Journal article
Put Your Back into It: Pathologic Conditions of the Spine at Chest CT
Radiographics, v 31(5), pp 1425-1441
01 Sep 2011
PMID: 21918053
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
It is common to encounter pathologic processes of the lower cervical, thoracic, or upper lumbar spine in the course of routine computed tomography (CT) of the chest. Although magnetic resonance (MR) is the imaging modality of choice for evaluating known spinal disease, evaluation of the spine is an integral part of interpreting a chest CT study. Spinal diseases often have a characteristic CT appearance that allows the radiologist to make the diagnosis or provide a structured differential diagnosis. Pathologic conditions of the spine that can be identified at chest CT are categorized into benign or incidental findings, congenital anomalies, traumatic injuries, infectious spondylitis, primary or secondary neoplastic involvement, and associations with systemic disease. CT also provides information about bone mineralization and lesion calcification that complements the superior soft-tissue imaging capability of MR. In addition, chest CT data may be reformatted to create volumetric or multiplanar images of the spine to facilitate management decisions about spinal stabilization in symptomatic patients.
Metrics
1 Record Views
Details
- Title
- Put Your Back into It: Pathologic Conditions of the Spine at Chest CT
- Creators
- Cristopher A. Meyer - University of Wisconsin–MadisonAchala S. Vagal - University of CincinnatiDanielle Seaman - Duke Medical Center
- Publication Details
- Radiographics, v 31(5), pp 1425-1441
- Publisher
- Radiological Soc North America
- Number of pages
- 17
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Radiology (Radiologic Sciences)
- Web of Science ID
- WOS:000295121700020
- Scopus ID
- 2-s2.0-80052893547
- Other Identifier
- 991022138674304721
UN Sustainable Development Goals (SDGs)
This publication has contributed to the advancement of the following goals:
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Collaboration types
- Domestic collaboration
- Web of Science research areas
- Radiology, Nuclear Medicine & Medical Imaging