Which Is More Valuable in the Diagnosis of Pulmonary Thromboembolism? The Wells Score, the Revised Geneva Score, or the Padua Score?

Background: Pulmonary thromboembolism (PTE) is a preventable yet potentially fatal condition with significant morbidity and mortality. Several clinical scoring systems, including the Wells and modified Geneva scores, have been developed to assess the likelihood of PTE and guide further diagnostic evaluation. The Padua prediction score, primarily used to assess venous thromboembolism (VTE) risk in hospitalized patients, has also been considered for its potential utility in suspected PTE cases.

Optimizing malignancy prediction: A comparative analysis of transfer learning techniques on EBUS images.

Background: Improving diagnostic accuracy in EBUS image analysis using machine learning is a current challenge. This study aimed to identify the most effective transfer learning model for predicting lymph node malignancy.

Methods: EBUS images collected between 2020-2023 were retrospectively analyzed.

In Silico Identification of LSD1 Inhibition-Responsive Targets in Small Cell Lung Cancer.

Small cell lung cancer (SCLC) is an aggressive neuroendocrine malignancy characterized by rapid progression, high metastatic potential, and limited therapeutic options. Lysine-specific demethylase 1 (LSD1) has been identified as a promising epigenetic target in SCLC. RG6016 (ORY-1001) is a selective LSD1 inhibitor currently under clinical investigation for its antitumor activity.

Syncope in Pulmonary Thromboembolism: A Cross-Sectional Analysis of Risk Factors and the Prognostic Value of Syncope.

: This study investigated the frequency of syncope, factors associated with syncope, and the relationship between syncope and mortality in patients with pulmonary thromboembolism (PTE). : This study was planned as single-center retrospective and cross-sectional research. The PTE diagnosis was confirmed by partial or complete filling defects in at least one branch of the pulmonary circulation seen on pulmonary spiral computed tomography angiography.

Rates of PCR Positivity of Pleural Drainage Fluid in COVID-19 Patients: Is It Expected?

Background: Tube thoracostomy, utilized through conventional methodologies in the context of pleural disorders such as pleural effusion and pneumothorax, constitutes one of the primary therapeutic interventions. Nonetheless, it is imperative to recognize that invasive procedures, including tube thoracostomy, are classified as aerosol-generating activities during the management of pleural conditions in patients afflicted with COVID-19, thus raising substantial concerns regarding the potential exposure of healthcare personnel to the virus. The objective of this investigation was to assess the SARS-CoV-2 viral load by detecting viral RNA in pleural drainage specimens from patients who underwent tube thoracostomy due to either pleural effusion or pneumothorax.

Clinical Course of Coronavirus disease 2019 C-19 in Patients with Bronchiectasis.

Objective: Coronavirus disease 2019 (COVID-19) has affected the whole world and caused the death of more than 6 million people. The disease has been observed to have a more severe course in patients with chronic lung diseases. There are limited data regarding COVID-19 in patients with bronchiectasis.

Computed tomography attenuation in differential diagnosis of transudative and exudative pleural effusions.

Objective: Pleural effusion is a common medical problem. It is important to decide whether the pleural fluid is a transudate or an exudate. This study aims to measure the attenuation values of pleural effusions on thorax computed tomography and to investigate the efficacy of this measurement in the diagnostic separation of transudates and exudates.

Lung cancer detection based on computed tomography image using convolutional neural networks.

Background: Lung cancer is the most common type of cancer, accounting for 12.8% of cancer cases worldwide. As initially non-specific symptoms occur, it is difficult to diagnose in the early stages.

Deep learning for diagnosis of malign pleural effusion on computed tomography images.

Background: The pleura is a serous membrane that surrounds the lungs. The visceral surface secretes fluid into the serous cavity and the parietal surface ensures a regular absorption of this fluid. If this balance is disturbed, fluid accumulation occurs in the pleural space called "Pleural Effusion".

Perceived Need for Mental Health Services Among Healthcare Workers During the Coronavirus Disease-19 Pandemic in Turkey: A Multicenter Cross-sectional Study.

Background: The coronavirus disease-2019 pandemic has contributed to work-related psychosocial risks in healthcare workers.

