Combination of elastography and tissue quantification using the acoustic radiation force impulse (ARFI) technology for differential diagnosis of breast masses
Purpose We evaluated the diagnostic performance of elastography and tissue quantification using acoustic radiation force impulse (ARFI) technology for differential diagnosis of breast masses. Materials and methods There were 161 mass lesions. First, lesion correspondence on ARFI elastographic images...
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| Veröffentlicht in: | Japanese journal of radiology 2012-10, Vol.30 (8), p.659-670 |
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| creator | Tozaki, Mitsuhiro Isobe, Sachiko Sakamoto, Masaaki |
| description | Purpose
We evaluated the diagnostic performance of elastography and tissue quantification using acoustic radiation force impulse (ARFI) technology for differential diagnosis of breast masses.
Materials and methods
There were 161 mass lesions. First, lesion correspondence on ARFI elastographic images to those on the B-mode images was evaluated: no findings on ARFI images (pattern 1), lesions that were bright inside (pattern 2), lesions that were dark inside (pattern 4), lesions that contained both bright and dark areas (pattern 3). In addition, pattern 4 was subdivided into 4a (dark area same as B-mode lesion) and 4b (dark area larger than lesion). Next, shear wave velocity (SWV) was measured using virtual touch tissue quantification.
Results
There were 13 pattern 1 lesions and five pattern 2 lesions; all of these lesions were benign, whereas all pattern 4b lesions (
n
= 43) were malignant. When the value of 3.59 m/s was chosen as the cutoff value, the combination of elastography and tissue quantification showed 91 % (83–91) sensitivity, 93 % (65–70) specificity, and 92 % (148–161) accuracy.
Conclusion
The combination of elastography and tissue quantification is thought to be a promising ultrasound technique for differential diagnosis of breast-mass lesions. |
| doi_str_mv | 10.1007/s11604-012-0106-3 |
| format | Article |
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We evaluated the diagnostic performance of elastography and tissue quantification using acoustic radiation force impulse (ARFI) technology for differential diagnosis of breast masses.
Materials and methods
There were 161 mass lesions. First, lesion correspondence on ARFI elastographic images to those on the B-mode images was evaluated: no findings on ARFI images (pattern 1), lesions that were bright inside (pattern 2), lesions that were dark inside (pattern 4), lesions that contained both bright and dark areas (pattern 3). In addition, pattern 4 was subdivided into 4a (dark area same as B-mode lesion) and 4b (dark area larger than lesion). Next, shear wave velocity (SWV) was measured using virtual touch tissue quantification.
Results
There were 13 pattern 1 lesions and five pattern 2 lesions; all of these lesions were benign, whereas all pattern 4b lesions (
n
= 43) were malignant. When the value of 3.59 m/s was chosen as the cutoff value, the combination of elastography and tissue quantification showed 91 % (83–91) sensitivity, 93 % (65–70) specificity, and 92 % (148–161) accuracy.
Conclusion
The combination of elastography and tissue quantification is thought to be a promising ultrasound technique for differential diagnosis of breast-mass lesions.</description><identifier>ISSN: 1867-1071</identifier><identifier>EISSN: 1867-108X</identifier><identifier>DOI: 10.1007/s11604-012-0106-3</identifier><identifier>PMID: 22836905</identifier><language>eng</language><publisher>Japan: Springer Japan</publisher><subject>Adult ; Aged ; Aged, 80 and over ; Algorithms ; Breast Neoplasms - diagnosis ; Breast Neoplasms - pathology ; Carcinoma, Ductal, Breast - diagnosis ; Carcinoma, Ductal, Breast - pathology ; Carcinoma, Lobular - diagnosis ; Carcinoma, Lobular - pathology ; Diagnosis, Differential ; Elasticity Imaging Techniques ; Female ; Follow-Up Studies ; Humans ; Imaging ; Medicine ; Medicine & Public Health ; Middle Aged ; Nuclear Medicine ; Original Article ; Predictive Value of Tests ; Radiology ; Radiotherapy ; Retrospective Studies ; Sensitivity and Specificity ; Ultrasonography, Mammary</subject><ispartof>Japanese journal of radiology, 2012-10, Vol.30 (8), p.659-670</ispartof><rights>Japan Radiological Society 2012</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c495t-24243357510629fc2a1880664da0ae53ced4418202ff5b79e80b878d63dcac713</citedby><cites>FETCH-LOGICAL-c495t-24243357510629fc2a1880664da0ae53ced4418202ff5b79e80b878d63dcac713</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/s11604-012-0106-3$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s11604-012-0106-3$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,776,780,27903,27904,41467,42536,51297</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/22836905$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Tozaki, Mitsuhiro</creatorcontrib><creatorcontrib>Isobe, Sachiko</creatorcontrib><creatorcontrib>Sakamoto, Masaaki</creatorcontrib><title>Combination of elastography and tissue quantification using the acoustic radiation force impulse (ARFI) technology for differential diagnosis of breast masses</title><title>Japanese journal of radiology</title><addtitle>Jpn J Radiol</addtitle><addtitle>Jpn J Radiol</addtitle><description>Purpose
We evaluated the diagnostic performance of elastography and tissue quantification using acoustic radiation force impulse (ARFI) technology for differential diagnosis of breast masses.
