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Computed tomography-guided biopsy of small lung nodules: diagnostic accuracy and analysis for true negatives

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机构: [1]Department of Radiology, First People’s Hospital of Yunnan Province, Kunming, Yunnan, China [2]Affiliated Hospital of Kunming University of Science and Technology, Kunming, Yunnan, China
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关键词: Computed tomography small lung nodule transthoracic core needle biopsy diagnostic accuracy true negative chronic inflammation fibroplasia

摘要:
Objective We evaluated the diagnostic accuracy of computed tomography (CT)-guided transthoracic core needle biopsy (TCNB) for small (<= 20-mm) lung nodules and identified predictive factors for true negatives among benign biopsy results. Methods From March 2010 to June 2015, 222 patients with small lung nodules underwent CT-guided TCNB. We retrospectively analysed data regarding technical success, diagnostic accuracy, and predictors of true negatives. Results The technical success rate was 100%. The TCNB results of the 222 lung nodules included malignancy (n = 136), suspected malignancy (n = 8), specific benign lesion (n = 17), and nonspecific benign lesion (n = 61). The final diagnosis of 222 lung nodules included malignant (n = 160), benign (n = 60), and nondiagnostic lesions (n = 2). The sensitivity, specificity, and overall diagnostic accuracy of CT-guided TCNB for small lung nodules were 90.0%, 100%, and 92.7%, respectively. Pneumothorax and haemoptysis occurred in 23 and 41 patients, respectively. Based on the Cox regression analysis, the significant independent predictive factor for true negatives was a biopsy result of chronic inflammation with fibroplasia. Conclusions CT-guided TCNB offers high diagnostic accuracy for small lung nodules, and a biopsy result of chronic inflammation with fibroplasia can predict a true-negative result.

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出版当年[2019]版:
大类 | 4 区 医学
小类 | 4 区 医学:研究与实验 4 区 药学
最新[2023]版:
大类 | 4 区 医学
小类 | 4 区 医学:研究与实验 4 区 药学
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出版当年[2018]版:
Q4 PHARMACOLOGY & PHARMACY Q4 MEDICINE, RESEARCH & EXPERIMENTAL
最新[2023]版:
Q4 MEDICINE, RESEARCH & EXPERIMENTAL Q4 PHARMACOLOGY & PHARMACY

影响因子: 最新[2023版] 最新五年平均 出版当年[2018版] 出版当年五年平均 出版前一年[2017版] 出版后一年[2019版]

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第一作者机构: [1]Department of Radiology, First People’s Hospital of Yunnan Province, Kunming, Yunnan, China [2]Affiliated Hospital of Kunming University of Science and Technology, Kunming, Yunnan, China
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通讯机构: [1]Department of Radiology, First People’s Hospital of Yunnan Province, Kunming, Yunnan, China [2]Affiliated Hospital of Kunming University of Science and Technology, Kunming, Yunnan, China [*1]Department of Radiology, First People’s Hospital of Yunnan Province, No. 157 Jinbi Road, Kunming, Yunnan 650032, China.
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