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In vivo assessment of prostate cancer response using quantitative ultrasound characterization of ultrasonic scattering properties
Background The study here investigated quantitative ultrasound (QUS) parameters to assess tumour response to ultrasound-stimulated microbubbles (USMB) and hyperthermia (HT) treatment in vivo. Mice bearing prostate cancer xenografts were exposed to various treatment conditions including 1% (v/v) Defi...
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Published in: | BMC cancer 2021-09, Vol.21 (1), p.1-10, Article 991 |
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description | Background The study here investigated quantitative ultrasound (QUS) parameters to assess tumour response to ultrasound-stimulated microbubbles (USMB) and hyperthermia (HT) treatment in vivo. Mice bearing prostate cancer xenografts were exposed to various treatment conditions including 1% (v/v) Definity microbubbles stimulated at ultrasound pressures 246 kPa and 570 kPa and HT duration of 0, 10, 40, and 50 min. Ultrasound radiofrequency (RF) data were collected using an ultrasound transducer with a central frequency of 25 MHz. QUS parameters based on form factor models were used as potential biomarkers of cell death in prostate cancer xenografts. Results The average acoustic concentration (AAC) parameter from spherical gaussian and the fluid-filled spherical models were the most efficient imaging biomarker of cell death. Statistical significant increases of AAC were found in the combined treatment groups: 246 kPa + 40 min, 246 kPa + 50 min, and 570 kPa + 50 min, in comparison with control tumours (0 kPa + 0 min). Changes in AAC correlates strongly (r.sup.2 = 0.62) with cell death fraction quantified from the histopathological analysis. Conclusion Scattering property estimates from spherical gaussian and fluid-filled spherical models are useful imaging biomarkers for assessing tumour response to treatment. Our observation of changes in AAC from high ultrasound frequencies was consistent with previous findings where parameters related to the backscatter intensity (AAC) increased with cell death. Keywords: Cell death, Hyperthermia, Prostate cancer, Quantitative ultrasound spectroscopy |
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Mice bearing prostate cancer xenografts were exposed to various treatment conditions including 1% (v/v) Definity microbubbles stimulated at ultrasound pressures 246 kPa and 570 kPa and HT duration of 0, 10, 40, and 50 min. Ultrasound radiofrequency (RF) data were collected using an ultrasound transducer with a central frequency of 25 MHz. QUS parameters based on form factor models were used as potential biomarkers of cell death in prostate cancer xenografts. Results The average acoustic concentration (AAC) parameter from spherical gaussian and the fluid-filled spherical models were the most efficient imaging biomarker of cell death. Statistical significant increases of AAC were found in the combined treatment groups: 246 kPa + 40 min, 246 kPa + 50 min, and 570 kPa + 50 min, in comparison with control tumours (0 kPa + 0 min). Changes in AAC correlates strongly (r.sup.2 = 0.62) with cell death fraction quantified from the histopathological analysis. Conclusion Scattering property estimates from spherical gaussian and fluid-filled spherical models are useful imaging biomarkers for assessing tumour response to treatment. Our observation of changes in AAC from high ultrasound frequencies was consistent with previous findings where parameters related to the backscatter intensity (AAC) increased with cell death. Keywords: Cell death, Hyperthermia, Prostate cancer, Quantitative ultrasound spectroscopy</description><identifier>ISSN: 1471-2407</identifier><identifier>EISSN: 1471-2407</identifier><identifier>DOI: 10.1186/s12885-021-08706-7</identifier><identifier>PMID: 34479484</identifier><language>eng</language><publisher>London: BioMed Central Ltd</publisher><subject>Acoustics ; Apoptosis ; Biomarkers ; Biopsy ; Cancer therapies ; Care and treatment ; Catheters ; Cell death ; Chemotherapy ; Development and progression ; Diagnosis ; Health aspects ; Hyperthermia ; Medical imaging ; Morphology ; Prostate cancer ; Quantitative ultrasound spectroscopy ; Spectrum analysis ; Statistical analysis ; Tumors ; Ultrasonic imaging ; Ultrasonic waves ; Ultrasound ; Xenografts</subject><ispartof>BMC cancer, 2021-09, Vol.21 (1), p.1-10, Article 991</ispartof><rights>COPYRIGHT 2021 BioMed Central Ltd.