Meeting Banner
Abstract #2148

Time-Dependent Diffusion MRI with Whole-Tumor Histogram Analysis for Assessing Cervical Cancer: A Feasibility Study

Zhang TianHui1, Yang Yingsi1, Du Xiumei1, Lin Hai2, Yu Ziming2, Yang Jing2, and Fan Wexiong1
1Mei Zhou People's Hospital(Huang Tang), Guang Dong Province, China, 2United Imaging Research, United Imaging Healthcare, Shanghai, Shanghai Province, China

Synopsis

Keywords: Cancer, MR Value, Time-dependent diffusion MRI, Histogram,Oscillating gradient spin-echo, Cervical Cancer

Motivation: Time dependent diffusion MRI coud be utilized to quantify cell size, cellulartity, and extracellular space, but its ability to distinguish histopathological parameters of cervical cancer remains unknown.

Goal(s): This study aims to evaluate the potential of time-dependent diffusion MRI with whole-tumor histogram analysis to non-invasively predict aggressive characteristics of cervical cancer

Approach: Using the IMPULSED model, we extracted diffusion parameters from time-dependent diffusion MRI. Subsequently, histogram features were extracted from these parameters and assessed their diagnostic accuracy.

Results: Our findings indicate that time-dependent diffusion MRI with whole-tumor histogram analysis can predict histologic differentiation degree, LVSI, LNM, and FIGO stage in CC.

Impact: This study highlights time-dependent diffusion MRI with whole-tumor histogram analysis as a valuable tool for non-invasively assessing cervical cancer aggressiveness, potentially improving treatment planning and patient outcomes.

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.

Click here for more information on becoming a member.

Keywords