Diagnostic Performance of Digital Tomosynthesis for Detecting Osteophytes and Subchondral Bone Changes in the Equine Distal Interphalangeal and Metacarpophalangeal Joints

Osteoarthritis is a common cause of equine lameness and can involve periarticular osteophytes and subchondral bone (SB) changes. This exploratory ex vivo study evaluated the diagnostic performance of digital tomosynthesis (DT) for detecting these findings in the distal interphalangeal and metacarpophalangeal joints, using computed tomography (CT) classifications as the reference. Sixteen distal forelimbs from nine adult horses underwent imaging with both modalities under simulated weight-bearing conditions. Three independent observers graded osteophytes and SB changes, and the scores were dichotomised as absent or present for analysis. The primary analysis used a majority-based CT reference, defined by agreement of at least two observers. Observer-specific comparisons and within-observer DT–CT agreement were evaluated in a secondary analysis. In the primary analysis, sensitivity ranged from 23.1% (95% CI 9.5–39.3%) to 34.6% (95% CI 13.8–56.0%), specificity from 94.1% to 96.1%, Youden’s index from 19.2% to 30.7%, and Cohen’s κ from 0.249 to 0.377. Sensitivity was numerically higher for osteophytes than for SB changes for all three observers, without formal comparison. DT missed many CT-positive assessments but produced few false-positive classifications. Studies in live horses comparing DT with conventional radiography are needed to determine its additional diagnostic value.

Authors

Institutions

Publication Details

Journal
Animals
Published
2026-09-21
DOI
https://doi.org/10.3390/ani16182971
Primary Topic
Veterinary Equine Medical Research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
article

Diagnostic Performance of Digital Tomosynthesis for Detecting Osteophytes and Subchondral Bone Changes in the Equine Distal Interphalangeal and Metacarpophalangeal Joints

Marcus Georg Doherr, Dagmar Berner, Gabriel Manso Díaz, Miguel Valdés Vázquez et al.
Animals
Veterinary Equine Medical Research
article

Diagnostic Performance of Digital Tomosynthesis for Detecting Osteophytes and Subchondral Bone Changes in the Equine Distal Interphalangeal and Metacarpophalangeal Joints

Marcus Georg Doherr, Dagmar Berner, Gabriel Manso Díaz, Miguel Valdés Vázquez, Alisa Hahn, Christoph J. Lischer, Joana Maia Ramos
article en

Abstract

Osteoarthritis is a common cause of equine lameness and can involve periarticular osteophytes and subchondral bone (SB) changes. This exploratory ex vivo study evaluated the diagnostic performance of digital tomosynthesis (DT) for detecting these findings in the distal interphalangeal and metacarpophalangeal joints, using computed tomography (CT) classifications as the reference. Sixteen distal forelimbs from nine adult horses underwent imaging with both modalities under simulated weight-bearing conditions. Three independent observers graded osteophytes and SB changes, and the scores were dichotomised as absent or present for analysis. The primary analysis used a majority-based CT reference, defined by agreement of at least two observers. Observer-specific comparisons and within-observer DT–CT agreement were evaluated in a secondary analysis. In the primary analysis, sensitivity ranged from 23.1% (95% CI 9.5–39.3%) to 34.6% (95% CI 13.8–56.0%), specificity from 94.1% to 96.1%, Youden’s index from 19.2% to 30.7%, and Cohen’s κ from 0.249 to 0.377. Sensitivity was numerically higher for osteophytes than for SB changes for all three observers, without formal comparison. DT missed many CT-positive assessments but produced few false-positive classifications. Studies in live horses comparing DT with conventional radiography are needed to determine its additional diagnostic value.

AnimalsVol. 16(18)
Universidad Complutense de Madrid (ES), Royal Veterinary College (GB), Hospital de Referencia La Equina (ES), Department of Animal Health (VN), Freie Universität Berlin (DE)
Openalex Percentile: Top 11%
Veterinary Equine Medical Research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.