Dose Reduction in Molecular Breast Imaging With a New Image-Processing Algorithm
OBJECTIVE. The purpose of this study was to determine whether application of a proprietary image-processing algorithm would allow a reduction in the necessary administered activity for molecular breast imaging (MBI) examinations. MATERIALS AND METHODS. Images from standard-dose MBI examinations (300...
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creator | Tao, Ashley T. Hruska, Carrie B. Conners, Amy L. Hunt, Katie N. Swanson, Tiffinee N. Tran, Thuy D. Manduca, Armando Borges, Lucas Maidment, Andrew D. A. Lake, David Johnson, Matthew P. Carter, Rickey E. Rhodes, Deborah J. O'Connor, Michael K. |
description | OBJECTIVE. The purpose of this study was to determine whether application of a proprietary image-processing algorithm would allow a reduction in the necessary administered activity for molecular breast imaging (MBI) examinations.
MATERIALS AND METHODS. Images from standard-dose MBI examinations (300 MBq( 99m)Tc-sestamibi) of 50 subjects were analyzed. The images were acquired in dynamic mode and showed at least one breast lesion. Half-dose MBI examinations were simulated by summing one-half of the dynamic frames and were processed with the algorithm under study in both a default and a preferred filter mode. Two breast radiologists independently completed a set of two-alternative forced-choice tasks to compare lesion conspicuity on standard-dose images, half-dose images, and the algorithm-processed half-dose images in both modes.
RESULTS. Relative to the standard-dose images, the half-dose images were preferred in 4, the default-filtered half-dose images in 50, and preferred-filtered half-dose images in 76 of 100 readings. Compared with standard-dose images, in terms of lesion conspicuity, the half-dose images were rated better in 2, equivalent in 6, and poorer in 92 of 100 readings. The default-filtered half-dose images were rated better, equivalent, or poorer in 13,73, and 14 of 100 readings. The preferred-filtered half-dose images were rated as better, equivalent, or poorer in 55,34, and 11 of 100 readings.
CONCLUSION. Compared with that on standard-dose images, lesion conspicuity on images obtained with the algorithm and acquired at one-half the standard dose was equivalent or better without compromise of image quality. The algorithm can also be used to decrease imaging time with a resulting increase in patient comfort and throughput. |
doi_str_mv | 10.2214/AJR.19.21582 |
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MATERIALS AND METHODS. Images from standard-dose MBI examinations (300 MBq( 99m)Tc-sestamibi) of 50 subjects were analyzed. The images were acquired in dynamic mode and showed at least one breast lesion. Half-dose MBI examinations were simulated by summing one-half of the dynamic frames and were processed with the algorithm under study in both a default and a preferred filter mode. Two breast radiologists independently completed a set of two-alternative forced-choice tasks to compare lesion conspicuity on standard-dose images, half-dose images, and the algorithm-processed half-dose images in both modes.
RESULTS. Relative to the standard-dose images, the half-dose images were preferred in 4, the default-filtered half-dose images in 50, and preferred-filtered half-dose images in 76 of 100 readings. Compared with standard-dose images, in terms of lesion conspicuity, the half-dose images were rated better in 2, equivalent in 6, and poorer in 92 of 100 readings. The default-filtered half-dose images were rated better, equivalent, or poorer in 13,73, and 14 of 100 readings. The preferred-filtered half-dose images were rated as better, equivalent, or poorer in 55,34, and 11 of 100 readings.
