Breast cancer mortality rates have shown only modest improvement despite the advent of effective chemotherapeutic agents which have been administered to a large percentage of women with breast cancer. In an effort to improve breast cancer treatment strategies, a variety of mathematical models have been developed that describe the natural history of breast cancer and the effects of treatment on the cancer. These models help researchers to develop, quantify, and test various treatment hypotheses quickly and efficiently. The present review discusses several of these models, with a focus on how they have been used to predict the initiation time of metastatic growth, the effect of operative therapy on the growth of metastases, and the optimal administration strategy for chemotherapy.

Sentinel lymph node biopsy (SLNB) has become an accepted standard of care to stage the axilla for clinically node-negative early stage breast cancer. In experienced hands, studies have shown an acceptable rate of identification of the sentinel lymph node (SLN) with blue dye only. Lymphazurin is occasionally associated with severe allergic reaction, including anaphylaxis and death. The use of methylene blue alone as a method of identifying the SLN in breast cancer has been reported once previously in the literature. Methylene blue may be an acceptable alternative with fewer deleterious side effects. Medical records of patients, who underwent sentinel node mapping between September 2003 and March 2005 by two surgeons at an academic medical center were reviewed. SLN mapping was performed by periareolar injection of 5 cc of 1% methylene blue. All patients with positive SLNs underwent completion axillary node dissection. During the study period, 141 consecutive patients with clinically node-negative axillas and without evidence of inflammatory breast cancer underwent SLNB with injection of methylene blue only. A SLN was identified in 136 of 141 patients (96.5%). Thirty-three of 136 SLNs (24%) harbored metastatic disease. No cases of anaphylaxis were noted. In experienced hands, methylene blue alone is a highly sensitive method of detecting SLNs. Avoiding the greater frequency of allergic reactions seen with lymphazurin is an important advantage of methylene blue.

BACKGROUND: During the COVID-19 pandemic, surgical delays have been common for patients with ductal carcinoma in situ (DCIS) and early-stage estrogen receptor-positive (ERþ) breast cancer, often in favor of neoadjuvant endocrine therapy (NET). To understand possible ramifications of these delays, we examined the association between time to operation and pathologic staging and overall survival (OS). STUDY DESIGN: Patients with DCIS or ERþ cT1-2N0 breast cancer treated from 2010 through 2016 were identified in the National Cancer Database. Time to operation was recorded. Factors associated with pathologic upstaging were examined using logistic regression analyses. Cox proportional hazard models were used to analyze OS. Analyses were stratified by disease stage and initial treatment strategy. RESULTS: There were 378,839 patients identified. Among those undergoing primary surgical procedure, time to operation was within 120 days in > 98% in all groups. Among cT1-2N0 patients selected for NET, operations were performed within 120 days in 59.6% of cT1N0 and 30.9% of cT2N0 patients. Increased time to operation was associated with increased odds of pathologic upstaging in DCIS patients (ERþ: 60 to 120 days: odds ratio 1.15; 95% CI, 1.08 to 1.22; more than 120 days: odds ratio 1.44; 95% CI, 1.24 to 1.68; ERe: 60 to 120 days: NS; more than 120 days: odds ratio 1.36; 95% CI, 1.01 to 1.82; 60 days or less: reference), but not in patients with invasive cancer, irrespective of initial treatment strategy. No difference in OS was seen by time to operation in DCIS or NET patients. CONCLUSIONS: Increased time to operation was associated with a small increase in pathologic upstaging in DCIS patients, but did not impact OS. In patients with cT1-2N0 disease, NET use did not impact stage or OS, supporting the safety of delay strategies in ERþ breast cancer patients during the pandemic.

This series shows a low upgrade rate for IP without atypia seen on CBx in the absence of a palpable mass and radiographic/pathologic discordance, suggesting that a surgical biopsy may not be necessary. Further prospective studies to better estimate the upgrade rate for IPs without atypia may be helpful.

Inflammatory breast cancer (IBC) is a rare breast cancer with a highly virulent course and low 5-year survival rate. Trimodality treatment that includes preoperative chemotherapy, mastectomy, and radiation therapy is the therapeutic mainstay and has been shown to improve prognosis. Proper diagnosis and staging of IBC is critical to treatment planning and requires a multidisciplinary approach that includes imaging. Patients with IBC typically present with rapid onset of breast erythema, edema, and peau d'orange. Both tissue diagnosis of malignancy and clinical findings of inflammatory disease are required to confirm diagnosis of IBC. Imaging is used to identify a biopsy target; direct biopsy; stage IBC; differentiate curable from incurable (stage IV) disease; and help plan chemotherapy, surgical management, and radiation therapy. Comparison of baseline and posttreatment images helps confirm and quantitate disease response. When imaging is used early in the course of therapy to noninvasively predict treatment response, optimal tailored strategies for management of IBC can be implemented. Imaging is vital to diagnosis and treatment planning for patients with IBC, and radiologists are an integral part of the multidisciplinary patient care team.

The implementation of an individualized VTE prophylaxis protocol for patients undergoing mastectomy ± implant-based reconstruction is safe and feasible. Despite a high-risk cohort, the incidence of VTE was very low and bleeding complications were consistent with reported rates for breast surgery. Continued evaluation of this strategy is warranted.

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Brain metastases are associated with significant morbidity. Minimal research has been conducted on the risk factors for and incidence of brain metastases in women with inflammatory breast cancer (IBC). 210 women with Stage III or IV IBC diagnosed from 1997-2011 were identified. Competing risk analysis and competing risks regression were used to calculate the incidence of brain metastases and identify significant risk factors. After a median follow-up in surviving patients of 2.8 years (range 0.6-7.6) and 3.3 years (range 0.2-14.5) in the 47 and 163 patients with (MET) and without (non-MET) metastatic disease at diagnosis, 17 (36 %) and 30 (18 %) developed brain metastases, respectively. The cumulative incidence at 1, 2, and 3 years was 17 % [95 % confidence interval (CI), 8-30], 34 % (95 % CI, 20-48), and 37 % (95 % CI, 22-51) for the MET cohort. The corresponding non-MET values were 4 % (95 % CI, 2-8), 8 % (95 % CI 5-13), and 15 % (95 % CI, 10-22). Once non-MET patients developed extracranial distant metastases, the subsequent 1, 2, and 3 years cumulative incidence of brain metastases was 18 % (95 % CI, 10-28), 25 % (95 % CI, 15-36), and 31 % (95 % CI, 20-43). On multivariate analysis, brain metastases were associated with younger age [hazard ratio (HR), 0.73; 95 % CI, 0.53-1.00; P = 0.05] and distant metastases at diagnosis (HR, 2.33; 95 % CI, 1.11-4.89; P = 0.03). The incidence of brain metastases is high in women with IBC. Particularly for patients with extracranial distant metastases, routine screening with magnetic resonance imaging should be considered.