scholarly journals Evaluation Of The Diagnostic Value Of Electromagnetic Navigational Guided Targeted-Bronchoalveolar Lavage In The Diagnosis Of Lung Cancer

2020 ◽  
Vol 6 (4) ◽  
pp. 1-6
Author(s):  
Ismael Matus ◽  
Keyword(s):  
Lung Cancer ◽  
Diagnostic Yield ◽  
Pulmonary Nodules ◽  
Diagnostic Value ◽  
Electromagnetic Navigation ◽  
Diagnostic Bronchoscopy ◽  
Tissue Acquisition ◽  
Diagnosis Of Lung Cancer ◽  
The Ideal

Electromagnetic Navigation Bronchoscopy (ENB) is recommended for the evaluation of Peripheral Pulmonary Nodules (PPNs). Current diagnostic bronchoscopy and pulmonary nodule evaluation guidelines do not establish recommendations regarding the role of individual tissue acquisition techniques, the ideal combination or sequence of executing them to optimize diagnostic yield.

scholarly journals A Prediction Model Based on DNA Methylation Biomarkers and Radiological Characteristics for Identifying Malignant From Benign Pulmonary Nodules

2020 ◽  
Author(s):  
Wenqun Xing ◽  
Haibo Sun ◽  
Chi Yan ◽  
Chengzhi Zhao ◽  
Dongqing Wang ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Dna Methylation ◽  
Prediction Model ◽  
Characteristic Curve ◽  
Multivariate Logistic Regression Analysis ◽  
Pulmonary Nodules ◽  
Diagnostic Value ◽  
Receiver Operator Characteristic Curve ◽  
Model Based ◽  
Diagnosis Of Lung Cancer

Abstract BackgroundLung cancer remains the leading cause of cancer deaths across the world. Early detection of lung cancer by low-dose computed tomography (LDCT) can reduce the mortality rate. However, making a definitive preoperative diagnosis of malignant pulmonary nodules (PNs) found by LDCT is a clinical challenge. This study aimed to develop a prediction model based on DNA methylation biomarkers and radiological characteristics for identifying malignant pulmonary nodules from benign PNs. MethodsWe assessed three DNA methylation biomarkers (PTGER4, RASSF1A, and SHOX2) in a training cohort of 110 individuals with PNs. Using univariate and multivariate logistic regression analysis, we developed a prediction model based on the three DNA methylation biomarkers and one radiological characteristic for identifying malignant from benign PNs. The performance of the prediction model with that of the methylation biomarkers and the Mayo Clinic model were compared using the non-parametric approach of DeLong et al. with the area under a receiver operator characteristic curve (AUC) analysis. ResultsThe developed prediction model achieved a sensitivity of 87.3% and a specificity of 95.7% with an AUC value of 0.951 in malignant PNs diagnosis, being significantly higher than the three DNA methylation biomarkers (84.1% sensitivity and 89.4% specificity, p=0.013) or clinical/radiological characteristics (76.2% sensitivity and 87.2% specificity, p=0.001) alone. Validation of the prediction model in the testing cohort of 100 subjects with PNs confirmed the diagnostic value.ConclusionWe have shown that integrating DNA methylation biomarkers and radiological characteristics could more accurately identify lung cancer in subjects with CT-found PNs. The prediction model developed in our study may provide clinical utility in combination with LDCT to improve the over-all diagnosis of lung cancer.

scholarly journals Autoantibody Signatures Discovered by HuProt Protein Microarray to Enhance the Diagnosis of Lung Cancer

2021 ◽  
Author(s):  
Yulin Wang ◽  
Jiaqi Li ◽  
Xue Zhang ◽  
Man Liu ◽  
Longtao Ji ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Validation Cohort ◽  
Mediastinal Lymph Node ◽  
Protein Microarray ◽  
Characteristic Curve ◽  
Pulmonary Nodules ◽  
Diagnostic Value ◽  
Enzyme Linked Immunosorbent Assay ◽  
Significant Difference ◽  
Diagnosis Of Lung Cancer

