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Consecutive Screening Rounds with Digital Breast Tomosynthesis Enable Detection of Breast Cancers with Poor Prognosis [Comment]
Moy, Linda; Heller, Samantha L
PMID: 32159450
ISSN: 1527-1315
CID: 4349772
Unknown case #5 diagnosis: Rheumatoid arthritis-associated lymphocytic mastopathy
Airola, Krystal; Moy, Linda
SCOPUS:85083064857
ISSN: 2631-6110
CID: 4420862
Assessing Radiology Research on Artificial Intelligence: A Brief Guide for Authors, Reviewers, and Readers-From the Radiology Editorial Board [Editorial]
Bluemke, David A; Moy, Linda; Bredella, Miriam A; Ertl-Wagner, Birgit B; Fowler, Kathryn J; Goh, Vicky J; Halpern, Elkan F; Hess, Christopher P; Schiebler, Mark L; Weiss, Clifford R
PMID: 31891322
ISSN: 1527-1315
CID: 4481462
The relationship of breast density in mammography and magnetic resonance imaging in women with triple negative breast cancer
Mema, Eralda; Schnabel, Freya; Chun, Jennifer; Kaplowitz, Elianna; Price, Alison; Goodgal, Jenny; Moy, Linda
PURPOSE/OBJECTIVE:To evaluate the relationship between mammographic density, background parenchymal enhancement and fibroglandular tissue on MRI in women with triple negative breast cancer (TNBC) compared to women with non-triple negative breast cancer (non-TNBC). METHODS:The institutional Breast Cancer Database was queried to identify the clinicopathologic and imaging characteristics among women who underwent mammography and breast MRI between 2010-2018. Statistical analyses included Pearson's Chi Square, Wilcoxon Rank-Sum and logistic regression. RESULTS:Of 2995 women, 225 (7.5 %) had TNBC with a median age of 60 years (23-96) and median follow-up of 5.69 years. Compared to women with non-TNBC, TNBC was associated with African-American race 36/225 (16 %), BRCA1,2 positivity 34/225 (15.1 %), previous history of breast cancer 35/225 (15.6 %), presenting on breast exam 126/225 (56 %) or MRI 13/225 (5.8 %), palpability 133/225 (59.1 %), more invasive ductal carcinoma (IDC) 208/225 (92.4 %), higher stage (stage III) 37/225 (16.5 %), higher grade (grade 3) 186/225 (82.7 %) (all p < 0.001), lower mammographic breast density (MBD) 18/225 (8 %) (p = 0.04), lower fibroglandular tissue (FGT) 17/225 (7.6 %) (p = 0.01), and lower background parenchymal enhancement (BPE) 89/225 (39.8 %) (p = 0.02). Nine of 225 (4 %) women with TNBC experienced recurrence with no significant association with MBD, FGT, or BPE. There was no significant difference in median age of our TNBC and non-TNBC cohorts. CONCLUSIONS:The higher proportion of women with lower MBD, FGT and BPE in women with TNBC suggests that MBD, amount of FGT and degree of BPE may be associated with breast cancer risk in women with TNBC.
