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Air in the Pleural Cavity Enhances Detection of Pleural Abnormalities by CT Scan
- Source :
- Chest. 153:e123-e128
- Publication Year :
- 2018
- Publisher :
- Elsevier BV, 2018.
-
Abstract
- Detection of pleural abnormalities on CT scan is critical in diagnosis of pleural disease. CT scan detects minute parenchymal lung nodules, but often fails to detect similar-sized pleural nodularity. This is likely because the density of the visceral/parietal pleura and pleural fluid is similar. We hypothesize that an air-pleural interface enhances detection of pleural abnormalities. We describe six patients with pleural abnormalities that were not (or barely) detected on initial CT scan. However, pneumothorax (either ex vacuo or from a genuine air leak) after pleural fluid drainage permitted the visualization of small pleural abnormalities on CT scan, which would be amenable to imaging-guided biopsies. This case series provides proof-of-principle evidence that the sensitivity of CT scan detection of pleural abnormalities is dependent on adjacent tissue density and can be enhanced by intrapleural air. Future studies of the potential for artificial pneumothorax to improve the diagnosis of pleural disease are warranted.
- Subjects :
- Image-Guided Biopsy
Male
Pulmonary and Respiratory Medicine
medicine.medical_specialty
Parietal Pleura
Critical Care and Intensive Care Medicine
Diagnosis, Differential
03 medical and health sciences
Pleural disease
0302 clinical medicine
Biopsy
medicine
Humans
Malignant pleural effusion
Mesothelioma
Aged
Aged, 80 and over
Lung
medicine.diagnostic_test
business.industry
Biopsy, Needle
Pneumothorax
Middle Aged
Pleural Diseases
respiratory system
Pleural cavity
medicine.disease
respiratory tract diseases
medicine.anatomical_structure
030228 respiratory system
030220 oncology & carcinogenesis
Pleura
Female
Radiology
Tomography, X-Ray Computed
Cardiology and Cardiovascular Medicine
business
Subjects
Details
- ISSN :
- 00123692
- Volume :
- 153
- Database :
- OpenAIRE
- Journal :
- Chest
- Accession number :
- edsair.doi.dedup.....001501c41b1457f918401a6cb1c54d8b