Publications by authors named "Yau-lin Tseng"

Background/purpose: This multi-institutional study was aimed to analyze prognostic factors of completely resected early stage thymoma.

Methods: Patients with surgically treated early stage thymoma between 1988 and 2019 were enrolled. Statistical associations were evaluated using the χ test, Fisher's exact test, and Student's t-test.

View Article and Find Full Text PDF
Article Synopsis
  • Lung cancer is a serious health issue, primarily driven by non-small cell lung cancer (NSCLC), which makes up 85% of cases, and is associated with high mortality rates.
  • Researchers focused on the c-Met receptor tyrosine kinase, which is often overexpressed in lung cancer, and used a specialized oncolytic adenovirus (Ad.What) to specifically target lung cancer cells.
  • Combining this oncolytic adenovirus with rapamycin enhanced its effectiveness by increasing the receptors that cancer cells use for infection, suggesting a promising new treatment strategy for lung cancer.
View Article and Find Full Text PDF

Objectives: This study aimed to investigate the prevalence and characteristics of clinical and environmental isolates in Taiwan.

Methods: isolates obtained from patients at three hospitals and from 530 soil samples across Taiwan were screened. , confirmed by calmodulin sequencing, was subjected to antifungal susceptibility testing and analyses.

View Article and Find Full Text PDF

Articular cartilage regeneration is a major challenge in orthopedic medicine. Endothelial progenitor cells (EPCs) are a promising cell source for regenerative medicine applications. However, their roles and functions in cartilage regeneration are not well understood.

View Article and Find Full Text PDF

Background: Robot-assisted minimally invasive oesophagectomy and conventional minimally invasive oesophagectomy are superior to open techniques. However, few studies have directly compared the outcomes of the two minimally invasive approaches.

Methods: A retrospective study of patients from six medical centres with oesophageal squamous cell carcinoma who underwent minimally invasive oesophagectomy between 2015 and 2022.

View Article and Find Full Text PDF
Article Synopsis
  • IL-33 acts as a danger signal that interacts with ST2L, promoting tumor growth in the lungs by creating a positive-feedback loop that enhances ST2L expression and trafficking in macrophages.
  • The mechanism involves IL-33 activating NF-κB, which increases ST2L levels, while Rab37 facilitates the movement of ST2L to the surface of M2 macrophages, further driving tumor progression.
  • Blocking IL-33 or ST2L with neutralizing antibodies can inhibit tumor growth by reducing M2 macrophage activity, and the presence of specific macrophage markers correlates with worse outcomes in advanced lung cancer, suggesting a potential target for cancer therapies.
View Article and Find Full Text PDF

Large primary tumor volume has been identified as a poor prognostic factor of esophageal squamous cell carcinoma (ESCC) treated with definitive concurrent chemoradiotherapy (CCRT). However, when neoadjuvant CCRT and surgery are adopted, the prognostic impact of primary tumor and lymph node (LN) volume on clinical outcomes in ESCC remains to be elucidated. This study included 107 patients who received neoadjuvant CCRT and surgery for ESCC.

View Article and Find Full Text PDF

Background: Low-dose computed tomography (LDCT) has been shown useful in early lung cancer detection. This study aimed to develop a novel deep learning model for detecting pulmonary nodules on chest LDCT images.

Methods: In this secondary analysis, three lung nodule datasets, including Lung Nodule Analysis 2016 (LUNA16), Lung Nodule Received Operation (LNOP), and Lung Nodule in Health Examination (LNHE), were used to train and test deep learning models.

View Article and Find Full Text PDF

Background: Patient education (PE) is essential for improving patients' knowledge, anxiety, and satisfaction, and supporting their postoperative recovery. However, the advantages of video-assisted thoracoscopic surgery (VATS)-smaller incisions and faster recovery-can result in shorter hospital stays, making PE more challenging to implement effectively. Multimedia PE can potentially enhance PE, but its effectiveness for patients undergoing VATS is unclear.

View Article and Find Full Text PDF

Drug resistance in cancer therapy is the major reason for poor prognosis. Addressing this clinically unmet issue is important and urgent. In this study, we found that targeting USP24 by the specific USP24 inhibitors, USP24-i and its analogues, dramatically activated autophagy in the interphase and mitotic periods of lung cancer cells by inhibiting E2F4 and TRAF6, respectively.

View Article and Find Full Text PDF

The study aimed to develop machine learning (ML) classification models for differentiating patients who needed direct surgery from patients who needed core needle biopsy among patients with prevascular mediastinal tumor (PMT). Patients with PMT who received a contrast-enhanced computed tomography (CECT) scan and initial management for PMT between January 2010 and December 2020 were included in this retrospective study. Fourteen ML algorithms were used to construct candidate classification models via the voting ensemble approach, based on preoperative clinical data and radiomic features extracted from the CECT.

View Article and Find Full Text PDF

Mucin-1 is a multi-functional glycoprotein expressed by type II alveolocytes and may be detectable in the circulation following pulmonary fibrosis. The prognostic utility of baseline pre-treatment blood levels of mucin-1 in patients with idiopathic pulmonary fibrosis (IPF) receiving antifibrotics has not yet been fully established. We retrospectively studied a cohort of patients (from two hospitals) with IPF who were receiving pirfenidone for >12 weeks.

