Breast MRI: Are T2 IR sequences useful in the evaluation of breast lesions?
Abstract Aim To evaluate the potential role of signal intensities calculated in T2 images as an adjunctive parameter in the analysis of mass-like enhancements classified as BIRADS (Breast Imaging Reporting and Data System) assessment categories 2, 3, 4 or 5 with the standard T1 criteria. Materials a...
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creator | Ballesio, Laura Savelli, Sara Angeletti, Marco Porfiri, Lucio Maria D’Ambrosio, Ilaria Maggi, Claudia Castro, Elisabetta Di Bennati, Paolo Fanelli, Gloria Pasqua Vestri, Anna Rita Manganaro, Lucia |
description | Abstract Aim To evaluate the potential role of signal intensities calculated in T2 images as an adjunctive parameter in the analysis of mass-like enhancements classified as BIRADS (Breast Imaging Reporting and Data System) assessment categories 2, 3, 4 or 5 with the standard T1 criteria. Materials and methods After a retrospective review of 338-breast Magnetic Resonance Imaging (MRI) performed for the evaluation of a suspicious lesion we selected a group of 65 mass-like enhancements ranging from 5 to 20 mm, classified as BIRADS assessment categories 2, 3, 4 or 5, histologically proved. In all cases we calculated the ratio between the signal intensity (SI) of the nodule and the pectoralis major muscle (LMSIR, lesion to muscle signal intensity ratio) with a multiROIs (region of interest) analysis on T2 images. A ROC analysis was performed to test the ability of the two diagnostic parameters separately considered (BIRADS and LMSIR) and combined in a new mono-dimensional variable obtained by a computerized discriminant function. Results Histological examination assessed 34 malignant lesions (52.3%) and 31 benign lesions (47.7%). The evaluation of ROC curves gave the following results: BIRADS area under the curve (AUC) 0.913, S.E. 0.0368, LMSIR AUC 0.854, S.E. 0.0487, combined BIRADS–LMSIR AUC 0.965, S.E. 0.0191 with a definitive increase in the AUC between the overall ROC area and those of the two diagnostic modalities separately considered. Discussion T2-weighted SI assessment with LMSIR measurement improves the diagnostic information content of standard breast MRI and can be considered a promising potential tool in the differential diagnosis of mass-like enhancements judged as borderline lesions (BIRADS 3 and 4). |
doi_str_mv | 10.1016/j.ejrad.2008.03.025 |
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Materials and methods After a retrospective review of 338-breast Magnetic Resonance Imaging (MRI) performed for the evaluation of a suspicious lesion we selected a group of 65 mass-like enhancements ranging from 5 to 20 mm, classified as BIRADS assessment categories 2, 3, 4 or 5, histologically proved. In all cases we calculated the ratio between the signal intensity (SI) of the nodule and the pectoralis major muscle (LMSIR, lesion to muscle signal intensity ratio) with a multiROIs (region of interest) analysis on T2 images. A ROC analysis was performed to test the ability of the two diagnostic parameters separately considered (BIRADS and LMSIR) and combined in a new mono-dimensional variable obtained by a computerized discriminant function. Results Histological examination assessed 34 malignant lesions (52.3%) and 31 benign lesions (47.7%). The evaluation of ROC curves gave the following results: BIRADS area under the curve (AUC) 0.913, S.E. 0.0368, LMSIR AUC 0.854, S.E. 0.0487, combined BIRADS–LMSIR AUC 0.965, S.E. 0.0191 with a definitive increase in the AUC between the overall ROC area and those of the two diagnostic modalities separately considered. Discussion T2-weighted SI assessment with LMSIR measurement improves the diagnostic information content of standard breast MRI and can be considered a promising potential tool in the differential diagnosis of mass-like enhancements judged as borderline lesions (BIRADS 3 and 4).