Outcomes of Abbreviated MRI (Ab-MRI) for Women of any Breast Cancer Risk and Breast Density in a Community Academic Setting
Background Abbreviated magnetic resonance imaging (Ab-MRI) has been evaluated for elevated breast cancer risk or dense breasts but has not been evaluated across all risk profiles. Methods Patients selected underwent Ab-MRI from February 2020 to September 2021. Women were older than aged 30 years, up...
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Veröffentlicht in: | Annals of surgical oncology 2022-10, Vol.29 (10), p.6215-6221 |
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creator | Kennard, Kaitlyn Wang, Olivia Kjelstrom, Stephanie Larson, Sharon Sizer, Lina M. Carruthers, Catherine Carter, William B. Ciocca, Robin Sabol, Jennifer Frazier, Thomas G. Carp, Ned Z. |
description | Background
Abbreviated magnetic resonance imaging (Ab-MRI) has been evaluated for elevated breast cancer risk or dense breasts but has not been evaluated across all risk profiles.
Methods
Patients selected underwent Ab-MRI from February 2020 to September 2021. Women were older than aged 30 years, up to date with screening mammography, and paid $299 cash.
Results
A total of 93 patients were identified with a mean age of 52 years; 92.5% were Caucasian, 0% black, and 97.9% were from high socioeconomic status. Mean Gail score was 14.2, and 83.3% had a lifetime risk of breast cancer |
doi_str_mv | 10.1245/s10434-022-12194-9 |
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Abbreviated magnetic resonance imaging (Ab-MRI) has been evaluated for elevated breast cancer risk or dense breasts but has not been evaluated across all risk profiles.
Methods
Patients selected underwent Ab-MRI from February 2020 to September 2021. Women were older than aged 30 years, up to date with screening mammography, and paid $299 cash.
Results
A total of 93 patients were identified with a mean age of 52 years; 92.5% were Caucasian, 0% black, and 97.9% were from high socioeconomic status. Mean Gail score was 14.2, and 83.3% had a lifetime risk of breast cancer <20%. Reasons for Ab-MRI: dense breasts (36.6%); family history (24.7%); palpable mass (12.9%). Providers ordering: OBGYN (49.5%); breast surgeon (39.1%); primary care (6.6%). Thirteen biopsies (14%) detected one breast cancer. 31.1% had a change in follow-up screening: 58.6% 6-month MRI, 20.7% 6-month mammogram, and 10.3% 6-month ultrasound. Negative predictive value was 100% (95% confidence interval [CI]: 95-100%,
p
< 0.0001). Sensitivity was 100% (95% CI: 2.5-100%,
p
< 0.0001), and specificity was 87% (95% CI: 78.3-93.1%,
p
< 0.0001) compared with 77.6% and 98.8% for mammography. Only one cancer was detected: cost of $27,807 plus cost of 13 MRI or ultrasound (US)-guided biopsies and additional follow-up imaging. Historically 20% of abnormalities detected on full MRI are malignant; however, 7.7% of ab-MRI abnormalities were malignant
Conclusions
One third of women were recommended a change in follow-up, which predominantly included a 6-month MRI. Ab-MRI may introduce average risk women to unnecessary follow-up and increased biopsies with a lower cancer detection rate. Ab-MRI should be evaluated closely before implementation.</description><identifier>ISSN: 1068-9265</identifier><identifier>EISSN: 1534-4681</identifier><identifier>DOI: 10.1245/s10434-022-12194-9</identifier><language>eng</language><publisher>Cham: Springer International Publishing</publisher><subject>Biopsy ; Breast cancer ; Breast Oncology ; Magnetic resonance imaging ; Mammography ; Medicine ; Medicine & Public Health ; Oncology ; Primary care ; Surgery ; Surgical Oncology ; Ultrasonic imaging ; Ultrasound</subject><ispartof>Annals of surgical oncology, 2022-10, Vol.29 (10), p.6215-6221</ispartof><rights>Society of Surgical Oncology 2022</rights><rights>Society of Surgical Oncology 2022.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c352t-1bf6b70909bbb369c4b43615f9f3e0adca56d0c00c7ea6a159eae6eececfe4aa3</citedby><cites>FETCH-LOGICAL-c352t-1bf6b70909bbb369c4b43615f9f3e0adca56d0c00c7ea6a159eae6eececfe4aa3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1245/s10434-022-12194-9$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1245/s10434-022-12194-9$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,780,784,27924,27925,41488,42557,51319</link.rule.ids></links><search><creatorcontrib>Kennard, Kaitlyn</creatorcontrib><creatorcontrib>Wang, Olivia</creatorcontrib><creatorcontrib>Kjelstrom, Stephanie</creatorcontrib><creatorcontrib>Larson, Sharon</creatorcontrib><creatorcontrib>Sizer, Lina M.</creatorcontrib><creatorcontrib>Carruthers, Catherine</creatorcontrib><creatorcontrib>Carter, William B.</creatorcontrib><creatorcontrib>Ciocca, Robin</creatorcontrib><creatorcontrib>Sabol, Jennifer</creatorcontrib><creatorcontrib>Frazier, Thomas G.</creatorcontrib><creatorcontrib>Carp, Ned Z.</creatorcontrib><title>Outcomes of Abbreviated MRI (Ab-MRI) for Women of any Breast Cancer Risk and Breast Density in a Community Academic Setting</title><title>Annals of surgical oncology</title><addtitle>Ann Surg Oncol</addtitle><description>Background
Abbreviated magnetic resonance imaging (Ab-MRI) has been evaluated for elevated breast cancer risk or dense breasts but has not been evaluated across all risk profiles.
