Publications by authors named "Tanya W Moseley"

Molecular breast imaging (MBI) is a functional imaging modality that utilizes technetium 99m sestamibi radiotracer uptake to evaluate the biology of breast tumors. Molecular breast imaging can be a useful tool for supplemental screening of women with dense breasts, for breast cancer diagnosis and staging, and for evaluation of treatment response in patients with breast cancer undergoing neoadjuvant systemic therapy. In addition, MBI is useful in problem-solving when mammography and US imaging are insufficient to arrive at a definite diagnosis and for patients who cannot undergo breast MRI.

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  • Triple-negative breast cancer (TNBC) patients often undergo neoadjuvant systemic therapy (NAST) to improve treatment outcomes.
  • A study analyzed multiparametric MRI scans from 163 TNBC patients at different stages of NAST to see if radiomic models could predict the likelihood of achieving a pathologic complete response (pCR).
  • The best predictive model, based on changes in MRI features after two cycles of treatment, showed a strong ability to forecast pCR with high accuracy, indicating that MRI could be useful for early treatment response assessments in TNBC.
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  • - The nipple-areolar complex (NAC) is a crucial part of breast anatomy that can be affected by various benign and malignant diseases, often presenting overlapping symptoms and imaging findings.
  • - Understanding NAC's unique structure and the various conditions affecting it is key for accurate diagnosis; this includes assessing nipple discharge, which can signal serious issues like breast cancer.
  • - A multimodal imaging approach, particularly utilizing breast MRI alongside other techniques, is essential for evaluating NAC diseases and guiding appropriate clinical management, including biopsy options for testing identified issues.
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  • The study investigates the use of diffusion tensor imaging (DTI) to assess treatment response in women with triple-negative breast cancer (TNBC) undergoing neoadjuvant systemic treatment (NAST).
  • Out of 86 participants, 47% achieved a pathologic complete response (pCR), and DTI parameters showed significant differences between pCR and non-pCR patients during treatment.
  • Findings suggest that DTI measurements, particularly of the peritumoral region, could be valuable in predicting treatment outcomes for TNBC patients.
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  • A deep learning model was trained to predict how well patients with triple negative breast cancer (TNBC) respond to neoadjuvant systemic therapy (NAST) using MRI scans taken before and after treatment.
  • The model showed strong predictive performance, achieving high accuracy scores (AUCs) for different testing groups, indicating it can reliably identify patients who have a pathologic complete response (pCR).
  • This technology could lead to more personalized treatment strategies for TNBC patients by allowing early identification of those likely to benefit from NAST based on MRI data.
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  • Triple-negative breast cancer (TNBC) is an aggressive type of breast cancer that does not express estrogen or progesterone receptors and lacks overexpression of the HER2 protein, affecting 8%-13% of breast cancer patients and more common in younger and non-Hispanic Black women.
  • TNBC often shows benign imaging features, making detection through mammography challenging; ultrasound (US) is better for detection, but breast MRI is the most sensitive method.
  • Treatment usually involves neoadjuvant chemotherapy followed by surgery and radiation, with lower 5-year survival rates compared to other breast cancer types; recent advances in immunotherapy and imaging may improve outcomes and personalized treatment strategies in the future.*
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Purpose Of Review: The purpose of this review is to discuss disparities in breast health care access and outcomes related to race, gender, cultural diversity, sexual orientation, socioeconomic status, geographic location, and disability. The authors recognize the complexity of eliminating inequalities in health care but are optimistic that all patients will one day have equal access to care through dialogue, acknowledgment, recognition, and action.

Recent Findings: After lung cancer, breast cancer is the second leading cause of death among American women.

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Article Synopsis
  • Triple-negative breast cancer (TNBC) is a particularly aggressive form of breast cancer, and standard treatment involves neoadjuvant systemic therapy (NAST) followed by surgery, with 50-60% of patients achieving a pathologic complete response (pCR).
  • Researchers used deep learning (DL) techniques on dynamic contrast-enhanced (DCE) MRI and diffusion-weighted imaging during early NAST in 130 TNBC patients, achieving high predictive accuracy for pCR status.
  • The DL model showed robust performance in separate testing groups, with AUC scores ranging from 0.83 to 0.97, suggesting that multiparametric MRI combined with DL can effectively identify TNBC patients likely to achieve pCR early
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  • - Contrast-enhanced mammography (CEM) is a new imaging method for breast evaluation that uses iodine-based contrast material to enhance visibility during mammograms, allowing for better identification of suspicious areas.
  • - CEM-guided biopsy technology was introduced in 2019 and gained FDA approval in 2020, making it possible to directly sample the areas of concern highlighted by CEM that might not be visible through traditional imaging.
  • - The article shares insights from the authors' initial experiences with challenging CEM-guided biopsies and provides a detailed procedural algorithm to help manage potential technical difficulties during the biopsy process.
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Background: Pathologic complete response (pCR) to neoadjuvant systemic therapy (NAST) in triple-negative breast cancer (TNBC) is a strong predictor of patient survival. Edema in the peritumoral region (PTR) has been reported to be a negative prognostic factor in TNBC.

