Literature DB >> 15185184

Diagnosis of pulmonary embolism with various imaging modalities.

Sunita D Srivastava1, Matthew J Eagleton, Lazar J Greenfield.   

Abstract

Pulmonary embolism (PE) is a major health concern that affects approximately 600,000 new patients annually. The diagnosis of PE can be difficult to make, and several imaging studies have been developed to aid in this process. Initial evaluation involves the acquisition of a chest radiograph. Findings on radiography, however, are often non-specific. The gold-standard study historically has been pulmonary angiography, with increasing diagnostic yield since the implementation of digital subtraction technology. This is an invasive procedure, however, but the incidence of major complications is low. Less invasive modalities have been developed and include ventilation-perfusion lung scans. These are used as one of the initial screening tests in evaluation of patients with suspected PE. The presence of a high-probability scan usually indicates the presence of a PE, although few patients have high probability scans. The test is significantly affected by underlying pulmonary disease or previous PE. Given this, ventilation-perfusion lung scans are limited as a primary diagnostic tool in the evaluation of suspected PE. Helical computed tomography (CT) is currently under much scrutiny as a diagnostic tool for PE. Currently a prospective, multicenter trial evaluating its efficacy (PIOPED II) has been initiated, but the results are pending. Preliminary reports suggest the helical CT and venous phase CT may become a first line study in patient evaluation. The diagnosis of PE is challenging and several imaging modalities are currently used to assist the clinician. Currently, multiple modalities are often required to make the diagnosis. With the advent of new technology and improved imaging techniques, the diagnosis of PE will become easier.

Entities:  

Mesh:

Year:  2004        PMID: 15185184     DOI: 10.1053/j.semvascsurg.2004.03.001

Source DB:  PubMed          Journal:  Semin Vasc Surg        ISSN: 0895-7967            Impact factor:   1.000


  5 in total

1.  95-year-old woman with sudden-onset dyspnea.

Authors:  Muaz M Abudiab; Olufunso W Odunukan; William K Freeman
Journal:  Mayo Clin Proc       Date:  2012-06       Impact factor: 7.616

2.  Imaging thromboembolism with fibrin-avid 99mTc-peptide: evaluation in swine.

Authors:  Mohan R Aruva; Judy Daviau; Shubh S Sharma; Mathew L Thakur
Journal:  J Nucl Med       Date:  2006-01       Impact factor: 10.057

Review 3.  Imaging of acute pulmonary embolism.

Authors:  Maria Komissarova; Suzanne Chong; Kirk Frey; Baskaran Sundaram
Journal:  Emerg Radiol       Date:  2012-11-14

4.  COVID-Classifier: an automated machine learning model to assist in the diagnosis of COVID-19 infection in chest X-ray images.

Authors:  Abolfazl Zargari Khuzani; Morteza Heidari; S Ali Shariati
Journal:  Sci Rep       Date:  2021-05-10       Impact factor: 4.379

5.  COVID-Classifier: An automated machine learning model to assist in the diagnosis of COVID-19 infection in chest x-ray images.

Authors:  Abolfazl Zargari Khuzani; Morteza Heidari; S Ali Shariati
Journal:  medRxiv       Date:  2020-05-18
  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.