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- Title
Predictors of False-Negative Results from Percutaneous Transthoracic Fine-Needle Aspiration Biopsy: An Observational Study from a Retrospective Cohort.
- Authors
Young Joo Suh; Jae-hoon Lee; Jin Hur; Sae Rom Hong; Dong Jin Im; Yun Jung Kim; Yoo Jin Hong; Hye-Jeong Lee; Young Jin Kim; Byoung Wook Choi
- Abstract
Purpose: We investigated factors predictive of false-negative pulmonary lesions with nonspecific benign cytology results on percutaneous transthoracic fine-needle aspiration biopsy (FNAB). Materials and Methods: We included 222 pulmonary lesions that had a nonspecific benign result from percutaneous transthoracic FNAB between March 2005 and December 2012, and were confirmed by subsequent pathologic results or adequate clinical follow up over at least 2 years. Clinical, imaging, and biopsy procedure-related findings were compared between lesions with a final diagnosis of malignancy (false-negative) and lesions with a benign diagnosis (true-negative). Multivariate logistic regression analysis was performed to identify significant predictors of false-negatives. Results: Of 222 lesions, 115 lesions were proved to be false-negatives, and 107 were true-negatives. Compared with the true-negatives, false-negative lesions showed significantly older age (p=0.037), higher maximum standardized uptake value (SUVmax) on positron emission tomography (p=0.001), larger lesion size (p=0.007), and lesion characteristics of a subsolid nodule (p=0.007). On multivariate logistic regression analysis, SUVmax, lesion size, and lesion characteristics were significant predictors of falsenegative results. Conclusion: Among the clinical, radiologic, and procedure-related factors analyzed, high SUVmax, large lesion size, and subsolid lesions were useful for predicting malignancy in pulmonary lesions with nonspecific benign cytology results on FNAB.
- Subjects
LUNG cancer patients; LUNG cancer diagnosis; LUNG cancer treatment; NEEDLE biopsy; LOGISTIC regression analysis; POSITRON emission tomography
- Publication
Yonsei Medical Journal, 2016, Vol 57, Issue 5, p1243
- ISSN
0513-5796
- Publication type
Article
- DOI
10.3349/ymj.2016.57.5.1243