Introduction: Diffuse alveolar damage (DAD) is the pathological hallmark of acute respiratory distress syndrome (ARDS), however, the presence of DAD in the clinical criteria of ARDS patients by Berlin definition is little known. This study is designed to investigate the role of DAD in ARDS patients who underwent open lung biopsy. Methods: We retrospectively reviewed all ARDS patients who met the Berlin definition and underwent open lung biopsy from January 1999 to January 2014 in a referred medical center. DAD is characterized by hyaline membrane formation, lung edema, inflammation, hemorrhage and alveolar epithelial cell injury. Clinical data including baseline characteristics, severity of ARDS, clinical and pathological diagnoses, and survival outcomes were analyzed. Results: A total of 1838 patients with ARDS were identified and open lung biopsies were performed on 101 patients (5.5 %) during the study period. Of these 101 patients, the severity of ARDS on diagnosis was mild of 16.8 %, moderate of 56.5 % and severe of 26.7 %. The hospital mortality rate was not significant difference between the three groups (64.7 % vs 61.4 % vs 55.6 %, p = 0.81). Of the 101 clinical ARDS patients with open lung biopsies, 56.4 % (57/101) patients had DAD according to biopsy results. The proportion of DAD were 76.5 % (13/17) in mild, 56.1 % (32/57) in moderate and 44.4 % (12/27) in severe ARDS and there is no significant difference between the three groups (p = 0.113). Pathological findings of DAD patients had a higher hospital mortality rate than non-DAD patients (71.9 % vs 45.5 %, p = 0.007). Pathological findings of DAD (odds ratio: 3.554, 95 % CI, 1.385–9.12; p = 0.008) and Sequential Organ Failure Assessment score on the biopsy day (odds ratio: 1.424, 95 % CI, 1.187–1.707; p<0.001) were significantly and independently associated with hospital mortality. The baseline demographics and clinical characteristics were not significantly different between DAD and non-DAD patients. Conclusions: The correlation of pathological findings of DAD and ARDS diagnosed by Berlin definition is modest. A pathological finding of DAD in ARDS patients is associated with hospital mortality and there are no clinical characteristics that could identify DAD patients before open lung biopsy.

In the clinic, the wheezing sound is usually considered as an indicator symptom to reflect the degree of airway obstruction. The auscultation approach is the most common way to diagnose wheezing sounds, but it subjectively depends on the experience of the physician. Several previous studies attempted to extract the features of breathing sounds to detect wheezing sounds automatically. However, there is still a lack of suitable monitoring systems for real-time wheeze detection in daily life. In this study, a wearable and wireless breathing sound monitoring system for real-time wheeze detection was proposed. Moreover, a breathing sounds analysis algorithm was designed to continuously extract and analyze the features of breathing sounds to provide the objectively quantitative information of breathing sounds to professional physicians. Here, normalized spectral integration (NSI) was also designed and applied in wheeze detection. The proposed algorithm required only short-term data of breathing sounds and lower computational complexity to perform real-time wheeze detection, and is suitable to be implemented in a commercial portable device, which contains relatively low computing power and memory. From the experimental results, the proposed system could provide good performance on wheeze detection exactly and might be a useful assisting tool for analysis of breathing sounds in clinical diagnosis.

The incidence of acute respiratory distress syndrome (ARDS) and the mortality rate of H1N1 influenza pneumonia are unclear. The aim of this study is to investigate the clinical features and outcomes of adult patients admitted to intensive care units (ICUs) with H1N1 pneumonia related ARDS. This retrospective study included patients with confirmed H1N1 influenza pneumonia admitted to the ICUs of a medical center between July 2009 and May 2014. We investigated the patients' characteristics, clinical presentations, illness severities, and outcomes. Sixty-six patients were confirmed to have H1N1 influenza pneumonia requiring mechanical ventilation. Fifty-four of those patients (82%) developed ARDS, while their hospital mortality rate was 33% (22/66). There were no significant differences in the ICU and hospital mortality rates of the ARDS and non-ARDS patients. Among the ARDS patients, there were higher rates of solid malignant disease (22.8% vs. 2.8%, p = 0.038) and sepsis (66.7% vs. 33.3%, p = 0.020) and a higher mean tidal volume (8.9 ± 1.8 vs. 7.8 ± 1.9 ml/kg, p = 0.032) in the non-survivors than the survivors. Logistic regression analysis revealed that a high tidal volume (odds ratio = 1.448, 95 % CI = 1.033-2.030; p = 0.032) and sequential organ failure assessment (SOFA) score (odds ratio = 1.233, 95% CI = 1.029-1.478; p = 0.023) were the risk factors of hospital mortality. For H1N1 influenza pneumonia patients admitted to ICUs with mechanical ventilation, there is a high probability of developing ARDS with a modest mortality rate. For patients with ARDS due to H1N1 influenza pneumonia, the tidal volume and SOFA score are the predictors of hospital mortality.

