Literature DB >> 28488310

Use of TBAg/PHA ratio in distinguishing tuberculoma from cancer in solitary pulmonary nodule or mass.

Feng Wang1, Hongyan Hou1, Hongmin Zhou2, Shiji Wu1, Lie Mao1, Min Huang1, Botao Yin1, Jing Huang1, Ziyong Sun1.   

Abstract

INTRODUCTION: Differentiation of tuberculoma from cancer in solitary pulmonary nodule or mass still remains a major challenge in diagnostic laboratories.
OBJECTIVES: The objective of this study is to determine the performance of T-SPOT.TB assay in discriminating these 2 diseases.
METHODS: We prospectively enrolled 331 patients with a solitary pulmonary nodule or mass on computed tomography scans. Conventional tests and T-SPOT.TB assay were simultaneously performed in all participants.
RESULTS: Our results showed that the performance of directly using T-SPOT.TB results in distinguishing tuberculoma from cancer in solitary pulmonary nodule or mass was not satisfactory because of moderate sensitivity and specificity. However, a further calculation of the ratio of TB-specific antigen (TBAg) to phytohemagglutinin (PHA) (TBAg/PHA ratio) of T-SPOT.TB assay may lead to improvement in distinguishing these 2 diseases. If using the threshold value of 0.236, the sensitivity and specificity of the TBAg/PHA ratio in distinguishing tuberculoma from cancer in solitary pulmonary nodule or mass were, respectively, 80.6% and 93.3%. The area under the curve (AUC) of the receiver operating characteristic curve was 0.921 (95% confidence interval, 0.875-0.967). Furthermore, the TBAg/PHA ratio may also be used to distinguish tuberculoma from other benign diseases (AUC: 0.909, sensitivity: 85.07%, specificity: 90%).
CONCLUSIONS: Calculation of the TBAg/PHA ratio might provide a useful non-invasive tool for distinguishing tuberculoma from cancer in patients with a solitary pulmonary nodule or mass in TB-endemic countries.
© 2017 John Wiley & Sons Ltd.

Entities:  

Keywords:  T-SPOT; TBAg/PHA ratio; cancer; tuberculoma

Mesh:

Substances:

Year:  2017        PMID: 28488310     DOI: 10.1111/crj.12648

Source DB:  PubMed          Journal:  Clin Respir J        ISSN: 1752-6981            Impact factor:   2.570


  4 in total

1.  Use of radiomics based on 18F-FDG PET/CT and machine learning methods to aid clinical decision-making in the classification of solitary pulmonary lesions: an innovative approach.

Authors:  Yi Zhou; Xue-Lei Ma; Ting Zhang; Jian Wang; Tao Zhang; Rong Tian
Journal:  Eur J Nucl Med Mol Imaging       Date:  2021-02-05       Impact factor: 9.236

2.  Combination of Xpert MTB/RIF and TBAg/PHA Ratio for Prompt Diagnosis of Active Tuberculosis: A Two-Center Prospective Cohort Study.

Authors:  Feng Wang; Kui Liu; Jing Peng; Ying Luo; Guoxing Tang; Qun Lin; Hongyan Hou; Weiyong Liu; Jing Wang; Zemin Fang; Haobin Kuang; Ziyong Sun
Journal:  Front Med (Lausanne)       Date:  2020-04-15

3.  Diagnostic Model for Discrimination Between Tuberculous Meningitis and Bacterial Meningitis.

Authors:  Ying Luo; Ying Xue; Qun Lin; Liyan Mao; Guoxing Tang; Huijuan Song; Wei Liu; Shiji Wu; Weiyong Liu; Yu Zhou; Lingqing Xu; Zhigang Xiong; Ting Wang; Xu Yuan; Yong Gan; Ziyong Sun; Feng Wang
Journal:  Front Immunol       Date:  2021-11-12       Impact factor: 7.561

Review 4.  Review and Updates on the Diagnosis of Tuberculosis.

Authors:  Yi Huang; Lin Ai; Xiaochen Wang; Ziyong Sun; Feng Wang
Journal:  J Clin Med       Date:  2022-09-30       Impact factor: 4.964

  4 in total

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