Ultrasound-guided pleural cutting needle biopsy: accuracy and factors influencing diagnostic yield.

Abstract:

Background:The aim of this study was to retrospectively investigate the diagnostic accuracy of ultrasound-guided pleural cutting needle biopsy (US-guided PCNB) and the potential factors influencing diagnostic yield. Methods:From July 2014 to June 2016, a total of 147 percutaneous US-guided PCNBs in 144 patients were retrospectively reviewed. The final diagnosis was confirmed by histopathological analysis and follow-up. We calculated diagnostic accuracy, sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) and divided all cases into group of correct diagnoses (true-positive and true-negative cases) and group of incorrect diagnoses (false-positive, false-negative, and inconclusive cases). Univariate and multivariate logistic regression analyses were performed to analyze the differences of influencing factors (patient, pleura, and biopsy-associated factors) in the between the two groups. Results:Seven patients were excluded because of loss to follow-up. A total of 140 cases were ultimately included (105 males and 35 females). There were 105 cases in the correct diagnosis group, and 35 cases in the incorrect diagnosis group. The overall accuracy of US-PCNB was 75.0% and the sensitivity, specificity, PPV, NPV in malignant diagnosis were 58.1%, 99.0%, 96.2%, and 84.2%, respectively. On univariate analysis, variables affecting diagnostic accuracy of US-PCNB were the pleural thickness (<3 mm in thickness 61.0%, ≥3 mm in thickness 85.2%; P=0.001), morphology (non-nodular pleura 71.4%, nodular pleura 95.2%; P=0.026), and needle size (18 G 69.1%, 16 G 87.0%; P=0.022). Finally multivariate logistic regression demonstrated that pleural thickness [odds ratio (OR): 0.278, P=0.003] and needle size (OR: 0.291, P=0.018) independently predicted diagnostic accuracy. Conclusions:Pleural thickness and the size of the biopsy needle were significantly correlated with the diagnostic yield.

journal_name

J Thorac Dis

authors

Zhang Y,Tang J,Zhou X,Zhou D,Wang J,Tang Q

doi

10.21037/jtd.2018.05.94

subject

Has Abstract

pub_date

2018-06-01 00:00:00

pages

3244-3252

issue

6

eissn

2072-1439

issn

2077-6624

pii

jtd-10-06-3244

journal_volume

10

pub_type

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