Implementing a standardized and symptom-oriented flowchart "Kielsflow" for advanced cardiac imaging in a 24/7 interdisciplinary emergency department using spectral CT

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Implementing a standardized and symptom-oriented flowchart "Kielsflow" for advanced cardiac imaging in a 24/7 interdisciplinary emergency department using spectral CT. / Langguth, Patrick; Austein, Friederike; Campbell, Graeme M; Eden, Matthias; Schunk, Domagoj; Jansen, Olav; Both, Marcus; Salehi Ravesh, Mona.

In: CLIN IMAG, Vol. 78, 10.2021, p. 256-261.

Research output: SCORING: Contribution to journalSCORING: Journal articleResearchpeer-review

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@article{3897dac4bbbf458a89234b3ecdfcc4f4,
title = "Implementing a standardized and symptom-oriented flowchart {"}Kielsflow{"} for advanced cardiac imaging in a 24/7 interdisciplinary emergency department using spectral CT",
abstract = "This work focuses on implementing a standardized and symptom-oriented flowchart for advanced cardiac imaging in a 24/7 emergency setting using a dual-layer spectral detector CT system. This flowchart was designed to optimize patient management and standardize imaging workflow. It includes acquisition parameters and contrast agent protocols for the most relevant clinical questions regarding cardiac CT imaging in the interdisciplinary emergency department. The automated reconstruction of symptom-oriented spectral images represents an additional strength here. This implementation is designed to be time-efficient and user-friendly and improves diagnostic quality, independent of the qualification level of clinical and technical personnel.",
author = "Patrick Langguth and Friederike Austein and Campbell, {Graeme M} and Matthias Eden and Domagoj Schunk and Olav Jansen and Marcus Both and {Salehi Ravesh}, Mona",
note = "Copyright {\textcopyright} 2021 Elsevier Inc. All rights reserved.",
year = "2021",
month = oct,
doi = "10.1016/j.clinimag.2021.05.021",
language = "English",
volume = "78",
pages = "256--261",
journal = "CLIN IMAG",
issn = "0899-7071",
publisher = "Elsevier Inc.",

}

RIS

TY - JOUR

T1 - Implementing a standardized and symptom-oriented flowchart "Kielsflow" for advanced cardiac imaging in a 24/7 interdisciplinary emergency department using spectral CT

AU - Langguth, Patrick

AU - Austein, Friederike

AU - Campbell, Graeme M

AU - Eden, Matthias

AU - Schunk, Domagoj

AU - Jansen, Olav

AU - Both, Marcus

AU - Salehi Ravesh, Mona

N1 - Copyright © 2021 Elsevier Inc. All rights reserved.

PY - 2021/10

Y1 - 2021/10

N2 - This work focuses on implementing a standardized and symptom-oriented flowchart for advanced cardiac imaging in a 24/7 emergency setting using a dual-layer spectral detector CT system. This flowchart was designed to optimize patient management and standardize imaging workflow. It includes acquisition parameters and contrast agent protocols for the most relevant clinical questions regarding cardiac CT imaging in the interdisciplinary emergency department. The automated reconstruction of symptom-oriented spectral images represents an additional strength here. This implementation is designed to be time-efficient and user-friendly and improves diagnostic quality, independent of the qualification level of clinical and technical personnel.

AB - This work focuses on implementing a standardized and symptom-oriented flowchart for advanced cardiac imaging in a 24/7 emergency setting using a dual-layer spectral detector CT system. This flowchart was designed to optimize patient management and standardize imaging workflow. It includes acquisition parameters and contrast agent protocols for the most relevant clinical questions regarding cardiac CT imaging in the interdisciplinary emergency department. The automated reconstruction of symptom-oriented spectral images represents an additional strength here. This implementation is designed to be time-efficient and user-friendly and improves diagnostic quality, independent of the qualification level of clinical and technical personnel.

U2 - 10.1016/j.clinimag.2021.05.021

DO - 10.1016/j.clinimag.2021.05.021

M3 - SCORING: Journal article

C2 - 34171598

VL - 78

SP - 256

EP - 261

JO - CLIN IMAG

JF - CLIN IMAG

SN - 0899-7071

ER -