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Abstract #1164

Intra-tumor heterogeneity based on synthetic MRI in predicting Ki-67 status of nasopharyngeal carcinoma

Huanhuan Ren1, Jiuquan Zhang1, Junhao Huang1, Yao Huang1, Daihong Liu1, Jing Zhang1, Yong Tan1, Hong Yu1, and Lisha Nie2
1Chongqing University Cancer Hospital, Chongqing, China, 2GE HealthCare MR Research, Beijing, China

Synopsis

Keywords: Cancer, Cancer

Motivation: The staging and prognosis of nasopharyngeal carcinoma (NPC) remain significant challenges, with potential correlations to the Ki-67 proliferation status.

Goal(s): To assess and analyze an ITH model based on pre-treatment synthetic MRI (SyMRI) for predicting Ki-67 status in patients with pathologically confirmed NPC.

Approach: Twenty-eight NPC patients who underwent pre-treatment SyMRI. SyMRI data were processed to generate T1, T2, and PD maps. The ITHscore, derived from quantitative parameter maps, was utilized to establish models for predicting Ki-67 status based on clinical data.

Results: The ITHscore, based on quantitative parameter maps, demonstrated promise as an imaging marker for predicting Ki-67 status in NPC.

Impact: The ITHscore derived from SyMRI holds potential as a non-invasive imaging marker for predicting Ki-67 status, which can have clinical implications in the management of NPC.

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Keywords