Can artificial intelligence distinguish between malignant and benign mediastinal lymph nodes using sonographic features on EBUS images?

OZCELIK, Neslihan/0000-0002-4672-6179WOS: 000583594300001PubMed: 33054411Aims This study aimed to develop a new intelligent diagnostic approach using an artificial neural network (ANN). Moreover, we investigated whether the learning-method-guided quantitative analysis approach adequately described mediastinal lymphadenopathies on endobronchial ultrasound (EBUS) images. Methods in total, 345 lymph nodes (LNs) from 345 EBUS images were used as source input datasets for the application group. the group consisted of 300 and 45 textural patterns as input and output variables, respectively. the input and output datasets were processed using MATLAB. All these datasets were utilized for the training and testing of the ANN. Results the best diagnostic accuracy was 82% of that obtained from the textural patterns of the LNs pattern (89% sensitivity, 72% specificity, and 78.2% area under the curve). the negative predictive values were 81% compared to the corresponding positive predictive values of 83%. Due to the application group's pattern-based evaluation, the LN pattern was statistically significant (p = .002). Conclusions the proposed intelligent approach could be useful in making diagnoses. Further development is required to improve the diagnostic accuracy of the visual interpretation

Syncope as a subject of the risk assessment of pulmonary thromboembolism to be used for: A cross-sectional study

WOS: 000437844500017PubMed: 29498800IntroductionSyncope is infrequent in pulmonary thromboembolism (PTE) yet might be indicative of haemodynamic instability. the prognostic role of syncope in PTE has not been well documented. ObjectivesIn this study, the association between risk classification of the European Society of Cardiology and syncope was investigated in the normotensive PTE patients. MethodsWe retrospectively screened electronic medical records of patients who were admitted in 2 tertiary care hospital and diagnosis of PTE with computed tomography pulmonary angiography. Patients with hypotension (high risk) at the time of admission were excluded from the study. ResultsOf 5% patients (16/322) had syncope with the proportion of 81.3% (13/16) in the intermediate high risky group, 18.7% (3/16) in intermediate low risk group and 0% in low risk group. Mortality rate was higher in subjects with syncope (25% vs 11.1%) although it was not it was not statistically significant (P=NS). in those with syncope, the central venous thrombus was more frequent than those without it (78.6% vs 30.1%, P=.008). Only heart rate and intermediate high-risk group were retained as independent predictors of syncope selection in the multivariate logistic regression. ConclusionAlthough syncope is positively correlated with the severity of PTE, it does not predict the prognosis alone. Nonetheless, syncope in patients with PTE can be considered as an important alarming stimulus for clinical course

General Characteristics and Prognostic Factors of Pneumonia Cases Developed During Pandemic (H1N1) Influenza-A Virus Infection in Turkey

WOS: 000317543300016PubMed ID: 25207072Objective: Unlike seasonal influenza, seen in previous years, the strain identified in the 2009 influenza-A pandemic involved high mortality. In this study, prognostic factors and general characteristics of pneumonia cases developed in Turkey during the H1N1 pandemic between October 2009 and January 2010 were analyzed. Study Design: Multicenter retrospective study. Material and Methods: This multicentric retrospective study was conducted between August and October 2010 and patients' data were collected by means of standard forms. Results: The study included 264 pneumonia cases, collected from 14 different centers. Mean age was 47.5 +/- 18.6 years. Nineteen patients (7.2%) were pregnant or had a new birth and comorbid diseases were detected in 52.3% of all patients. On admission, 35 (13.8%) cases had altered mental status. Overall, 32.6% were treated in intensive care units (ICU) and invasive/non-invasive mechanical ventilation was performed in 29.7%. The mean duration of ICU stay was 2.9 +/- 6.2 and total hospital stay was 12.0 +/- 9.4 days. Mortality rate was 16.8% (43-cases). The length of ICU treatment, total hospital stay, and mortality were significantly higher in H1N1-confirmed patients. Mortality was significantly higher in patients with dyspnea, cyanosis, and those who had altered mental status on admission. Patients who died had significantly higher rate of peripheral blood neutrophils, lower platelet counts, higher BUN, and lower SaO(2) levels. Conclusion: This study showed that pneumonia developed during H1N1 pandemic in our country had resulted in a high mortality. Mortality was especially high among patients with cyanosis, altered mental state and those with lower SaO(2)