CONCLUSION. Compared with that on standard-dose images, lesion conspicuity on images obtained with the algorithm and acquired at one-half the standard dose was equivalent or better without compromise of image quality. The algorithm can also be used to decrease imaging time with a resulting increase in patient comfort and throughput.</description><identifier>ISSN: 0361-803X</identifier><identifier>EISSN: 1546-3141</identifier><identifier>DOI: 10.2214/AJR.19.21582</identifier><identifier>PMID: 31593516</identifier><language>eng</language><publisher>LEESBURG: Amer Roentgen Ray Soc</publisher><subject>Aged ; Algorithms ; Breast Diseases - diagnostic imaging ; Breast Neoplasms - diagnostic imaging ; Female ; Humans ; Image Processing, Computer-Assisted ; Life Sciences & Biomedicine ; Middle Aged ; Molecular Imaging - methods ; Radiation Dosage ; Radiology, Nuclear Medicine & Medical Imaging ; Radionuclide Imaging ; Science & Technology</subject><ispartof>American journal of roentgenology (1976), 2020-01, Vol.214 (1), p.185-193</ispartof><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>true</woscitedreferencessubscribed><woscitedreferencescount>26</woscitedreferencescount><woscitedreferencesoriginalsourcerecordid>wos000503833500037</woscitedreferencesoriginalsourcerecordid><citedby>FETCH-LOGICAL-c291t-54fed504e95dc1de1b4c9aecc48bd61aa03becebaba5a5d5c6632e02d47432a33</citedby><cites>FETCH-LOGICAL-c291t-54fed504e95dc1de1b4c9aecc48bd61aa03becebaba5a5d5c6632e02d47432a33</cites><orcidid>0000-0001-8297-4981</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>315,781,785,4121,27929,27930,28253</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/31593516$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Tao, Ashley T.</creatorcontrib><creatorcontrib>Hruska, Carrie B.</creatorcontrib><creatorcontrib>Conners, Amy L.</creatorcontrib><creatorcontrib>Hunt, Katie N.</creatorcontrib><creatorcontrib>Swanson, Tiffinee N.</creatorcontrib><creatorcontrib>Tran, Thuy D.</creatorcontrib><creatorcontrib>Manduca, Armando</creatorcontrib><creatorcontrib>Borges, Lucas</creatorcontrib><creatorcontrib>Maidment, Andrew D. A.</creatorcontrib><creatorcontrib>Lake, David</creatorcontrib><creatorcontrib>Johnson, Matthew P.</creatorcontrib><creatorcontrib>Carter, Rickey E.</creatorcontrib><creatorcontrib>Rhodes, Deborah J.</creatorcontrib><creatorcontrib>O'Connor, Michael K.</creatorcontrib><title>Dose Reduction in Molecular Breast Imaging With a New Image-Processing Algorithm</title><title>American journal of roentgenology (1976)</title><addtitle>AM J ROENTGENOL</addtitle><addtitle>AJR Am J Roentgenol</addtitle><description>OBJECTIVE. The purpose of this study was to determine whether application of a proprietary image-processing algorithm would allow a reduction in the necessary administered activity for molecular breast imaging (MBI) examinations.
MATERIALS AND METHODS. Images from standard-dose MBI examinations (300 MBq( 99m)Tc-sestamibi) of 50 subjects were analyzed. The images were acquired in dynamic mode and showed at least one breast lesion. Half-dose MBI examinations were simulated by summing one-half of the dynamic frames and were processed with the algorithm under study in both a default and a preferred filter mode. Two breast radiologists independently completed a set of two-alternative forced-choice tasks to compare lesion conspicuity on standard-dose images, half-dose images, and the algorithm-processed half-dose images in both modes.
RESULTS. Relative to the standard-dose images, the half-dose images were preferred in 4, the default-filtered half-dose images in 50, and preferred-filtered half-dose images in 76 of 100 readings. Compared with standard-dose images, in terms of lesion conspicuity, the half-dose images were rated better in 2, equivalent in 6, and poorer in 92 of 100 readings. The default-filtered half-dose images were rated better, equivalent, or poorer in 13,73, and 14 of 100 readings. The preferred-filtered half-dose images were rated as better, equivalent, or poorer in 55,34, and 11 of 100 readings.