Purpose: To determine whether quantitative apparent diffusion coefficient (ADC) features from PTRs on reduced field-of-view (rFOV) diffusion-weighted imaging (DWI) predict the response to NAST in TNBC.

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This article reviews the ultrasound evaluation and staging of breast cancer with respect to the involvement of interpectoral (Rotter) lymph nodes. The primary objective is to demonstrate and assess the characteristic sonographic findings of interpectoral (Rotter) lymph nodes to help provide accurate nodal staging information. We aim to provide a comprehensive review and serve as an imaging guide for the identification and evaluation of Rotter lymph nodes.

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Background: Nonpalpable breast lesions require precise preoperative localization to facilitate negative margins with breast-conserving therapy. The traditional use of wires has several challenges including patient discomfort, wire migration, and coordination of schedules between radiology and the operating room. Radioactive seed localization overcomes some of these challenges, but radiation safety requirements have limited adoption of this technology.

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MRI-guided breast biopsy is often necessary to distinguish between benign and malignant lesions depicted at MRI, and meticulous preparation and radiologic-pathologic correlation aid in definitive diagnosis.

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A collaborative approach to treating patients is well taught in medical training. However, collaboration and team building in clinical and laboratory research may have been given less emphasis. More scientific discoveries are now being made with multidisciplinary teams, requiring a thoughtful approach in order to achieve research goals while mitigating potential conflicts.

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Breast conservation surgery (BCS) is the standard of care for treating patients with early-stage breast cancer and those with locally advanced breast cancer who achieve an excellent response to neoadjuvant chemotherapy. The radiologist is responsible for accurately localizing nonpalpable lesions to facilitate successful BCS. In this article, we present a practical modality-based guide on approaching challenging pre-operative localizations and incorporate examples of challenging localizations performed under sonographic, mammographic, and MRI guidance, as well as under multiple modalities.

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Human epidermal growth factor receptor 2 (HER2)-positive classic invasive lobular carcinoma (ILC) is a rare entity, and its specific pathological characteristics and clinical behavior are unclear. Therefore, we retrospectively investigated the clinicopathological features of HER2-positive classic ILC and described HER2-targeted neoadjuvant chemotherapy outcome. Fourteen HER2-positive classic ILC cases were identified, their clinicopathological data were collected, and their clinical management was investigated.

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Purpose: To develop a computational approach to re-create rarely stored for-processing (raw) digital mammograms from routinely stored for-presentation (processed) mammograms.

Materials And Methods: In this retrospective study, pairs of raw and processed mammograms collected in 884 women (mean age, 57 years ± 10 [standard deviation]; 3713 mammograms) from October 5, 2017, to August 1, 2018, were examined. Mammograms were split 3088 for training and 625 for testing.

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Invasive micropapillary carcinoma is a rare variant of invasive ductal carcinoma of the breast. This variant has been described as clinically aggressive due to its high frequency of lymphovascular invasion, axillary nodal metastases, and a greater degree of loco-regional recurrence. Invasive micropapillary carcinoma can have a variety of imaging presentations, typically presenting as an irregular mass.

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Introduction: Breast conservation surgery (BCS) is the treatment of choice for unifocal, early-stage breast cancer. The ability to offer BCS to a wider subset of patients, including those with multifocal/multicentric cancer as well as extensive ductal carcinoma in situ, has emerged over time, especially in those undergoing joint oncoplastic reconstruction and those treated with neoadjuvant therapy. However, localization techniques using multiple radioactive seeds for bracketing in this patient subset have not been validated.

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Background: Heterogeneity exists in the response of triple-negative breast cancer (TNBC) to standard anthracycline (AC)/taxane-based neoadjuvant systemic therapy (NAST), with 40% to 50% of patients having a pathologic complete response (pCR) to therapy. Early assessment of the imaging response during NAST may identify a subset of TNBCs that are likely to have a pCR upon completion of treatment. The authors aimed to evaluate the performance of early ultrasound (US) after 2 cycles of neoadjuvant NAST in identifying excellent responders to NAST among patients with TNBC.

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The integration of personal protective equipment (PPE) and procedures into breast imaging and intervention practices will mitigate the risk of transmission of COVID-19 during the pandemic. Although supply chain shortages have improved, understanding the proper use of PPE and protocols to mitigate overconsumption are important to ensure efficacious utilization of PPE. Protocols and best practices are reviewed, and guidelines and resource materials are referenced in order to support breast imaging healthcare professionals.

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Objective: Li-Fraumeni syndrome (LFS) is a rare autosomal-dominant inherited syndrome containing a germline mutation in the gene, which predisposes to oncogenesis. Leukemia and tumors of the brain, soft tissues, breasts, adrenal glands, and bone are the most common cancers associated with this syndrome. Patients with LFS are very susceptible to radiation, therefore the use of whole-body MRI is recommended for regular cancer screening.

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