Methods
Patients selected underwent Ab-MRI from February 2020 to September 2021. Women were older than aged 30 years, up to date with screening mammography, and paid $299 cash.
Results
A total of 93 patients were identified with a mean age of 52 years; 92.5% were Caucasian, 0% black, and 97.9% were from high socioeconomic status. Mean Gail score was 14.2, and 83.3% had a lifetime risk of breast cancer <20%. Reasons for Ab-MRI: dense breasts (36.6%); family history (24.7%); palpable mass (12.9%). Providers ordering: OBGYN (49.5%); breast surgeon (39.1%); primary care (6.6%). Thirteen biopsies (14%) detected one breast cancer. 31.1% had a change in follow-up screening: 58.6% 6-month MRI, 20.7% 6-month mammogram, and 10.3% 6-month ultrasound. Negative predictive value was 100% (95% confidence interval [CI]: 95-100%,
p
< 0.0001). Sensitivity was 100% (95% CI: 2.5-100%,
p
< 0.0001), and specificity was 87% (95% CI: 78.3-93.1%,
p
< 0.0001) compared with 77.6% and 98.8% for mammography. Only one cancer was detected: cost of $27,807 plus cost of 13 MRI or ultrasound (US)-guided biopsies and additional follow-up imaging. Historically 20% of abnormalities detected on full MRI are malignant; however, 7.7% of ab-MRI abnormalities were malignant
Conclusions
One third of women were recommended a change in follow-up, which predominantly included a 6-month MRI. Ab-MRI may introduce average risk women to unnecessary follow-up and increased biopsies with a lower cancer detection rate. Ab-MRI should be evaluated closely before implementation.</description><subject>Biopsy</subject><subject>Breast cancer</subject><subject>Breast Oncology</subject><subject>Magnetic resonance imaging</subject><subject>Mammography</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Oncology</subject><subject>Primary care</subject><subject>Surgery</subject><subject>Surgical Oncology</subject><subject>Ultrasonic imaging</subject><subject>Ultrasound</subject><issn>1068-9265</issn><issn>1534-4681</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><recordid>eNp9kd1LwzAUxYsoOKf_gE8BX-ZDNR9tujzW-TWYDKbiY0jS29G5pjNpheE_b2YVwQefbnL4ncPlnig6JfiC0CS99AQnLIkxpTGhRCSx2IsGJA1SwsdkP7wxH8eC8vQwOvJ-hTHJGE4H0ce8a01Tg0dNiXKtHbxXqoUCPSymaJTrOMxzVDYOvQTK7ihlt-jKgfItmihrwKFF5V-DXPzI12B91W5RZZFCk6auO7v75kYVUFcGPULbVnZ5HB2Uau3h5HsOo-fbm6fJfTyb300n-Sw2LKVtTHTJdYYFFlprxoVJdMI4SUtRMsCqMCrlBTYYmwwUVyQVoIADGDAlJEqxYTTqczeueevAt7KuvIH1WlloOi8pFxRnIZIF9OwPumo6Z8N2kmbhsuFsYxIo2lPGNd47KOXGVbVyW0mw3PUh-z5k6EN-9SFFMLHe5ANsl-B-o_9xfQJ6oo08</recordid><startdate>20221001</startdate><enddate>20221001</enddate><creator>Kennard, Kaitlyn</creator><creator>Wang, Olivia</creator><creator>Kjelstrom, Stephanie</creator><creator>Larson, Sharon</creator><creator>Sizer, Lina M.</creator><creator>Carruthers, Catherine</creator><creator>Carter, William B.</creator><creator>Ciocca, Robin</creator><creator>Sabol, Jennifer</creator><creator>Frazier, Thomas G.</creator><creator>Carp, Ned Z.</creator><general>Springer International Publishing</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7TO</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>H94</scope><scope>K9.</scope><scope>M0S</scope><scope>M1P</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>7X8</scope></search><sort><creationdate>20221001</creationdate><title>Outcomes of Abbreviated MRI (Ab-MRI) for Women of any Breast Cancer Risk and Breast Density in a Community Academic Setting</title><author>Kennard, Kaitlyn ; Wang, Olivia ; Kjelstrom, Stephanie ; Larson, Sharon ; Sizer, Lina M. ; Carruthers, Catherine ; Carter, William B. ; Ciocca, Robin ; Sabol, Jennifer ; Frazier, Thomas G. ; Carp, Ned Z.