{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,25]],"date-time":"2026-03-25T17:21:59Z","timestamp":1774459319750,"version":"3.50.1"},"reference-count":40,"publisher":"American Society of Clinical Oncology (ASCO)","issue":"12","content-domain":{"domain":["ascopubs.org"],"crossmark-restriction":true},"short-container-title":["JCO Oncol Pract"],"published-print":{"date-parts":[[2024,12]]},"abstract":"<jats:sec>\n            <jats:title>PURPOSE<\/jats:title>\n            <jats:p>Preoperative magnetic resonance imaging (MRI) after breast cancer diagnosis is increasingly used to improve locoregional staging, particularly among women with dense breasts, extensive ductal carcinoma in situ, and lobular histology. The goals of this study were to (1) assess whether use of preoperative MRI varies by race and insurance type; and (2) determine whether preoperative MRI is associated with downstream surgical management.<\/jats:p>\n          <\/jats:sec>\n          <jats:sec>\n            <jats:title>MATERIALS AND METHODS<\/jats:title>\n            <jats:p>\n              We performed a retrospective cohort study of women with stage 0-III breast cancer who were treated with surgical resection within our academic health system (2016-2019). Patients were categorized by race and insurance type. The primary outcome was receipt of preoperative MRI. Secondary outcomes included surgery extent (lumpectomy\n              <jats:italic>v<\/jats:italic>\n              mastectomy) and receipt of a second operation.\n            <\/jats:p>\n          <\/jats:sec>\n          <jats:sec>\n            <jats:title>RESULTS<\/jats:title>\n            <jats:p>\n              A total of 1,410 women (27% Black, 73% White; 67% private insurance, 26% Medicare, 6% Medicaid) were included. Black patients were significantly less likely to undergo preoperative MRI than White patients (odds ratio [OR], 0.54 [95% CI, 0.38 to 0.76];\n              <jats:italic>P<\/jats:italic>\n              &lt; .001). There was no association between insurance type and preoperative MRI (Medicare\n              <jats:italic>v<\/jats:italic>\n              private: OR, 0.77 [95% CI, 0.52 to 1.15];\n              <jats:italic>P<\/jats:italic>\n              = .208; Medicaid\n              <jats:italic>v<\/jats:italic>\n              private: OR, 0.67 [95% CI, 0.36 to 1.25];\n              <jats:italic>P<\/jats:italic>\n              = .210). White patients who underwent preoperative MRI were less likely to undergo lumpectomy versus those who did not (OR, 0.53 [95% CI, 0.37 to 0.76];\n              <jats:italic>P<\/jats:italic>\n              &lt; .001). Likelihood of re-excision was lower for Black women who had undergone MRI versus those who had not (OR, 0.43 [95% CI, 0.20 to 0.93];\n              <jats:italic>P<\/jats:italic>\n              = .031).\n            <\/jats:p>\n          <\/jats:sec>\n          <jats:sec>\n            <jats:title>CONCLUSION<\/jats:title>\n            <jats:p>Black patients were less likely than White patients to undergo preoperative MRI, yet Black women who underwent MRI were less likely to require re-excision. Standardizing preoperative MRI use may mitigate provider- and system-level biases and promote more equitable care.