Detectability of breast lesions under the nipple using an automated breast volume scanner: comparison with handheld ultrasonography
Purpose The aims of this study were to investigate the visualization rate for the mammary gland under the nipple with automated breast ultrasonography (US) and to compare the detectability of breast lesions under the nipple with automated breast imaging and handheld US imaging. Materials and methods...
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Veröffentlicht in: | Japanese journal of radiology 2011-06, Vol.29 (5), p.361-365 |
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creator | Isobe, Sachiko Tozaki, Mitsuhiro Yamaguchi, Miki Ogawa, Yukari Homma, Kanako Satomi, Rie Saito, Masahiro Joo, Chanwoong Fukuma, Eisuke |
description | Purpose
The aims of this study were to investigate the visualization rate for the mammary gland under the nipple with automated breast ultrasonography (US) and to compare the detectability of breast lesions under the nipple with automated breast imaging and handheld US imaging.
Materials and methods
A total of 60 patients underwent automated breast US (ABVS; Siemens Medical Solutions, Mountain View, CA, USA) and handheld US. The scans of the four segments of the breast included sequential scans in the upper-outer (C), lower-outer (D), lowerinner (B), and upper-inner (A) regions.
Results
The visualization rates for the mammary gland under the nipple were 72% (86/120 breasts) in A-scanning, 84% (101/120) in B-scanning, 78% (93/120) in C-scanning, and 80% (96/120) in D-scanning. Interscanning mode differences were statistically significant only for A-scanning and B-scanning (
P
= 0.02). Eventually, 98% (117/120 breasts) of the breasts examined were rated as “visualized.” In 14 of the 15 patients with breast lesions under the nipple, the lesions were detectable with handheld US and the ABVS. In the other patient, the lesion was not detectable on handheld US but was detected on ABVS imaging.
Conclusion
ABVS imaging is by no means inferior to handheld US for detecting breast lesions under the nipple. |
doi_str_mv | 10.1007/s11604-010-0555-5 |
format | Article |
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The aims of this study were to investigate the visualization rate for the mammary gland under the nipple with automated breast ultrasonography (US) and to compare the detectability of breast lesions under the nipple with automated breast imaging and handheld US imaging.
Materials and methods
A total of 60 patients underwent automated breast US (ABVS; Siemens Medical Solutions, Mountain View, CA, USA) and handheld US. The scans of the four segments of the breast included sequential scans in the upper-outer (C), lower-outer (D), lowerinner (B), and upper-inner (A) regions.
Results
The visualization rates for the mammary gland under the nipple were 72% (86/120 breasts) in A-scanning, 84% (101/120) in B-scanning, 78% (93/120) in C-scanning, and 80% (96/120) in D-scanning. Interscanning mode differences were statistically significant only for A-scanning and B-scanning (
P
= 0.02). Eventually, 98% (117/120 breasts) of the breasts examined were rated as “visualized.” In 14 of the 15 patients with breast lesions under the nipple, the lesions were detectable with handheld US and the ABVS. In the other patient, the lesion was not detectable on handheld US but was detected on ABVS imaging.
Conclusion
ABVS imaging is by no means inferior to handheld US for detecting breast lesions under the nipple.</description><identifier>ISSN: 1867-1071</identifier><identifier>EISSN: 1867-108X</identifier><identifier>DOI: 10.1007/s11604-010-0555-5</identifier><identifier>PMID: 21717306</identifier><language>eng</language><publisher>Japan: Springer Japan</publisher><subject>Adult ; Aged ; Breast Neoplasms - diagnostic imaging ; Female ; Humans ; Image Interpretation, Computer-Assisted - instrumentation ; Image Interpretation, Computer-Assisted - methods ; Imaging ; Medicine ; Medicine & Public Health ; Middle Aged ; Nipples - diagnostic imaging ; Nuclear Medicine ; Pattern Recognition, Automated - methods ; Radiology ; Radiotherapy ; Retrospective Studies ; Sensitivity and Specificity ; Technical Note ; Ultrasonography, Mammary - instrumentation ; Ultrasonography, Mammary - methods ; Young Adult</subject><ispartof>Japanese journal of radiology, 2011-06, Vol.29 (5), p.361-365</ispartof><rights>Japan Radiological Society 2011</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c394t-982d3992a3883fd1dac66046345de210097b482bf6be0c8b21f42d034d3ad0693</citedby><cites>FETCH-LOGICAL-c394t-982d3992a3883fd1dac66046345de210097b482bf6be0c8b21f42d034d3ad0693</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s11604-010-0555-5$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s11604-010-0555-5$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,776,780,27901,27902,41464,42533,51294</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/21717306$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Isobe, Sachiko</creatorcontrib><creatorcontrib>Tozaki, Mitsuhiro</creatorcontrib><creatorcontrib>Yamaguchi, Miki</creatorcontrib><creatorcontrib>Ogawa, Yukari</creatorcontrib><creatorcontrib>Homma, Kanako</creatorcontrib><creatorcontrib>Satomi, Rie</creatorcontrib><creatorcontrib>Saito, Masahiro</creatorcontrib><creatorcontrib>Joo, Chanwoong</creatorcontrib><creatorcontrib>Fukuma, Eisuke</creatorcontrib><title>Detectability of breast lesions under the nipple using an automated breast volume scanner: comparison with handheld ultrasonography</title><title>Japanese journal of radiology</title><addtitle>Jpn J Radiol</addtitle><addtitle>Jpn J Radiol</addtitle><description>Purpose
The aims of this study were to investigate the visualization rate for the mammary gland under the nipple with automated breast ultrasonography (US) and to compare the detectability of breast lesions under the nipple with automated breast imaging and handheld US imaging.
