMCPMC12115574

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.