CONCLUSION. Compared with that on standard-dose images, lesion conspicuity on images obtained with the algorithm and acquired at one-half the standard dose was equivalent or better without compromise of image quality. The algorithm can also be used to decrease imaging time with a resulting increase in patient comfort and throughput.</description><subject>Aged</subject><subject>Algorithms</subject><subject>Breast Diseases - diagnostic imaging</subject><subject>Breast Neoplasms - diagnostic imaging</subject><subject>Female</subject><subject>Humans</subject><subject>Image Processing, Computer-Assisted</subject><subject>Life Sciences & Biomedicine</subject><subject>Middle Aged</subject><subject>Molecular Imaging - methods</subject><subject>Radiation Dosage</subject><subject>Radiology, Nuclear Medicine & Medical Imaging</subject><subject>Radionuclide Imaging</subject><subject>Science & Technology</subject><issn>0361-803X</issn><issn>1546-3141</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>AOWDO</sourceid><sourceid>EIF</sourceid><recordid>eNqN0T1PwzAQgGELgWgpbMwoIxKk2D47TcZSvooKVBUItshxLiUoiYudqOLfk37QmcmW79ENrwk5ZbTPORNXw8dZn0V9zmTI90iXSRH4wATbJ10KAfNDCh8dcuTcF6V0EEaDQ9IBJiOQLOiS6Y1x6M0wbXSdm8rLK-_JFKibQlnv2qJytTcu1Tyv5t57Xn96ynvG5foJ_ak1Gp1bzYbF3Nh2Xh6Tg0wVDk-2Z4-83d2-jh78ycv9eDSc-JpHrPalyDCVVGAkU81SZInQkUKtRZikAVOKQoIaE5UoqWQqdRAAR8pTMRDAFUCPnG_2Lqz5btDVcZk7jUWhKjSNizlQ4DQMadDSyw3V1jhnMYsXNi-V_YkZjVcN47ZhzKJ43bDlZ9vNTVJiusN_0VpwsQFLTEzmdI6Vxh1rK0sKIYBsbzBodfh_PcprtfqHkWmqGn4B3-aNMg</recordid><startdate>20200101</startdate><enddate>20200101</enddate><creator>Tao, Ashley T.</creator><creator>Hruska, Carrie B.</creator><creator>Conners, Amy L.</creator><creator>Hunt, Katie N.</creator><creator>Swanson, Tiffinee N.</creator><creator>Tran, Thuy D.</creator><creator>Manduca, Armando</creator><creator>Borges, Lucas</creator><creator>Maidment, Andrew D. A.</creator><creator>Lake, David</creator><creator>Johnson, Matthew P.</creator><creator>Carter, Rickey E.</creator><creator>Rhodes, Deborah J.</creator><creator>O'Connor, Michael K.</creator><general>Amer Roentgen Ray Soc</general><scope>AOWDO</scope><scope>BLEPL</scope><scope>DTL</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><orcidid>https://orcid.org/0000-0001-8297-4981</orcidid></search><sort><creationdate>20200101</creationdate><title>Dose Reduction in Molecular Breast Imaging With a New Image-Processing Algorithm</title><author>Tao, Ashley T. ; Hruska, Carrie B. ; Conners, Amy L. ; Hunt, Katie N. ; Swanson, Tiffinee N. ; Tran, Thuy D. ; Manduca, Armando ; Borges, Lucas ; Maidment, Andrew D. A. ; Lake, David ; Johnson, Matthew P. ; Carter, Rickey E. ; Rhodes, Deborah J. ; O'Connor, Michael K.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c291t-54fed504e95dc1de1b4c9aecc48bd61aa03becebaba5a5d5c6632e02d47432a33</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Aged</topic><topic>Algorithms</topic><topic>Breast Diseases - diagnostic imaging</topic><topic>Breast Neoplasms - diagnostic imaging</topic><topic>Female</topic><topic>Humans</topic><topic>Image Processing, Computer-Assisted</topic><topic>Life Sciences & Biomedicine</topic><topic>Middle Aged</topic><topic>Molecular Imaging - methods</topic><topic>Radiation Dosage</topic><topic>Radiology, Nuclear Medicine & Medical Imaging</topic><topic>Radionuclide Imaging</topic><topic>Science & Technology</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Tao, Ashley T.</creatorcontrib><creatorcontrib>Hruska, Carrie B.</creatorcontrib><creatorcontrib>Conners, Amy L.</creatorcontrib><creatorcontrib>Hunt, Katie N.</creatorcontrib><creatorcontrib>Swanson, Tiffinee N.</creatorcontrib><creatorcontrib>Tran, Thuy D.</creatorcontrib><creatorcontrib>Manduca, Armando</creatorcontrib><creatorcontrib>Borges, Lucas</creatorcontrib><creatorcontrib>Maidment, Andrew D. A.