Reinforced learning from serial CT to improve early diagnosis of lung cancer in screening

2021 ◽  
Author(s):  
Yifan Wang ◽  
Chuan Zhou ◽  
Lei Ying ◽  
Heang-Ping Chan ◽  
Lubomir M. Hadjiiski ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Early Diagnosis ◽  
Reinforced Learning ◽  
Serial Ct ◽  
Diagnosis Of Lung Cancer

scholarly journals Promoting early diagnosis and recovering from the COVID-19 pandemic in lung cancer through public awareness campaigns: learning from patient and public insight work

2021 ◽  
Vol 8 (1) ◽  
pp. e001120
Author(s):  
Matthew Evison ◽  
Sarah Taylor ◽  
Seamus Grundy ◽  
Anna Perkins ◽  
Michael Peake
Keyword(s):  
Lung Cancer ◽  
Early Diagnosis ◽  
Late Stage ◽  
Healthcare Professionals ◽  
Public Awareness ◽  
The Public ◽  
Awareness Campaigns ◽  
The North ◽  
The Common ◽  
Diagnosis Of Lung Cancer

COVID-19 has had a devastating impact on outcomes in lung cancer leading to later stage presentation, less curative treatment and higher mortality. This has amplified the existing problem of late-stage presentation in lung cancer and is a call to arms for a multifaceted strategy to address this, including public awareness campaigns to promote healthcare review in patients with persistent chest symptoms. We report the learning from patient and public insight work from across the North of England exploring the barriers to seeking healthcare review with persistent chest symptoms. Members of the public described how a lack of importance is placed on the common symptoms of lung cancer and a feeling of being unworthy of review by healthcare professionals. They would feel motivated to seek review by dispelling the nihilism of lung cancer and would be able to take action more easily by removing the logistical hassle in the process. We propose a four-pillar framework (validation–endorsement–motivation–action) for developing the content of any public awareness campaigns promoting early diagnosis of lung cancer based on the findings of this comprehensive insight work. All providers and commissioners must work together to overcome the perceived and real barriers to patients with persistent chest symptoms.

Early Diagnosis of Lung Cancer

2010 ◽  
Vol 31 (1) ◽  
pp. 39-47 ◽  
Author(s):  
Kazuhiro Yasufuku
Keyword(s):  
Lung Cancer ◽  
Early Diagnosis ◽  
Diagnosis Of Lung Cancer

scholarly journals Identification of Serological Biomarkers for Early Diagnosis of Lung Cancer Using a Protein Array-Based Approach

2017 ◽  
Vol 16 (12) ◽  
pp. 2069-2078 ◽  
Author(s):  
Jianbo Pan ◽  
Guang Song ◽  
Dunyan Chen ◽  
Yadong Li ◽  
Shuang Liu ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Early Diagnosis ◽  
Protein Array ◽  
Diagnosis Of Lung Cancer ◽  
Serological Biomarkers

scholarly journals Breathprinting and Early Diagnosis of Lung Cancer

2018 ◽  
Vol 13 (7) ◽  
pp. 883-894 ◽  
Author(s):  
Gaetano Rocco ◽  
Giorgio Pennazza ◽  
Marco Santonico ◽  
Filippo Longo ◽  
Raffaele Rocco ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Early Diagnosis ◽  
Diagnosis Of Lung Cancer

Circulating Tumor Cell and Metabolites as Novel Biomarkers for Early-stage Lung Cancer Diagnosis

2020 ◽  
Author(s):  
Lingling Wan ◽  
Yutong He ◽  
Qingyi Liu ◽  
Di Liang ◽  
Yongdong Guo ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Early Diagnosis ◽  
Cancer Patients ◽  
Early Stage ◽  
Untargeted Metabolomics ◽  
Early Stage Lung Cancer ◽  
Lung Cancer Patients ◽  
Diagnosis Of Lung Cancer ◽  
Metabolomics Analysis ◽  
Stage Lung Cancer

Abstract Background: Lung cancer is a malignant tumor that has the highest morbidity and mortality rate among all cancers. Early diagnosis of lung cancer is a key factor in reducing mortality and improving prognosis. Methods: In this study, we performed CTC next-generation sequencing (NGS) in early-stage lung cancer patients to identify lung cancer-related gene mutations. Meanwhile, a serum liquid chromatography-tandem mass spectrometry (LC-MS) untargeted metabolomics analysis was performed in the CTC-positive patients, and the early diagnostic value of these assays in lung cancer was analyzed. Results: 62.5% (30/48) of lung cancer patients had ≥ 1 CTC. By CTC NGS, we found that > 50% of patients had 4 commonly mutated genes, namely, NOTCH1, IGF2, EGFR, and PTCH1. 47.37% (9/19) patients had ARIDH1 mutations. Additionally, 30 CTC-positive patients and 30 healthy volunteers were subjected to LC-MS untargeted metabolomics analysis. We found 100 different metabolites, and 10 different metabolites were identified through analysis, which may have potential clinical application value in the diagnosis of CTC-positive early-stage lung cancer (AUC > 0.9). Conclusions: Our results indicate that NGS of CTC and metabolomics may provide new tumor markers for the early diagnosis of lung cancer. This possibility requires more in-depth large-sample research for verification.

Algorithm of the use of tumor markers (TM) in the early diagnosis of lung cancer in our health area

2019 ◽  
Vol 493 ◽  
pp. S120
Author(s):  
J. Liró Armenteros ◽  
A. Barco Sánchez ◽  
M. De Toro Crespo ◽  
C. González Rodriguez
Keyword(s):  
Lung Cancer ◽  
Early Diagnosis ◽  
Tumor Markers ◽  
Health Area ◽  
Diagnosis Of Lung Cancer

scholarly journals Symptoms and the early diagnosis of lung cancer

Thorax ◽  
2005 ◽  
Vol 60 (4) ◽  
pp. 268-269 ◽  
Author(s):  
S S Birring
Keyword(s):  
Lung Cancer ◽  
Early Diagnosis ◽  
Diagnosis Of Lung Cancer
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