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Deep learning algorithm for surveillance of pneumothorax after lung biopsy: a multicenter diagnostic cohort study
- Source :
- European Radiology. 30:3660-3671
- Publication Year :
- 2020
- Publisher :
- Springer Science and Business Media LLC, 2020.
-
Abstract
- Pneumothorax is the most common and potentially life-threatening complication arising from percutaneous lung biopsy. We evaluated the performance of a deep learning algorithm for detection of post-biopsy pneumothorax in chest radiographs (CRs), in consecutive cohorts reflecting actual clinical situation. We retrospectively included post-biopsy CRs of 1757 consecutive patients (1055 men, 702 women; mean age of 65.1 years) undergoing percutaneous lung biopsies from three institutions. A commercially available deep learning algorithm analyzed each CR to identify pneumothorax. We compared the performance of the algorithm with that of radiology reports made in the actual clinical practice. We also conducted a reader study, in which the performance of the algorithm was compared with those of four radiologists. Performances of the algorithm and radiologists were evaluated by area under receiver operating characteristic curves (AUROCs), sensitivity, and specificity, with reference standards defined by thoracic radiologists. Pneumothorax occurred in 17.5% (308/1757) of cases, out of which 16.6% (51/308) required catheter drainage. The AUROC, sensitivity, and specificity of the algorithm were 0.937, 70.5%, and 97.7%, respectively, for identification of pneumothorax. The algorithm exhibited higher sensitivity (70.2% vs. 55.5%, p
- Subjects :
- Adult
Male
medicine.medical_specialty
Percutaneous
Radiography
Lung biopsy
Sensitivity and Specificity
030218 nuclear medicine & medical imaging
Cohort Studies
03 medical and health sciences
Deep Learning
0302 clinical medicine
Radiologists
medicine
Humans
Radiology, Nuclear Medicine and imaging
Lung
Aged
Retrospective Studies
Neuroradiology
medicine.diagnostic_test
Receiver operating characteristic
business.industry
Biopsy, Needle
Pneumothorax
Interventional radiology
General Medicine
Middle Aged
medicine.disease
respiratory tract diseases
ROC Curve
Area Under Curve
030220 oncology & carcinogenesis
Female
Radiography, Thoracic
Radiology
business
Algorithm
Algorithms
Cohort study
Subjects
Details
- ISSN :
- 14321084 and 09387994
- Volume :
- 30
- Database :
- OpenAIRE
- Journal :
- European Radiology
- Accession number :
- edsair.doi.dedup.....81154263a99a13c71f01706c5dc040b1