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Validation of deep learning enabled software MetronMind to measure vertebral heart size and vertebral left atrial size in dogs.

Validation of deep learning enabled software MetronMind to measure vertebral heart size and vertebral left atrial size in dogs.

期刊: PloS one 日期: 2026-01-01 PMID: 42378233 DOI: 10.1371/journal.pone.0339253 浏览: 36
作者: Sykes KT, Gordon SG, Craig JJ, Wesselowski S, Watson AH
KT, S., SG, G., JJ, C., S, W., & AH, W. (2026). Validation of deep learning enabled software MetronMind to measure vertebral heart size and vertebral left atrial size in dogs.. PloS one. https://doi.org/10.1371/journal.pone.0339253
KT S, SG G, JJ C, S W, AH W. Validation of deep learning enabled software MetronMind to measure vertebral heart size and vertebral left atrial size in dogs.. PloS one. 2026; doi: 10.1371/journal.pone.0339253
KT S, SG G, JJ C, et al. Validation of deep learning enabled software MetronMind to measure vertebral heart size and vertebral left atrial size in dogs.[J]. PloS one. 2026. DOI: 10.1371/journal.pone.0339253.
@article{kt2026,
  author = {Sykes KT and Gordon SG and Craig JJ and Wesselowski S and Watson AH},
  title = {Validation of deep learning enabled software MetronMind to measure vertebral heart size and vertebral left atrial size in dogs.},
  journal = {PloS one},
  year = {2026},
  doi = {10.1371/journal.pone.0339253},
  note = {PMID: 42378233},
}
TY  - JOUR
AU  - Sykes KT
AU  - Gordon SG
AU  - Craig JJ
AU  - Wesselowski S
AU  - Watson AH
TI  - Validation of deep learning enabled software MetronMind to measure vertebral heart size and vertebral left atrial size in dogs.
T2  - PloS one
PY  - 2026
DO  - 10.1371/journal.pone.0339253
AN  - PMID:42378233
ER  - 

摘要

BACKGROUND: Vertebral heart size (VHS) and vertebral left atrial size (VLAS) are objective radiographic measurements of heart and left atrial size, respectively and are associated with inter- and intraobserver variability when measured by humans. Artificial intelligence (AI) tools to determine VHS and VLAS have been developed and may reduce variability and save time. OBJECTIVES: To compare two manual methods for measuring VHS and VLAS on right and left lateral canine thoracic radiographs and to compare measurements of VHS and VLAS made by deep learning-enabled program, MetronMind, with those made by a trained observer on right and left lateral radiographs. ANIMALS: Client-owned dogs (n = 1058) including 80 breeds with a variety of heart sizes, thoracic conformations and radiographic quality. METHODS: Retrospective, single-center, method-comparison study. Pearson's correlation, Bland-Altman plots and Passing-Bablok regression were used to assess agreement. RESULTS: Correlation between traditional and modified manual measurements for VHS and VLAS was strong (r = 0.994 and r = 0.974, respectively), with minimal bias (-0.10 and 0.04 vertebrae, respectively) indicating that the modified methods closely approximate traditional measurements obtained from right lateral views. MetronMind measurements of VHS and VLAS from right lateral radiographs also correlated well with the human observer's modified measurements (r = 0.947 and r = 0.811 respectively), showing small mean biases (0.08 and 0.07 vertebrae, respectively). Correlation between left and right lateral radiographic measurements of VHS (0.87 and 0.91) was higher than for VLAS (0.73 and 0.64) and bias was larger for VHS (0.26 and 0.31 vertebrae) than for VLAS (-0.13 and -0.10 vertebrae) for humans and MetronMind, respectively.

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