</description><identifier>ISSN: 0720-048X</identifier><identifier>EISSN: 1872-7727</identifier><identifier>DOI: 10.1016/j.ejrad.2008.03.025</identifier><identifier>PMID: 18479866</identifier><identifier>CODEN: EJRADR</identifier><language>eng</language><publisher>Amsterdam: Elsevier Ireland Ltd</publisher><subject>Algorithms ; Biological and medical sciences ; Breast ; Breast Neoplasms - diagnosis ; Breast tumors ; Differential diagnosis ; Female ; Gynecology. Andrology. Obstetrics ; Humans ; Image Enhancement - methods ; Image Interpretation, Computer-Assisted - methods ; Investigative techniques, diagnostic techniques (general aspects) ; Magnetic Resonance Imaging - methods ; Mammary gland diseases ; Medical sciences ; MR imaging ; Radiology ; Reproducibility of Results ; Sensitivity and Specificity ; Tumors</subject><ispartof>European journal of radiology, 2009-07, Vol.71 (1), p.96-101</ispartof><rights>Elsevier Ireland Ltd</rights><rights>2008 Elsevier Ireland Ltd</rights><rights>2009 INIST-CNRS</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c442t-7122d0f535126418e9ebf60999a7d90c531ceebbfda72e3b8795e34a72646943</citedby><cites>FETCH-LOGICAL-c442t-7122d0f535126418e9ebf60999a7d90c531ceebbfda72e3b8795e34a72646943</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.ejrad.2008.03.025$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>315,781,785,3551,27929,27930,46000</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=21731414$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/18479866$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Ballesio, Laura</creatorcontrib><creatorcontrib>Savelli, Sara</creatorcontrib><creatorcontrib>Angeletti, Marco</creatorcontrib><creatorcontrib>Porfiri, Lucio Maria</creatorcontrib><creatorcontrib>D’Ambrosio, Ilaria</creatorcontrib><creatorcontrib>Maggi, Claudia</creatorcontrib><creatorcontrib>Castro, Elisabetta Di</creatorcontrib><creatorcontrib>Bennati, Paolo</creatorcontrib><creatorcontrib>Fanelli, Gloria Pasqua</creatorcontrib><creatorcontrib>Vestri, Anna Rita</creatorcontrib><creatorcontrib>Manganaro, Lucia</creatorcontrib><title>Breast MRI: Are T2 IR sequences useful in the evaluation of breast lesions?</title><title>European journal of radiology</title><addtitle>Eur J Radiol</addtitle><description>Abstract Aim To evaluate the potential role of signal intensities calculated in T2 images as an adjunctive parameter in the analysis of mass-like enhancements classified as BIRADS (Breast Imaging Reporting and Data System) assessment categories 2, 3, 4 or 5 with the standard T1 criteria. Materials and methods After a retrospective review of 338-breast Magnetic Resonance Imaging (MRI) performed for the evaluation of a suspicious lesion we selected a group of 65 mass-like enhancements ranging from 5 to 20 mm, classified as BIRADS assessment categories 2, 3, 4 or 5, histologically proved. In all cases we calculated the ratio between the signal intensity (SI) of the nodule and the pectoralis major muscle (LMSIR, lesion to muscle signal intensity ratio) with a multiROIs (region of interest) analysis on T2 images. A ROC analysis was performed to test the ability of the two diagnostic parameters separately considered (BIRADS and LMSIR) and combined in a new mono-dimensional variable obtained by a computerized discriminant function. Results Histological examination assessed 34 malignant lesions (52.3%) and 31 benign lesions (47.7%). The evaluation of ROC curves gave the following results: BIRADS area under the curve (AUC) 0.913, S.E. 0.0368, LMSIR AUC 0.854, S.E. 0.0487, combined BIRADS–LMSIR AUC 0.965, S.E. 0.0191 with a definitive increase in the AUC between the overall ROC area and those of the two diagnostic modalities separately considered. Discussion T2-weighted SI assessment with LMSIR measurement improves the diagnostic information content of standard breast MRI and can be considered a promising potential tool in the differential diagnosis of mass-like enhancements judged as borderline lesions (BIRADS 3 and 4).