PMID: 31927471
ISSN: 1872-7727
CID: 4262842
Unknown Case #5: A 38-year-old woman with a palpable abnormality in the right breast
Airola, Krystal; Moy, Linda
SCOPUS:85101338054
ISSN: 2631-6110
CID: 4832582
Unknown case #4: Part 2
Chung, Stephanie H.; Moy, Linda; Gao, Yiming
SCOPUS:85101026125
ISSN: 2631-6110
CID: 4798212
Background parenchymal enhancement on breast MRI: A comprehensive review
Liao, Geraldine J; Bancroft, Leah H; Strigel, Roberta M; Chitalia, Rhea D; Kontos, Despina; Moy, Linda; Partridge, Savannah C; Rahbar, Habib
The degree of normal fibroglandular tissue that enhances on breast MRI, known as background parenchymal enhancement (BPE), was initially described as an incidental finding that could affect interpretation performance. While BPE is now established to be a physiologic phenomenon that is affected by both endogenous and exogenous hormone levels, evidence supporting the notion that BPE frequently masks breast cancers is limited. However, compelling data have emerged to suggest BPE is an independent marker of breast cancer risk and breast cancer treatment outcomes. Specifically, multiple studies have shown that elevated BPE levels, measured qualitatively or quantitatively, are associated with a greater risk of developing breast cancer. Evidence also suggests that BPE could be a predictor of neoadjuvant breast cancer treatment response and overall breast cancer treatment outcomes. These discoveries come at a time when breast cancer screening and treatment have moved toward an increased emphasis on targeted and individualized approaches, of which the identification of imaging features that can predict cancer diagnosis and treatment response is an increasingly recognized component. Historically, researchers have primarily studied quantitative tumor imaging features in pursuit of clinically useful biomarkers. However, the need to segment less well-defined areas of normal tissue for quantitative BPE measurements presents its own unique challenges. Furthermore, there is no consensus on the optimal timing on dynamic contrast-enhanced MRI for BPE quantitation. This article comprehensively reviews BPE with a particular focus on its potential to increase precision approaches to breast cancer risk assessment, diagnosis, and treatment. It also describes areas of needed future research, such as the applicability of BPE to women at average risk, the biological underpinnings of BPE, and the standardization of BPE characterization. Level of Evidence: 3 Technical Efficacy Stage: 5.
PMID: 31004391
ISSN: 1522-2586
CID: 3810742
Architectural distortion on digital breast tomosynthesis: Management algorithm and pathological outcome
Samreen, N; Moy, L; Lee, C S
Architectural distortion on digital breast tomosynthesis (
EMBASE:2010072855
ISSN: 2631-6129
CID: 4699202
Screening Guidelines Update for Average-Risk and High-Risk Women
Lee, Cindy S; Monticciolo, Debra L; Moy, Linda
OBJECTIVE. The purpose of this study is to describe screening updates for women with average and high risk for breast cancer, compare different screening strategies, and describe new approaches in risk prediction, including radiomics. CONCLUSION. All women are at substantial risk for breast cancer. For women with average risk, annual mammography beginning at 40 years old maximizes the life-extending benefits and provides improved treatment options. Women at higher risk need earlier and more intense screening. Delaying initiation or decreasing frequency of mammographic screening adversely affects breast cancer detection.
PMID: 31714845
ISSN: 1546-3141
CID: 4186832
ACR Appropriateness Criteria® Stage I Breast Cancer: Initial Workup and Surveillance for Local Recurrence and Distant Metastases in Asymptomatic Women
Lewin, Alana A; Moy, Linda; Baron, Paul; Didwania, Aarati D; diFlorio-Alexander, Roberta M; Hayward, Jessica H; Le-Petross, Huong T; Newell, Mary S; Rewari, Amar; Scheel, John R; Stuckey, Ashley R; Suh, W Warren; Ulaner, Gary A; Vincoff, Nina S; Weinstein, Susan P; Slanetz, Priscilla J
As the proportion of women diagnosed with early stage breast cancer increases, the role of imaging for staging and surveillance purposes is considered. National and international guidelines discourage the use of staging imaging for asymptomatic patients newly diagnosed with stage 0 to II breast cancer, even if there is nodal involvement, as unnecessary imaging can delay care and affect outcomes. In asymptomatic patients with a history of stage I breast cancer that received treatment for curative intent, there is no role for imaging to screen for distant recurrences. However, routine surveillance with an annual mammogram is the only imaging test that should be performed to detect an in-breast recurrence or a new primary breast cancer in women with a history of stage I breast cancer. The American College of Radiology Appropriateness Criteria are evidence-based guidelines for specific clinical conditions that are reviewed annually by a multidisciplinary expert panel. The guideline development and revision include an extensive analysis of current medical literature from peer reviewed journals and the application of well-established methodologies (RAND/UCLA Appropriateness Method and Grading of Recommendations Assessment, Development, and Evaluation or GRADE) to rate the appropriateness of imaging and treatment procedures for specific clinical scenarios. In those instances where evidence is lacking or equivocal, expert opinion may supplement the available evidence to recommend imaging or treatment.
PMID: 31685110
ISSN: 1558-349x
CID: 4178012