Evaluation with 3.0-T MR imaging: Predicting the pathological response of triple-negative breast cancer treated with anthracycline and taxane neoadjuvant chemotherapy

Min Jung Kim, Eun Kyung Kim, Seho Park, Hee Jung Moon, Seung Il Kim, Byeong Woo Park

Research output: Contribution to journalArticle

9 Citations (Scopus)


Background: Triple-negative breast cancer (TNBC) which expresses neither hormonal receptors nor HER-2 is associated with poor prognosis and shorter survival. Several studies have suggested that TNBC patients attaining pathological complete response (pCR) after neoadjuvant chemotherapy (NAC) show a longer survival than those without pCR. Purpose: To assess the accuracy of 3.0-T breast magnetic resonance imaging (MRI) in predicting pCR and to evaluate the clinicoradiologic factors affecting the diagnostic accuracy of 3.0-T breast MRI in TNBC patients treated with anthracycline and taxane (ACD). Material and Methods: This retrospective study was approved by the institutional review board; patient consent was not required. Between 2009 and 2012, 35 TNBC patients with 3.0-T breast MRI prior to (n=26) or after (n=35) NAC were included. MRI findings were reviewed according to pCR to chemotherapy. The diagnostic accuracy of 3.0-T breast MRI for predicting pCR and the clinicoradiological factors affecting MRI accuracy and response to NAC were analyzed. Results: 3.0-T MRI following NAC with ACD accurately predicted pCR in 91.4% of TNBC patients. The residual tumor size between pathology and 3.0-T MRI in non-pCR cases showed a higher correlation in the Ki-67-positive TNBC group (r=0.947) than in the Ki-67 negative group (r=0.375) with statistical trends (P=0.069). Pre-treatment MRI in the nonpCR group compared to the pCR group showed a larger tumor size (P=0.030) and non-mass presentation (P=0.015). Conclusion: 3.0-T MRI in TNBC patients following NAC with ACD showed a high accuracy for predicting pCR to NAC. Ki-67 can affect the diagnostic accuracy of 3.0-T MRI for pCR to NAC with ACD in TNBC patients.

Original languageEnglish
Pages (from-to)1069-1077
Number of pages9
JournalActa Radiologica
Issue number9
Publication statusPublished - 2015 Jan 1


All Science Journal Classification (ASJC) codes

  • Radiological and Ultrasound Technology
  • Radiology Nuclear Medicine and imaging

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