</creatorcontrib><creatorcontrib>Lake, David</creatorcontrib><creatorcontrib>Johnson, Matthew P.</creatorcontrib><creatorcontrib>Carter, Rickey E.</creatorcontrib><creatorcontrib>Rhodes, Deborah J.</creatorcontrib><creatorcontrib>O'Connor, Michael K.</creatorcontrib><collection>Web of Science - Science Citation Index Expanded - 2020</collection><collection>Web of Science Core Collection</collection><collection>Science Citation Index Expanded</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>American journal of roentgenology (1976)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Tao, Ashley T.</au><au>Hruska, Carrie B.</au><au>Conners, Amy L.</au><au>Hunt, Katie N.</au><au>Swanson, Tiffinee N.</au><au>Tran, Thuy D.</au><au>Manduca, Armando</au><au>Borges, Lucas</au><au>Maidment, Andrew D. A.</au><au>Lake, David</au><au>Johnson, Matthew P.</au><au>Carter, Rickey E.</au><au>Rhodes, Deborah J.</au><au>O'Connor, Michael K.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Dose Reduction in Molecular Breast Imaging With a New Image-Processing Algorithm</atitle><jtitle>American journal of roentgenology (1976)</jtitle><stitle>AM J ROENTGENOL</stitle><addtitle>AJR Am J Roentgenol</addtitle><date>2020-01-01</date><risdate>2020</risdate><volume>214</volume><issue>1</issue><spage>185</spage><epage>193</epage><pages>185-193</pages><issn>0361-803X</issn><eissn>1546-3141</eissn><abstract>OBJECTIVE. The purpose of this study was to determine whether application of a proprietary image-processing algorithm would allow a reduction in the necessary administered activity for molecular breast imaging (MBI) examinations.
MATERIALS AND METHODS. Images from standard-dose MBI examinations (300 MBq( 99m)Tc-sestamibi) of 50 subjects were analyzed. The images were acquired in dynamic mode and showed at least one breast lesion. Half-dose MBI examinations were simulated by summing one-half of the dynamic frames and were processed with the algorithm under study in both a default and a preferred filter mode. Two breast radiologists independently completed a set of two-alternative forced-choice tasks to compare lesion conspicuity on standard-dose images, half-dose images, and the algorithm-processed half-dose images in both modes.
RESULTS. Relative to the standard-dose images, the half-dose images were preferred in 4, the default-filtered half-dose images in 50, and preferred-filtered half-dose images in 76 of 100 readings. Compared with standard-dose images, in terms of lesion conspicuity, the half-dose images were rated better in 2, equivalent in 6, and poorer in 92 of 100 readings. The default-filtered half-dose images were rated better, equivalent, or poorer in 13,73, and 14 of 100 readings. The preferred-filtered half-dose images were rated as better, equivalent, or poorer in 55,34, and 11 of 100 readings.
CONCLUSION. Compared with that on standard-dose images, lesion conspicuity on images obtained with the algorithm and acquired at one-half the standard dose was equivalent or better without compromise of image quality. The algorithm can also be used to decrease imaging time with a resulting increase in patient comfort and throughput.</abstract><cop>LEESBURG</cop><pub>Amer Roentgen Ray Soc</pub><pmid>31593516</pmid><doi>10.2214/AJR.19.21582</doi><tpages>9</tpages><orcidid>https://orcid.org/0000-0001-8297-4981</orcidid></addata></record> |
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subjects | Aged Algorithms Breast Diseases - diagnostic imaging Breast Neoplasms - diagnostic imaging Female Humans Image Processing, Computer-Assisted Life Sciences & Biomedicine Middle Aged Molecular Imaging - methods Radiation Dosage Radiology, Nuclear Medicine & Medical Imaging Radionuclide Imaging Science & Technology |
title | Dose Reduction in Molecular Breast Imaging With a New Image-Processing Algorithm |
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