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Background: In patients diagnosed with ductal carcinoma in situ (DCIS) with needle biopsy before surgery, invasive component (IC) is often found in the postoperative tissue, which results in altered post-surgical care. However, there are no clinically available factors to predict IC, and few MRI studies are available for the detection of IC in DCIS patients. The purpose of this study was to evaluate which risk factors can predict IC preoperatively.
Methods: Patients with a DCIS diagnosis based on preoperative biopsy, who underwent breast surgery Kangbuk Samsung Hospital between Jan 2005 and June 2018, were retrospectively evaluated. Clinico-pathological and breast MRI factors were compared between DCIS and DCIS with IC in postsurgical specimens.
Results: Of the 431 patients with a preoperative diagnosis of DCIS, 34 (7.9%) showed IC during the postoperative pathological investigations, and 217 (50.3%) underwent breast MRI. Among MRI-related factors, Mass-like enhancement on MRI was the sole but significant predictor of IC (HR = 0.26, C.I. = 0.07-0.93, p = 0.038), while nipple-areolar complex invasion, enhancement peak and pattern were not statistically significant. Nuclear grade was the only significant predictor of IC in the analysis of other clinico-pathological factors (HR = 2.39, C.I. = 1.05-5.42, p = 0.038 in univariate analysis, HR = 2.86, C.I. = 1.14-7.14, p = 0.025 in multivariate analysis).
Conclusions: Mass-like enhancement on MRI and high nuclear grade were associated with IC in patients with preoperative diagnosis of DCIS. Considering the high sensitivity of breast MRI for IC, further evaluation of the predictive value of MRI in preoperative DCIS patients is desirable.
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http://dx.doi.org/10.1186/s12885-019-6417-3 | DOI Listing |
Comput Methods Programs Biomed
September 2025
Electrical and Computer Engineering Department, School of Engineering, Morgan State University, Baltimore, MD, 21251, USA. Electronic address:
Breast Cancer (BC) remains a leading cause of morbidity and mortality among women globally, accounting for 30% of all new cancer cases (with approximately 44,000 women dying), according to recent American Cancer Society reports. Therefore, accurate BC screening, diagnosis, and classification are crucial for timely interventions and improved patient outcomes. The main goal of this paper is to provide a comprehensive review of the latest advancements in BC detection, focusing on diagnostic BC imaging, Artificial Intelligence (AI) driven analysis, and health disparity considerations.
View Article and Find Full Text PDFComput Methods Programs Biomed
August 2025
Zhengzhou University, School of Computer and Artificial Intelligence, Zhengzhou, 450001, China. Electronic address:
Background And Objective: The early detection of breast cancer plays a critical role in improving survival rates and facilitating precise medical interventions. Therefore, the automated identification of breast abnormalities becomes paramount, significantly enhancing the prospects of successful treatment outcomes. To address this imperative, our research leverages multiple modalities such as MRI, CT, and mammography to detect and screen for breast cancer.
View Article and Find Full Text PDFEur J Nucl Med Mol Imaging
September 2025
Department of PET-CT/MRI, NHC Key Laboratory of Molecular Probe and Targeted Theranostics, Harbin Medical University Cancer Hospital, Harbin, 150081, Heilongjiang, China.
Objective: CXCR4 and integrin αβ play important roles in tumor biology and are highly expressed in multiple types of tumors. This study aimed to synthesize, preclinically evaluate, and clinically validate a novel dual-targeted PET imaging probe Ga-pentixafor-c(RGDfK) for its potential in imaging tumors.
Methods: The effects of Ga-pentixafor-c(RGDfK) on cell viability, targeting specificity, and affinity were assessed in the U87MG cells.
Radiology
September 2025
Department of Radiology, Samsung Medical Center, Sungkyunkwan University School of Medicine, 81 Irwon-ro, Gangnam-gu, Seoul 06351, Korea.
Background The optimal surgical management of human epidermal growth factor receptor 2 (HER2)-positive breast cancer with calcifications remains controversial, particularly when pathologic complete response (pCR) is suspected. Purpose To identify factors associated with pCR after neoadjuvant chemotherapy in patients with HER2-positive breast cancer and assess whether calcifications affect the performance of radiologic complete response (rCR) at MRI for predicting pCR. Materials and Methods This retrospective study included patients with HER2-positive breast cancer who received neoadjuvant docetaxel, carboplatin, trastuzumab, and pertuzumab and underwent surgery between January 2021 and October 2023.
View Article and Find Full Text PDFRadiol Med
September 2025
Breast Imaging Division, Radiology Department, IEO European Institute of Oncology IRCCS, 20141, Milan, Italy.
Metastatic involvement (MB) of the breast from extramammary malignancies is rare, with an incidence of 0.09-1.3% of all breast malignancies.
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