Aim: To retrospectively evaluate the efficacy of biphasic magnetic resonance imaging (MRI) of the liver with ferucarbotran-enhancement for the characterization of hepatic metastases.
Materials And Methods: Thirty-six patients underwent MRI of the liver with separate acquisition of double-contrast enhancement consisting of gadolinium and ferucarbotran. A total of 106 focal hepatic lesions (51 metastases, 31 cysts, 23 haemangiomas, and one eosinophilic abscess) were included. Two sets of MRI were analysed: (1) ferucarbotran set: ferucarbotran-enhanced T1-weighted (T1W) dynamic imaging combined with ferucarbotran-enhanced T2*-weighted (T2*W) delayed imaging and (2) double set: gadolinium-enhanced T1W dynamic imaging combined with ferucarbotran-enhanced T2*W delayed imaging. The diagnostic accuracy of the two sets was evaluated using alternative free-response receiver operating characteristic curve analysis. Sensitivity and specificity were compared using the McNemar test. The enhancement pattern of focal hepatic lesions was analysed on gadolinium and ferucarbotran-enhanced T1W dynamic imaging.
Results: There was no significant difference in the accuracy of characterizing hepatic metastases between the two sets. Sensitivity and specificity were not significantly different between the sets (p>0.05). Peripheral rim enhancement was exhibited in 57% of metastatic lesions on ferucarbotran-enhanced T1W dynamic imaging. The majority (96%) of hepatic haemangiomas demonstrated typical peripheral nodular enhancement with progression on ferucarbotran-enhanced T1W dynamic imaging and were easily differentiated from metastases.
Conclusion: Biphasic MRI of the liver with ferucarbotran-enhancement alone provided comparable diagnostic efficacy to double-contrast MRI for the characterization of hepatic metastases.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1016/j.crad.2010.04.011 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Accelerated High-resolution T1- and T2-weighted Breast MRI with Deep Learning Super-resolution Reconstruction.
Acad Radiol
January 2025
Department of Diagnostic and Interventional Radiology, University Hospital Bonn, Venusberg-Campus 1, 53127 Bonn, Germany (N.M., C.L., A.S., A.I., T.D., L.B., D.K., C.C.P., A.L., J.A.L.).
Rationale And Objectives: To assess the performance of an industry-developed deep learning (DL) algorithm to reconstruct low-resolution Cartesian T1-weighted dynamic contrast-enhanced (T1w) and T2-weighted turbo-spin-echo (T2w) sequences and compare them to standard sequences.
Materials And Methods: Female patients with indications for breast MRI were included in this prospective study. The study protocol at 1.
Differentiating low- and high-proliferative soft tissue sarcomas using conventional imaging features and radiomics on MRI.
BMC Cancer
December 2024
Department of Diagnostic and Interventional Radiology, University Hospital Heidelberg, Heidelberg, Germany.
Background: Soft-tissue sarcomas are rare tumors of the soft tissue. Recent diagnostic studies mainly dealt with conventional image analysis and included only a few cases. This study investigated whether low- and high-proliferative soft tissue sarcomas can be differentiated using conventional imaging and radiomics features on MRI.
View Article and Find Full Text PDFRelationship between the volume of ventricles, brain parenchyma and neurocognition in children after hydrocephalus treatment.
Childs Nerv Syst
December 2024
Department of Radiology, Shenzhen Children's Hospital, Shenzhen, Guangdong, China.
Purpose: The treatment of hydrocephalus aims to facilitate optimal brain development and improve the overall condition of patients. To further evaluate the postoperative recovery process in individuals undergoing hydrocephalus treatment, we investigated the interplay between brain parenchymal and ventricular volumes, alongside neurocognitive parameters.
Methods: In this study, 52 children under the age of 10 undergoing hydrocephalus treatment were included.
Different Grey Matter Microstructural Patterns in Cognitively Healthy Versus Typical Ageing Healthy Versus Typical Brain Ageing.
NMR Biomed
January 2025
Center for Magnetic Resonance Research (CMRR), University of Minnesota, Minneapolis, Minnesota, USA.
Ageing is a complex phenomenon affecting a wide range of coexisting biological processes. The homogeneity of the studied population is an essential parameter for valid interpretations of outcomes. The presented study capitalises on the MRI data available in the Human Connectome Project-Aging (HCP-A) and, within individuals over 55 years of age who passed the HCP-A section criteria, compares a subgroup of 37 apparently neurocognitively healthy individuals selected based on stringent criteria with 37 age and sex-matched individuals still representative of typical ageing but who did not pass the stringent definition of neurocognitively healthy.
View Article and Find Full Text PDFQuantitative DCE Dynamics on Transformed MR Imaging Discriminates Clinically Significant Prostate Cancer.
Cancer Control
November 2024
Department of Machine Learning, Moffitt Cancer Center, Tampa, FL, USA.
Dynamic contrast enhancement (DCE) imaging is a valuable sequence of multiparametric magnetic resonance imaging (mpMRI). A DCE sequence enhances the vasculature and complements T2-weighted (T2W) and Diffusion-weighted imaging (DWI), allowing early detection of prostate cancer. However, DCE assessment has remained primarily qualitative.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!