ReviewTranslational lung cancer research2016
From diagnosis to therapy in lung cancer: management of CT detected pulmonary nodules, a summary of the 2015 Chinese-German Lung Cancer Expert Panel.
Review in Translational lung cancer research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03317080 (A Study of the Value of Dynamic Monitoring Circulating Tumor DNA in Patients With Lung Cancer for Post-Operative Evaluation,Therapy Response Assessment,Relapse Prediction and Defining Molecular Phenotypes.), which is not on this map. Cited by 6 papers.
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
A Study of the Value of Dynamic Monitoring Circulating Tumor DNA in Patients With Lung Cancer for Post-Operative Evaluation,Therapy Response Assessment,Relapse Prediction and Defining Molecular Phenotypes.
Who cites it
6 citing papers in PubMed, 7 citations in OpenAlex.
- Pulmonary nodules: classification, biomarkers, signaling pathways, diseases, early diagnosis and management.Signal transduction and targeted therapy · 2026Review
- Incidence and Mortality Life-Attributable Risks for Patients Subjected to Recurrent CT Examinations and Cumulative Effective Dose Exceeding 100 mSv.Clinics and practice · 2024Article
- Implementation of sodium alginate-FeScientific reports · 2022Article
- Efficacy of thoracoscopic anatomical segmentectomy for small pulmonary nodules.World journal of clinical cases · 2020Article
- Multicenter study of diagnostic procedures, genetic aberration analysis, and first-line treatment of lung cancer in Jiangsu Province, China.Thoracic cancer · 2018Observational
- How to diagnose pulmonary nodules: from screening to therapy.Translational lung cancer research · 2017Article
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Authors and funding
20 authors at 12 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The first Chinese-German Lung Cancer Expert Panel was held in November 2015 one day after the 7th Chinese-German Lung Cancer Forum, Shanghai. The intention of the meeting was to discuss strategies for the diagnosis and treatment of lung cancer within the context of lung cancer screening. Improved risk classification criteria and novel imaging approaches for screening populations are highly required as more than half of lung cancer cases are false positive during the initial screening round if the National Lung Screening Trial (NLST) demographic criteria [≥30 pack years (PY) of cigarettes, age ≥55 years] are applied. Moreover, if the NLST criteria are applied to the Chinese population a high number of lung cancer patients are not diagnosed due to non-smoking related risk factors in China. The primary goal in the evaluation of pulmonary nodules (PN) is to determine whether they are malignant or benign. Volumetric based screening concepts such as investigated in the Dutch-Belgian randomized lung cancer screening trial (NELSON) seem to achieve higher specificity. Chest CT is the best imaging technique to identify the origin and location of the nodule since 20% of suspected PN found on chest X-ray turn out to be non-pulmonary lesions. Moreover, novel state-of-the-art CT systems can reduce the radiation dose for lung cancer screening acquisitions down to a level of 0.1 mSv with improved image quality to novel reconstruction techniques and thus reduce concerns related to chest CT as the primary screening technology. The aim of the first part of this manuscript was to summarize the current status of novel diagnostic techniques used for lung cancer screening and minimally invasive treatment techniques for progressive PNs that were discussed during the first Chinese-German Lung Cancer. This part should serve as an educational part for the readership of the techniques that were discussed during the Expert Panel. The second part summarizes the consensus recommendations that were interdisciplinary discussed by the Expert Panel.
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