Pre/early intra-treatment
prediction of patients with cervical cancer would enable treatment regimens to
be changed at an early time point. We focused on diffusion-weighted imaging (DWI)
and dynamic contrast-enhanced (DCE) MRI for quantifying of the tumor
microenvironment in prediction of treatment response. Perfusion fraction
multiplied by pseudo-diffusion coefficient, plasma flow, transfer constant
between plasma and extracellular extravascular space were the parameters
statistically significant associated with treatment outcome based on 95% CI in
multivariate logistic regression model. Multi-parametric MRI techniques have
the potential to assess tumor grade differentiation, and they showed additional
value in detecting and therefore, predicting treatment response.
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