Materials and methods
There were 161 mass lesions. First, lesion correspondence on ARFI elastographic images to those on the B-mode images was evaluated: no findings on ARFI images (pattern 1), lesions that were bright inside (pattern 2), lesions that were dark inside (pattern 4), lesions that contained both bright and dark areas (pattern 3). In addition, pattern 4 was subdivided into 4a (dark area same as B-mode lesion) and 4b (dark area larger than lesion). Next, shear wave velocity (SWV) was measured using virtual touch tissue quantification.
Results
There were 13 pattern 1 lesions and five pattern 2 lesions; all of these lesions were benign, whereas all pattern 4b lesions (
n
= 43) were malignant. When the value of 3.59 m/s was chosen as the cutoff value, the combination of elastography and tissue quantification showed 91 % (83–91) sensitivity, 93 % (65–70) specificity, and 92 % (148–161) accuracy.
Conclusion
The combination of elastography and tissue quantification is thought to be a promising ultrasound technique for differential diagnosis of breast-mass lesions.</description><subject>Adult</subject><subject>Aged</subject><subject>Aged, 80 and over</subject><subject>Algorithms</subject><subject>Breast Neoplasms - diagnosis</subject><subject>Breast Neoplasms - pathology</subject><subject>Carcinoma, Ductal, Breast - diagnosis</subject><subject>Carcinoma, Ductal, Breast - pathology</subject><subject>Carcinoma, Lobular - diagnosis</subject><subject>Carcinoma, Lobular - pathology</subject><subject>Diagnosis, Differential</subject><subject>Elasticity Imaging Techniques</subject><subject>Female</subject><subject>Follow-Up Studies</subject><subject>Humans</subject><subject>Imaging</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Middle Aged</subject><subject>Nuclear Medicine</subject><subject>Original Article</subject><subject>Predictive Value of Tests</subject><subject>Radiology</subject><subject>Radiotherapy</subject><subject>Retrospective Studies</subject><subject>Sensitivity and Specificity</subject><subject>Ultrasonography, Mammary</subject><issn>1867-1071</issn><issn>1867-108X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2012</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNp1kc1q3TAUhE1padK0D9BNEXSTLtzqz5a8DJemDQQCIYXujCwf-SrY0o2Ovbgv02eNjNNQClkIScyn0UhTFB8Z_cooVd-QsZrKkjKeB61L8ao4ZbpWJaP69-vntWInxTvEe0prKaR8W5xwrkXd0Oq0-LOLU-eDmX0MJDoCo8E5Dskc9kdiQk9mj7gAeVhMmL3zdiMX9GEg8x6IsXHB2VuSTO830cVkgfjpsIwI5Pzi9vLqC5nB7kMc43BcddJ75yBB9jRj3pghRPS4JugS5AhkMoiA74s3zmSXD0_zWfHr8vvd7md5ffPjandxXVrZVHPJJZdCVKrKv8AbZ7lhWtO6lr2hBiphoZeSaU65c1WnGtC000r3teitsYqJs-J88z2k-LAAzu3k0cI4mgD5fS1jTNZNUymR0c__ofdxSSGnWymhJK-0yhTbKJsiYgLXHpKfTDq2jLZree1WXpvLa9fy2tX505Pz0k3QP5_421YG-AZglsIA6Z-rX3R9BLlTppU</recordid><startdate>20121001</startdate><enddate>20121001</enddate><creator>Tozaki, Mitsuhiro</creator><creator>Isobe, Sachiko</creator><creator>Sakamoto, Masaaki</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>PRINS</scope><scope>7X8</scope></search><sort><creationdate>20121001</creationdate><title>Combination of elastography and tissue quantification using the acoustic radiation force impulse (ARFI) technology for differential diagnosis of breast masses</title><author>Tozaki, Mitsuhiro ; Isobe, Sachiko ; Sakamoto, Masaaki</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c495t-24243357510629fc2a1880664da0ae53ced4418202ff5b79e80b878d63dcac713</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2012</creationdate><topic>Adult</topic><topic>Aged</topic><topic>Aged, 80 and over</topic><topic>Algorithms</topic><topic>Breast Neoplasms - diagnosis</topic><topic>Breast Neoplasms - pathology</topic><topic>Carcinoma, Ductal, Breast - diagnosis</topic><topic>Carcinoma, Ductal, Breast - pathology</topic><topic>Carcinoma, Lobular - diagnosis</topic><topic>Carcinoma, Lobular - pathology</topic><topic>Diagnosis, Differential</topic><topic>Elasticity