Melzig, Claudius
Do, Thuy Duong
Egenlauf, Benjamin
Partovi, Sasan
Grünig, Ekkehard
Kauczor, Hans-Ulrich
Heussel, Claus Peter
Rengier, Fabian http://orcid.org/0000-0001-9424-4652
Funding for this research was provided by:
Deutsche Zentrum für Lungenforschung (82DZL00401, 82DZL00402, 82DZL00404)
Article History
Received: 7 September 2021
Revised: 7 January 2022
Accepted: 13 February 2022
First Online: 10 March 2022
Declarations
:
: The scientific guarantor of this publication is Fabian Rengier.
: The authors of this manuscript declare no relationships with any companies whose products or services may be related to the subject matter of the article.
: One of the authors has significant statistical expertise.
: Written informed consent was waived by the institutional review board.
: Institutional review board approval was obtained.
: The present study forms part of an ongoing institutional investigation on imaging in patients with known or suspected PH based on an institutional database. Seventy patients (out of the 91 patients included in the present study) were included in a prior study analysing the pulmonary arteries, but not the cardiac chambers. None of the measurements reported in the present study formed part of this prior study. Reference of this prior study: Melzig, C., Wörz, S., Egenlauf, B. et al Combined automated 3D volumetry by pulmonary CT angiography and echocardiography for detection of pulmonary hypertension. <i>Eur Radiol</i> 29, 6059–6068 (2019). ExternalRef removed. The study cohort also partially overlaps with a further study based on the same institutional database, including cardiac chamber measurements of the present study, analysing a different outcome. Reference of an interim analysis of the latter study: Fink, M.A., Melzig, C., Egenlauf, B. et al Machine learning-based cardiac chamber segmentation in CTPA for the noninvasive detection of pulmonary hypertension. ECR 2020 Book of Abstracts, p. 575, Insights Imaging 11(Suppl 1), 34 (2020). ExternalRef removed.
: • retrospective• diagnostic or prognostic study• performed at one institution