Predictive Factors for Breast Cancer in Patients Diagnosed with Ductal Intraepithelial Neoplasia, Grade 1B
For ductal intraepithelial neoplasia, grade 1B, studies that predict breast cancer risk after an 11-gauge vacuum-assisted breast biopsy have yielded contradictory results. In order to identify a predictive model of breast cancer risk, we assessed the underestimation rate according to radiological an...
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| Veröffentlicht in: | Anticancer research 2012-08, Vol.32 (8), p.3571-3579 |
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| creator | BENDIFALLAH, S CHABBERT-BUFFET, N MAURIN, N CHOPIER, J ANTOINE, M BEZU, C UZAN, S ROUZIER, R |
| description | For ductal intraepithelial neoplasia, grade 1B, studies that predict breast cancer risk after an 11-gauge vacuum-assisted breast biopsy have yielded contradictory results. In order to identify a predictive model of breast cancer risk, we assessed the underestimation rate according to radiological and clinical findings.
Our study involved 212 patients. We compared the area under the receiver operating characteristic curves and the clinical utility of a logistic regression and partitioning model.
Overall upgrade to malignancy occurred in 42 (19.8%) out of the 212 cases. The area under the curve for the logistic regression and partitioning model were 0.65 (95% confidence interval=0.61-0.70) and 0.58 (95% confidence interval=0.54-0.62), respectively. The lowest predicted underestimation rate obtained with the logistic regression model was 9.5%.
From this large series, we were unable to define any accurate safety model for breast cancer. Surgery should be thus recommended. |
| format | Article |
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Our study involved 212 patients. We compared the area under the receiver operating characteristic curves and the clinical utility of a logistic regression and partitioning model.
Overall upgrade to malignancy occurred in 42 (19.8%) out of the 212 cases. The area under the curve for the logistic regression and partitioning model were 0.65 (95% confidence interval=0.61-0.70) and 0.58 (95% confidence interval=0.54-0.62), respectively. The lowest predicted underestimation rate obtained with the logistic regression model was 9.5%.
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Our study involved 212 patients. We compared the area under the receiver operating characteristic curves and the clinical utility of a logistic regression and partitioning model.
Overall upgrade to malignancy occurred in 42 (19.8%) out of the 212 cases. The area under the curve for the logistic regression and partitioning model were 0.65 (95% confidence interval=0.61-0.70) and 0.58 (95% confidence interval=0.54-0.62), respectively. The lowest predicted underestimation rate obtained with the logistic regression model was 9.5%.
From this large series, we were unable to define any accurate safety model for breast cancer. Surgery should be thus recommended.</description><subject>Biological and medical sciences</subject><subject>Breast Neoplasms - pathology</subject><subject>Carcinoma in Situ - pathology</subject><subject>Carcinoma, Ductal, Breast - pathology</subject><subject>Carcinoma, Intraductal, Noninfiltrating - pathology</subject><subject>Female</subject><subject>Gynecology. Andrology. Obstetrics</subject><subject>Humans</subject><subject>Logistic Models</subject><subject>Mammary gland diseases</subject><subject>Medical sciences</subject><subject>Middle Aged</subject><subject>Neoplasm Grading</subject><subject>Prognosis</subject><subject>Risk Factors</subject><subject>Tumors</subject><issn>0250-7005</issn><issn>1791-7530</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2012</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNpF0E1Lw0AQBuBFFFurf0H2IngwsF_ZTY62tbVQtAc9h8lmolvSJO5uFP-9ASuehpn3YQ7vCZlyk_PEpJKdkikTKUsMY-mEXISwZ0zrPJPnZCJEpmSusinZ7zxWzkb3iXQFNnY-0LrzdO4RQqQLaC166lq6g-iwjYEuHby1XcCKfrn4TpeDjdDQTRs9YD9esHHj_oRd30BwcEfXHiqkfH5JzmpoAl4d54y8rh5eFo_J9nm9Wdxvk14oHhPFamQMscq1KFOUmukUOIBUpRHSCD1mTNVaW1nlqoTSMqNThTKveWZrKWfk9vdv77uPAUMsDi5YbBposRtCwZlkUuU6MyO9PtKhPGBV9N4dwH8Xf_2M4OYIIFhoaj_24cK_0zxlUhj5A3N-bwo</recordid><startdate>20120801</startdate><enddate>20120801</enddate><creator>BENDIFALLAH, S</creator><creator>CHABBERT-BUFFET, N</creator><creator>MAURIN, N</creator><creator>CHOPIER, J</creator><creator>ANTOINE, M</creator><creator>BEZU, C</creator><creator>UZAN, S</creator><creator>ROUZIER, R</creator><general>International