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Abstract #2177

Distinguishing Ki67 stratification expression in ER-positive/HER2-negative breast cancers: comparison of advanced MRI diffusion models

Zhongqi Kang1,2, Siyao Du2, and Lina Zhang1
1The Fourth Affiliated Hospital of China Medical University, Shenyang, China, 2The First Hospital of China Medical University, Shenyang, China

Synopsis

Keywords: DWI/DTI/DKI, Breast

Motivation: Advanced diffusion models can assess the Ki67 expression (≤ 5% and ≥ 30%), aiding in the clinical treatment decision for ER+/HER2- breast cancers.

Goal(s): This study investigated the first-order features extracted from conventional DWI, diffusion kurtosis imaging (DKI), fractional order calculus (FROC), and continuous-time random walk (CTRW) in discriminating Ki67 expression status.

Approach: Retrospective study analyzed nine diffusion parameters derived from DWI, DKI, FROC and CTRW in 121 patients divided into low, medium and high Ki67 groups; utilized AUC and logistic regression for status prediction.

Results: The FROC model could help identify the low Ki67expression (≤ 5%) and prevent unnecessary chemotherapy.

Impact: This research reveals the utilization of FROC model improved differentiation of the low Ki67 expression group (Ki67≤ 5%) in ER+/HER2- breast cancer, who frequently exhibit a favorable prognosis and do not require excessive adjuvant chemotherapy.

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