Meeting Banner
Abstract #1799

Application of six diffusion-weighted MRI models in predicting lymph node metastasis for resectable gastric cancer: A pilot study

Jing Li1, Shao-yu Wang2, and Xue-jun Chen1
1Radiology, the Affiliated Cancer Hospital of Zhengzhou University (Henan Cancer Hospital), Zhengzhou, China, 2MR Scientific Marketing, Siemens Healthneers, Shanghai, Shanghai, China

Synopsis

Keywords: Quantitative Imaging, TumorThis study firstly explored the potential of six diffusion-weighted MRI models for preoperative prediction of lymph node metastasis (LNM) in resectable gastric cancer (GC). The DKI_K, CTRW_D, DKI_D, FROC_D, IVIM_D*, IVIM_f, Mono_ADC, as well as morphologic indicators of tumor thickness, clinical T staging on MRI (cT), MRI reported LN status were significantly different between LNM positive and LNM negative groups. These parameters were statistically correlated with LNM. The cT, MRI reported LN, and CTRW_D were independent risk factors of LNM, combining these three parameters yielded the highest predictive efficacy.

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