This case report describes a 49 year old woman with an intra-parenchymal bronchogenic cyst masked on chest x-ray examination by a pleural effusion. The cyst was intact. It is likely that the cyst provoked the pleural effusion by repetitive mechanical irritation of the pleura. At surgery, the cyst was removed and the pleural effusion drained without recurrence. The cyst was unilocular and measured 8.5 x 7.0 x 0.8 cm with a smooth and glistening lining. It was filled with approximately 300 ml of clear fluid. Microscopic examination confirmed the bronchogenic cyst. This is the first case of an intact intra-parenchymal bronchogenic cyst associated with a pleural effusion that was not due to rupture of the cyst, infection or malignancy.

Download full-text PDF

Source

Publication Analysis

Top Keywords

pleural effusion
20
bronchogenic cyst
16
cyst
9
intra-parenchymal bronchogenic
8
pleural
5
effusion
5
intact bronchogenic
4
cyst presenting
4
presenting lung
4
lung mass
4

Similar Publications

Accuracy of Fully Automated and Human-assisted AI-based CT Quantification of Pleural Effusion Changes after Thoracentesis.

Radiol Artif Intell

January 2025

From the Department of Radiology (E.J.H., S.K., H.K., D. K., S.H.Y.) and Medical Research Collaborating Center (H.H.), Seoul National University Hospital, 101 Daehak- ro, Jongno-gu, Seoul 03080, Korea; Department of Radiology, Seoul National University College of Medicine (E.J.H., H.K., S.H.Y.), Seoul, Korea; Department of Radiology, Hanyang University Medical Center, Hanyang University College of Medicine (S-J.Y., Seoul, Korea).

Quantifying pleural effusion change on chest CT is important for evaluating disease severity and treatment response. The purpose of this study was to assess the accuracy of artificial intelligence (AI)-based volume quantification of pleural effusion change on CT images, using the volume of drained fluid as the reference standard. Seventy-nine participants (mean age, 65 ± [SD] 13 years; 47 male) undergoing thoracentesis were prospectively enrolled from October 2021 to September 2023.

View Article and Find Full Text PDF

Pleural infections are common and associated with substantial healthcare costs, morbidity, and mortality. Accurate diagnosis remains challenging due to low culture positivity rates, frequent polymicrobial involvement, and non-specific diagnostic biomarkers. Here, we undertook a prospective study examining the feasibility and performance of molecular methods for diagnosing suspected pleural infection.

View Article and Find Full Text PDF

Background: High-flow nasal cannula (HFNC) therapy has developed as a valuable tool for respiratory support in pediatric critical care. It offers an intermediate level of support between traditional low-flow oxygen and non-invasive ventilation (NIV). Studies suggest its effectiveness in improving oxygen delivery, work of breathing, and secretion clearance.

View Article and Find Full Text PDF

Background: Patients with lung adenocarcinoma (LUAD) receiving drug treatment often have an unpredictive response and there is a lack of effective methods to predict treatment outcome for patients. Dendritic cells (DCs) play a significant role in the tumor microenvironment and the DCs-related gene signature may be used to predict treatment outcome. Here, we screened for DC-related genes to construct a prognostic signature to predict prognosis and response to immunotherapy in LUAD patients.

View Article and Find Full Text PDF

This study examines the diagnostic utility of the combined interleukin-33 (IL-33), interferon-γ (IFN-γ), and interleukin-35 (IL-35) test in tuberculous pleural effusion. Forty patients with pleural effusion of unknown etiology admitted to the hospital between December 2020 and December 2023 were selected as the study group. The patients were further categorized into tuberculous (TB) (n = 20) and malignant (n = 20) groups on the basis of their relevant data, while sera from 20 healthy medical checkups were used as control group.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!