Can CT imaging of the chest, abdomen, and pelvis identify all vertebral injuries of the thoracolumbar spine without dedicated reformatting?

Jonathan B. Imran; Tarik D. Madni; Jeffrey H. Pruitt; Canon Cornelius; Madhu Subramanian; Audra T. Clark; Ali A. Mokdad; Paul Rizk; Joseph P. Minei; Michael W. Cripps; Alexander L. Eastman

doi:10.1016/j.amjsurg.2017.12.001

Can CT imaging of the chest, abdomen, and pelvis identify all vertebral injuries of the thoracolumbar spine without dedicated reformatting?

Jonathan B. Imran, Tarik D. Madni, Jeffrey H. Pruitt, Canon Cornelius, Madhu Subramanian, Audra T. Clark, Ali A. Mokdad, Paul Rizk, Joseph P. Minei, Michael W. Cripps, Alexander L. Eastman

Research output: Contribution to journal › Article › peer-review

Abstract

Background: The main objective of this study was to compare detection rates of clinically significant thoracolumbar spine (TLS) fracture between computed tomography (CT) imaging of the chest, abdomen, and spine (CT CAP) and CT for the thoracolumbar spine (CT TL). Methods: We retrospectively identified patients at our institution with a TLS fracture over a two-year period that had both CT CAP and reformatted CT TL imaging. The sensitivity of CT CAP to identify fracture was calculated for each fracture type. Results: A total of 516 TLS fractures were identified in 125 patients using reformatted CT TL spine imaging. Overall, 69 of 512 fractures (13%) were missed on CT CAP that were identified on CT TL. Of those, there were no clinically significant missed fractures. Conclusions: CT CAP could potentially be used as a screening tool for clinically significant TLS injuries.

Original language	English (US)
Pages (from-to)	52-55
Number of pages	4
Journal	American journal of surgery
Volume	216
Issue number	1
DOIs	https://doi.org/10.1016/j.amjsurg.2017.12.001
State	Published - Jul 2018
Externally published	Yes

Keywords

CT
Reformat
Spine
Thoracolumbar
Trauma

ASJC Scopus subject areas

Surgery

Access to Document

10.1016/j.amjsurg.2017.12.001

Cite this

Imran, J. B., Madni, T. D., Pruitt, J. H., Cornelius, C., Subramanian, M., Clark, A. T., Mokdad, A. A., Rizk, P., Minei, J. P., Cripps, M. W., & Eastman, A. L. (2018). Can CT imaging of the chest, abdomen, and pelvis identify all vertebral injuries of the thoracolumbar spine without dedicated reformatting? American journal of surgery, 216(1), 52-55. https://doi.org/10.1016/j.amjsurg.2017.12.001

Imran, JB, Madni, TD, Pruitt, JH, Cornelius, C, Subramanian, M, Clark, AT, Mokdad, AA, Rizk, P, Minei, JP, Cripps, MW & Eastman, AL 2018, 'Can CT imaging of the chest, abdomen, and pelvis identify all vertebral injuries of the thoracolumbar spine without dedicated reformatting?', American journal of surgery, vol. 216, no. 1, pp. 52-55. https://doi.org/10.1016/j.amjsurg.2017.12.001

@article{f8b12eb737b241c28bc858c933ad2dc5,

title = "Can CT imaging of the chest, abdomen, and pelvis identify all vertebral injuries of the thoracolumbar spine without dedicated reformatting?",

abstract = "Background: The main objective of this study was to compare detection rates of clinically significant thoracolumbar spine (TLS) fracture between computed tomography (CT) imaging of the chest, abdomen, and spine (CT CAP) and CT for the thoracolumbar spine (CT TL). Methods: We retrospectively identified patients at our institution with a TLS fracture over a two-year period that had both CT CAP and reformatted CT TL imaging. The sensitivity of CT CAP to identify fracture was calculated for each fracture type. Results: A total of 516 TLS fractures were identified in 125 patients using reformatted CT TL spine imaging. Overall, 69 of 512 fractures (13%) were missed on CT CAP that were identified on CT TL. Of those, there were no clinically significant missed fractures. Conclusions: CT CAP could potentially be used as a screening tool for clinically significant TLS injuries.",

keywords = "CT, Reformat, Spine, Thoracolumbar, Trauma",

author = "Imran, {Jonathan B.} and Madni, {Tarik D.} and Pruitt, {Jeffrey H.} and Canon Cornelius and Madhu Subramanian and Clark, {Audra T.} and Mokdad, {Ali A.} and Paul Rizk and Minei, {Joseph P.} and Cripps, {Michael W.} and Eastman, {Alexander L.}",

note = "Publisher Copyright: {\textcopyright} 2017 Elsevier Inc.",

year = "2018",

month = jul,

doi = "10.1016/j.amjsurg.2017.12.001",

language = "English (US)",

volume = "216",

pages = "52--55",

journal = "American journal of surgery",

issn = "0002-9610",