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Detection of Architectural Distortion in Prior Mammograms via Analysis of Oriented Patterns
Published on: August 30, 2013
Time to diagnostic resolution after an uncertain screening mammogram in an underserved population
Anita J Kumar1,2, Darcy Banco1, Elise E Steinberger1
1Institute for Clinical Research and Health Policy Studies, Tufts Medical Center, Boston, MA, USA.
Chinese patients with integrated primary care experienced timelier breast cancer diagnostic resolution after uncertain screening mammograms. This highlights the importance of primary care provider location for timely follow-up and diagnosis.
Area of Science:
- Radiology
- Oncology
- Health Services Research
Background:
- Screening mammography reduces breast cancer mortality.
- Uncertain mammograms (BI-RADS 0) require further diagnostic evaluation.
- Limited data exists on diagnostic resolution factors for Chinese patients in the US.
Purpose of the Study:
- To identify patterns of diagnostic resolution after uncertain screening mammograms.
- To evaluate the impact of primary care provider (PCP) location on diagnostic resolution time in Chinese patients.
- To compare diagnostic resolution time between Chinese patients with and without an integrated PCP.
Main Methods:
- Retrospective analysis of 368 patients with BI-RADS 0 mammograms from 2015-2016.
- Evaluation of diagnostic resolution time and associated factors.
- Multivariable regression analysis adjusting for demographic and clinical factors.
Main Results:
- 93% of patients achieved diagnostic resolution, with a median time of 27 days.
- Chinese origin, non-integrated PCP, and subsidized insurance were associated with longer resolution times.
- Chinese patients with an integrated PCP had timelier diagnostic resolution (HR=1.85, P=.02).
Conclusions:
- Integrated primary care within an institution is associated with timelier diagnostic resolution for Chinese patients.
- Chinese patients without integrated primary care are at risk for delayed diagnosis after uncertain screening mammograms.
- Interventions should target at-risk patients to ensure follow-up and prevent loss to care.
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