Imaging Techniques</topic><topic>Female</topic><topic>Follow-Up Studies</topic><topic>Humans</topic><topic>Imaging</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Middle Aged</topic><topic>Nuclear Medicine</topic><topic>Original Article</topic><topic>Predictive Value of Tests</topic><topic>Radiology</topic><topic>Radiotherapy</topic><topic>Retrospective Studies</topic><topic>Sensitivity and Specificity</topic><topic>Ultrasonography, Mammary</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Tozaki, Mitsuhiro</creatorcontrib><creatorcontrib>Isobe, Sachiko</creatorcontrib><creatorcontrib>Sakamoto, Masaaki</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>ProQuest Central China</collection><collection>MEDLINE - Academic</collection><jtitle>Japanese journal of radiology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Tozaki, Mitsuhiro</au><au>Isobe, Sachiko</au><au>Sakamoto, Masaaki</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Combination of elastography and tissue quantification using the acoustic radiation force impulse (ARFI) technology for differential diagnosis of breast masses</atitle><jtitle>Japanese journal of radiology</jtitle><stitle>Jpn J Radiol</stitle><addtitle>Jpn J Radiol</addtitle><date>2012-10-01</date><risdate>2012</risdate><volume>30</volume><issue>8</issue><spage>659</spage><epage>670</epage><pages>659-670</pages><issn>1867-1071</issn><eissn>1867-108X</eissn><abstract>Purpose
We evaluated the diagnostic performance of elastography and tissue quantification using acoustic radiation force impulse (ARFI) technology for differential diagnosis of breast masses.
Materials and methods
There were 161 mass lesions. First, lesion correspondence on ARFI elastographic images to those on the B-mode images was evaluated: no findings on ARFI images (pattern 1), lesions that were bright inside (pattern 2), lesions that were dark inside (pattern 4), lesions that contained both bright and dark areas (pattern 3). In addition, pattern 4 was subdivided into 4a (dark area same as B-mode lesion) and 4b (dark area larger than lesion). Next, shear wave velocity (SWV) was measured using virtual touch tissue quantification.
Results
There were 13 pattern 1 lesions and five pattern 2 lesions; all of these lesions were benign, whereas all pattern 4b lesions (
n
= 43) were malignant. When the value of 3.59 m/s was chosen as the cutoff value, the combination of elastography and tissue quantification showed 91 % (83–91) sensitivity, 93 % (65–70) specificity, and 92 % (148–161) accuracy.
Conclusion
The combination of elastography and tissue quantification is thought to be a promising ultrasound technique for differential diagnosis of breast-mass lesions.</abstract><cop>Japan</cop><pub>Springer Japan</pub><pmid>22836905</pmid><doi>10.1007/s11604-012-0106-3</doi><tpages>12</tpages></addata></record> |
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| identifier | ISSN: 1867-1071 |
| ispartof | Japanese journal of radiology, 2012-10, Vol.30 (8), p.659-670 |
| issn | 1867-1071 1867-108X |
| language | eng |
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| subjects | Adult Aged Aged, 80 and over Algorithms Breast Neoplasms - diagnosis Breast Neoplasms - pathology Carcinoma, Ductal, Breast - diagnosis Carcinoma, Ductal, Breast - pathology Carcinoma, Lobular - diagnosis Carcinoma, Lobular - pathology Diagnosis, Differential Elasticity Imaging Techniques Female Follow-Up Studies Humans Imaging Medicine Medicine & Public Health Middle Aged Nuclear Medicine Original Article Predictive Value of Tests Radiology Radiotherapy Retrospective Studies Sensitivity and Specificity Ultrasonography, Mammary |
| title | Combination of elastography and tissue quantification using the acoustic radiation force impulse (ARFI) technology for differential diagnosis of breast masses |
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