</description><subject>Algorithms</subject><subject>Biological and medical sciences</subject><subject>Breast</subject><subject>Breast Neoplasms - diagnosis</subject><subject>Breast tumors</subject><subject>Differential diagnosis</subject><subject>Female</subject><subject>Gynecology. Andrology. Obstetrics</subject><subject>Humans</subject><subject>Image Enhancement - methods</subject><subject>Image Interpretation, Computer-Assisted - methods</subject><subject>Investigative techniques, diagnostic techniques (general aspects)</subject><subject>Magnetic Resonance Imaging - methods</subject><subject>Mammary gland diseases</subject><subject>Medical sciences</subject><subject>MR imaging</subject><subject>Radiology</subject><subject>Reproducibility of Results</subject><subject>Sensitivity and Specificity</subject><subject>Tumors</subject><issn>0720-048X</issn><issn>1872-7727</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2009</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqFkU2L1TAUhosozp3RXyBINrprPflo0wiOjIMfF0eE8S7chTQ9xdTedsxpB-bfT-q9KLhxFRKe9-TlOVn2jEPBgVev-gL76NpCANQFyAJE-SDb8FqLXGuhH2Yb0AJyUPX3k-yUqAeAUhnxODvhtdKmrqpN9vldREcz-3K9fc0uIrKdYNtrRvhrwdEjsYWwWwYWRjb_QIa3bljcHKaRTR1rDtkBKT3Q2yfZo84NhE-P51m2-_B-d_kpv_r6cXt5cZV7pcScay5EC10pSy4qxWs02HQVGGOcbg34UnKP2DRd67RA2dTalChVulSqMkqeZS8PY2_ilFrSbPeBPA6DG3FayFZaiVKBSKA8gD5ORBE7exPD3sU7y8GuCm1vfyu0q0IL0iaFKfX8OH5p9tj-zRydJeDFEXDk3dBFN_pAfzjBteSKrz3fHDhMLm4DRks-rFLbENHPtp3Cf4qc_5P3QxhD-vIn3iH10xLHpNlyS8KC_bZue1021ADc8FLeA49BouA</recordid><startdate>20090701</startdate><enddate>20090701</enddate><creator>Ballesio, Laura</creator><creator>Savelli, Sara</creator><creator>Angeletti, Marco</creator><creator>Porfiri, Lucio Maria</creator><creator>D’Ambrosio, Ilaria</creator><creator>Maggi, Claudia</creator><creator>Castro, Elisabetta Di</creator><creator>Bennati, Paolo</creator><creator>Fanelli, Gloria Pasqua</creator><creator>Vestri, Anna Rita</creator><creator>Manganaro, Lucia</creator><general>Elsevier Ireland Ltd</general><general>Elsevier</general><scope>IQODW</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope></search><sort><creationdate>20090701</creationdate><title>Breast MRI: Are T2 IR sequences useful in the evaluation of breast lesions?</title><author>Ballesio, Laura ; Savelli, Sara ; Angeletti, Marco ; Porfiri, Lucio Maria ; D’Ambrosio, Ilaria ; Maggi, Claudia ; Castro, Elisabetta Di ; Bennati, Paolo ; Fanelli, Gloria Pasqua ; Vestri, Anna Rita ; Manganaro, Lucia</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c442t-7122d0f535126418e9ebf60999a7d90c531ceebbfda72e3b8795e34a72646943</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2009</creationdate><topic>Algorithms</topic><topic>Biological and medical sciences</topic><topic>Breast</topic><topic>Breast Neoplasms - diagnosis</topic><topic>Breast tumors</topic><topic>Differential diagnosis</topic><topic>Female</topic><topic>Gynecology. Andrology. Obstetrics</topic><topic>Humans</topic><topic>Image Enhancement - methods</topic><topic>Image Interpretation, Computer-Assisted - methods</topic><topic>Investigative techniques, diagnostic techniques (general aspects)</topic><topic>Magnetic Resonance Imaging - methods</topic><topic>Mammary gland diseases</topic><topic>Medical sciences</topic><topic>MR imaging</topic><topic>Radiology</topic><topic>Reproducibility of Results</topic><topic>Sensitivity and Specificity</topic><topic>Tumors</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Ballesio, Laura</creatorcontrib><creatorcontrib>Savelli, Sara</creatorcontrib><creatorcontrib>Angeletti, Marco</creatorcontrib><creatorcontrib>Porfiri, Lucio