AI Article Synopsis
- Pulmonary artery aneurysms (PAAs) are uncommon but significant vascular issues that can present with vague symptoms, with some patients being asymptomatic while others may experience chest pain or difficulty breathing.
- PAAs can be caused by various factors including congenital conditions, acquired factors, and unknown origins, with giant cell arteritis (GCA) being a rare cause outlined in limited case reports.
- This case series presents an analysis of four patients diagnosed with isolated PAAs attributed to GCA, focusing on their clinical presentations, diagnostic imaging techniques, and treatment options.
Article Abstract
Pulmonary artery aneurysms (PAAs) are rare, but important vascular phenomena with nonspecific signs and symptoms. While some patients remain asymptomatic, others manifest with serious symptoms such as chest pain, dyspnea, or hemoptysis. Often diagnosed incidentally, PAAs have various underlying etiologies, including congenital, acquired, and idiopathic. Giant cell arteritis (GCA) is a very rare cause of PAAs, with limited reported cases in the literature. This case series will review the clinical presentation, multimodality imaging, and management of four patients with isolated PAA due to GCA.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1007/s10554-024-03246-0 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Visual-textual integration in LLMs for medical diagnosis: A preliminary quantitative analysis.
Comput Struct Biotechnol J
December 2024
Division of Data-Driven and Digital Medicine (D3M), Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Background And Aim: Visual data from images is essential for many medical diagnoses. This study evaluates the performance of multimodal Large Language Models (LLMs) in integrating textual and visual information for diagnostic purposes.
Methods: We tested GPT-4o and Claude Sonnet 3.
Microstructural and functional connectivity changes of decision-related brain networks in end-stage kidney disease patients undergoing peritoneal dialysis.
Kidney Res Clin Pract
January 2025
Department of Radiology, The First Affiliated Hospital of Shantou University Medical College, Shantou, China.
Background: We aimed to explore changes in decision-related brain microstructure, brain functional activities, and functional connectivity, and their correlations with cognitive function in end-stage kidney disease (ESKD) patients undergoing peritoneal dialysis (PD). Furthermore, the impact of dialysis on these changes was examined.
Methods: Thirty ESKD patients undergoing PD, 20 chronic kidney disease (CKD) stage 5 patients without dialysis (predialysis CKD stage 5), and 30 healthy controls (HC) were recruited for the study.
Clinical application of third-generation dual-source CT-based dynamic imaging reconstruction for pulmonary embolism imaging.
J Cardiothorac Surg
January 2025
Department of Thyroid Breast Cardiothoracic & Vascular Surgery, Beibei District Hospital of Traditional Chinese Medicine, No. 380 Jiangjun Road, Beibei District, Chongqing, 400700, China.
Background: To evaluate the clinical diagnostic value of third-generation dual-source CT for pulmonary embolism, focusing on the optimization of dual-source CT scanning with dynamic reconstruction in acute pulmonary embolism (PE) and various imaging manifestations.
Methods: Eighty-two patients with pulmonary embolism were enrolled and randomly divided into standard CT angiography (SCTA) and dynamic CT angiography (DCTA). DCTA patients were divided into dynamic CT angiography arterial phase (DCTAa), time phase Angiography reconstruction (TMIP-CTA), and 4D noise reduction TMIP-CTA according to the image reconstruction.
Baseline [F]FDG PET/CT radiomics for predicting interim efficacy in follicular lymphoma treated with first-line R-CHOP.
BMC Cancer
January 2025
PET/CT center, The Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, 127 Dongming Road, Zhengzhou, Henan, 450008, China.
Objective: To investigate the predictive value of machine learning-based PET/CT radiomics and clinical risk factors in predicting interim efficacy in patients with follicular lymphoma (FL).
Methods: This study retrospectively analyzed data from 97 patients with FL diagnosed via histopathological examination between July 2012 and November 2023. Lesion segmentation was performed using LIFEx software, and radiomics features were extracted through the uAI Research Portal (uRP) platform, including first-order features, shape features, and texture features.
Feasibility analysis of non-electrocardiogram-triggered chest low-dose computed tomography using a kV-independent reconstruction algorithm for predicting cardiovascular disease risk in patients receiving maintenance hemodialysis.
BMC Cardiovasc Disord
January 2025
Department of Computed Tomography and Magnetic Resonance, Fourth Hospital of Hebei Medical University, Shijiazhuang, China.
Objectives: This study aimed to evaluate the feasibility and accuracy of non-electrocardiogram (ECG)-triggered chest low-dose computed tomography (LDCT) with a kV-independent reconstruction algorithm in assessing coronary artery calcification (CAC) degree and cardiovascular disease risk in patients receiving maintenance hemodialysis (MHD).
Methods: In total, 181 patients receiving MHD who needed chest CT and coronary artery calcium score (CACS) scannings sequentially underwent non-ECG-triggered, automated tube voltage selection, high-pitch chest LDCT with a kV-independent reconstruction algorithm and ECG-triggered standard CACS scannings. Then, the image quality, radiation doses, Agatston scores (ASs), and cardiac risk classifications of the two scans were compared.
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!