Universität zu Köln

Laukamp, Kai Roman, Kessner, Rivka, Halliburton, Sandra, Zopfs, David, Gupta, Amit ORCID: 0000-0001-5345-6763 and Hokamp, Nils Grosse (2021). Virtual Noncontrast Images From Portal Venous Phase Spectral-Detector CT Acquisitions for Adrenal Lesion Characterization. J. Comput. Assist. Tomogr., 45 (1). S. 24 - 29. PHILADELPHIA: LIPPINCOTT WILLIAMS & WILKINS. ISSN 1532-3145

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Abstract

Objective The aim of this study was to investigate if Hounsfield unit (HU) values from virtual noncontrast (VNC) images derived from portal venous phase spectral-detector computed tomography can help to differentiate adrenal adenomas and metastases. Methods Spectral-detector computed tomography datasets of 33 patients with presence of adrenal lesions and standard of reference for lesion origin by follow-up/prior examinations or dedicated magnetic resonance imaging were included. Conventional and VNC images were reconstructed from the same scan. Region of interest-based image analysis was performed in adrenal lesions and contralateral healthy adrenal tissue. Results The 33 lesions consisted of 23 adenomas and 10 metastases. Hounsfield unit values of all lesions in VNC images were significantly lower compared with conventional images (18.2 +/- 12.6 HU vs 59.6 +/- 21.7 HU, P < 0.001). Hounsfield unit values in adenomas were significantly lower in VNC images (11.3 +/- 6.5 HU vs 34.1 +/- 9.1 HU, P < 0.001). Conclusions Virtual noncontrast HU values differed significantly between adrenal adenomas and metastases and can therefore be used for improved characterization of incidental adrenal lesions and definition of adrenal adenomas.

Item Type:	Journal Article
Creators:	Creators Email ORCID ORCID Put Code Laukamp, Kai Roman UNSPECIFIED UNSPECIFIED UNSPECIFIED Kessner, Rivka UNSPECIFIED UNSPECIFIED UNSPECIFIED Halliburton, Sandra UNSPECIFIED UNSPECIFIED UNSPECIFIED Zopfs, David UNSPECIFIED UNSPECIFIED UNSPECIFIED Gupta, Amit UNSPECIFIED orcid.org/0000-0001-5345-6763 UNSPECIFIED Hokamp, Nils Grosse UNSPECIFIED UNSPECIFIED UNSPECIFIED
URN:	urn:nbn:de:hbz:38-595236
DOI:	10.1097/RCT.0000000000000982
Journal or Publication Title:	J. Comput. Assist. Tomogr.
Volume:	45
Number:	1
Page Range:	S. 24 - 29
Date:	2021
Publisher:	LIPPINCOTT WILLIAMS & WILKINS
Place of Publication:	PHILADELPHIA
ISSN:	1532-3145
Language:	English
Faculty:	Unspecified
Divisions:	Unspecified
Subjects:	no entry
Uncontrolled Keywords:	Keywords Language Radiology, Nuclear Medicine & Medical Imaging Multiple languages
URI:	http://kups.ub.uni-koeln.de/id/eprint/59523