Institute of Anticancer Research</general><scope>IQODW</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>7X8</scope></search><sort><creationdate>20120801</creationdate><title>Predictive Factors for Breast Cancer in Patients Diagnosed with Ductal Intraepithelial Neoplasia, Grade 1B</title><author>BENDIFALLAH, S ; CHABBERT-BUFFET, N ; MAURIN, N ; CHOPIER, J ; ANTOINE, M ; BEZU, C ; UZAN, S ; ROUZIER, R</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-p241t-40fe00eed962b5e36065a1aa34b7237260ee04f66c3d94babc07654e39f18cf33</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2012</creationdate><topic>Biological and medical sciences</topic><topic>Breast Neoplasms - pathology</topic><topic>Carcinoma in Situ - pathology</topic><topic>Carcinoma, Ductal, Breast - pathology</topic><topic>Carcinoma, Intraductal, Noninfiltrating - pathology</topic><topic>Female</topic><topic>Gynecology. Andrology. Obstetrics</topic><topic>Humans</topic><topic>Logistic Models</topic><topic>Mammary gland diseases</topic><topic>Medical sciences</topic><topic>Middle Aged</topic><topic>Neoplasm Grading</topic><topic>Prognosis</topic><topic>Risk Factors</topic><topic>Tumors</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>BENDIFALLAH, S</creatorcontrib><creatorcontrib>CHABBERT-BUFFET, N</creatorcontrib><creatorcontrib>MAURIN, N</creatorcontrib><creatorcontrib>CHOPIER, J</creatorcontrib><creatorcontrib>ANTOINE, M</creatorcontrib><creatorcontrib>BEZU, C</creatorcontrib><creatorcontrib>UZAN, S</creatorcontrib><creatorcontrib>ROUZIER, R</creatorcontrib><collection>Pascal-Francis</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>MEDLINE - Academic</collection><jtitle>Anticancer research</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>BENDIFALLAH, S</au><au>CHABBERT-BUFFET, N</au><au>MAURIN, N</au><au>CHOPIER, J</au><au>ANTOINE, M</au><au>BEZU, C</au><au>UZAN, S</au><au>ROUZIER, R</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Predictive Factors for Breast Cancer in Patients Diagnosed with Ductal Intraepithelial Neoplasia, Grade 1B</atitle><jtitle>Anticancer research</jtitle><addtitle>Anticancer Res</addtitle><date>2012-08-01</date><risdate>2012</risdate><volume>32</volume><issue>8</issue><spage>3571</spage><epage>3579</epage><pages>3571-3579</pages><issn>0250-7005</issn><eissn>1791-7530</eissn><abstract>For ductal intraepithelial neoplasia, grade 1B, studies that predict breast cancer risk after an 11-gauge vacuum-assisted breast biopsy have yielded contradictory results. In order to identify a predictive model of breast cancer risk, we assessed the underestimation rate according to radiological and clinical findings.
Our study involved 212 patients. We compared the area under the receiver operating characteristic curves and the clinical utility of a logistic regression and partitioning model.
Overall upgrade to malignancy occurred in 42 (19.8%) out of the 212 cases. The area under the curve for the logistic regression and partitioning model were 0.65 (95% confidence interval=0.61-0.70) and 0.58 (95% confidence interval=0.54-0.62), respectively. The lowest predicted underestimation rate obtained with the logistic regression model was 9.5%.
From this large series, we were unable to define any accurate safety model for breast cancer. Surgery should be thus recommended.</abstract><cop>Attiki</cop><pub>International Institute of Anticancer Research</pub><pmid>22843948</pmid><tpages>9</tpages></addata></record> |
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| subjects | Biological and medical sciences Breast Neoplasms - pathology Carcinoma in Situ - pathology Carcinoma, Ductal, Breast - pathology Carcinoma, Intraductal, Noninfiltrating - pathology Female Gynecology. Andrology. Obstetrics Humans Logistic Models Mammary gland diseases Medical sciences Middle Aged Neoplasm Grading Prognosis Risk Factors Tumors |
| title | Predictive Factors for Breast Cancer in Patients Diagnosed with Ductal Intraepithelial Neoplasia, Grade 1B |
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