Detection and size measurements of kidney stones on virtual non-contrast reconstructions derived from dual-layer computed tomography in an ex vivo phantom setup.
Contrast media
Kidney calculi
Radiation dosage
Tomography, spiral computed
Journal
European radiology
ISSN: 1432-1084
Titre abrégé: Eur Radiol
Pays: Germany
ID NLM: 9114774
Informations de publication
Date de publication:
Apr 2023
Apr 2023
Historique:
received:
11
06
2022
accepted:
21
10
2022
revised:
18
10
2022
pubmed:
25
11
2022
medline:
21
3
2023
entrez:
24
11
2022
Statut:
ppublish
Résumé
To systematically investigate the usability of virtual non-contrast reconstructions (VNC) derived from dual-layer CT (DLCT) for detection and size measurements of kidney stones with regards to different degrees of surrounding iodine-induced attenuation and radiation dose. Ninety-two kidney stones of varying size (3-14 mm) and composition were placed in a phantom filled with different contrast media/water mixtures exhibiting specific iodine-induced attenuation (0-1500 HU). DLCT-scans were acquired using CTDI All stones were visible on CI Detection and size measurements of kidney stones surrounded by contrast media on VNC are feasible. The detection rate of kidney stones decreases with increasing iodine-induced attenuation and with decreasing radiation dose as well as stone size, while remaining comparable to CI • The detection rate of kidney stones on VNC depends on the surrounding iodine-induced attenuation, the used radiation dose, and the stone size. • The detection rate of kidney stones on VNC decreases with greater iodine-induced attenuation and with lower radiation dose, particularly in small stones. • The visibility of kidney stones on VNC
Identifiants
pubmed: 36422646
doi: 10.1007/s00330-022-09261-w
pii: 10.1007/s00330-022-09261-w
pmc: PMC10017605
doi:
Substances chimiques
Contrast Media
0
Iodine
9679TC07X4
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
2995-3003Subventions
Organisme : Universität zu Köln
ID : 339/2018
Organisme : Universität zu Köln
ID : DFG, FI 773/15-1
Informations de copyright
© 2022. The Author(s).
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