Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1007/s00063-016-0184-6 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Development of a clinical prediction model for benign and malignant pulmonary nodules with a CTR ≥ 50% utilizing artificial intelligence-driven radiomics analysis.
BMC Med Imaging
January 2025
Department of Thoracic Surgery, The Fifth Clinical Medical College of Henan, University of Chinese Medicine (Zhengzhou People's Hospital), Zhengzhou, 450003, China.
Objective: In clinical practice, diagnosing the benignity and malignancy of solid-component-predominant pulmonary nodules is challenging, especially when 3D consolidation-to-tumor ratio (CTR) ≥ 50%, as malignant ones are more invasive. This study aims to develop and validate an AI-driven radiomics prediction model for such nodules to enhance diagnostic accuracy.
Methods: Data of 2,591 pulmonary nodules from five medical centers (Zhengzhou People's Hospital, etc.
[F]FDG PET/CT versus Dynamic Contrast-Enhanced CT for the diagnosis of solitary pulmonary Nodule: A Head-to-Head comparative Meta-Analysis.
Eur J Radiol
January 2025
Third Hospital of Shanxi Medical University, Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Tongji Shanxi Hospital, Taiyuan, 030032, China; Department of Pulmonary and Critical Care Medicine, Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Third Hospital of Shanxi Medical University, Tongji Shanxi Hospital, Taiyuan, 030032, China; Department of Pulmonary and Critical Care Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China. Electronic address:
Purpose: This head-to-head comparative meta-analysis aimed to evaluate the comparative diagnostic efficacy of [F]FDG PET/CT and dynamic contrast-enhanced CT(DCE-CT) for the differentiation between malignant and benign pulmonary nodules.
Methods: An extensive search was conducted in the PubMed, Embase, and Web of Science to identify available publications up to March 23, 2024. Studies were included if they evaluated the diagnostic efficacy of [F]FDG PET/CT and DCE-CT for the characterization of pulmonary nodules.
Pulmonary cavernous hemangioma: a case report.
BMC Pulm Med
January 2025
Department of Medical Imaging, Baoji Central Hospital, Baoji, China.
Background: Cavernous hemangiomas can occur in various internal organs like the liver, kidney, bladder, and skin, or even in subcutaneous tissues. However, they rarely occur in the lungs, making pulmonary cavernous hemangiomas (PCH) an uncommon finding. Herein, we report a rare case of pulmonary cavernous hemangioma that was surgically resected.
View Article and Find Full Text PDFPhantom evaluation of feasibility and applicability of artificial intelligence based pulmonary nodule detection in chest radiographs.
Medicine (Baltimore)
November 2024
Department of Radiology, Kantonsspital Baden, affiliated Hospital for Research and Teaching of the Faculty of Medicine of the University of Zurich, Baden, Switzerland.
The aim of our study was to evaluate the specific performance of an artificial intelligence (AI) algorithm for lung nodule detection in chest radiography for a larger number of nodules of different sizes and densities using a standardized phantom approach. A total of 450 nodules with varying density (d1 to d3) and size (3, 5, 8, 10 and 12 mm) were inserted in a Lungman phantom at various locations. Radiographic images with varying projections were acquired and processed using the AI algorithm for nodule detection.
View Article and Find Full Text PDFComparison of diagnostic performance for pulmonary nodule detection between free-breathing spiral ultrashort echo time and free-breathing radial volumetric interpolated breath-hold examination.
BMC Med Imaging
January 2025
School of Medical Technology, Shaanxi University of Chinese Medicine, Xian Yang, 712046, China.
Objective: This study aims to evaluate the efficacy of two free-breathing magnetic resonance imaging (MRI) sequences-spiral ultrashort echo time (spiral UTE) and radial volumetric interpolated breath-hold examination (radial VIBE).
Methods: Patients were prospectively enrolled between February 2021 and September 2022. All participants underwent both 3T MRI scanning, utilizing the radial VIBE sequence and spiral UTE sequence, as well as standard chest CT imaging.
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!