Materials and methods
A total of 60 patients underwent automated breast US (ABVS; Siemens Medical Solutions, Mountain View, CA, USA) and handheld US. The scans of the four segments of the breast included sequential scans in the upper-outer (C), lower-outer (D), lowerinner (B), and upper-inner (A) regions.
Results
The visualization rates for the mammary gland under the nipple were 72% (86/120 breasts) in A-scanning, 84% (101/120) in B-scanning, 78% (93/120) in C-scanning, and 80% (96/120) in D-scanning. Interscanning mode differences were statistically significant only for A-scanning and B-scanning (
P
= 0.02). Eventually, 98% (117/120 breasts) of the breasts examined were rated as “visualized.” In 14 of the 15 patients with breast lesions under the nipple, the lesions were detectable with handheld US and the ABVS. In the other patient, the lesion was not detectable on handheld US but was detected on ABVS imaging.
Conclusion
ABVS imaging is by no means inferior to handheld US for detecting breast lesions under the nipple.</description><subject>Adult</subject><subject>Aged</subject><subject>Breast Neoplasms - diagnostic imaging</subject><subject>Female</subject><subject>Humans</subject><subject>Image Interpretation, Computer-Assisted - instrumentation</subject><subject>Image Interpretation, Computer-Assisted - methods</subject><subject>Imaging</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Middle Aged</subject><subject>Nipples - diagnostic imaging</subject><subject>Nuclear Medicine</subject><subject>Pattern Recognition, Automated - methods</subject><subject>Radiology</subject><subject>Radiotherapy</subject><subject>Retrospective Studies</subject><subject>Sensitivity and Specificity</subject><subject>Technical Note</subject><subject>Ultrasonography, Mammary - instrumentation</subject><subject>Ultrasonography, Mammary - methods</subject><subject>Young Adult</subject><issn>1867-1071</issn><issn>1867-108X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2011</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>BENPR</sourceid><recordid>eNp1kUtvFSEYhifGxtbqD3BjiBtXY2FgGHBn6jVp0o0m7ggzfHOGhoGRS81Z-8fLyWlrYuIKAs_7cnma5hXB7wjGw0UihGPWYoJb3Pd92z9pzojgQ0uw-Pn0cT6Q0-Z5SjcYc0YZe9acdmQgA8X8rPnzETJMWY_W2bxHYUZjBJ0ycpBs8AkVbyCivADydtscoJKs3yHtkS45rDqDeYjcBldWQGnS3kN8j6awbjraFDz6bfOCFu3NAs6g4nLUdTnsot6W_YvmZNYuwcv78bz58fnT98uv7dX1l2-XH67aiUqWWyk6Q6XsNBWCzoYYPfH6fE5Zb6CrHyKHkYlunPkIeBJjR2bWGUyZodpgLul58_bYu8Xwq0DKarVpAue0h1CSEgNjoucYV_LNP-RNKNHXyx0gIiWTtELkCE0xpBRhVlu0q457RbA6-FFHP6r6UQc_qq-Z1_fFZVzBPCYehFSgOwKpbvkdxL8n_7_1DpPDnPQ</recordid><startdate>20110601</startdate><enddate>20110601</enddate><creator>Isobe, Sachiko</creator><creator>Tozaki, Mitsuhiro</creator><creator>Yamaguchi, Miki</creator><creator>Ogawa, Yukari</creator><creator>Homma, Kanako</creator><creator>Satomi, Rie</creator><creator>Saito, Masahiro</creator><creator>Joo, Chanwoong</creator><creator>Fukuma, Eisuke</creator><general>Springer Japan</general><general>Springer Nature B.V</general><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>3V.</scope><scope>7QO</scope><scope>7RV</scope><scope>7TK</scope><scope>7U7</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB0</scope><scope>LK8</scope><scope>M0S</scope><scope>M1P</scope><scope>M7P</scope><scope>NAPCQ</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>7X8</scope></search><sort><creationdate>20110601</creationdate><title>Detectability of breast lesions under the nipple using an automated breast volume scanner: comparison with handheld ultrasonography</title><author>Isobe, Sachiko ; Tozaki, Mitsuhiro ; Yamaguchi, Miki ; Ogawa, Yukari ; Homma, Kanako ; Satomi, Rie ; Saito, Masahiro ; Joo, Chanwoong ; Fukuma, Eisuke</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c394t-982d3992a3883fd1dac66046345de210097b482bf6be0c8b21f42d034d3ad0693</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2011</creationdate><topic>Adult</topic><topic>Aged</topic><topic>Breast Neoplasms - diagnostic imaging</topic><topic>Female</topic><topic>Humans</topic><topic>Image Interpretation, Computer-Assisted - instrumentation</topic><topic>Image Interpretation, Computer-Assisted - methods</topic><topic>Imaging</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Middle Aged</topic><topic>Nipples - diagnostic imaging</topic><topic>Nuclear Medicine</topic><topic>Pattern Recognition, Automated - methods</topic><topic>Radiology</topic><topic>Radiotherapy</topic><topic>Retrospective Studies</topic><topic>Sensitivity