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c352t-1bf6b70909bbb369c4b43615f9f3e0adca56d0c00c7ea6a159eae6eececfe4aa3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Biopsy</topic><topic>Breast cancer</topic><topic>Breast Oncology</topic><topic>Magnetic resonance imaging</topic><topic>Mammography</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Oncology</topic><topic>Primary care</topic><topic>Surgery</topic><topic>Surgical Oncology</topic><topic>Ultrasonic imaging</topic><topic>Ultrasound</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Kennard, Kaitlyn</creatorcontrib><creatorcontrib>Wang, Olivia</creatorcontrib><creatorcontrib>Kjelstrom, Stephanie</creatorcontrib><creatorcontrib>Larson, Sharon</creatorcontrib><creatorcontrib>Sizer, Lina M.</creatorcontrib><creatorcontrib>Carruthers, Catherine</creatorcontrib><creatorcontrib>Carter, William B.</creatorcontrib><creatorcontrib>Ciocca, Robin</creatorcontrib><creatorcontrib>Sabol, Jennifer</creatorcontrib><creatorcontrib>Frazier, Thomas G.</creatorcontrib><creatorcontrib>Carp, Ned Z.</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Oncogenes and Growth Factors Abstracts</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>MEDLINE - Academic</collection><jtitle>Annals of surgical oncology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Kennard, Kaitlyn</au><au>Wang, Olivia</au><au>Kjelstrom, Stephanie</au><au>Larson, Sharon</au><au>Sizer, Lina M.</au><au>Carruthers, Catherine</au><au>Carter, William B.</au><au>Ciocca, Robin</au><au>Sabol, Jennifer</au><au>Frazier, Thomas G.</au><au>Carp, Ned Z.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Outcomes of Abbreviated MRI (Ab-MRI) for Women of any Breast Cancer Risk and Breast Density in a Community Academic Setting</atitle><jtitle>Annals of surgical oncology</jtitle><stitle>Ann Surg Oncol</stitle><date>2022-10-01</date><risdate>2022</risdate><volume>29</volume><issue>10</issue><spage>6215</spage><epage>6221</epage><pages>6215-6221</pages><issn>1068-9265</issn><eissn>1534-4681</eissn><abstract>Background
Abbreviated magnetic resonance imaging (Ab-MRI) has been evaluated for elevated breast cancer risk or dense breasts but has not been evaluated across all risk profiles.
Methods
Patients selected underwent Ab-MRI from February 2020 to September 2021. Women were older than aged 30 years, up to date with screening mammography, and paid $299 cash.
Results
A total of 93 patients were identified with a mean age of 52 years; 92.5% were Caucasian, 0% black, and 97.9% were from high socioeconomic status. Mean Gail score was 14.2, and 83.3% had a lifetime risk of breast cancer <20%. Reasons for Ab-MRI: dense breasts (36.6%); family history (24.7%); palpable mass (12.9%). Providers ordering: OBGYN (49.5%); breast surgeon (39.1%); primary care (6.6%). Thirteen biopsies (14%) detected one breast cancer. 31.1% had a change in follow-up screening: 58.6% 6-month MRI, 20.7% 6-month mammogram, and 10.3% 6-month ultrasound. Negative predictive value was 100% (95% confidence interval [CI]: 95-100%,
p
< 0.0001). Sensitivity was 100% (95% CI: 2.5-100%,
p
< 0.0001), and specificity was 87% (95% CI: 78.3-93.1%,
p
< 0.0001) compared with 77.6% and 98.8% for mammography. Only one cancer was detected: cost of $27,807 plus cost of 13 MRI or ultrasound (US)-guided biopsies and additional follow-up imaging. Historically 20% of abnormalities detected on full MRI are malignant; however, 7.7% of ab-MRI abnormalities were malignant
Conclusions
One third of women were recommended a change in follow-up, which predominantly included a 6-month MRI. Ab-MRI may introduce average risk women to unnecessary follow-up and increased biopsies with a lower cancer detection rate. Ab-MRI should be evaluated closely before implementation.</abstract><cop>Cham</cop><pub>Springer International Publishing</pub><doi>10.1245/s10434-022-12194-9</doi><tpages>7</tpages></addata></record> |
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subjects | Biopsy Breast cancer Breast Oncology Magnetic resonance imaging Mammography Medicine Medicine & Public Health Oncology Primary care Surgery Surgical Oncology Ultrasonic imaging Ultrasound |
title | Outcomes of Abbreviated MRI (Ab-MRI) for Women of any Breast Cancer Risk and Breast Density in a Community Academic Setting |
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