scholarly journals The optimal sequence for bronchial brushing and forceps biopsy in lung cancer diagnosis: a random control study

2016 ◽  
Vol 8 (3) ◽  
pp. 520-526 ◽  
Author(s):  
Gang Hou ◽  
Yuan Miao ◽  
Xue-Jun Hu ◽  
Wei Wang ◽  
Qiu-Yue Wang ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Cancer Diagnosis ◽  
Optimal Sequence ◽  
Forceps Biopsy ◽  
Lung Cancer Diagnosis ◽  
Bronchial Brushing ◽  
Random Control ◽  
Control Study

scholarly journals Predictive value of a series of inflammatory markers in COPD for lung cancer diagnosis: a case-control study

2019 ◽  
Vol 20 (1) ◽  
Author(s):  
Cecilia Mouronte-Roibás ◽  
Virginia Leiro-Fernández ◽  
Alberto Ruano-Raviña ◽  
Cristina Ramos-Hernández ◽  
Pedro Casado-Rey ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Cancer Diagnosis ◽  
Predictive Value ◽  
Inflammatory Markers ◽  
Case Control Study ◽  
Case Control ◽  
Lung Cancer Diagnosis ◽  
Control Study

scholarly journals Comparison of prediction models with radiological semantic features and radiomics in lung cancer diagnosis of the pulmonary nodules: a case-control study

2019 ◽  
Vol 29 (11) ◽  
pp. 6100-6108 ◽  
Author(s):  
Wei Wu ◽  
Larry A. Pierce ◽  
Yuzheng Zhang ◽  
Sudhakar N. J. Pipavath ◽  
Timothy W. Randolph ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Cancer Diagnosis ◽  
Case Control Study ◽  
Prediction Models ◽  
Pulmonary Nodules ◽  
Case Control ◽  
Semantic Features ◽  
Lung Cancer Diagnosis ◽  
Control Study

scholarly journals Cryobiopsy in Lung Cancer Diagnosis—A Literature Review

Medicina ◽  
2021 ◽  
Vol 57 (4) ◽  
pp. 393
Author(s):  
Mărioara Simon ◽  
Ioan Simon ◽  
Paul Andrei Tent ◽  
Doina Adina Todea ◽  
Antonia Haranguș
Keyword(s):  
Lung Cancer ◽  
Cancer Diagnosis ◽  
Diagnostic Yield ◽  
Lung Tumors ◽  
Small Sample ◽  
Diagnostic Methods ◽  
Endobronchial Ultrasound ◽  
Forceps Biopsy ◽  
Lung Cancer Diagnosis ◽  
Diagnosis Of Lung Cancer

Optimizing the diagnosis of lung cancer represents a challenge, as well as a necessity, for improving the low survival of these patients. Flexible bronchoscopy with forceps biopsy is one of the key diagnostic procedures used for lung tumors. The small sample size and crush artifacts are several factors that can often limit access to a complete diagnosis, therefore leading to the need of repeating the bronchoscopy procedure or other invasive diagnostic methods. The bronchoscopic cryobiopsy is a recent technique that proved its utility in the diagnosis of both endobronchial and peripheral lung tumors. In comparison with conventional forceps biopsy, studies report a higher diagnostic yield and a superior quality of the collected samples for both the histopathological and the molecular diagnosis of lung cancer. This method shows promising results in sampling lung tissue, alone, or in conjunction with fluoroscopy or radial endobronchial ultrasound (r-EBUS). With a good safety and cost-benefit profile, this novel method has the potential to improve the diagnosis, and therefore the management of lung cancer patients. The objective of this narrative review is to provide a comprehensive review of the recent data regarding the advantages of cryobiopsy and r-EBUS in lung cancer diagnosis.

Antidepressant Prescription and Risk of Lung Cancer: A Nationwide Case-Control Study

2018 ◽  
Vol 52 (03) ◽  
pp. 134-141
Author(s):  
Chia-Jui Tsai ◽  
Wei-Che Chiu ◽  
Chia-Ju Chen ◽  
Pau-Chung Chen ◽  
Roger McIntyre ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Cancer Diagnosis ◽  
Case Control Study ◽  
Case Control ◽  
Cumulative Exposure ◽  
Defined Daily Dose ◽  
High Exposure ◽  
Lung Cancer Diagnosis ◽  
Antidepressant Prescription ◽  
Control Study

Abstract Introduction In recent decades, concern about safety of antidepressants has been raised but the risk between antidepressants and lung cancer has not yet been established. Methods A case-control study was conducted by using a nationwide database in Taiwan. The case groups were new onset lung cancer diagnosis during 1999–2008 and age- and gender-matched controls were selected among those without any cancer. The cumulative exposure dose before the lung cancer diagnosis was added and risks were calculated according to the levels of defined daily dose and classes of antidepressants. Results A total of 39,001 individuals with lung cancer and 189,906 individuals without lung cancer between 1999 and 2008 were included in the analysis. Antidepressants, of any class, were not associated with elevated risks for lung cancer with the exception of bupropion at high exposure levels (odds ratio=4.81, 95% confidence interval=1.39–16.71). Discussion Antidepressant prescription was not associated with elevation of lung cancer incidence using a nationally representative sample. The elevated risk for lung cancer with bupropion at high doses may be a bias by indication and warrant longitudinal investigation.

scholarly journals Endobronchial cryobiopsy or forceps biopsy for lung cancer diagnosis

2010 ◽  
Vol 5 (4) ◽  
pp. 242 ◽  
Author(s):  
Ersin Gunay ◽  
NevinTaci Hoca ◽  
Aydin Yilmaz ◽  
Funda Demirag ◽  
Sibel Gunay ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Cancer Diagnosis ◽  
Forceps Biopsy ◽  
Lung Cancer Diagnosis

Computer-Aided Lung Cancer Diagnosis Approaches Based on Deep Learning

2018 ◽  
Vol 30 (1) ◽  
pp. 90 ◽  
Author(s):  
Peng Zhang ◽  
Xinnan Xu ◽  
Hongwei Wang ◽  
Yuanli Feng ◽  
Haozhe Feng ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Deep Learning ◽  
Cancer Diagnosis ◽  
Lung Cancer Diagnosis ◽  
Computer Aided

Biased Lung Cancer Risk Perceptions: Smokers are Misinformed

2018 ◽  
Vol 238 (5) ◽  
pp. 395-421 ◽  
Author(s):  
Nicolas R. Ziebarth
Keyword(s):  
Lung Cancer ◽  
Cancer Risk ◽  
Cancer Diagnosis ◽  
Mortality Risk ◽  
Risk Perceptions ◽  
Lung Cancer Risk ◽  
Lifetime Risk ◽  
Lung Cancer Diagnosis ◽  
Cancer Risk Perceptions ◽  
Overall Mortality

Abstract This paper empirically investigates biased beliefs about the risks of smoking. First, it confirms the established tendency of people to overestimate the lifetime risk of a smoker to contract lung cancer. In this paper’s survey, almost half of all respondents overestimate this risk. However, 80% underestimate lung cancer deadliness. In reality, less than one in five patients survive five years after a lung cancer diagnosis. Due to the broad underestimation of the lung cancer deadliness, the lifetime risk of a smoker to die of lung cancer is underestimated by almost half of all respondents. Smokers who do not plan to quit are significantly more likely to underestimate this overall mortality risk.

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