Predictors of pneumothorax and chest drainage after percutaneous CT-guided lung biopsy: A prospective study.

Autor: Ruud EA; Department of Imaging, Akershus University Hospital, Sykehusveien 25, Nordbyhagen, 1478, Norway. Espen.Ruud@ahus.no.; Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway. Espen.Ruud@ahus.no., Stavem K; Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway.; Department of Pulmonary Medicine, Akershus University Hospital, Lorenskog, Norway.; Health Services Research Unit, Akershus University Hospital, Lorenskog, Norway., Geitung JT; Department of Imaging, Akershus University Hospital, Sykehusveien 25, Nordbyhagen, 1478, Norway.; Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway., Borthne A; Department of Imaging, Akershus University Hospital, Sykehusveien 25, Nordbyhagen, 1478, Norway.; Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway., Søyseth V; Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway.; Department of Pulmonary Medicine, Akershus University Hospital, Lorenskog, Norway., Ashraf H; Department of Imaging, Akershus University Hospital, Sykehusveien 25, Nordbyhagen, 1478, Norway.; Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway.; Herlev-Gentofte Hospital, Section of Pulmonary Medicine, Department of Medicine, Copenhagen University Hospital, Hellerup, Denmark.
Jazyk: angličtina
Zdroj: European radiology [Eur Radiol] 2021 Jun; Vol. 31 (6), pp. 4243-4252. Date of Electronic Publication: 2020 Dec 22.
DOI: 10.1007/s00330-020-07449-6
Abstrakt: Objectives: We present an analysis of predictors of pneumothorax, and pneumothorax requiring chest drainage after CT-guided lung biopsy, in one of the largest Scandinavian dataset presented.
Methods: We prospectively registered 875 biopsy procedures from 786 patients in one institution from January 27, 2012, to March 1, 2017, and recorded complications including pneumothorax with or without chest drainage, and multiple variables we assumed could be associated with complications. We performed multivariable logistic regression analysis to identify predictors of pneumothorax and pneumothorax requiring chest drainage.
Results: Of the biopsied lesions, 65% were malignant, 29% benign, and 6% inconclusive. Pneumothorax occurred in 39% of the procedures and chest drainage was performed in 10%. In multivariable analysis, significant predictors of pneumothorax were emphysema (OR 1.92), smaller lesion size (OR 0.83, per 1 cm increase in lesion size), lateral body position during procedure (OR 2.00), longer needle time (OR 1.09, per minute), repositioning of coaxial needle with new insertion through pleura (OR 3.04), insertion through interlobar fissure (OR 5.21), and shorter distance to pleura (OR 0.79, per 1 cm increase in distance). Predictors of chest drainage were emphysema (OR 4.01), lateral body position (OR 2.61), and needle insertion through interlobar fissure (OR 4.17).
Conclusion: Predictors of pneumothorax were emphysema, lateral body position, needle insertion through interlobar fissure, repositioning of coaxial needle with new insertion through pleura, and shorter distance to pleura. The finding of lateral body position as a predictor of pneumothorax is not earlier described. Emphysema, lateral body position, and needle insertion through interlobar fissure were also predictors of chest drainage.
Key Points: • Pneumothorax is a frequent complication to CT-guided lung biopsy; a smaller fraction of these complications needs chest drainage. • Predictors for pneumothorax are emphysema, smaller lesion size, lateral body position, longer needle time, repositioning of coaxial needle with new insertion through pleura, needle insertion through the interlobar fissure, and shorter distance to pleura. • Predictors for requirement for chest drainage post CT-guided lung biopsy are emphysema, lateral body position, and needle insertion through the interlobar fissure.
Databáze: MEDLINE
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