scholarly journals Digital Breast Tomosynthesis Changes Management in Patients Seen at a Tertiary Care Breast Center

2014 ◽  
Vol 2014 ◽  
pp. 1-8 ◽  
Author(s):  
L. Margolies ◽  
A. Cohen ◽  
E. Sonnenblick ◽  
J. Mandeli ◽  
P. H. Schmidt ◽  
...  
Keyword(s):  
Cancer Detection ◽  
Detection Rate ◽  
Univariate Analysis ◽  
Tertiary Care ◽  
Digital Breast Tomosynthesis ◽  
Cancer Detection Rate ◽  
Breast Tomosynthesis ◽  
Full Field ◽  
Management Change ◽  
Asymptomatic Patients

Objectives. To study factors that predict changes in management with digital breast tomosynthesis (DBT). Methods. The Institutional Review Board approved this HIPAA compliant study. 996 patients had DBT with full field digital mammography (FFDM). Univariate analysis evaluated predictors of management change and cancer detection. Results. DBT changed management in 109 of 996 (11%); 77 (71%) required less imaging. Recalled patients after abnormal FFDM screen were most likely to have management change—25% (24 of 97 patients) compared to 8% (13/163) of symptomatic patients and 10% (72/736) of screening patients (P<0.001). Dense breasted patients had a higher likelihood of having DBT change management: 13% (68/526) compared to 9% (41/470) (P=0.03). Of the 996 patients, 19 (2%) were diagnosed with breast cancer. 15 cancers (83%) were seen on FFDM and DBT; 3 (17%) were diagnosed after DBT (0.3%, 95%CI: 0.1–0.9%). One recurrence was in the skin and was not seen on DBT nor was it seen on FFDM. The increase in cancer detection rate was 17% for asymptomatic patients, 0% for symptomatic patients, and 100% for recalled patients. Conclusions. DBT increased cancer detection rate by 20% and decreased the recall rate in 8–25%. Advances in Knowledge. DBT led to a doubling of the cancer detection rate in recalled patients.

scholarly journals Increased Cancer Detection Rate and Variations in the Recall Rate Resulting from Implementation of 3D Digital Breast Tomosynthesis into a Population-based Screening Program

Radiology ◽  
2016 ◽  
Vol 278 (3) ◽  
pp. 698-706 ◽  
Author(s):  
Richard E. Sharpe ◽  
Shambavi Venkataraman ◽  
Jordana Phillips ◽  
Vandana Dialani ◽  
Valerie J. Fein-Zachary ◽  
...  
Keyword(s):  
Cancer Detection ◽  
Detection Rate ◽  
Screening Program ◽  
Digital Breast Tomosynthesis ◽  
Recall Rate ◽  
Population Based ◽  
Cancer Detection Rate ◽  
Breast Tomosynthesis

scholarly journals Increased Cancer Detection Rate and Variations in the Recall Rate Resulting from Implementation of 3D Digital Breast Tomosynthesis into a Population-based Screening Program

Radiology ◽  
2016 ◽  
Vol 280 (3) ◽  
pp. 981-981 ◽  
Author(s):  
Richard E. Sharpe ◽  
Shambavi Venkataraman ◽  
Jordana Phillips ◽  
Vandana Dialani ◽  
Valerie J. Fein-Zachary ◽  
...  
Keyword(s):  
Cancer Detection ◽  
Detection Rate ◽  
Screening Program ◽  
Digital Breast Tomosynthesis ◽  
Recall Rate ◽  
Population Based ◽  
Cancer Detection Rate ◽  
Breast Tomosynthesis

scholarly journals Tomosynthesis-Guided Core Biopsy of the Breast: Why and How to Use it

2018 ◽  
Vol 8 ◽  
pp. 28 ◽  
Author(s):  
Kyungmin Shin ◽  
Davis Teichgraeber ◽  
Sarah Martaindale ◽  
Gary J Whitman
Keyword(s):  
Cancer Detection ◽  
Core Biopsy ◽  
Breast Imaging ◽  
Detection Rate ◽  
Clinical Symptoms ◽  
Digital Breast Tomosynthesis ◽  
Screening Mammography ◽  
Cancer Detection Rate ◽  
Breast Tomosynthesis

