Fu, Yu-FeiJiang, Li-HuaWang, TaoLi, Guang-ChaoCao, WeiShi, Yi-Bing2020-11-182020-11-182020-01Fu Yu-Fei, Jiang Li-Hua, Wang Tao, Li Guang-Chao, Cao Wei, Shi Yi-Bing. Nonspecific benign pathological results on computed tomography-guided lung biopsy: A predictive model of true negatives. Journal of Cancer Research and Therapeutics. 2020 Jan; 15(6): 1464-14700973-1482http://imsear.searo.who.int/handle/123456789/213556Objective: The aim of this study is to develop a predictive model for identifying true negatives among nonspecific benign results on computed tomography-guided lung biopsy. Materials and Methods: This was a single-center retrospective study. Between December 2013 and May 2016, a total of 126 patients with nonspecific benign biopsy results were used as the training group to create a predictive model of true-negative findings. Between June 2016 and June 2017, additional 56 patients were used as the validation group to test the constructed model. Results: In the training group, a total of 126 lesions from 126 patients were biopsied. Biopsies from 106 patients were true negatives and 20 were false-negatives. Univariate and multivariate logistic regression analyses were identified a biopsy result of “chronic inflammation with fibroplasia” as a predictor of true-negative results (P = 0.013). Abnormal neuron-specific enolase (NSE) level (P = 0.012) and pneumothorax during the lung biopsy (P = 0.021) were identified as predictors of false-negative results. A predictive model was developed as follows: Risk score = −0.437 + 2.637 × NSE level + 1.687 × pneumothorax - 1.82 × biopsy result of “chronic inflammation with fibroplasia.” The area under the receiver operator characteristic (ROC) curve was 0.78 (P < 0.001). To maximize sensitivity and specificity, we selected a cutoff risk score of −0.029. When the model was used on the validation group, the area under the ROC curve was 0.766 (P = 0.005). Conclusions: Our predictive model showed good predictive ability for identifying true negatives among nonspecific benign lung biopsy resultsFalse-negativelung biopsynonspecific benigntrue-negativeJournal ArticleIndiaDepartment of Radiology, Xuzhou Central Hospital, Xuzhou, ChinaDepartment of Clinical Laboratory, Clinical Laboratory, Yuhuangding Hospital, Yantai, ChinaDepartment of Radiology, Xuzhou Central Hospital, Xuzhou, ChinaDepartment of Radiology, Xuzhou Central Hospital, Xuzhou, ChinaDepartment of Radiology, Xuzhou Central Hospital, Xuzhou, ChinaDepartment of Radiology, Xuzhou Central Hospital, Xuzhou, China