Universität zu Köln

El Kayal, Nada, Mohallel, Ahmed, Maintz, David, Eid, Mohamed and Emara, Doaa Mokhtar (2020). Improved detectability of hypoattenuating focal pancreatic lesions by dual-layer computed tomography using virtual monoenergetic images. Egypt. J. Radiol. Nucl. Med., 51 (1). NEW YORK: SPRINGER. ISSN 2090-4762

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Abstract

Background: Multidetector CT is the mainstay for radiologic evaluation of pancreatic pathology. Still, imaging of focal pancreatic lesions using MDCT is faced by a number of challenges that are related to the limited contrast between the lesion and surrounding parenchyma, such as detecting early-stage pancreatic cancer and subtle features of cystic lesions that point to malignancy. Dual-layer CT is the first dual-energy CT machine based on separation of high- and low-energy photons at the detector level. If improved contrast between the lesions and normal pancreatic parenchyma could be achieved on CT images, we may expect enhanced CT detection of pancreatic lesions. The purpose of this study was to evaluate whether virtual monoenergetic reconstructions generated using contrast-enhanced dual-layer CT could improve detectability of hypoattenuating focal pancreatic lesions compared to conventional polyenergetic reconstructions. Results: Fifty-four lesions were identified and verified by histopathology or follow-up CT, MRCP, and/or EUS along with clinical data. Across the virtual monoenergetic spectrum, 40 KeV images had the highest contrast-to-noise and signal-to-noise ratios (p < 0.001, p < 0.001) and were significantly higher than conventional images (p < 0.001). Subjective scores for lesion visibility at low kiloelectron volt monoenergetic (40 and 50 KeV) images greatly exceeded conventional images (p < 0.001). Conclusion: Low kiloelectron volt monoenergetic reconstructions of contrast-enhanced dual-layer CT significantly improve detectability of hypoattenuating focal pancreatic lesions compared to conventional polyenergetic reconstructions.

Item Type:	Journal Article
Creators:	Creators Email ORCID ORCID Put Code El Kayal, Nada UNSPECIFIED UNSPECIFIED UNSPECIFIED Mohallel, Ahmed UNSPECIFIED UNSPECIFIED UNSPECIFIED Maintz, David UNSPECIFIED UNSPECIFIED UNSPECIFIED Eid, Mohamed UNSPECIFIED UNSPECIFIED UNSPECIFIED Emara, Doaa Mokhtar UNSPECIFIED UNSPECIFIED UNSPECIFIED
URN:	urn:nbn:de:hbz:38-323949
DOI:	10.1186/s43055-020-00270-7
Journal or Publication Title:	Egypt. J. Radiol. Nucl. Med.
Volume:	51
Number:	1
Date:	2020
Publisher:	SPRINGER
Place of Publication:	NEW YORK
ISSN:	2090-4762
Language:	English
Faculty:	Unspecified
Divisions:	Unspecified
Subjects:	no entry
Uncontrolled Keywords:	Keywords Language ENERGY SPECTRAL CT; MULTIDETECTOR CT; MATERIAL DENSITY; ADENOCARCINOMA; DIAGNOSIS; QUALITY; KVP; RECONSTRUCTION; OPTIMIZATION; RADIOLOGY Multiple languages Radiology, Nuclear Medicine & Medical Imaging Multiple languages
URI:	http://kups.ub.uni-koeln.de/id/eprint/32394