Literature DB >> 26916752

Advanced imaging tools in pulmonary nodule detection and surveillance.

Chi Wan Koo1.   

Abstract

Lung cancer is a leading cause of death worldwide. The National Lung Screening Trial has demonstrated that lung cancer screening can reduce lung cancer specific and all cause mortality. With approval of national coverage for lung cancer screening, it is expected that an increase in exams related to pulmonary nodule detection and surveillance will ensue. Advanced imaging technologies for nodule detection and surveillance will be more important than ever. While computed tomography (CT) remains the modality of choice, other emerging modalities such as magnetic resonance imaging provides viable alternatives to CT.
Copyright © 2016 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Detection; Lung cancer; Nodule; Screening; Surveillance

Mesh:

Year:  2016        PMID: 26916752     DOI: 10.1016/j.clinimag.2016.01.015

Source DB:  PubMed          Journal:  Clin Imaging        ISSN: 0899-7071            Impact factor:   1.605


  1 in total

1.  MRI Image Segmentation Model with Support Vector Machine Algorithm in Diagnosis of Solitary Pulmonary Nodule.

Authors:  Bo Feng; Meihua Zhang; Hanlin Zhu; Lingang Wang; Yanli Zheng
Journal:  Contrast Media Mol Imaging       Date:  2021-07-20       Impact factor: 3.161

  1 in total

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