Publications by authors named "Mary S Guirguis"

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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  • The BI-RADS category 3 assessment indicates findings that are "probably benign," with a less than 2% chance of being cancerous, helping to reduce unnecessary breast biopsies.
  • Despite its established guidelines for mammography, breast ultrasound, and emerging MRI uses, there is still confusion and misuse surrounding this category.
  • Category 3 findings should be followed up with short-term imaging to monitor for changes, and it is not appropriate to use in screening studies without further diagnostic evaluations.
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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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  • Early assessment of neoadjuvant systemic therapy (NAST) response is important for triple-negative breast cancer (TNBC) patients to prevent harmful side effects from ineffective treatments.
  • The study evaluated functional tumor volumes (FTVs) using dynamic contrast-enhanced (DCE) MRI after the 2nd and 4th cycles of NAST in 100 patients, finding FTVs at these points could indicate treatment response.
  • Results showed that 49% of patients achieved a pathologic complete response (pCR), with FTV at the 4th cycle having the best predictive accuracy (AUC = 0.84), while baseline FTV did not distinguish between pCR and non-pCR.
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  • 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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Breast augmentation is one of the most common aesthetic procedures performed in the United States. Several techniques of breast augmentation have been developed, including the implantation of breast prostheses and the injection of autologous fat and other materials. The most common method of breast augmentation is to implant a prosthesis.

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Screening mammography identifies early-stage breast cancers and is associated with reduced breast cancer mortality. An unintended consequence of breast screening is the detection and diagnosis of multiple incidental benign and malignant breast lesions, including the heterogenous group of incidental benign (B3) lesions with uncertain biological outcomes and malignant potential, for which management remains controversial. Recent shifts toward more conservative management approaches, including the identification of patients who can undergo observation after vacuum-assisted excision, has gained interest.

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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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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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Purpose: Increased levels of stromal tumor-infiltrating lymphocytes (sTILs) have recently been considered a favorable independent prognostic and predictive biomarker in triple-negative breast cancer (TNBC). The purpose of this study was to determine the relationship between BI-RADS (Breast Imaging Reporting and Data System) ultrasound lexicon descriptors and sTILs in TNBC.

Materials And Methods: Patients with stage I-III TNBC were evaluated within a single-institution neoadjuvant clinical trial.

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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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Many benign breast entities have a clinical and imaging presentation that can mimic breast cancer. The purpose of this review is to illustrate the wide spectrum of imaging features that can be associated with benign breast diseases with an emphasis on the suspicious imaging findings associated with these benign conditions that can mimic cancer. As radiologic-pathologic correlation can be particularly challenging in these cases, the radiologist's familiarity with these benign entities and their imaging features is essential to ensure that a benign pathology result is accepted as concordant when appropriate and that a suitable management plan is formulated.

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The standardization of the AJCC TNM staging system for breast cancer allows physicians to evaluate patients with breast cancer using standard language and criteria, assess treatment response, and compare patient outcomes. Previous editions of the relied on the anatomic TNM method of staging that incorporates imaging and uses population-level survival data to predict patient outcomes. Recent advances in therapy based on biomarker status and multigene panels have improved treatment strategies.

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Ultrasound evaluation of the axilla plays a critical role in the setting of newly diagnosed breast cancer as surgical management evolves toward more targeted axillary nodal resection. Regional nodal involvement by metastatic carcinoma is one of most important prognostic factors in breast cancer and guides local, regional, and systemic treatment. Ultrasound also evaluates response to neoadjuvant chemotherapy.

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68Ga-DOTA peptides have revolutionized the imaging of neuroendocrine tumors because the agents are specific to somatostatin receptors. However, other tumors, including breast cancer, have been shown to express somatostatin receptors. We present the case of a 74-year-old woman with primary cardiac paraganglioma, who was found to have 68Ga-DOTATATE activity in the breast on staging PET/CT.

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