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Three-Dimensional Reconstruction for the Whole Lung with Early Multiple Pulmonary Nodules
Published on: October 13, 2023
Computed tomographic features of lung lobe torsion
Gabriela Seiler1, Tobias Schwarz, Massimo Vignoli
1Department of Clinical Studies-Philadelphia, School of Veterinary Medicine, University of Pennsylvania, 3900 Spruce Street, Philadelphia 19104-6010 ,USA. gseiler@vet.upenn.edu
Computed tomography (CT) effectively identifies canine lung lobe torsion by revealing characteristic imaging features. Rotated lung lobes show no contrast enhancement, aiding diagnosis.
Area of Science:
- Veterinary Radiology
- Comparative Pathology
- Canine Thoracic Imaging
Background:
- Lung lobe torsion is a rare but serious condition in dogs.
- Accurate diagnosis is crucial for effective treatment and prognosis.
- Computed tomography (CT) offers detailed anatomical visualization.
Purpose of the Study:
- To describe the computed tomography (CT) imaging features of lung lobe torsion in dogs.
- To compare contrast enhancement patterns between normal, torsed, and adjacent lung lobes.
- To identify key CT findings indicative of lung lobe torsion.
Main Methods:
- Retrospective review of helical single-slice CT scans from 10 dogs with lung lobe torsion.
- Analysis of attenuation values in normal, torsed, and collapsed lung lobes before and after contrast administration.
- Correlation of CT findings with clinical and surgical data.
Main Results:
- Complete lung lobe torsion (9/10 dogs) showed pleural effusion and abruptly ending bronchi.
- Enlargement, consolidation, emphysema, and mediastinal shift were observed in 8/9 dogs with complete torsion.
- Torsed lung lobes exhibited no contrast enhancement, unlike adjacent collapsed or aerated lobes (P < 0.05).
- Affected lobes included left cranial (5), right middle (3), right cranial (1), and left caudal (1).
Conclusions:
- CT is a valuable tool for diagnosing canine lung lobe torsion.
- Lack of contrast enhancement in the affected lobe is a key diagnostic indicator.
- Induced apnea is essential for reducing motion artifacts and ensuring diagnostic quality CT scans.
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