Added Value of Prereading Screening Mammograms for Breast Cancer by Radiologic Technologists on Early Screening Outcomes

Radiology ◽  
2021 ◽  
Author(s):  
Tanya D. Geertse ◽  
Wikke Setz-Pels ◽  
Daniëlle van der Waal ◽  
Joost Nederend ◽  
Bram Korte ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Added Value ◽  
Early Screening ◽  
Radiologic Technologists ◽  
Screening Mammograms

scholarly journals MRI-Based Radiomics Analysis for the Pretreatment Prediction of Pathologic Complete Tumor Response to Neoadjuvant Systemic Therapy in Breast Cancer Patients: A Multicenter Study

Cancers ◽  
2021 ◽  
Vol 13 (10) ◽  
pp. 2447
Author(s):  
Renée W. Y. Granzier ◽  
Abdalla Ibrahim ◽  
Sergey P. Primakov ◽  
Sanaz Samiei ◽  
Thiemo J. A. van Nijnatten ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Cancer Patients ◽  
Systemic Therapy ◽  
Tumor Response ◽  
Added Value ◽  
Breast Cancer Patients ◽  
Neoadjuvant Systemic Therapy ◽  
Clinical Models ◽  
Combined Models ◽  
Complete Tumor

This retrospective study investigated the value of pretreatment contrast-enhanced Magnetic Resonance Imaging (MRI)-based radiomics for the prediction of pathologic complete tumor response to neoadjuvant systemic therapy in breast cancer patients. A total of 292 breast cancer patients, with 320 tumors, who were treated with neo-adjuvant systemic therapy and underwent a pretreatment MRI exam were enrolled. As the data were collected in two different hospitals with five different MRI scanners and varying acquisition protocols, three different strategies to split training and validation datasets were used. Radiomics, clinical, and combined models were developed using random forest classifiers in each strategy. The analysis of radiomics features had no added value in predicting pathologic complete tumor response to neoadjuvant systemic therapy in breast cancer patients compared with the clinical models, nor did the combined models perform significantly better than the clinical models. Further, the radiomics features selected for the models and their performance differed with and within the different strategies. Due to previous and current work, we tentatively attribute the lack of improvement in clinical models following the addition of radiomics to the effects of variations in acquisition and reconstruction parameters. The lack of reproducibility data (i.e., test-retest or similar) meant that this effect could not be analyzed. These results indicate the need for reproducibility studies to preselect reproducible features in order to properly assess the potential of radiomics.

Evaluation of Patterns in Access to Breast Cancer Care and Breast Cancer Presentation in a Safety Net Patient Population

2021 ◽  
pp. 000313482096628
Author(s):  
Erica Choe ◽  
Hayoung Park ◽  
Ma’at Hembrick ◽  
Christine Dauphine ◽  
Junko Ozao-Choy
Keyword(s):  
Breast Cancer ◽  
Cancer Screening ◽  
Breast Cancer Screening ◽  
Cancer Care ◽  
Patient Population ◽  
Safety Net ◽  
Minority Women ◽  
Breast Cancer Care ◽  
Safety Net Hospital ◽  
Screening Mammograms

Background While prior studies have shown the apparent health disparities in breast cancer diagnosis and treatment, there is a gap in knowledge with respect to access to breast cancer care among minority women. Methods We performed a retrospective analysis of patients with newly diagnosed breast cancer from 2014 to 2016 to evaluate how patients presented and accessed cancer care services in our urban safety net hospital. Patient demographics, cancer stage, history of breast cancer screening, and process of referral to cancer care were collected and analyzed. Results Of the 202 patients identified, 61 (30%) patients were younger than the age of 50 and 75 (63%) were of racial minority background. Only 39% of patients with a new breast cancer were diagnosed on screening mammogram. Women younger than the age of 50 ( P < .001) and minority women ( P < .001) were significantly less likely to have had any prior screening mammograms. Furthermore, in patients who met the screening guideline age, more than half did not have prior screening mammograms. Discussion Future research should explore how to improve breast cancer screening rates within our county patient population and the potential need for revision of screening guidelines for minority patients.

scholarly journals Added value of blue dye injection in sentinel node biopsy of breast cancer patients: Do all patients need blue dye?

2014 ◽  
Vol 12 (4) ◽  
pp. 325-328 ◽  
Author(s):  
Ramin Sadeghi ◽  
Ghazaleh Alesheikh ◽  
Seyed Rasoul Zakavi ◽  
Asiehsadat Fattahi ◽  
Abbas Abdollahi ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Sentinel Node ◽  
Cancer Patients ◽  
Sentinel Node Biopsy ◽  
Added Value ◽  
Blue Dye ◽  
Breast Cancer Patients ◽  
Node Biopsy

scholarly journals Radiologic Technologist and Radiologist Knowledge Gaps about Breast Density Revealed by an Online Continuing Education Course

2020 ◽  
Vol 2 (4) ◽  
pp. 315-329 ◽  
Author(s):  
Robin L Seitzman ◽  
JoAnn Pushkin ◽  
Wendie A Berg
Keyword(s):  
Breast Cancer ◽  
Breast Cancer Risk ◽  
Cancer Risk ◽  
Continuing Education ◽  
Breast Density ◽  
Cancer Risk Assessment ◽  
Knowledge Gaps ◽  
Radiologic Technologists ◽  
Breast Cancer Risk Assessment ◽  
Post Test