Abstract Background: This study aims to comprehensively discover novel autoantibodies (TAAbs) against tumor-associated antigens (TAAs) and establish diagnostic models for assisting in the diagnosis of lung cancer (LC) and discrimination of pulmonary nodules (PN).Methods: HuProt human microarray was used to discover the candidate TAAs and Enzyme-linked immunosorbent assay (ELISA) was performed to detect the level of TAAbs in 634 participants of two independent validation cohorts. Logistic regression analysis was used to construct models. Receiver operating characteristic curve (ROC) analysis was utilized to assess the diagnostic value of models.Results: Eleven TAAs were discovered by means of protein microarray and data analysis. The level of ten TAAbs (anti-SARS, anti-ZPR1, anti-FAM131A, anti-GGA3, anti-PRKCZ, anti-HDAC1, anti-GOLPH3, anti-NSG1, anti-CD84 and anti-EEA1) was higher in LC patients than that in NC of validation cohort 1 (P<0.05). The model 1 comprising 4 TAAbs (anti-ZPR1, anti-PRKCZ, anti-NSG1 and anti-CD84) and CEA reached an AUC of 0.813 (95%CI: 0.762-0.864) for diagnosing LC from normal individuals. 5 of 10 TAAbs (anti-SARS, anti-GOLPH3, anti-NSG1, anti-CD84 and anti-EEA1) existed a significant difference between malignant pulmonary nodules (MPN) and benign pulmonary nodules (BPN) patients in validation cohort 2 (P<0.05). Model 2 consisting of anti-EEA1, traditional biomarkers (CEA, CYFRA211 and CA125) and 3 CT characteristics (vascular notch sign, lobulation sign, mediastinal lymph node enlargement) could distinguish MPN from BPN patients with an AUC of 0.845 (sensitivity: 58.3%, specificity: 96.6%).Conclusions: High-throughput protein microarray is an efficient approach to discovering novel TAAbs which could increase the accuracy of lung cancer diagnosis in the clinic.

scholarly journals Diagnostic Value of HSP90α and Related Markers in Lung Cancer

2021 ◽  
Author(s):  
zhimin yuan ◽  
longhao wang ◽  
songlin hong ◽  
lin li ◽  
ting tang ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Squamous Carcinoma ◽  
Diagnostic Value ◽  
Enzyme Linked Immunosorbent Assay ◽  
Cancer Type ◽  
Clinical Value ◽  
Early Screening ◽  
Combined Application ◽  
Positive Rate ◽  
Diagnosis Of Lung Cancer

Abstract PurposeTo investigate the expression of heat shock protein 90α (HSP90α) in patients with lung cancer and the clinical value of HSP90α and other related markers in the diagnosis of lung cancer.MethodsThe plasma levels of HSP90α and related markers (CEA, NSE, CF211 and ProGRP) were detected in the blood of 560 patients with lung cancer by ELISA (enzyme-linked immunosorbent assay). Groups were divided according to the gender (male/female), age (age≤40, 41<age≤50, 51<age≤60, 61<age≤70 and age>70), types of lung cancer (small-cell, squamous carcinoma, adenocarcinoma, hybrid and other type), staging (Ⅰ, Ⅱ, Ⅲ and Ⅳ) and metastasis (metastasis and non-metastasis) separately. Wilcoxon Mann-Whitney test and Kruskal-Wallis test were used to compare statistical differences between two groups/among the multiple groups for each factor of HSP90α.ResultsNo statistical difference was found in plasma level of HSP90α among different age and gender groups (P> 0.05). In the group divided by lung cancer type, staging and metastasis status, there were statistical differences among different groups in HSP90α level (P< 0.05). R values of HSP90α correlated with other related markers in the diagnosis of lung cancer (P< 0.05). Although HSP90α and other related markers didn’t fit the satisfactory conformance, in terms of the positive rate of diagnosis, it was statistically differences in the diagnostic positive rate between HSP90α and each marker (P< 0.01). Reduced cut-off value of HSP90α in lung cancer can effectively improve the positive rate of diagnosis when combined with other tumor biomarkers.ConclusionsHSP90α has significant clinical value on early screening and diagnosis of lung cancer. The combined application of HSP90α and related markers can improve the positive rate of early diagnosis of lung cancer effectively.

scholarly journals Reducing False-Positives in Lung Nodules Detection Using Balanced Datasets

2021 ◽  
Vol 9 ◽  
Author(s):  
Jinglun Liang ◽  
Guoliang Ye ◽  
Jianwen Guo ◽  
Qifan Huang ◽  
Shaohui Zhang
Keyword(s):  
Lung Cancer ◽  
Early Stage ◽  
Pulmonary Nodules ◽  
Ct Images ◽  
False Positives ◽  
Classification Systems ◽  
Cad System ◽  
Nodule Detection ◽  
Diagnosis Of Lung Cancer ◽  
Lung Ct