and Specificity</topic><topic>Technical Note</topic><topic>Ultrasonography, Mammary - instrumentation</topic><topic>Ultrasonography, Mammary - methods</topic><topic>Young Adult</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Isobe, Sachiko</creatorcontrib><creatorcontrib>Tozaki, Mitsuhiro</creatorcontrib><creatorcontrib>Yamaguchi, Miki</creatorcontrib><creatorcontrib>Ogawa, Yukari</creatorcontrib><creatorcontrib>Homma, Kanako</creatorcontrib><creatorcontrib>Satomi, Rie</creatorcontrib><creatorcontrib>Saito, Masahiro</creatorcontrib><creatorcontrib>Joo, Chanwoong</creatorcontrib><creatorcontrib>Fukuma, Eisuke</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Biotechnology Research Abstracts</collection><collection>Nursing & Allied Health Database</collection><collection>Neurosciences Abstracts</collection><collection>Toxicology 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>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Natural Science 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>Advanced Technologies & Aerospace Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>ProQuest Biological Science Collection</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Biological Science Database</collection><collection>Nursing & Allied Health Premium</collection><collection>Advanced Technologies & Aerospace Database</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>Biotechnology and BioEngineering Abstracts</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>Japanese journal of radiology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Isobe, Sachiko</au><au>Tozaki, Mitsuhiro</au><au>Yamaguchi, Miki</au><au>Ogawa, Yukari</au><au>Homma, Kanako</au><au>Satomi, Rie</au><au>Saito, Masahiro</au><au>Joo, Chanwoong</au><au>Fukuma, Eisuke</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Detectability of breast lesions under the nipple using an automated breast volume scanner: comparison with handheld ultrasonography</atitle><jtitle>Japanese journal of radiology</jtitle><stitle>Jpn J Radiol</stitle><addtitle>Jpn J Radiol</addtitle><date>2011-06-01</date><risdate>2011</risdate><volume>29</volume><issue>5</issue><spage>361</spage><epage>365</epage><pages>361-365</pages><issn>1867-1071</issn><eissn>1867-108X</eissn><abstract>Purpose
The aims of this study were to investigate the visualization rate for the mammary gland under the nipple with automated breast ultrasonography (US) and to compare the detectability of breast lesions under the nipple with automated breast imaging and handheld US imaging.
Materials and methods
A total of 60 patients underwent automated breast US (ABVS; Siemens Medical Solutions, Mountain View, CA, USA) and handheld US. The scans of the four segments of the breast included sequential scans in the upper-outer (C), lower-outer (D), lowerinner (B), and upper-inner (A) regions.
Results
The visualization rates for the mammary gland under the nipple were 72% (86/120 breasts) in A-scanning, 84% (101/120) in B-scanning, 78% (93/120) in C-scanning, and 80% (96/120) in D-scanning. Interscanning mode differences were statistically significant only for A-scanning and B-scanning (
P
= 0.02). Eventually, 98% (117/120 breasts) of the breasts examined were rated as “visualized.” In 14 of the 15 patients with breast lesions under the nipple, the lesions were detectable with handheld US and the ABVS. In the other patient, the lesion was not detectable on handheld US but was detected on ABVS imaging.
Conclusion
ABVS imaging is by no means inferior to handheld US for detecting breast lesions under the nipple.</abstract><cop>Japan</cop><pub>Springer Japan</pub><pmid>21717306</pmid><doi>10.1007/s11604-010-0555-5</doi><tpages>5</tpages></addata></record> |
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subjects | Adult Aged Breast Neoplasms - diagnostic imaging Female Humans Image Interpretation, Computer-Assisted - instrumentation Image Interpretation, Computer-Assisted - methods Imaging Medicine Medicine & Public Health Middle Aged Nipples - diagnostic imaging Nuclear Medicine Pattern Recognition, Automated - methods Radiology Radiotherapy Retrospective Studies Sensitivity and Specificity Technical Note Ultrasonography, Mammary - instrumentation Ultrasonography, Mammary - methods Young Adult |
title | Detectability of breast lesions under the nipple using an automated breast volume scanner: comparison with handheld ultrasonography |
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