| Literature DB >> 33436702 |
Yunju Kim1,2, Sung Hoon Sim3,4, Boram Park5,6,7, In Hye Chae2, Jai Hong Han8, So-Youn Jung6,8, Seeyoun Lee8, Youngmi Kwon9, In Hae Park10,11, Kyounglan Ko2,12, Chan Wha Lee2, Keun Seok Lee10, Han-Sung Kang8, Eun Sook Lee8.
Abstract
We investigated magnetic resonance imaging (MRI) criteria identifying residual tumours in patients with triple-negative and human epidermal growth factor receptor type 2-positive (HER2+) breast cancer following neoadjuvant chemotherapy. Retrospectively, 290 patients were included who had undergone neoadjuvant chemotherapy and definitive surgery. Clinicopathological features, as well as lesion size and lesion-to-background parenchymal signal enhancement ratio (SER) in early- and late-phase MRIs, were analysed. Receiver operating characteristic (ROC) analyses evaluated diagnostic performances. Maximal MRI values showing over 90% sensitivity and negative predictive value (NPV) were set as cut-off points. Identified MRI criteria were prospectively applied to 13 patients with hormone receptor-negative (HR-) tumours. The lesion size in HR-HER2-tumours had the highest area under the ROC curve value (0.92), whereas this parameter in HR + HER2 + tumours was generally low (≤ 0.75). For HR-tumours, both sensitivity and NPV exceeded the 90% threshold for early size > 0.2 cm (HR-HER2-) or > 0.1 cm (HR-HER2 +), late size > 0.4 cm, and early SER > 1.3. In the prospective pilot cohort, the criteria size and early SER did not find false negative cases, but one case was false negative with late SER. Distinguishing residual tumours based on MRI is feasible in selected triple-negative and HER2 + breast cancer patients.Entities:
Year: 2021 PMID: 33436702 PMCID: PMC7804856 DOI: 10.1038/s41598-020-79743-8
Source DB: PubMed Journal: Sci Rep ISSN: 2045-2322 Impact factor: 4.379