Category Ranking
98%
Total Visits
921
Avg Visit Duration
2 minutes
Citations
20
Article Abstract
T1 relaxation time quantification on parametric maps is routinely used in cardiac imaging and may serve as a non-invasive biomarker for diffuse liver disease. In this study, we aimed to investigate the relationship between liver T1 values and cardiac function in patients with congenital heart disease (CHD) and compared patients with a biventricular circulation (BVC) to those with a Fontan circulation (FC). Magnetic resonance images from patients with CHD, obtained between June and December 2023 on a 1.5 T machine, were retrospectively reviewed. The examinations included cardiac cine sequences to assess ventricular mass and volumes, along with liver T1 mapping. T1 values were measured in eight liver segments and were compared with ventricular mass and volumes in patients with BVC and FC. In total, 104 patients (75 with BVC and 29 with FC) were included. T1 values varied significantly among the eight liver segments in both patient groups. In an age-matched comparison, patients with FC had significantly higher T1 values in all liver segments. In patients with BVC and right ventricular (RV) enlargement, a positive correlation between RV volume and T1 values in the right liver lobe was found (R > 0.504, p < 0.033). In patients with FC, the T1 values did not differ between patients with an extracardiac conduit or a lateral tunnel. Liver T1 mapping suggests more severe liver affection in patients with FC compared to those with BVC. It seems a valuable addition to cardiovascular magnetic resonance for patients who are at risk of systemic venous congestion.
Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11811443 | PMC |
| http://dx.doi.org/10.1007/s10554-024-03314-5 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
CrossNeXt: ConvNeXt-based cross-teaching with entropy minimization for semi-supervised liver segmentation from abdominal MRI.
Comput Med Imaging Graph
August 2025
Academy for Engineering and Technology, Fudan University, Shanghai, 200433, People's Republic of China; Department of Radiology, Huashan Hospital, Fudan University, Shanghai, 200040, People's Republic of China; Shanghai Engineering Research Center of Intelligent Imaging for Critical Brain Diseases,
Recent advancements in artificial intelligence have significantly enhanced the efficiency of abdominal MRI segmentation, thereby improving the screening and diagnosis of liver diseases. However, accurate precise liver segmentation in MRI remains a challenging task due to the high variability in liver morphology and the limited availability of high-quality annotated datasets. To address these challenges, this study presents an advanced semi-supervised learning framework that integrates cross-teaching with pseudo-label generation and intra-batch entropy minimization.
View Article and Find Full Text PDFA weakly-supervised deep learning model for fast localisation and delineation of the skeleton, internal organs, and spinal canal on whole-body diffusion-weighted MRI (WB-DWI).
Comput Methods Programs Biomed
August 2025
The Institute of Cancer Research, London, UK. Electronic address:
Background And Objective: Apparent Diffusion Coefficient (ADC) values and Total Diffusion Volume (TDV) from Whole-body diffusion-weighted MRI (WB-DWI) are recognised cancer imaging biomarkers. However, manual disease delineation for ADC and TDV measurements is unfeasible in clinical practice, demanding automation. As a first step, we propose an algorithm to generate fast and reproducible probability maps of the skeleton, adjacent internal organs (liver, spleen, urinary bladder, and kidneys), and spinal canal.
View Article and Find Full Text PDFAn Explainable Deep Learning Model for Focal Liver Lesion Diagnosis Using Multiparametric MRI.
Radiol Artif Intell
September 2025
Department of Radiology, Shanghai Jiao Tong University Medical School Affiliated Ruijin Hospital, No. 197 Ruijin Er Road, Shanghai 200025, China.
Purpose To assess the effectiveness of an explainable deep learning (DL) model, developed using multiparametric MRI (mpMRI) features, in improving diagnostic accuracy and efficiency of radiologists for classification of focal liver lesions (FLLs). Materials and Methods FLLs ≥ 1 cm in diameter at mpMRI were included in the study. nn-Unet and Liver Imaging Feature Transformer (LIFT) models were developed using retrospective data from one hospital (January 2018-August 2023).
View Article and Find Full Text PDFExploring the Utility of FDG PET-CT in Metastatic Recurrent Extra Skeletal Renal Osteosarcoma.
Indian J Nucl Med
August 2025
Department of Medical Oncology, All India Institute of Medical Sciences, New Delhi, India.
Metastatic renal osteosarcoma is a rare entity. We report a case of a 52-year-old male postright nephrectomy status presented to us with metastatic renal osteosarcoma. 18-fluorine- fluorodeoxyglucose (F-FDG) avid lesions were seen in the right renal bed with extension to adjacent hepatic parenchyma.
View Article and Find Full Text PDFLaparoscopic Microwave Ablation vs Resection for Small Solitary Colorectal Liver Metastases: Multicenter Analysis of Long-Term Results.
J Am Coll Surg
September 2025
Departments of Endocrine and General Surgery, Cleveland Clinic, Cleveland, OH.
Background: Although traditionally reserved for unresectable lesions, recent studies have provided evidence that in selected patients, microwave ablation (MWA) may provide similar oncologic outcomes compared to liver resection (LR). This study aimed to compare oncologic outcomes of patients with solitary small (<3 cm) colorectal liver metastasis (CRLM) undergoing LR vs laparoscopic MWA.
Study Design: This retrospective study included patients with a solitary CRLM <3cm treated with LR or MWA in three centers over 25-years.