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Factors Associated with Optimal Follow-up in Women with BI-RADS 3 Breast Findings
OBJECTIVE: Assess rate of and factors associated with optimal follow-up in patients with BI-RADS 3 breast findings. METHODS: This Institutional Review Board-approved, retrospective cohort study, performed at an academic medical center, included all women undergoing breast imaging (ultrasound and mam...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7509994/ https://www.ncbi.nlm.nih.gov/pubmed/31669081 http://dx.doi.org/10.1016/j.jacr.2019.10.003 |
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author | Lacson, Ronilda Wang, Aijia Cochon, Laila Giess, Catherine Desai, Sonali Eappen, Sunil Khorasani, Ramin |
author_facet | Lacson, Ronilda Wang, Aijia Cochon, Laila Giess, Catherine Desai, Sonali Eappen, Sunil Khorasani, Ramin |
author_sort | Lacson, Ronilda |
collection | PubMed |
description | OBJECTIVE: Assess rate of and factors associated with optimal follow-up in patients with BI-RADS 3 breast findings. METHODS: This Institutional Review Board-approved, retrospective cohort study, performed at an academic medical center, included all women undergoing breast imaging (ultrasound and mammography) in 2016. Index reports for unique patients with an assessment of BI-RADS 3 (retrieved via natural language processing) comprised the study population. Patient-specific and provider-related features were extracted from the Research Data Warehouse. The Institutional Cancer Registry identified patients diagnosed with breast cancer. Optimal follow-up rate was calculated as patients with follow-up imaging on the same breast 3–9 months from the index exam among patients with BI-RADS 3 assessments. Univariate analysis and multivariable logistic regression determined features associated with optimal follow-up. Malignancy rate and time to malignancy detection was recorded. RESULTS: Among 93,685 breast imaging exams, 64,771 were from unique patients of which 2,967 had BI-RADS 3 findings (4.6%). Excluding patients with off-site index exams and those with another breast exam <3 months from the index, 1,125 of 1,511 patients (74%) had optimal follow-up. In univariate and multivariable analysis, prior breast cancer was associated with optimal follow-up; younger age, Hispanic ethnicity, divorced status, and lack of insurance with not having optimal follow-up. Malignancy rate=0.86%; mean time to detection=330 days. DISCUSSION: Follow-up of BI-RADS 3 breast imaging findings is optimal in only 74% of women. Further interventions to promote follow-up should target younger, unmarried women, those with Hispanic ethnicity, and women without history of breast cancer and without insurance coverage. |
format | Online Article Text |
id | pubmed-7509994 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
record_format | MEDLINE/PubMed |
spelling | pubmed-75099942021-04-01 Factors Associated with Optimal Follow-up in Women with BI-RADS 3 Breast Findings Lacson, Ronilda Wang, Aijia Cochon, Laila Giess, Catherine Desai, Sonali Eappen, Sunil Khorasani, Ramin J Am Coll Radiol Article OBJECTIVE: Assess rate of and factors associated with optimal follow-up in patients with BI-RADS 3 breast findings. METHODS: This Institutional Review Board-approved, retrospective cohort study, performed at an academic medical center, included all women undergoing breast imaging (ultrasound and mammography) in 2016. Index reports for unique patients with an assessment of BI-RADS 3 (retrieved via natural language processing) comprised the study population. Patient-specific and provider-related features were extracted from the Research Data Warehouse. The Institutional Cancer Registry identified patients diagnosed with breast cancer. Optimal follow-up rate was calculated as patients with follow-up imaging on the same breast 3–9 months from the index exam among patients with BI-RADS 3 assessments. Univariate analysis and multivariable logistic regression determined features associated with optimal follow-up. Malignancy rate and time to malignancy detection was recorded. RESULTS: Among 93,685 breast imaging exams, 64,771 were from unique patients of which 2,967 had BI-RADS 3 findings (4.6%). Excluding patients with off-site index exams and those with another breast exam <3 months from the index, 1,125 of 1,511 patients (74%) had optimal follow-up. In univariate and multivariable analysis, prior breast cancer was associated with optimal follow-up; younger age, Hispanic ethnicity, divorced status, and lack of insurance with not having optimal follow-up. Malignancy rate=0.86%; mean time to detection=330 days. DISCUSSION: Follow-up of BI-RADS 3 breast imaging findings is optimal in only 74% of women. Further interventions to promote follow-up should target younger, unmarried women, those with Hispanic ethnicity, and women without history of breast cancer and without insurance coverage. 2019-10-26 2020-04 /pmc/articles/PMC7509994/ /pubmed/31669081 http://dx.doi.org/10.1016/j.jacr.2019.10.003 Text en This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/ |
spellingShingle | Article Lacson, Ronilda Wang, Aijia Cochon, Laila Giess, Catherine Desai, Sonali Eappen, Sunil Khorasani, Ramin Factors Associated with Optimal Follow-up in Women with BI-RADS 3 Breast Findings |
title | Factors Associated with Optimal Follow-up in Women with BI-RADS 3 Breast Findings |
title_full | Factors Associated with Optimal Follow-up in Women with BI-RADS 3 Breast Findings |
title_fullStr | Factors Associated with Optimal Follow-up in Women with BI-RADS 3 Breast Findings |
title_full_unstemmed | Factors Associated with Optimal Follow-up in Women with BI-RADS 3 Breast Findings |
title_short | Factors Associated with Optimal Follow-up in Women with BI-RADS 3 Breast Findings |
title_sort | factors associated with optimal follow-up in women with bi-rads 3 breast findings |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7509994/ https://www.ncbi.nlm.nih.gov/pubmed/31669081 http://dx.doi.org/10.1016/j.jacr.2019.10.003 |
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