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

• Published in: Frontiers in oncology Vol. 14; p. 1366613
• Main Authors: Hu, Qilan, Hu, Yiqi, Ai, Huiyang, Xia, Liming, Liu, Rong, Ai, Tao
• Format: Journal Article
• Language: English
• Published: Switzerland Frontiers Media S.A 17.05.2024
• Subjects: breast cancer; magnetic resonance imaging; neoadjuvant chemotherapy; pathologic complete response; radiologic complete response; radiologic complete response; neoadjuvant chemotherapy; breast cancer; pathologic complete response; magnetic resonance imaging
• ISSN: 2234-943X; 2234-943X
• DOI: 10.3389/fonc.2024.1366613

To 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). A 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. Among 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 (DCIS) (OR, 3.975 [95% CI: 1.448-10.908], = 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], < 0.001), multifocal or multicentric lesions (OR, 2.467 [95% CI: 1.067-5.706], = 0.035), segmental or regional distribution of NME (OR, 8.514 [95% CI: 1.049-69.098], = 0.045) and rim enhancement of mass (OR, 4.261 [95% CI: 1.347-13.477], = 0.014) were significantly associated with the discrepancy between MRI and pathology. Presence 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.