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(1) Background: To help to refine the accuracy of sentinel lymph node biopsy (SLNB) in breast cancer (BC) patients with biopsy-proven nodal disease prior to neoadjuvant chemotherapy (NACT), a method of marking the biopsy-proven positive LN at diagnosis to enable its removal during surgery was proposed. The aim of this study was to evaluate the accuracy of the Radio-Guided Occult Lesion Localization (ROLL) technique of biopsy-proven metastatic LN in nodal staging after NACT among node-positive BC patients. (2) Methods: Patients with invasive BC and biopsy-proven axillary metastases receiving NACT were enrolled. A clip marker was placed on the sampled LN (clipped lymph node, CLN) before NACT. Before surgery, the ROLL procedure (radioactive tracer injection into CLN under ultrasound guidance) was performed, and the CLN was surgically resected. The correspondence between the CLNs and SLNs was evaluated. The pathologic findings of the CLNs and SLN(s) were compared with remaining axillary nodes at ALND to determine false negative rates (FNRs). (3) Results: Seventy-two patients were analyzed. Surgery successfully identified the CLN in 70/72 procedures (97.2%). For 60/72 patients who underwent ALND, the FNRs dropped from 19.35% for SLNB to 3.13% for CLN biopsy. (4) Conclusions: The ROLL procedure got CLNs is accurate in axillary nodal staging after NACT in node-positive BC patients at diagnosis.

To develop a predictive scoring system for ultrasound-detected B3 lesions at ultrasound-guided core needle biopsy (US-CNB). A total of 2724 consecutive US-CNBs performed in our Institution (January 2011 to December 2014) were retrospectively reviewed. Inclusion criteria were as follows: (a) histopathological examination of the entire lesion or (b) availability of radiologic follow-up (FUP) ≥24 months. Patient- and lesion-related variables—patients’ age, lesion consistency, lesion size, vascularization, BI-RADS category, and US-CNB result—were analyzed. Positive predictive values (PPVs) for malignancy were calculated correlating US-CNB results with excision histology or FUP. A scoring system for underlying malignancy was developed using risk factors weighting. A total of 102 B3 lesions were included: 27 atypical ductal hyperplasia (26.5%), 5 lobular intraepithelial neoplasia (4.9%), 32 radial scar (31.4%), 37 papillary lesions (36.3%), and 1 fibroepithelial lesion (0.9%). Surgery was performed on 71/102 (69.6%) lesions, and 22/71 were malignant; the remaining 31/102 lesions (30.4%) were unchanged at FUP. The overall PPV for malignancy was 21.6%. Patients’ age (odds ratio [OR] = 3.63, P = 0.008), lesion consistency (OR = 5.96, P = 0.001), BI-RADS category (OR = 17.52, P < 0.001), and CNB result (OR = 3.6, P = 0.008) were associated with a higher risk of malignancy underestimation and selected as risk factors in the score definition. Two risk groups were identified: low (0-2 points) and high risk (3-5 points), with significantly different risk of malignancy underestimation (8.0% vs 59.3%, P < 0.001). The proposed score helps to predict the risk of malignancy underestimation and choose the management of B3 lesions at US-CNB.

Automated breast ultrasonography (ABUS) is a new imaging technology for automatic breast scanning through ultrasound. It was first developed to overcome the limitation of operator dependency and lack of standardization and reproducibility of handheld ultrasound. ABUS provides a three-dimensional representation of breast tissue and allows images reformatting in three planes, and the generated coronal plane has been suggested to improve diagnostic accuracy. This technique has been first used in the screening setting to improve breast cancer detection, especially in mammographically dense breasts. In recent years, numerous studies also evaluated its use in the diagnostic setting: they showed its suitability for breast cancer staging, evaluation of tumor response to neoadjuvant chemotherapy, and second-look ultrasound after magnetic resonance imaging. The purpose of this article is to provide a comprehensive review of the current body of literature about the clinical performance of ABUS, summarize available evidence, and identify gaps in knowledge for future research.