Preoperative screening thoracic radiographs yield few significant abnormalities in dogs with no history or exam findings suggestive of thoracic disease

These findings should be considered by a clinician when deciding whether to recommend thoracic radiographs as a screening tool for a patient without history or physical examination findings suggestive of intrathoracic disease.

Authors

Institutions

Publication Details

Journal
American Journal of Veterinary Research
Published
2025-02-06
DOI
https://doi.org/10.2460/ajvr.24.11.0352
Citations
1
Primary Topic
Tracheal and airway disorders
Type
article
Field-Weighted Citation Impact
1.52
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Preoperative screening thoracic radiographs yield few significant abnormalities in dogs with no history or exam findings suggestive of thoracic disease

Christopher M. Gauthier, Karen Moss, Elissa K. Randall
1 citations
American Journal of Veterinary Research
Tracheal and airway disorders
1.52
article

Preoperative screening thoracic radiographs yield few significant abnormalities in dogs with no history or exam findings suggestive of thoracic disease

Christopher M. Gauthier, Karen Moss, Elissa K. Randall
article en
1 citations

Abstract

These findings should be considered by a clinician when deciding whether to recommend thoracic radiographs as a screening tool for a patient without history or physical examination findings suggestive of intrathoracic disease.

American Journal of Veterinary ResearchVol. 86(4)
Colorado State University (US)
Openalex Percentile: Top 22%
Tracheal and airway disorders
1.52
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.