Diffusion MRI Applications in Disease
Digital Poster
Diffusion
Monday, 11 May 2026
This session has all abstracts using dMRI with applications to disease
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364-03-001.
Magnetic Resonance Methods for Broadly Accessible and Accurate Liver Disease Diagnostics
Impact: A compact, point-of-care Magnetic Resonance method enables accurate, non-invasive quantification of liver biomarkers, broadening access to advanced diagnostics and complementing the rapid expansion of liver therapeutic development that requires reliable and deployable quantitative biomarkers.
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364-03-002.
Diffusion Tensor Cardiovascular Magnetic Resonance Predicts Cancer Therapy–Related Cardiac Dysfunction in Breast Cancer
Impact: Global E2A shows its
potential as a noninvasive imaging biomarker to guide personalized surveillance
and timely cardioprotective strategies in breast cancer patients.
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364-03-003.
Application of NODDI Combined with Conventional MRI in Children with Autism Spectrum Disorder
Impact: NODDI combined with conventional MRI detected subtle
neurological changes in children with ASD missed by standard scans alone. This
approach offers pediatricians objective brain-based markers for earlier autism
diagnosis, enabling interventions during critical developmental windows when
treatments are most effective.
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364-03-004.
Assessment of the Disease Activity in Patients with Graves’ Ophthalmopathy with TSE-DWI and EPI-DWI
Impact: TSE-DWI-derived ADC values enable
superior noninvasive assessment of inflammatory activity in Graves’
ophthalmopathy, improving diagnostic accuracy and potentially guiding treatment
decisions between active and inactive disease.
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364-03-005.
Assessment of Neonatal Acute Hypoxic-Ischemic Brain Damage Based on ADC and DWI-ALPS
Impact: DWI-ALPS, with short scan time and low risk, provides new evidence for diagnosing/treating neonatal acute hypoxic-ischemic brain damage.
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364-03-006.
Quantifying Longitudinal White Matter Alterations in Mild TBI with Advanced Diffusion Modeling
Impact: WM injury after mTBI is dynamic and can persist for a year; sustained microstructural changes likely reflect ongoing remodeling and compensatory adaptation accompanying clinical recovery.
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364-03-007.
Analysis and Evaluation of the Diagnostic Efficacy of MR T1ρ and ADC values in Liver Fibrosis
Impact:
Our research highlights the diagnostic advantage of non-invasive MRI by combining T1ρ and ADC values in assessing liver fibrosis, and emphasizing the limitations of using ADC alone. |
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364-03-008.
Slow diffusion coefficient (SDC) for parotid gland tumors
Impact: This study tested the principle of applying four b-values DWI images to generate three diffusion metrics, namely, SDC, ADC, and DDVD to evaluate PGT. A combination of these three diffusion metrics may offer clinically useful separation of MT from BT.
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364-03-009.
A Study on Predicting WHO/ISUP Nuclear Grade of Clear Cell Renal Cell Carcinoma Using IVIM-Based Habitat Radiomics
Impact: This study provides a novel approach for the non-invasive preoperative grading of ccRCC, which can help guide the development of personalized treatment plans and improve patient outcomes.
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364-03-010.
The Value of Multiparametric MRI Combined with Clinical Parameters in Predicting Disease-Free Survival of Endometrial Cancer
Impact: MRI-IVIM combined with clinical-pathological parameters can identify EC’s 3-year DFS, improves prediction accuracy, and supports clinical personalized, precise EC treatment.
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364-03-011.
Predicting Bone Metastasis in Prostate Cancer Using an Interpretable Habitat Radiomics Model Based on Biparametric MRI
Impact: This model enables noninvasive, preoperative prediction of bone
metastasis in prostate cancer, potentially guiding personalized
treatment plans. Its interpretability fosters clinical trust and may
reduce unnecessary invasive procedures, advancing precision oncology.
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364-03-012.
Dual-Region DTI Parameter Analysis Reveals Mechanism and Prognostic Value of Optic Nerve Injury by Intraorbital Tumors
Impact: Dual-region DTI of tumor and compressed optic nerve clarifies myelin- versus axonal-predominant injury and predicts postoperative visual recovery. Combined ADC, FA, and RD enable preoperative risk stratification, patient counseling, and tailored surgery/follow-up for orbital tumors.
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364-03-013.
Quantifying Intravoxel Diffusivity Probability Distribution via Probability-Constrained Regularized Non-Negative Least Square
Impact: The proposed IDPD model offers a
noninvasive approach to explore tissue microstructure by quantifying intravoxel
diffusivity distributions, overcoming the limitations of traditional diffusion
MRI. It holds potential for differentiating tissue types and aiding the
diagnosis of tumors and neurodegenerative diseases.
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