Aims: To evaluate the perceived need for mental health services and related factors in Turkish healthcare workers practicing in pandemic hospitals.

Study Design: Cross-sectional study.

Caregiver Burden in Pulmonary Patients.

Caregiving has become an increasingly important medical and social issue in recent decades. We performed a cross-sectional study on pulmonary patients and accompanying informal caregivers who were hospitalized in the chest disease ward of a tertiary center in Turkey between January 2020 and April 2021. Informal caregivers were asked to complete the Zarit Caregiver Burden Interview.

'COVID-Somnia' in healthcare workers during the pandemic.

Objectives: Sleep disorders associated with COVID-19 pandemic are termed as 'COVID-somnia.' In this study, we sought to assess the prevalence of COVID-somnia in healthcare workers, establish the factors that trigger this condition, and to investigate its relationship with anxiety and depression symptoms.

Methods: This cross-sectional study was conducted between April 2021 and June 2021, and it included healthcare workers who served during the pandemic.

Turkish Thoracic Society Early Career Members Task Force Group's Virtual Congress Notes: European Respiratory Society International Congress 2020.

In this article, Early Career Task Force Group members of the Turkish Thoracic Society summarize the European Respiratory Society 2020 virtual congress. Current developments in the field of respiratory diseases were compiled with the addition of sessions specific to coronavirus disease 2019 this year. Almost all of the congress sessions were examined, and the important and striking results of the congress were highlighted.

Evaluation of Thiol/Disulfide Homeostasis in Bronchiectasis.

Purpose: Thiols are sulfhydryl-containing organic compounds that have an important role in preventing cellular oxidative stress. This study compares the blood oxidative stress marker levels in bronchiectasis cases during their stable periods with healthy controls.

Materials And Methods: Seventy-seven patients (49 patients with stable bronchiectasis/28 healthy controls), followed up by the chest disease clinic, were included in the study.

Distant Metastasis Patterns of Lung Cancer on Positron Emission Tomography/Computed Tomography Association with Age and Histological Subtype.

Objective: To investigate whether age or other factors are determinants of distant metastasis in patients with lung cancer.

Study Design: Observational study.

Place And Duration Of Study: Department of Nuclear Medicine, Recep Tayyip Erdogan University, Rize, Turkey between December, 2018 and February, 2019.

Thyroid Gland Disease as a Comorbid Condition in COPD.

Introduction: Chronic obstructive pulmonary disease (COPD) is one of the most common causes of morbidity and mortality worldwide. The disease is characterized by progressive airway inflammation, which not only affects the airways but also has systemic effects that are associated with comorbidities. Although comorbid conditions such as hypertension and coronary artery disease are very well-known in COPD patients, diseases of the thyroid gland have not been sufficiently studied.

Artificial intelligence applications in pulmonology and its advantages during the pandemic period.

Artificial intelligence, with its increasing data volume, developing technologies, more information processing power and new algorithms, has a wide usage area in all sectors. In the field of health, these technologies is gaining an increasing place every day. Artificial intelligence methods can act as a simulation of the human mind and intelligence, resulting in the analysis and classification of complex data in a short time.

The Role of Hematological Inflammatory Biomarkers in the Diagnosis of Lung Cancer and in Predicting TNM Stage.

Objective: The aim of study is to investigate whether hematological inflammatory biomarkers could be useful to detect patients with lung cancer.

Methods: The contribution of hematological biomarkers to the diagnosis of lung cancer and prediction of TNM was examined.

Results: NLR, PLR, MPV values were found to be higher in patients with lung cancer (all  < .

The Relationship between COVID-19 Severity and Bacillus Calmette-Guérin (BCG)/ exposure history in healthcare workers: a multi-center study.

The COVID-19 pandemic has brought countries' health services into sharp focus. It was drawn to our group's attention that healthcare workers (HCWs) had a lower mortality rate against higher COVID-19 incidence compared to the general population in Turkey. Since risk of exposure to tuberculosis bacillus among healthcare workers are higher than the population, we aimed to investigate if there is a relationship between BCG and exposure history with COVID-19 severity in infected HCWs.