Academic Journal
Computed tomography-guided cutting needle biopsy for lung nodules: when the biopsy-based benign results are real benign.
| Τίτλος: | Computed tomography-guided cutting needle biopsy for lung nodules: when the biopsy-based benign results are real benign. |
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| Συγγραφείς: | Hui H; Department of Radiation Oncology, Xuzhou Central Hospital, 199 Jiefang Road, Jiangsu, Xuzhou, China., Ma GL; Department of Radiation Treatment, Xuzhou First People's Hospital, 269 Daxue Road, Xuzhou, Jiangsu, China., Yin HT; Department of Radiation Oncology, Xuzhou Central Hospital, 199 Jiefang Road, Jiangsu, Xuzhou, China., Zhou Y; Department of Radiation Oncology, Xuzhou Central Hospital, 199 Jiefang Road, Jiangsu, Xuzhou, China., Xie XM; Department of Radiation Oncology, Xuzhou Central Hospital, 199 Jiefang Road, Jiangsu, Xuzhou, China., Gao YG; Radiology Department, Xuzhou Central Hospital, Xuzhou, China. saga0320@163.com. |
| Πηγή: | World journal of surgical oncology [World J Surg Oncol] 2022 Jun 04; Vol. 20 (1), pp. 180. Date of Electronic Publication: 2022 Jun 04. |
| Τύπος έκδοσης: | Journal Article |
| Γλώσσα: | English |
| Στοιχεία περιοδικού: | Publisher: BioMed Central Country of Publication: England NLM ID: 101170544 Publication Model: Electronic Cited Medium: Internet ISSN: 1477-7819 (Electronic) Linking ISSN: 14777819 NLM ISO Abbreviation: World J Surg Oncol Subsets: MEDLINE |
| Imprint Name(s): | Original Publication: London : BioMed Central, 2003- |
| Ιατρικοί όροι (MeSH): | Lung Neoplasms*/diagnostic imaging , Lung Neoplasms*/surgery, Biopsy, Large-Core Needle/methods ; Biopsy, Needle/methods ; Image-Guided Biopsy/methods ; Inflammation/pathology ; Lung/diagnostic imaging ; Lung/pathology ; Tomography, X-Ray Computed/methods ; Humans ; Reproducibility of Results ; Retrospective Studies ; Sensitivity and Specificity |
| Περίληψη: | Background: Computed 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. Methods: From 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. Results: In 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). Conclusions: Most of the CNB-based benign results were true negatives, and CNB-based granulomatous inflammation could be considered a predictor of true-negative results. (© 2022. The Author(s).) |
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| Contributed Indexing: | Keywords: Benign; Computed tomography; Cutting needle biopsy; Lung nodule |
| Entry Date(s): | Date Created: 20220606 Date Completed: 20220608 Latest Revision: 20220716 |
| Update Code: | 20260130 |
| PubMed Central ID: | PMC9166573 |
| DOI: | 10.1186/s12957-022-02647-6 |
| PMID: | 35659681 |
| Βάση Δεδομένων: | MEDLINE |
| ISSN: | 1477-7819 |
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| DOI: | 10.1186/s12957-022-02647-6 |