ArticleWorld journal of surgical oncology2022
Computed tomography-guided cutting needle biopsy for lung nodules: when the biopsy-based benign results are real benign.
Article in World journal of surgical oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- A Real-World Assessment of Stage I Lung Cancer Through Electronic Nose Technology.Journal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer · 2024Trial
- Malignancy risk and contrast-enhanced ultrasound guidance in non-diagnostic biopsies of peripheral lung lesions: a multicenter study.European radiology · 2026Article
- [Expert Consensus on Precision Management of Pulmonary Nodules (2026 Version)].Zhongguo fei ai za zhi = Chinese journal of lung cancer · 2026Article
- The use of a novel urine biosensor platform for lung cancer detection during lung cancer screening.JTCVS open · 2026Article
- The granulomatous pulmonary nodules induced by tislelizumab in advanced squamous NSCLC: a case report with challenging differential diagnosis.Translational lung cancer research · 2025Article
- Non-malignant pathological results from CT-guided biopsy for pulmonary nodules: a predictive model for identifying false-negative results.Journal of cardiothoracic surgery · 2024Article
- Distinguishing recurrence from radiation-induced lung injury at the time of RECIST progressive disease on post-SABR CT scans using radiomics.Scientific reports · 2024Article
- Machine-Learning-Based Classification Model to Address Diagnostic Challenges in Transbronchial Lung Biopsy.Cancers · 2024Article
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6 authors.
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Abstract
backgroundComputed tomography (CT)-guided cutting needle biopsy (CNB) is an effective diagnostic method for lung nodules (LNs). The false-negative rate of CT-guided lung biopsy is reported to be up to 16%. This study aimed to determine the predictors of true-negative results in LNs with CNB-based benign results.
methodsFrom January 2011 to December 2015, 96 patients with CNB-based nonspecific benign results were included in this study as the training group to detect predictors of true-negative results. From January 2016 to December 2018, an additional 57 patients were included as a validation group to test the reliability of the predictors.
resultsIn the training group, a total of 96 patients underwent CT-guided CNB for 96 LNs. The CNB-based results were true negatives for 82 LNs and false negatives for 14 LNs. The negative predictive value of the CNB-based benign results was 85.4% (82/96). Univariate and multivariate logistic regression analyses revealed that CNB-based granulomatous inflammation (P = 0.013, hazard ratio = 0.110, 95% confidential interval = 0.019-0.625) was the independent predictor of true-negative results. The area under the receiver operator characteristic (ROC) curve was 0.697 (P = 0.019). In the validation group, biopsy results for 47 patients were true negative, and 10 were false negative. When the predictor was used on the validation group, the area under the ROC curve was 0.759 (P = 0.011).
conclusionsMost of the CNB-based benign results were true negatives, and CNB-based granulomatous inflammation could be considered a predictor of true-negative results.
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