AI Article Synopsis

  • Findings from CT scans showed dilatation in segmental pulmonary veins of three patients without any associated cardiovascular issues.
  • Two of the patients exhibited ground glass opacity in the areas correlating with the dilated veins.
  • The results are indicative of a rare type of congenital pulmonary varix.

Article Abstract

This report presents findings detected on computerized tomography of the chest in three patients with dilatation of a segmental pulmonary vein and its branches. Each patient had dilatation of an isolated segmental pulmonary vein and its branches with a normal distribution, and no associated cardiovascular anomalies; in two patients, ground glass opacity corresponding to the distribution of the dilated pulmonary veins was observed. The CT features are consistent with a rare subtype of congenital pulmonary varix.

Download full-text PDF

Source
http://dx.doi.org/10.1111/j.1440-1843.2009.01636.xDOI Listing

Publication Analysis

Top Keywords

segmental pulmonary
12
pulmonary vein
12
isolated segmental
8
detected computerized
8
computerized tomography
8
tomography chest
8
vein branches
8
pulmonary
5
anomalous isolated
4
vein dilatation
4

Similar Publications

Objectives: The aims of the study are to predict lung function impairment in patients with connective tissue disease (CTD)-associated interstitial lung disease (ILD) through computed tomography (CT) quantitative analysis parameters based on CT deep learning model and density threshold method and to assess the severity of the disease in patients with CTD-ILD.

Methods: We retrospectively collected chest high-resolution CT images and pulmonary function test results from 105 patients with CTD-ILD between January 2021 and December 2023 (patients staged according to the gender-age-physiology [GAP] system), including 46 males and 59 females, with a median age of 64 years. Additionally, we selected 80 healthy controls (HCs) with matched sex and age, who showed no abnormalities in their chest high-resolution CT.

View Article and Find Full Text PDF

Background: Nickel is a well-established carcinogen, and China stands as a significant producer of nickel compounds. Nickel-associated lung cancer is increasingly acknowledged as a pressing public health concern. This study presents a comprehensive analysis at temporal, spatial, and population levels utilizing the most recent data from GBD 2019 to estimate the disease burden of nickel-associated lung cancer from 1990 to 2019, and make predictions to 2035.

View Article and Find Full Text PDF

Background: Detecting programmed death ligand 1 (PD-L1) expression based on immunohistochemical (IHC) staining is an important guide for the treatment of lung cancer with immune checkpoint inhibitors. However, this method has problems such as high staining costs, tumor heterogeneity, and subjective differences among pathologists. Therefore, the application of deep learning models to segment and quantitatively predict PD-L1 expression in digital sections of Hematoxylin and eosin (H&E) stained lung squamous cell carcinoma is of great significance.

View Article and Find Full Text PDF

Objective: Fibrosing mediastinitis (FM) is a rare and benign disease affecting the mediastinum and often causes pulmonary hypertension (PH). Timely diagnosis of PH caused by FM is clinically important to mitigate complications such as right heart failure in affected individuals. This retrospective study aimed to analyze the CT imaging characteristics of TB-related FM in patients with tuberculosis (TB).

View Article and Find Full Text PDF

We report the case of a 16-year-old female with previously diagnosed bilateral sub-segmental pulmonary emboli who presented in cardiogenic shock from depressed biventricular function with cardiac MRI demonstrating concern for microvascular coronary injury. She was ultimately diagnosed with catastrophic antiphospholipid antibody syndrome-induced ischaemic cardiomyopathy, potentially associated with an underlying autoimmune connective tissue disease.

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!