View Article and Find Full Text PDF

Background: Following surgery, perioperative pulmonary rehabilitation (PR) is important for patients with early-stage lung cancer. However, current inpatient programs are often limited in time and space, and outpatient settings have access barriers. Therefore, we aimed to develop a background-free, zero-contact thoracoabdominal movement-tracking model that is easily set up and incorporated into a pre-existing PR program or extended to home-based rehabilitation and remote monitoring.

View Article and Find Full Text PDF

Anterior mediastinal procedures are increasingly being performed using robot-assisted thoracic surgery (RATS) or video-assisted thoracoscopic surgery (VATS). While both approaches have shown superior outcomes compared to open surgery, their comparative benefits are not as distinct. The aim of this retrospective study was to bridge this knowledge gap using a multicenter dataset.

View Article and Find Full Text PDF
Article Synopsis
  • The study aims to create a model that combines deep learning, radiomics, and clinical data to classify lung nodules as benign or malignant, and further categorize them by pathological subtype and Lung-RADS scores.
  • The model was trained on three datasets, achieving high accuracy of 92.8% for benign/malignant classification and strong F1-scores of 75.5% and 80.4% for subtype and Lung-RADS classification, respectively.
  • This research indicates that the proposed model can effectively classify lung nodules, potentially aiding in better diagnosis and treatment decisions.
View Article and Find Full Text PDF

Although combination therapy including chemotherapy and immune checkpoint inhibitors (ICIs) improves overall survival (OS) of patients with non-small-cell lung cancer (NSCLC), there is a higher incidence of adverse events and treatment discontinuation. Since programmed death-ligand 1 (PD-L1) could not serve as a predictive biomarker, we investigated the neutrophil-to-lymphocyte ratio (NLR) as a predictive biomarker. In our previous research, we demonstrated that a low NLR could predict survival benefits when patients with high PD-L1 expression (> 50%) received chemoimmunotherapy as opposed to immunotherapy alone.

View Article and Find Full Text PDF

Background And Objective: Multidrug-resistant tuberculosis (MDR-TB) requires extended treatment with regimens with multiple side effects, resulting in high treatment failure rates. Adjunctive lung resection combined with anti-tubercular agents improves outcomes. However, few studies have evaluated the potential harm from surgery and determined the optimal conditions for surgery.

View Article and Find Full Text PDF

Objective: Segmentectomy as a parenchymal-sparing surgical approach has been recommended over lobectomy in select patients with early-stage non-small cell lung cancer. This study aimed to address 3 aspects of segmentectomy ("patient indication"; "segmentectomy approaches"; "lymph node assessment") where there is limited clinical guidance.

Methods: A modified Delphi approach comprising 3 anonymous surveys and 2 expert discussions was used to establish consensus on the aforementioned topics among 15 thoracic surgeons (2 Steering Committee; 2 Task Force; 11 Voting Experts) from Asia who have extensive segmentectomy experience.

View Article and Find Full Text PDF

Background: Some prospective studies have shown that second-generation tyrosine kinase inhibitors (TKIs) provide better control in patients with non-small cell lung cancer (NSCLC) with uncommon epidermal growth factor receptor (EGFR) mutations. However, studies comparing second-line chemotherapy efficacy between NSCLC patients with common and uncommon EGFR mutations remain rare. This retrospective study compared treatment outcomes in these patients.

View Article and Find Full Text PDF

Purpose: To compare the diagnostic performance of radiomic analysis with machine learning (ML) model with a convolutional neural network (CNN) in differentiating thymic epithelial tumors (TETs) from other prevascular mediastinal tumors (PMTs).

Methods: A retrospective study was performed in patients with PMTs and undergoing surgical resection or biopsy in National Cheng Kung University Hospital, Tainan, Taiwan, E-Da Hospital, Kaohsiung, Taiwan, and Kaohsiung Veterans General Hospital, Kaohsiung, Taiwan between January 2010 and December 2019. Clinical data including age, sex, myasthenia gravis (MG) symptoms and pathologic diagnosis were collected.

View Article and Find Full Text PDF
Article Synopsis
  • PD-L1 expression's ability to predict the effectiveness of EGFR-TKIs in NSCLC is debated, with recent studies suggesting various pathways can influence its signaling.
  • Researchers investigated how mechanisms like STAT3, AKT, and BIM expression impact PD-L1's prognostic significance in EGFR mutant advanced NSCLC patients who received treatment.
  • Results showed that high BIM expression correlated with shorter progression-free survival, indicating that BIM may be a crucial factor in determining the response to EGFR-TKIs like gefitinib, highlighting a need for further studies to confirm these findings.
View Article and Find Full Text PDF

Objectives: A novel method applying inertial measurement units (IMUs) was developed to assist CT-guided puncture, which enables real-time displays of planned and actual needle trajectories. The method was compared with freehand and laser protractor-assisted methods.

Methods: The phantom study was performed by three operators with 8, 2, and 0 years of experience in CT-guided procedure conducted five consecutive needle placements for three target groups using three methods (freehand, laser protractor-assisted, or IMU-assisted method).

View Article and Find Full Text PDF

Background: Organising pneumonia (OP) has variable clinical and radiographic presentations and unstandardised treatments. Most patients with OP have favourable outcomes, but some develop respiratory insufficiency, experience recurrence or die. In this study we investigated the impact of computed tomographic (CT) patterns and extent of OP on the diagnostic and therapeutic management that patients received, and that on the therapeutic response and prognosis (particularly the risk of respiratory insufficiency and death).

View Article and Find Full Text PDF