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DOI: 10.1055/s-0045-1808259
CT-Guided Percutaneous Core Needle Biopsy of Small Pulmonary Nodules (< 2 cm): How Efficient is it as a Diagnostic Tool in Ruling Out Metastatic Disease?
Authors
Funding None.

Abstract
Introduction
Incidentally detected small pulmonary nodules in patients with an underlying malignancy most often warrant sampling. Biopsy from such small pulmonary nodules (< 2 cm) is challenging. In this study, we aim to evaluate the accuracy of computed tomography (CT)-guided percutaneous core needle biopsy (CNB) of small pulmonary nodules.
Materials and Methods
A total of 169 patients who had CT-guided percutaneous CNB for small pulmonary nodules (less than 2 cm) between January 2015 and December 2018 were the subjects of this retrospective, single-center investigation. We determined the success rate of CNB and the rate of a diagnostic biopsy. Calculations were made for a multivariate study of the risk variables for complications, such as pneumothorax and pulmonary hemorrhage.
Results
The success rate of lung biopsy, defined by obtaining a sample of pathologically reportable quality, was 92.9% (157/169). A malignancy was diagnosed in 60.4% of cases (102/169). Pneumothorax developed in 21.9% cases (37/169), with only 5.3% (9/169) patients requiring treatment (8 needle aspirations and 1 pigtail catheter drainage). Use of a thicker (18G) biopsy needle was the only statistically significant predictor of pneumothorax (odds ratio 2.61, 95% confidence interval 1.24–5.51, p = 0.01). Perifocal hemorrhage was common (72.2%, 122/169) but clinically significant pulmonary lobar hemorrhage was seen only in 6.5% of the cases (11/169). One patient required intensive care unit admission due to desaturation from aspiration of blood.
Conclusion
CT-guided biopsy of small pulmonary nodules is safe and feasible with a good success rate.
Patient's Consent
Patient consent is not required.
Publikationsverlauf
Artikel online veröffentlicht:
04. Juni 2025
© 2025. Indian Radiological Association. This is an open access article published by Thieme under the terms of the Creative Commons Attribution-NonDerivative-NonCommercial License, permitting copying and reproduction so long as the original work is given appropriate credit. Contents may not be used for commercial purposes, or adapted, remixed, transformed or built upon. (https://creativecommons.org/licenses/by-nc-nd/4.0/)
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