Background and Objectives: Tuberculous pleurisy is a common extrapulmonary TB that poses a health threat. However, diagnosis of TB pleurisy is challenging because of the low positivity rate of pleural effusion mycobacterial culture and difficulty in retrieval of optimal pleural tissue. This study aimed to investigate the efficacy of mycobacterial culture from pleural tissue, obtained by forceps biopsy through medical pleuroscopy, in the diagnosis of TB pleurisy. Materials and Methods: This study retrospectively enrolled 68 TB pleurisy patients. Among them, 46 patients received semi-rigid pleuroscopy from April 2016 to March 2021 in a tertiary hospital. We analyzed the mycobacterial culture from pleural tissue obtained by forceps biopsy. Results: The average age of the study participants was 62.8 years, and 64.7% of them were men. In the pleuroscopic group, the sensitivity of positive Mycobacterium tuberculosis (M. TB) cultures for sputum, pleural effusion, and pleural tissue were 35.7% (15/42), 34.8% (16/46), and 78.3% (18/23), respectively. High sensitivities of M. TB culture from pleural tissue were up to 94.4% and 91.7% when pleural characteristic patterns showed adhesion lesions and both adhesion lesions and presence of micronodules, respectively. Conclusions: M. TB culture from pleural tissue should be considered a routine test when facing unknown pleural effusion during pleuroscopic examination.

Tyrosine kinase inhibitors (TKIs) of epidermal growth factor receptor (EGFR) were previously the standard first-line treatments for lung cancers with activating EGFR mutations. The first-generation reversible EGFR TKIs, gefitinib and erlotinib, demonstrated substantial efficacy in the treatment of brain metastases from EGFR-mutated lung adenocarcinoma. However, the efficacy of afatinib, the second-generation irreversible EGFR TKI, as the first-line treatment in lung adenocarcinoma patients with brain metastasis has yet to be evaluated.Here, we report cases of 3 patients who received afatinib alone as the first-line treatment in combination with whole-brain radiotherapy or following surgical resection of brain metastases. All 3 patients had EGFR L858R mutation. The first patient had lung adenocarcinoma with brain metastasis and no neurologic symptoms. After consultation, she received afatinib as a first-line treatment. Chest computed tomography and brain magnetic resonance imaging (MRI) showed partial response. The second patient had lung adenocarcinoma accompanied with a metastatic brain lesion associated with seizures. This patient received whole-brain radiotherapy and afatinib treatment following brain MRI and subsequently showed significant regression of the brain metastasis. The third patient had strabismus of the right eye, and brain MRI showed a single tumor at the cerebellar pontine angle. This patient underwent surgical resection of the tumor followed by afatinib treatment. He refused adjuvant radiotherapy after surgery for brain metastasis. The brain MRI showed no recurrent brain metastasis, and the patient had relatively less neurologic deficiency.This series of 3 cases indicate that afatinib may be an appropriate first-line treatment alternative in patients having lung adenocarcinoma with EGFR mutations. Further retrospective analyses and prospective clinical trials are required to substantiate the efficacy of afatinib in the treatment of brain metastases of lung adenocarcinoma.

In recent years, Image-Guide Navigation Systems (IGNS) have become an important tool for various surgical operations. In the preparations for planning a surgical path, verifying the location of a lesion, etc., it is an essential tool; in operations such as bronchoscopy, which is the procedure for the inspection and retrieval of diagnostic samples for lung-related surgeries, it is even more so. The IGNS for bronchoscopy uses 2D-based images from a flexible bronchoscope to navigate through the bronchial airways in order to reach the targeted location. In this procedure, the accurate localization of the scope becomes very important, because incorrect information could potentially cause a surgeon to mistakenly direct the scope down the wrong passage. It would be a great aid for the surgeon to be able to visualize the bronchoscope images alongside the current location of the bronchoscope. For this purpose, in this paper, we propose a novel registration method to match real bronchoscopy images with virtual bronchoscope images from a 3D bronchial tree model built using computed tomography (CT) image stacks in order to obtain the current 3D position of the bronchoscope in the airways. This method is a combination of a novel position-tracking method using the current frames from the bronchoscope and the verification of the position of the real bronchoscope image against an image extracted from the 3D model using an adaptive-network-based fuzzy inference system (ANFIS)-based image matching method. Experimental results show that the proposed method performs better than the other methods used in the comparison.