<\/jats:p>\n          <\/jats:sec>","DOI":"10.1200\/op.23.00831","type":"journal-article","created":{"date-parts":[[2024,7,1]],"date-time":"2024-07-01T20:01:13Z","timestamp":1719864073000},"page":"1705-1713","update-policy":"https:\/\/doi.org\/10.1200\/crossmark","source":"Crossref","is-referenced-by-count":7,"title":["Disparities in the Use of Preoperative Breast Magnetic Resonance Imaging After Breast Cancer Diagnosis"],"prefix":"10.1200","volume":"20","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1657-0617","authenticated-orcid":true,"given":"Sara P.","family":"Ginzberg","sequence":"first","affiliation":[{"name":"Department of Surgery, University of Pennsylvania Health System, Philadelphia, PA"},{"name":"Penn Center for Cancer Care Innovation, University of Pennsylvania, Philadelphia, PA"},{"name":"Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, PA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Connor B.","family":"Grady","sequence":"additional","affiliation":[{"name":"Department of Biostatistics, Epidemiology &amp; Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA"},{"name":"Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0876-975X","authenticated-orcid":true,"given":"Oluwadamilola M.","family":"Fayanju","sequence":"additional","affiliation":[{"name":"Department of Surgery, University of Pennsylvania Health System, Philadelphia, PA"},{"name":"Penn Center for Cancer Care Innovation, University of Pennsylvania, Philadelphia, PA"},{"name":"Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, PA"},{"name":"Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA"},{"name":"Rena Rowan Breast Center, Penn Medicine, Philadelphia, PA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9606-816X","authenticated-orcid":true,"given":"Christine E.","family":"Edmonds","sequence":"additional","affiliation":[{"name":"Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA"},{"name":"Department of Radiology, University of Pennsylvania Health System, Philadelphia, PA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"233","reference":[{"key":"e_1_3_8_2_2","doi-asserted-by":"publisher","DOI":"10.1097\/00004728-198603000-00005"},{"key":"e_1_3_8_3_2","doi-asserted-by":"publisher","DOI":"10.1093\/jbi\/wbac088"},{"key":"e_1_3_8_4_2","doi-asserted-by":"publisher","DOI":"10.1148\/radiol.2333031484"},{"key":"e_1_3_8_5_2","doi-asserted-by":"publisher","DOI":"10.1093\/annonc\/mds191"},{"key":"e_1_3_8_6_2","doi-asserted-by":"publisher","DOI":"10.1001\/jama.2020.0572"},{"key":"e_1_3_8_7_2","volume-title":"ACR Practice Parameter for the Performance of Contrast-Enhanced Magnetic Resonance Imaging (MRI) of the Breast","author":"American College of Radiology","unstructured":"American College of Radiology: ACR Practice Parameter for the Performance of Contrast-Enhanced Magnetic Resonance Imaging (MRI) of the Breast. https:\/\/www.acr.org\/-\/media\/acr\/files\/practice-parameters\/mr-contrast-breast.pdf"},{"key":"e_1_3_8_8_2","volume-title":"Consensus Guideline on Diagnostic and Screening Magnetic Resonance Imaging of the Breast","author":"The American Society of Breast Surgeons","unstructured":"The American Society of Breast Surgeons: Consensus Guideline on Diagnostic and Screening Magnetic Resonance Imaging of the Breast. https:\/\/www.breastsurgeons.org\/docs\/statements\/Consensus-Guideline-on-Diagnostic-and-Screening-Magnetic-Resonance-Imaging-of-the-Breast.pdf"},{"key":"e_1_3_8_9_2","doi-asserted-by":"publisher","DOI":"10.1007\/s00330-008-0863-7"},{"key":"e_1_3_8_10_2","doi-asserted-by":"publisher","DOI":"10.1002\/jso.24796"},{"key":"e_1_3_8_11_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.jamcollsurg.2009.04.010"},{"key":"e_1_3_8_12_2","doi-asserted-by":"publisher","DOI":"10.1001\/jamaoncol.2015.3018"},{"key":"e_1_3_8_13_2","doi-asserted-by":"publisher","DOI":"10.2214\/AJR.16.17038"},{"key":"e_1_3_8_14_2","doi-asserted-by":"publisher","DOI":"10.1097\/01.mlr.0000156849.15166.ec"},{"key":"e_1_3_8_15_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.jacr.2020.12.033"},{"key":"e_1_3_8_16_2","doi-asserted-by":"publisher","DOI":"10.1002\/cam4.1036"},{"key":"e_1_3_8_17_2","doi-asserted-by":"publisher","DOI":"10.1002\/cncr.29805"},{"key":"e_1_3_8_18_2","volume-title":"Mammography Quality Standards Act","author":"Food and Drug Administration. 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