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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.
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1 CHA University, Department of Radiology, CHA Bundang Medical Center, Seongnam, Korea (GRID:grid.410886.3) (ISNI:0000 0004 0647 3511); National Cancer Center, Division of Radiology, Center for Breast Cancer, Goyang, Korea (GRID:grid.410914.9) (ISNI:0000 0004 0628 9810)
2 National Cancer Center, Division of Hemato-Oncology, Center for Breast Cancer, Goyang-si, Korea (GRID:grid.410914.9) (ISNI:0000 0004 0628 9810); National Cancer Center, Division of Translational Science, Research Institute, Goyang, Korea (GRID:grid.410914.9) (ISNI:0000 0004 0628 9810)
3 National Cancer Center, Biostatistics Collaboration Team, Research Core Center, Research Institute, Goyang, Korea (GRID:grid.410914.9) (ISNI:0000 0004 0628 9810); National Cancer Center, Division of Cancer Epidemiology and Management, Research Institute, Goyang, Korea (GRID:grid.410914.9) (ISNI:0000 0004 0628 9810); Samsung Medical Center, Statistics and Data Center, Seoul, Korea (GRID:grid.414964.a) (ISNI:0000 0001 0640 5613)
4 National Cancer Center, Division of Radiology, Center for Breast Cancer, Goyang, Korea (GRID:grid.410914.9) (ISNI:0000 0004 0628 9810)
5 National Cancer Center, Division of Surgery, Center for Breast Cancer, Goyang, Korea (GRID:grid.410914.9) (ISNI:0000 0004 0628 9810)
6 National Cancer Center, Division of Cancer Epidemiology and Management, Research Institute, Goyang, Korea (GRID:grid.410914.9) (ISNI:0000 0004 0628 9810); National Cancer Center, Division of Surgery, Center for Breast Cancer, Goyang, Korea (GRID:grid.410914.9) (ISNI:0000 0004 0628 9810)
7 National Cancer Center, Division of Pathology, Center for Breast Cancer, Goyang, Korea (GRID:grid.410914.9) (ISNI:0000 0004 0628 9810)
8 National Cancer Center, Division of Hemato-Oncology, Center for Breast Cancer, Goyang-si, Korea (GRID:grid.410914.9) (ISNI:0000 0004 0628 9810); Korea University College of Medicine, Division of Internal Medicine, Department of Hemato-Oncology, Seoul, Korea (GRID:grid.222754.4) (ISNI:0000 0001 0840 2678)
9 National Cancer Center, Division of Radiology, Center for Breast Cancer, Goyang, Korea (GRID:grid.410914.9) (ISNI:0000 0004 0628 9810); National Cancer Center, Division of Translational Science, Research Institute, Goyang, Korea (GRID:grid.410914.9) (ISNI:0000 0004 0628 9810)
10 National Cancer Center, Division of Hemato-Oncology, Center for Breast Cancer, Goyang-si, Korea (GRID:grid.410914.9) (ISNI:0000 0004 0628 9810)