Search Results
Veterinary College, University of Prince Edward Island, from 1988 through 2003 were reviewed to identify dogs with CT attributable to PE. Dogs with available thoracic radiographic images (≥ 1 lateral projection and a dorsoventral or ventrodorsal projection
for detection of pulmonary metastatic disease in small animals 6,7,13,14 ; however, reports 8,13,14 quantitatively addressing the benefit of CT, compared with thoracic radiography in dogs, for pulmonary metastases detection are few. The 2 main
,20,22 Survey thoracic radiography remains a useful imaging technique for the evaluation of intrathoracic disorders because it is relatively inexpensive, widely available, and easy to perform. 23 To our knowledge, reports of systematic studies aimed at
Abstract
Objective—To compare results of thoracic radiography, cytologic evaluation of bronchoalveolar lavage (BAL) fluid, and histologic evaluation of biopsy and necropsy specimens in dogs with respiratory tract disease and to determine whether histologic evaluation provides important diagnostic information not attainable by the other methods.
Design—Retrospective study.
Animals—16 dogs.
Procedure—BAL fluid was classified as normal, neutrophilic, eosinophilic, mononuclear, mixed, neoplastic, or nondiagnostic. Radiographic abnormalities were classified as interstitial, bronchial, bronchointerstitial, or alveolar. Histologic lesions were classified as inflammatory, fibrotic, or neoplastic, and the predominant site of histologic lesions was classified as the alveoli, interstitium, or airway.
Results—The predominant radiographic location of lesions correlated with the histologic location in 8 dogs. Of 11 dogs with histologic evidence of inflammatory disease, 8 had inflammatory BAL fluid. Of the 2 dogs with histologic evidence of neoplasia, 1 had BAL fluid suggestive of neoplasia, and the other had BAL fluid consistent with septic purulent inflammation. Two dogs without any histologic abnormalities had mononuclear or nondiagnostic BAL fluid. Two dogs with histologic evidence of fibrosis had mononuclear or mixed inflammatory BAL fluid.
Conclusions and Clinical Relevance—Results suggest that although thoracic radiography, cytologic evaluation of BAL fluid, and histologic evaluation of lung specimens are complementary, each method has limitations in regard to how well results reflect the underlying disease process in dogs with respiratory tract disease. Lung biopsy should be considered in cases where results of radiography and cytology are nondiagnostic. (J Am Vet Med Assoc 2001;218: 1456–1461)
species, improved veterinary care is paramount to increased longevity with higher standards for diagnostic and therapeutic options. Electrocardiography and thoracic radiography are 2 noninvasive diagnostic tools for evaluation of cardiothoracic
, weight, and breed were recorded. The following clinical information associated with the baseline evaluation was extracted when available: clinical signs (type and duration), medications, respiratory rate, and temperature. Thoracic radiography
Abstract
OBJECTIVES
To determine the feasibility of machine learning algorithms for the classification of appropriate collimation of the cranial and caudal borders in ventrodorsal and dorsoventral thoracic radiographs.
SAMPLES
900 ventrodorsal and dorsoventral canine and feline thoracic radiographs were retrospectively acquired from the Picture Archiving and Communication system (PACs) system of the Ontario Veterinary College.
PROCEDURES
Radiographs acquired from April 2020 to May 2021 were labeled by 1 radiologist in Summer of 2022 as either appropriately or inappropriately collimated for the cranial and caudal borders. A machine learning model was trained to identify the appropriate inclusion of the entire lung field at both the cranial and caudal borders. Both individual models and a combined overall inclusion model were assessed based on the combined results of both the cranial and caudal border assessments.
RESULTS
The combined overall inclusion model showed a precision of 91.21% (95% CI [91, 91.4]), accuracy of 83.17% (95% CI [83, 83.4]), and F1 score of 87% (95% CI [86.8, 87.2]) for classification when compared with the radiologist’s quality assessment. The model took on average 6 ± 1 second to run.
CLINICAL RELEVANCE
Deep learning-based methods can classify small animal thoracic radiographs as appropriately or inappropriately collimated. These methods could be deployed in a clinical setting to improve the diagnostic quality of thoracic radiographs in small animal practice.
fluoroscopy during the period from February 6, 2001, to February 6, 2006. Only those dogs for which at least 1 lateral thoracic radiographic view (including the cervical portion of the trachea) was available were included in the study. Fluoroscopic images were
Emergency diagnosis of congestive heart failure can be challenging, particularly when a dog or cat has respiratory distress that limits the diagnostic evaluation. Thoracic radiography is considered a fairly high-yield test for identifying CPE
and accurate diagnosis and emergency care are required. Auscultation and thoracic radiography are standard methods for the detection of CPE in dogs. Auscultation allows evaluation of heart murmurs as well as the presence or absence of pulmonary edema
