Pre-operative MRI in evaluating pathologic complete response to neoadjuvant chemotherapy in patients with breast cancer: a study focused on influencing factors of baseline clinical-pathological and imaging features

Author:

Hu Qilan,Hu Yiqi,Ai Huiyang,Xia Liming,Liu Rong,Ai Tao

Abstract

PurposeTo investigate what pre-treatment clinical-pathological features and MRI characteristics influence the performance of breast MRI in assessing the pathologic complete response (pCR) of breast cancer patients to Neoadjuvant Chemotherapy (NAC).MethodsA total of 225 patients with pathologically-confirmed breast cancer who underwent pre- and post-NAC breast MRI between January 2020 and April 2023 were retrospectively analyzed. All patients were categorized into radiologic complete response (rCR) and non-rCR groups based on pre-operative MRI. Univariable and multivariable logistic regression were used to identify independent clinicopathological and imaging features associated with imaging-pathological discordance. The performance of pre-operative MRI for predicting pCR to NAC was assessed according to the baseline characteristics of the clinicopathological data and pre-NAC MRI. In addition, the discrepancy between the pre-operative MRI and post-operative pathological findings was further analyzed by a case-control approach.ResultsAmong 225 patients, 99 (44.0%) achieved pCR after NAC. MRI showed the overall sensitivity of 97.6%, specificity of 58.6%, accuracy of 80.4%, a positive predictive value (PPV) of 75.0%, and a negative predictive value (NPV) of 95.1% in identifying pCR. Of baseline features, presence of ductal carcinoma in situ (DCIS) (OR, 3.975 [95% CI: 1.448–10.908], p = 0.007), luminal B (OR, 5.076 [95% CI: 1.401–18.391], p = 0.013), HER2-enriched subtype (OR, 10.949 [95% CI: 3.262–36.747], p < 0.001), multifocal or multicentric lesions (OR, 2.467 [95% CI: 1.067–5.706], p = 0.035), segmental or regional distribution of NME (OR, 8.514 [95% CI: 1.049–69.098], p = 0.045) and rim enhancement of mass (OR, 4.261 [95% CI: 1.347–13.477], p = 0.014) were significantly associated with the discrepancy between MRI and pathology.ConclusionPresence of DCIS, luminal B or HER2-enriched subtype, multicentric or multifocal lesions, segmental or regional distribution of NME and rim enhancement of mass may lead to a decrease in diagnostic accuracy of MRI in patients of breast cancer treated with NAC.

Publisher

Frontiers Media SA

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