Malignant pulmonary nodules are one of the main manifestations of lung cancer in early CT image screening. Since lung cancer may have no early obvious symptoms, it is important to develop a computer-aided detection (CAD) system to assist doctors to detect the malignant pulmonary nodules in the early stage of lung cancer CT diagnosis. Due to the recent successful applications of deep learning in image processing, more and more researchers have been trying to apply it to the diagnosis of pulmonary nodules. However, due to the ratio of nodules and non-nodules samples used in the training and testing datasets usually being different from the practical ratio of lung cancer, the CAD classification systems may easily produce higher false-positives while using this imbalanced dataset. This work introduces a filtering step to remove the irrelevant images from the dataset, and the results show that the false-positives can be reduced and the accuracy can be above 98%. There are two steps in nodule detection. Firstly, the images with pulmonary nodules are screened from the whole lung CT images of the patients. Secondly, the exact locations of pulmonary nodules will be detected using Faster R-CNN. Final results show that this method can effectively detect the pulmonary nodules in the CT images and hence potentially assist doctors in the early diagnosis of lung cancer.

A Case Report of Cangrelor Bridge Therapy for a Diagnostic Bronchoscopy With Biopsy

2018 ◽  
Vol 33 (2) ◽  
pp. 231-235 ◽  
Author(s):  
Matthew W. Calnan ◽  
Alexis N. Crawford
Keyword(s):  
Lung Cancer ◽  
Bleeding Complications ◽  
Drug Eluting Stent ◽  
Diagnostic Bronchoscopy ◽  
Obese Female ◽  
Increased Risk ◽  
Ischemic Complications ◽  
Drug Eluting ◽  
Diagnosis Of Lung Cancer ◽  
Bridge Therapy

Although premature discontinuation of dual antiplatelet therapy (DAPT) is associated with an increased risk of ischemic complications, patients may present with an urgent need for surgery that would require interruption of DAPT. Antiplatelet bridge therapy using cangrelor, an intravenous P2Y12 inhibitor, has been studied as a potential option to ensure continuation of DAPT perioperatively. However, limited evidence exists supporting the off-label use of cangrelor bridge therapy to noncardiac procedures. We describe the case of a 67-year-old class 3 obese female on DAPT (aspirin and ticagrelor) for recent drug-eluting stent placement who required a bronchoscopy with biopsy for suspected lung cancer. Cangrelor bridge therapy was utilized both preoperatively and postoperatively without ischemic or bleeding complications, and the patient was subsequently able to begin radiation therapy after a confirmed diagnosis of lung cancer.

Diagnostic role of liquid-based cytology of bronchial lavage fluid in addition to bronchial brushing specimens in lung cancer

2020 ◽  
pp. 030089162096021
Author(s):  
Chao Cao ◽  
Xuechan Yu ◽  
Tingting Zhu ◽  
Qingwen Jiang ◽  
Yiting Li ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Lavage Fluid ◽  
False Negatives ◽  
Predictive Values ◽  
Bronchial Brushing ◽  
Diagnostic Role ◽  
Thin Layer Method ◽  
Liquid Based Cytology ◽  
Diagnosis Of Lung Cancer

Background: Liquid-based cytology (LBC) tests, including the liquid-based thin layer method, have demonstrated the highest potential for reducing false-negatives and improving sample quality. Method: This study aimed to evaluate the diagnostic role of LBC of bronchial brushing specimens in lung cancer. A total of 249 patients were analyzed in our study, involving 155 patients with combined bronchial brushing and bronchoalveolar lavage (BAL) and 94 patients with BAL alone. Results: The sensitivity in the combined bronchial brushing and BAL group was 61.4% in the diagnosis of lung cancer, which is much higher than with BAL alone. Rates of positive predictive values and negative predictive values in the combined group compared with the BALF alone group were 98.6% vs 100% and 47.6% vs 37.4%, respectively. Sensitivity in the BALF alone group was 12.5% in bronchoscopically invisible pulmonary lesions and as high as 52.1% in the combined group. Conclusion: The results from our study demonstrated that LBC of brushing samples could be used as an important complement of bronchoscopy and could have the potential to be widely applied.

Role of Percutaneous Fine Needle Aspiration in the Diagnosis of Lung Cancer: Our Experience with 140 Patients

Oncology ◽  
1983 ◽  
Vol 40 (3) ◽  
pp. 177-180 ◽  
Author(s):  
Corrado Gallo Curcio ◽  
Massimo Rinaldi ◽  
Riccardo Tonachella ◽  
Raffaele Perrone Donnorso
Keyword(s):  
Lung Cancer ◽  
Fine Needle Aspiration ◽  
Needle Aspiration ◽  
Fine Needle ◽  
Diagnosis Of Lung Cancer
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