Abstract Objective We sought to identify provider knowledge gaps and their predictors, as revealed by a breast density continuing education course marketed to the radiology community. Methods The course, continually available online during the study period of November 2, 2016 and December 31, 2018, includes demographics collection; a monograph on breast density, breast cancer risk, and screening; and a post-test. Four post-test questions were modified during the study period, resulting in different sample sizes pre- and postmodification. Multiple logistic regression was used to identify predictors of knowledge gaps (defined as &gt; 25% of responses incorrect). Results Of 1649 analyzable registrants, 1363 (82.7%) were radiologic technologists, 226 (13.7%) were physicians, and 60 (3.6%) were other nonphysicians; over 90% of physicians and over 90% of technologists/nonphysicians specialized in radiology. Sixteen of 49 physicians (32.7%) and 80/233 (34.3%) technologists/nonphysicians mistakenly thought the Gail model should be used to determine “high-risk” status for recommending MRI or genetic testing. Ninety-nine of 226 (43.8%) physicians and 682/1423 (47.9%) technologists/nonphysicians misunderstood the inverse relationship between increasing age and lifetime breast cancer risk. Fifty-two of 166 (31.3%) physicians and 549/1151 (47.7%) technologists/nonphysicians were unaware that MRI should be recommended for women with a family history of BRCA1/BRCA2 mutations. Tomosynthesis effectiveness was overestimated, with 18/60 (30.0%) physicians and 95/272 (34.9%) technologists/nonphysicians believing sensitivity nearly equaled MRI. Knowledge gaps were more common in technologists/nonphysicians. Conclusions Important knowledge gaps about breast density, breast cancer risk assessment, and screening exist among radiologic technologists and radiologists. Continued education efforts may improve appropriate breast cancer screening recommendations.

scholarly journals The value of mammography in women with focal breast complaints in addition to initial targeted ultrasound

2020 ◽  
Author(s):  
L. Appelman ◽  
P. T. M. Appelman ◽  
C. C. N. Siebers ◽  
P. Bult ◽  
H. L. S. Go ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Breast Imaging ◽  
Digital Breast Tomosynthesis ◽  
Breast Disease ◽  
Added Value ◽  
Breast Tomosynthesis ◽  
Targeted Ultrasound ◽  
Symptomatic Breast Cancer ◽  
Symptomatic Breast

Abstract Purpose To determine the added value of mammography in women with focal breast complaints and the utility of initial targeted ultrasound in this setting. Methods Women with symptomatic breast disease who were evaluated by breast imaging (mammography/digital breast tomosynthesis and ultrasound) between January 2016 and December 2016 in the Radboud University Medical Centre were included. We retrospectively collected the following data: date of birth, indication of imaging, visibility on mammography/ultrasound, whether biopsy was taken, additional findings, BI-RADS-classification, pathology and follow-up results. Results A total of 494 women were included (mean age 46.5, range 30 to 93). In 49 women (9.9%), symptomatic breast cancer was diagnosed, all visible during targeted ultrasound. The negative predictive value of targeted ultrasound was very high (99.8%). Additional findings on mammography were significantly more often malignant when the symptomatic lesion was also malignant (3.8% vs 70%, P < 0.05). In only one patient with symptoms caused by a benign finding, an incidental malignancy was detected on mammography outside the area of complaint (detection rate 2.2/1000 examinations). Conclusions The contribution of mammography for cancer detection in women with focal breast complaints is very low when targeted ultrasound is performed. Additional findings are most common in patients with symptomatic breast cancer. Our results suggest that initial targeted ultrasound is a more appropriate initial tool for the evaluation of focal breast complaints. Mammography could be performed on indication only.

Beyond BRCA: Review of Hereditary Syndromes Predisposing to Breast Cancer

2019 ◽  
Vol 1 (2) ◽  
pp. 84-91
Author(s):  
Jonathan V Nguyen ◽  
Martha H Thomas
Keyword(s):  
Breast Cancer ◽  
At Risk ◽  
Cancer Screening ◽  
Risk Reduction ◽  
Breast Cancer Screening ◽  
Hereditary Breast Cancer ◽  
Cancer Genes ◽  
Her Family ◽  
Increased Risk ◽  
Screening Mammograms

Abstract The majority of our hereditary breast cancer genes incur not only an increased risk for breast cancer but for other malignancies as well. Knowing whether an individual carries a pathogenic variant in a hereditary breast cancer gene can affect not only screening for the patient but for his or her family members as well. Identifying and appropriately testing individuals via multigene panels allows for risk reduction and early surveillance in at-risk individuals. Radiologists can serve as first-line identifiers of women who are at risk of having an inherited predisposition to breast cancer because they are interacting with all women receiving routine screening mammograms, and collecting family history suggestive of the presence of a mutation. We outline here the 11 genes associated with high breast cancer risk discussed in the National Comprehensive Cancer Network Genetic/Familial High-Risk: Breast and Ovarian (version 3.2019) as having additional breast cancer screening recommendations outside of annual mammography to serve as a guide for breast cancer screening and risk reduction, as well as recommendations for surveillance of nonbreast cancers.

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