CAN MRI-DERIVED BIOMARKERS PREDICT TRIPLE-NEGATIVE BREAST CANCER?
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Abstract
Objective: To compare breast MRI features of triple-negative breast cancer (TNBC) and non–triple-negative breast cancer (non-TNBC), and to identify MRI predictors of TNBC on a 3.0T system. Methods: A retrospective study of 181 patients with invasive breast cancer who underwent preoperative 3.0T breast MRI (01/2018 – 05/2025), grouped into TNBC (n = 21) and non-TNBC (n = 160). MRI characteristics were described according to ACR BI-RADS 2013. Logistic regression analysis was performed to identify predictors of TNBC. Results: TNBC more commonly presented as a unifocal mass, frequently with a round/oval shape, relatively smooth margins, high signal intensity on T2-weighted images, and rim enhancement. In multivariable logistic regression, rim enhancement was independently associated with TNBC (OR = 5.12), whereas irregular/spiculated margins were less common in TNBC (OR = 0.16). Conclusion: Rim enhancement is an independent predictor of TNBC, while irregular/spiculated margins are less frequently observed. These MRI features may help suggest TNBC prior to treatment.
Keywords
Breast MRI; breast cancer; triple-negative.
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References
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