Ultra-low dose dual-layer detector spectral CT for pulmonary nodule screening: image quality and diagnostic performance
Abstract Objectives To investigate the image quality and diagnostic performance with ultra-low dose dual-layer detector spectral CT (DLSCT) by various reconstruction techniques for evaluation of pulmonary nodules. Materials and methods Between April 2023 and December 2023, patients with suspected pu...
Saved in:
Main Authors: | Li Ding, Mingwang Chen, Xiaomei Li, Yuting Wu, Jingxu Li, Shuting Deng, Yikai Xu, Zhao Chen, Chenggong Yan |
---|---|
Format: | Article |
Language: | English |
Published: |
SpringerOpen
2025-01-01
|
Series: | Insights into Imaging |
Subjects: | |
Online Access: | https://doi.org/10.1186/s13244-024-01888-1 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Development of a 3D-Printed Chest Phantom with Simulation of Lung Nodules for Studying Ultra-Low-Dose Computed Tomography Protocols
by: Jenna Silberstein, et al.
Published: (2024-12-01) -
Photon-counting-detector CT outperforms state-of-the-art cone-beam and energy-integrated-detector CT in delineation of dental root canals
by: Stephan Rau, et al.
Published: (2025-01-01) -
Comparison of Lung-RADS Version 2022 and British Thoracic Society Guidelines in Classifying Solid Pulmonary Nodules Detected at Lung Cancer Screening CT
by: Claudiu Avram, et al.
Published: (2024-12-01) -
MAEMC-NET: a hybrid self-supervised learning method for predicting the malignancy of solitary pulmonary nodules from CT images
by: Tianhu Zhao, et al.
Published: (2025-02-01) -
Radiomics for differentiating adenocarcinoma and squamous cell carcinoma in non-small cell lung cancer beyond nodule morphology in chest CT
by: Minmini Selvam, et al.
Published: (2024-12-01)