Digital breast tomosynthesis (DBT) has become an important tool in breast imaging. It decreases the call-back rate while increasing the cancer detection rate on screening mammography and is useful for diagnostic examination of noncalcified lesions and for the evaluation of patients presenting with clinical symptoms. Management challenges and dilemmas that are encountered with abnormalities detected on DBT and lacking a sonographic correlate can now be addressed with tomosynthesis-guided core biopsy.

scholarly journals 10-Year Experience in Performing Saturation Prostate Biopsy

2017 ◽  
Vol 57 (4) ◽  
pp. 430-437
Author(s):  
Luis Gabriel Villarraga ◽  
Jose Gustavo Ramos ◽  
José De La Hoz ◽  
Juan Guillermo Cataño Cataño
Keyword(s):  
Prostate Cancer ◽  
Regression Model ◽  
Cancer Detection ◽  
Prostate Biopsy ◽  
Detection Rate ◽  
Prostate Volume ◽  
Univariate Analysis ◽  
Cancer Detection Rate ◽  
Wilcoxon Test ◽  
Prostate Cancer Detection

Objective: Identify the prostate cancer detection rate in patients in whom underwenta saturation prostate biopsy as a rebiopsy from January 2005 to February 2015 at SanIgnacio Hospital. Materials and methods: In San Ignacio hospital were performedfrom January 2005 to February 2015, 114 saturation biopsies. The investigatorsmade a univariate analysis of the variables. The association between the variable wasevaluated based on the T-test and Wilcoxon test. P < 0.05 was considered statisticallysignificant. Finally, a regression model was performed to predict significant variablesfor prostate cancer. Results: The cancer detection rate using saturation prostate biopsywas 16.7% of which 84% were categorized as significant. A mean of 19 cores wereobtained. There were statistically significant differences between patients with prostatecancer and healthy patients in the number of previous biopsies, number of samples,prostate volume and PSA density. Conclusion: Saturation prostate biopsy in our studyhas a prostate cancer detection rate of 16.7% and 84% of them were significant in thiscohort of patients.

scholarly journals Screening Digital Breast Tomosynthesis: Radiation Dose Among Patients With Breast Implants

2021 ◽  
Author(s):  
Nhu Q Vu ◽  
Curran Bice ◽  
John Garrett ◽  
Colin Longhurst ◽  
Daryn Belden ◽  
...  
Keyword(s):  
Radiation Dose ◽  
Cancer Detection ◽  
Digital Breast Tomosynthesis ◽  
Breast Implants ◽  
Recall Rate ◽  
Screening Mammography ◽  
Chi Square ◽  
Breast Tomosynthesis ◽  
Full Field ◽  
Significant Difference

Abstract Objective To compare the mean glandular dose (MGD), cancer detection rate (CDR), and recall rate (RR) among screening examinations of patients with breast implants utilizing various digital breast tomosynthesis (DBT)-based imaging protocols. Methods This IRB-approved retrospective study included 1998 women with breast implants who presented for screening mammography between December 10, 2013 and May 29, 2020. Images were obtained using various protocol combinations of DBT and 2D digital mammography. Data collected included MGD, implant type and position, breast density, BI-RADS final assessment category, CDR, and RR. Statistical analysis utilized type II analysis of variance and the chi-square test. Results The highest MGD was observed in the DBT only protocol, while the 2D only protocol had the lowest (10.29 mGy vs 5.88 mGy, respectively). Statistically significant difference in MGD was observed across protocols (P &lt; 0.0001). The highest per-view MGD was among DBT full-field (FF) views in both craniocaudal and mediolateral oblique projections (P &lt; 0.0001). No significant difference was observed in RR among protocols (P = 0.17). The combined 2D (FF only) + DBT implant-displaced (ID) views protocol detected the highest number of cancers (CDR, 7.2 per 1000), but this was not significantly different across protocols (P = 0.48). Conclusion The combination of 2D FF views and DBT ID views should be considered for women with breast implants in a DBT-based screening practice when aiming to minimize radiation exposure without compromising the sensitivity of cancer detection. Avoidance of DBT FF in this patient population is recommended to minimize radiation dose.

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