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Purpose: To explore the role of liver- and spleen-based Intravoxel Incoherent Motion Diffusion-weighted Imaging (IVIM) imaging in ruling out high-risk esophageal varices (HREVs) in patients with cirrhosis and compare it with other noninvasive tests (NITs).
Methods: Patients with liver cirrhosis who underwent paired Esophagogastroduod-enoscopy (EGD) and upper abdominal IVIM imaging between January 2015 and December 2021 were retrospectively enrolled. Logistic regression analyses were performed to determine the potential predictors of HREVs. The diagnostic performance was estimated with the area under the receiver operating characteristic curve (AUROC). We used the 95% sensitivity to determine the cutoff for ruling out HREVs and compared the spared EGD rate of IVIM imaging with that of NITs. A sensitivity analysis was carried out to assess the impact of the prevalence of HREVs on the negative predictive value (NPV) at given cutoff values.
Results: A total of 244 patients were included, and HREVs were found in 54.1% (132/244) of the patients. The parameters f_S, D*_S and D*_L independently predicted HREVs. Compared with NITs, f_S (AUROC: 0.90) performed significantly better (all p < 0.05), and D*_S (AUROC: 0.74) and D*_L (AUROC: 0.73) performed similarly. f_S (cutoff ≤ 16.1%) had the highest spared EGD rate (27.0%), with a missed HREVs rate of less than 5%, and showed excellent interobserver repeatability. The NPV of f_S remained above 90% as the prevalence of HREVs increased from 5 to 50%.
Conclusion: Splenic microcirculatory perfusion parameters (f_S and D*_S) are potential noninvasive markers for ruling out HREVs and avoiding unnecessary EGDs.
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http://dx.doi.org/10.1007/s00261-025-05020-9 | DOI Listing |
Radiol Imaging Cancer
September 2025
Department of Radiology, Breast Imaging Service, Memorial Sloan Kettering Cancer Center, New York, NY.
Purpose To evaluate intravoxel incoherent motion (IVIM) biomarkers across different MRI vendors and software programs for breast cancer characterization in a two-site study. Materials and Methods This institutional review board-approved, Health Insurance Portability and Accountability Act-compliant retrospective study included 106 patients (with 18 benign and 88 malignant lesions) who underwent bilateral diffusion-weighted imaging (DWI) between February 2009 and March 2013. DWI was performed using 1.
View Article and Find Full Text PDFMagn Reson Med
September 2025
Department of Mechanical Science and Bioengineering, The University of Osaka Graduate School of Engineering Science, Osaka, Japan.
Purpose: Diffusion-weighted imaging (DWI) and intravoxel incoherent motion (IVIM) imaging are well-established approaches for evaluating cerebrospinal fluid (CSF) flow in subarachnoid and perivascular spaces, and have recently been applied to study ventricular CSF flow. However, DWI does not directly measure flow velocity, and the physical implications of DWI measurements are unclear. This study aimed to provide a theoretical interpretation of the DWI and IVIM imaging of CSF flow velocity fields.
View Article and Find Full Text PDFNMR Biomed
October 2025
UCL Hawkes Institute, Department of Computer Science, University College London, London, UK.
Quantitative MR imaging with self-supervised deep learning promises fast and robust parameter estimation without the need for training labels. However, previous studies have reported significant bias in self-supervised parameter estimates as the signal-to-noise ratio (SNR) decreases. A possible source of this bias may be the choice of the mean squared error (MSE) loss function for network training, which is incompatible with MR magnitude signals.
View Article and Find Full Text PDFQuant Imaging Med Surg
September 2025
Department of Radiology, The Second Affiliated Hospital of Soochow University, Suzhou, China.
Background: Acute limb ischemia (ALI) necessitates prompt intervention to prevent severe complications such as amputation. Current clinical assessments lack reliable quantitative methods for gauging skeletal muscle ischemia severity. Intravoxel incoherent motion (IVIM) perfusion imaging is a noninvasive approach for quantifying microvascular perfusion.
View Article and Find Full Text PDFDiagnostics (Basel)
August 2025
Australian Institute for Bioengineering and Nanotechnology, Centre for Advanced Imaging, The University of Queensland, Brisbane, QLD 4072, Australia.
: Quantitative intravoxel incoherent motion (IVIM) imaging, incorporating both diffusion- and perfusion-derived metrics, offers a promising non-invasive approach for assessing tissue microstructure and clinical disability in multiple sclerosis (MS). This study aimed to investigate the correlation and predictive values of the IVIM apparent diffusion coefficient (ADC), true diffusion coefficient (), and perfusion-derived pseudo-diffusion coefficient (*) and perfusion fraction () parameters with disability status, measured using the Expanded Disability Status Scale (EDSS), in relapsing-remitting MS patients. : This cross-sectional study retrospectively analyzed MRI data from 197 MS patients.
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