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1.
Breast J ; 25(2): 250-256, 2019 03.
Article in English | MEDLINE | ID: mdl-30675929

ABSTRACT

To investigate the role of ultrasound (US) screening as an adjunct to annual mammography (M) in breast cancer detection in women with a history of lobular neoplasia (LN) diagnosed following core needle or excisional biopsy. A retrospective review of our database was performed between 11/2006 and 11/2011 to identify patients diagnosed with LN, and underwent annual screening. Patients with a lifetime risk >20% per risk modeling were excluded. The sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and cancer detection rate (CDR) of each screening test were identified. Cancer type and detection modality were recorded. A total of 100 patients who had M and/or US screening were included. Mean patient age was 54.7 years (range 33-83). All 100 patients underwent a mean of 3.9 rounds of screening M and 93 (93%) received US screening (mean 3.3 rounds). Of 93 patients who received both M and US screening, 12 (13%) were diagnosed with breast cancer. Mammographic CDR was 4%. Incremental US CDR was 6.5%. The sensitivity, specificity, and NPV for M screening alone was 33% (10%, 65%), 77% (67%, 85%), and 89% (80%, 95%), respectively. US and mammography screening had a combined sensitivity: 83% (52%, 98%), Specificity: 72% (62%, 81%), NPV: 97% (89%, 100%). Supplemental US screening resulted in a significant increase in sensitivity, yielding 6.5% incremental CDR in this high-risk patient subgroup that does not fulfill ACS high-risk MRI screening criteria.


Subject(s)
Breast Neoplasms/diagnostic imaging , Carcinoma, Lobular/diagnostic imaging , Adult , Aged , Aged, 80 and over , Breast Neoplasms/pathology , Carcinoma, Lobular/pathology , Female , Humans , Mammography , Middle Aged , Retrospective Studies , Sensitivity and Specificity , Ultrasonography, Mammary
2.
Cancer ; 123(11): 1935-1940, 2017 06 01.
Article in English | MEDLINE | ID: mdl-28135395

ABSTRACT

BACKGROUND: Women with dense mammographic breast density (BD) have a 2-fold increased risk of developing primary breast cancer (BC). The authors hypothesized that dense mammographic BD also is associated with an increased risk of developing contralateral breast cancer (CBC). METHODS: Among female patients treated at The University of Texas MD Anderson Cancer Center for sporadic, AJCC stage I to stage III BC between January 1997 and December 2012, the authors identified patients who had developed metachronous CBC (cases) and selected 1:2 matched controls who did not develop CBC using incidence density sampling, matched on attainted age, year of diagnosis, and hormone receptor status of the first BC. Mammographic BD, assessed at the time of first BC diagnosis, was categorized as "nondense" (American College of Radiology breast categories of fatty or scattered density) or "dense" (American College of Radiology categories of heterogeneously dense or extremely dense). Multivariable conditional logistic regression models were used for statistical analysis. RESULTS: A total of 229 cases and 451 controls were evaluated. Among the cases, approximately 39.3% had nondense breast tissue and 60.7% had dense breast tissue. Among controls, approximately 48.3% had nondense breast tissue and 51.7% had dense breast tissue. After adjustment for potential prognostic risk factors for BC, the odds of developing CBC were found to be significantly higher for patients with dense breasts (odds ratio, 1.80; 95% confidence interval, 1.22-2.64 [P<.01]) than for those with nondense breasts. Patients who received chemotherapy or endocrine therapy were less likely to develop CBC. CONCLUSIONS: In women with primary BC, mammographic BD appears to be a risk factor for the development of CBC. Cancer 2017;123:1935-1940. © 2017 American Cancer Society.


Subject(s)
Adenocarcinoma, Mucinous/epidemiology , Breast Density , Breast Neoplasms/epidemiology , Carcinoma, Ductal, Breast/epidemiology , Carcinoma, Lobular/epidemiology , Neoplasms, Second Primary/epidemiology , Case-Control Studies , Female , Humans , Logistic Models , Middle Aged , Odds Ratio , Prognosis , Retrospective Studies , Risk Factors
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