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Computed tomography-guided cutting needle biopsy for lung nodules: when the biopsy-based benign results are real benign.
Hui, Hui; Ma, Gao-Lei; Yin, Hai-Tao; Zhou, Yun; Xie, Xiao-Mei; Gao, Yong-Guang.
Afiliación
  • 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.
World J Surg Oncol ; 20(1): 180, 2022 Jun 04.
Article en En | MEDLINE | ID: mdl-35659681
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.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Neoplasias Pulmonares Tipo de estudio: Diagnostic_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: World J Surg Oncol Año: 2022 Tipo del documento: Article País de afiliación: China Pais de publicación: Reino Unido
Texto completo
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Neoplasias Pulmonares Tipo de estudio: Diagnostic_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: World J Surg Oncol Año: 2022 Tipo del documento: Article País de afiliación: China Pais de publicación: Reino Unido