Asset Details
MbrlCatalogueTitleDetail
Do you wish to reserve the book?
CT-Guided Liver Biopsy: Evaluation of Spectral Data From Dual-Layer Detector CT for Improved Lesion Detection
by
Proksa, Roland
, Sauter, Andreas P
, Knipfer, Andreas
, Makowski, Markus R
, Braren, Rickmer F
, Reischl, Stefan
, Nadjiri, Jonathan
, Rummeny, Ernst J
, Kopp, Felix
, Noël, Peter B
, Fingerle, Alexander A
in
Biopsy
/ Computed tomography
/ Lesions
/ Liver
/ Parenchyma
2023
Hey, we have placed the reservation for you!
By the way, why not check out events that you can attend while you pick your title.
You are currently in the queue to collect this book. You will be notified once it is your turn to collect the book.
Oops! Something went wrong.
Looks like we were not able to place the reservation. Kindly try again later.
Are you sure you want to remove the book from the shelf?
CT-Guided Liver Biopsy: Evaluation of Spectral Data From Dual-Layer Detector CT for Improved Lesion Detection
by
Proksa, Roland
, Sauter, Andreas P
, Knipfer, Andreas
, Makowski, Markus R
, Braren, Rickmer F
, Reischl, Stefan
, Nadjiri, Jonathan
, Rummeny, Ernst J
, Kopp, Felix
, Noël, Peter B
, Fingerle, Alexander A
in
Biopsy
/ Computed tomography
/ Lesions
/ Liver
/ Parenchyma
2023
Oops! Something went wrong.
While trying to remove the title from your shelf something went wrong :( Kindly try again later!
Do you wish to request the book?
CT-Guided Liver Biopsy: Evaluation of Spectral Data From Dual-Layer Detector CT for Improved Lesion Detection
by
Proksa, Roland
, Sauter, Andreas P
, Knipfer, Andreas
, Makowski, Markus R
, Braren, Rickmer F
, Reischl, Stefan
, Nadjiri, Jonathan
, Rummeny, Ernst J
, Kopp, Felix
, Noël, Peter B
, Fingerle, Alexander A
in
Biopsy
/ Computed tomography
/ Lesions
/ Liver
/ Parenchyma
2023
Please be aware that the book you have requested cannot be checked out. If you would like to checkout this book, you can reserve another copy
We have requested the book for you!
Your request is successful and it will be processed during the Library working hours. Please check the status of your request in My Requests.
Oops! Something went wrong.
Looks like we were not able to place your request. Kindly try again later.
CT-Guided Liver Biopsy: Evaluation of Spectral Data From Dual-Layer Detector CT for Improved Lesion Detection
Journal Article
CT-Guided Liver Biopsy: Evaluation of Spectral Data From Dual-Layer Detector CT for Improved Lesion Detection
2023
Request Book From Autostore
and Choose the Collection Method
Overview
PurposeEvaluation of dual-layer spectral computed tomography (CT) for contrast enhancement during image-guided biopsy of liver lesions using virtual monoenergetic images (VMI) and virtual non-contrast (VNC) images.MethodsSpectral CT data of 20 patients receiving CT-guided needle biopsy of focal liver lesions were used to generate VMI at energy levels from 40 to 200 keV and VNC images. Images were analyzed objectively regarding contrast-to-noise ratio between lesion center (CNRcent) or periphery (CNRperi) and normal liver parenchyma. Lesion visibility and image quality were evaluated on a 4-point Likert scale by two radiologists.ResultsUsing VMI/VNC images, readers reported an increased visibility of the lesion compared to the conventional CT images in 18/20 cases. In 75% of cases, the highest visibility was derived by VMI-40. Showing all reconstructions simultaneously, VMI-40 offered the highest visibility in 75% of cases, followed by VNC in 12.5% of cases. Either CNRcent (17/20) or/and CNRperi (17/20) was higher (CNR increase > 50%) in 19/20 cases for VMI-40 or VNC images compared to conventional CT images. VMI-40 showed the highest CNRcent in 14 cases and the highest CNRperi in 12 cases. High image quality was present for all reconstructions with a minimum median of 3.5 for VMI-40 and VMI-50.ConclusionsWhen implemented in the CT scanner software, automated contrast enhancement of liver lesions during image-guided biopsy may facilitate the procedure.
Publisher
Springer Nature B.V
Subject
MBRLCatalogueRelatedBooks
This website uses cookies to ensure you get the best experience on our website.