Maria</creatorcontrib><creatorcontrib>D’Ambrosio, Ilaria</creatorcontrib><creatorcontrib>Maggi, Claudia</creatorcontrib><creatorcontrib>Castro, Elisabetta Di</creatorcontrib><creatorcontrib>Bennati, Paolo</creatorcontrib><creatorcontrib>Fanelli, Gloria Pasqua</creatorcontrib><creatorcontrib>Vestri, Anna Rita</creatorcontrib><creatorcontrib>Manganaro, Lucia</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>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>European journal of radiology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Ballesio, Laura</au><au>Savelli, Sara</au><au>Angeletti, Marco</au><au>Porfiri, Lucio Maria</au><au>D’Ambrosio, Ilaria</au><au>Maggi, Claudia</au><au>Castro, Elisabetta Di</au><au>Bennati, Paolo</au><au>Fanelli, Gloria Pasqua</au><au>Vestri, Anna Rita</au><au>Manganaro, Lucia</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Breast MRI: Are T2 IR sequences useful in the evaluation of breast lesions?</atitle><jtitle>European journal of radiology</jtitle><addtitle>Eur J Radiol</addtitle><date>2009-07-01</date><risdate>2009</risdate><volume>71</volume><issue>1</issue><spage>96</spage><epage>101</epage><pages>96-101</pages><issn>0720-048X</issn><eissn>1872-7727</eissn><coden>EJRADR</coden><abstract>Abstract Aim To evaluate the potential role of signal intensities calculated in T2 images as an adjunctive parameter in the analysis of mass-like enhancements classified as BIRADS (Breast Imaging Reporting and Data System) assessment categories 2, 3, 4 or 5 with the standard T1 criteria. Materials and methods After a retrospective review of 338-breast Magnetic Resonance Imaging (MRI) performed for the evaluation of a suspicious lesion we selected a group of 65 mass-like enhancements ranging from 5 to 20 mm, classified as BIRADS assessment categories 2, 3, 4 or 5, histologically proved. In all cases we calculated the ratio between the signal intensity (SI) of the nodule and the pectoralis major muscle (LMSIR, lesion to muscle signal intensity ratio) with a multiROIs (region of interest) analysis on T2 images. A ROC analysis was performed to test the ability of the two diagnostic parameters separately considered (BIRADS and LMSIR) and combined in a new mono-dimensional variable obtained by a computerized discriminant function. Results Histological examination assessed 34 malignant lesions (52.3%) and 31 benign lesions (47.7%). The evaluation of ROC curves gave the following results: BIRADS area under the curve (AUC) 0.913, S.E. 0.0368, LMSIR AUC 0.854, S.E. 0.0487, combined BIRADS–LMSIR AUC 0.965, S.E. 0.0191 with a definitive increase in the AUC between the overall ROC area and those of the two diagnostic modalities separately considered. Discussion T2-weighted SI assessment with LMSIR measurement improves the diagnostic information content of standard breast MRI and can be considered a promising potential tool in the differential diagnosis of mass-like enhancements judged as borderline lesions (BIRADS 3 and 4).</abstract><cop>Amsterdam</cop><pub>Elsevier Ireland Ltd</pub><pmid>18479866</pmid><doi>10.1016/j.ejrad.2008.03.025</doi><tpages>6</tpages></addata></record> |
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subjects | Algorithms Biological and medical sciences Breast Breast Neoplasms - diagnosis Breast tumors Differential diagnosis Female Gynecology. Andrology. Obstetrics Humans Image Enhancement - methods Image Interpretation, Computer-Assisted - methods Investigative techniques, diagnostic techniques (general aspects) Magnetic Resonance Imaging - methods Mammary gland diseases Medical sciences MR imaging Radiology Reproducibility of Results Sensitivity and Specificity Tumors |
title | Breast MRI: Are T2 IR sequences useful in the evaluation of breast lesions? |
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