1,721,241 research outputs found
Erratum to: Lung Tissue Damage Caused by Heat Accumulation from Adjacent Laser Application: Surgical Implications (Thoracic and Cardiovascular Surgeon (2014) DOI: 10.1055/s-0034-1389086)
It has been brought to the Publisher's attention that the author names "Filippo Lococo" and "Alfredo Cesario" were not listed correctly in the above-mentioned article, published on eFirst on September 5, 2014. DOI of the original article is DOI: 10.1055/s-0034-1389086. The names should be read as "Filippo Lococo" and "Alfredo Cesario" in place of "Lococo Filippo" and "Cesario Alfredo."
Persistent N2 Lung Cancer After Induction Therapy: Is the Evidence for Surgery Sufficient?
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Pulmonary rehabilitation following radical chemo-radiation in locally advanced non surgical NSCLC: Preliminary evidences.
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Re: 18F-FDG PET/CT Diagnosis of Bronchopulmonary Carcinoids Versus Pulmonary Hamartomas
No abstract available
Video-assisted thoracoscopic lobectomy in lung cancer patients: A “patient-tailored” surgical approach according to the degree of pulmonary fissure completeness
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Non-small-cell lung cancer with pathological complete response after induction therapy followed by surgical resection: which is the pattern of failure and which are the future perspectives?
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68Ga-DOTATOC PET/CT in Pleural Solitary Fibrous Tumors
ABSTRACT: Solitary fibrous tumor of the pleura (SFTP) is a rare mesenchymal neoplasm. Preoperative diagnosis is usually difficult and based on radiological findings only. We report the imaging results observed in 5 patients with SFTP (2 malignant) obtained by 68Ga-DOTATOC PET/CT. At qualitative analysis, all tumors showed uptake of 68Ga-DOTATOC. Mean tumor SUVmax was 9.9 ± 5.7. The expression of SST2 (somatostatin receptors subtype 2) was confirmed by immunohistochemistry in 2 tumor samples, and by gene amplification of SST2 mRNA in all cases. These data suggest a diagnostic role of radioreceptor PET/CT in SFTP, and open novel potential treatment options in unresectable/metastatic disease
Novel therapeutic strategy in the management of COPD: a systems medicine approach
Respiratory diseases including chronic-obstructive-pulmonary-disease (COPD) are globally increasing, with COPD predicted to become the third leading cause of global mortality by 2020. COPD is a heterogeneous disease with COPD-patients displaying different phenotypes as a result of a complex interaction between various genetic, environmental and life-style factors. In recent years, several investigations have been performed to better define such interactions, but the identification of the resulting phenotypes is still somewhat difficult, and may lead to inadequate assessment and management of COPD (usually based solely on the severity of airflow limitation parameter FEV1). In this new scenario, the management of COPD has been driven towards an integrative and holistic approach. The degree of complexity requires analyses based on large datasets (also including advanced functional genomic assays) and novel computational biology approaches (essential to extract information relevant for the clinical decision process and for the development of new drugs). Therefore, according to the emerging “systems/network medicine”, COPD should be re.-evaluated considering multiple network(s) perturbations such as genetic and environmental changes. Systems Medicine (SM) platforms, in which patients are extensively characterized, offer a basis for a more targeted clinical approach, which is predictive, preventive, personalized and participatory (“P4-medicine”). It clearly emerges that in the next future, new opportunities will become available for clinical research on rare COPD patterns and for the identification of new biomarkers of comorbidity, severity, and progression. Herein, we overview the literature discussing the opportunity coming from the adoption of SMapproaches in COPD management, focusing on proteomics and metabolomics, and emphasizing the identification of disease sub-clusters, to improve the development of more effective therapies
Chest-tube digital assessment after pulmonary resection: the crucial role of time-trend analysis and a new model to predict a persistent air leak
chest tube digital assesmen
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