Keywords: Diffusion Modeling, Diffusion Modeling
Motivation: Accurate histological grading is crucial for assessing tumor behavior and prognosis in invasive breast carcinoma. Traditional grading is susceptible to sample variability.
Goal(s): This study aims to evaluate the diagnostic value of td-dMRI parameters for pathological grading of breast cancer.
Approach: 55 breast cancer patients underwent td-dMRI, and data were analyzed using an IMPULSED scheme to derive microstructural parameters. Statistical tests and ROC curves were used to evaluate microstructural parameters for diagnostic accuracy.
Results: Dex demonstrated the best predictive efficacy (AUC 0.774), improving to 0.812 when combined with other parameters, highlighting td-dMRI technique’s potential for non-invasive tumor grading.
Impact: This study highlights time-dependent diffusion MRI's potential for accurate, non-invasive breast cancer grading, enhancing clinical decision-making and treatment planning, and paving the way for further research into microstructural changes and applications in other cancer types.
How to access this content:
For one year after publication, abstracts and videos are only open to registrants of this annual meeting. Registrants should use their existing login information. Non-registrant access can be purchased via the ISMRM E-Library.
After one year, current ISMRM & ISMRT members get free access to both the abstracts and videos. Non-members and non-registrants must purchase access via the ISMRM E-Library.
After two years, the meeting proceedings (abstracts) are opened to the public and require no login information. Videos remain behind password for access by members, registrants and E-Library customers.
Keywords