</rights><rights>2021. This work is licensed under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>The Author(s) 2021</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c605t-f9dcacf437aaa641dffff277660784d1899b54513bf3251176ac5aac7fa758bb3</citedby><cites>FETCH-LOGICAL-c605t-f9dcacf437aaa641dffff277660784d1899b54513bf3251176ac5aac7fa758bb3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC8417963/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2574452124?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>230,314,724,777,781,882,25734,27905,27906,36993,44571,53772,53774</link.rule.ids></links><search><creatorcontrib>Sharma, Deepa</creatorcontrib><creatorcontrib>Osapoetra, Laurentius Oscar</creatorcontrib><creatorcontrib>Faltyn, Mateusz</creatorcontrib><creatorcontrib>Giles, Anoja</creatorcontrib><creatorcontrib>Stanisz, Martin</creatorcontrib><creatorcontrib>Czarnota, Gregory J</creatorcontrib><title>In vivo assessment of prostate cancer response using quantitative ultrasound characterization of ultrasonic scattering properties</title><title>BMC cancer</title><description>Background The study here investigated quantitative ultrasound (QUS) parameters to assess tumour response to ultrasound-stimulated microbubbles (USMB) and hyperthermia (HT) treatment in vivo. Mice bearing prostate cancer xenografts were exposed to various treatment conditions including 1% (v/v) Definity microbubbles stimulated at ultrasound pressures 246 kPa and 570 kPa and HT duration of 0, 10, 40, and 50 min. Ultrasound radiofrequency (RF) data were collected using an ultrasound transducer with a central frequency of 25 MHz. QUS parameters based on form factor models were used as potential biomarkers of cell death in prostate cancer xenografts. Results The average acoustic concentration (AAC) parameter from spherical gaussian and the fluid-filled spherical models were the most efficient imaging biomarker of cell death. Statistical significant increases of AAC were found in the combined treatment groups: 246 kPa + 40 min, 246 kPa + 50 min, and 570 kPa + 50 min, in comparison with control tumours (0 kPa + 0 min). Changes in AAC correlates strongly (r.sup.2 = 0.62) with cell death fraction quantified from the histopathological analysis. Conclusion Scattering property estimates from spherical gaussian and fluid-filled spherical models are useful imaging biomarkers for assessing tumour response to treatment. Our observation of changes in AAC from high ultrasound frequencies was consistent with previous findings where parameters related to the backscatter intensity (AAC) increased with cell death. Keywords: Cell death, Hyperthermia, Prostate cancer, Quantitative ultrasound spectroscopy</description><subject>Acoustics</subject><subject>Apoptosis</subject><subject>Biomarkers</subject><subject>Biopsy</subject><subject>Cancer therapies</subject><subject>Care and treatment</subject><subject>Catheters</subject><subject>Cell death</subject><subject>Chemotherapy</subject><subject>Development and progression</subject><subject>Diagnosis</subject><subject>Health aspects</subject><subject>Hyperthermia</subject><subject>Medical imaging</subject><subject>Morphology</subject><subject>Prostate cancer</subject><subject>Quantitative ultrasound spectroscopy</subject><subject>Spectrum analysis</subject><subject>Statistical analysis</subject><subject>Tumors</subject><subject>Ultrasonic imaging</subject><subject>Ultrasonic waves</subject><subject>Ultrasound</subject><subject>Xenografts</subject><issn>1471-2407</issn><issn>1471-2407</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNptkl2L1DAUhoso7rr6B7wqCIIXXZM0adIbYVn8GFgQ_LgOp2kyk6WTzOakg3rnPzezM-gWbC9Sznny9DR9q-olJZeUqu4tUqaUaAijDVGSdI18VJ1TLmnDOJGPHzyfVc8QbwmhUhH1tDprOZc9V_y8-r0K9d7vYw2IFnFrQ66jq3cpYoZsawPB2FQni7sY0NYz-rCu72YI2RfA70tpygkwzmGszQYSmGyT_1V6MRxUp3bwpkYD-dAshvKCnU3ZW3xePXEwoX1xWi-q7x_ef7v-1Nx8_ri6vrppTEdEblw_GjCOtxIAOk5HVy4mZdcRqfhIVd8PggvaDq5lglLZgREARjqQQg1De1Gtjt4xwq3eJb-F9FNH8Pq-ENNaQxnITFYL6wgw23ZSEO56qcZ-ILbjshtMWV1xvTu6dvOwtaMpp5ZgWkiXneA3eh33WnEq-64tglcnQYp3s8Wsb-OcQvl-zYTkXDDK-D9qDWUqH1wsMrP1aPRVmY21jBJZqMv_UOUe7dabGKzzpb7Y8GaxoTDZ_shrmBH16uuXJfv6AbuxMOUNxmk-_F1cguwImhIdTNb9PQ1K9CGu-hhXXeKq7-OqZfsHcJ3d9Q</recordid><startdate>20210903</startdate><enddate>20210903</enddate><creator>Sharma, Deepa</creator><creator>Osapoetra, Laurentius Oscar</creator><creator>Faltyn, Mateusz</creator><creator>Giles, Anoja</creator><creator>Stanisz, Martin</creator><creator>Czarnota, Gregory J</creator><general>BioMed Central Ltd</general><general>BioMed Central</general><general>BMC</general><scope>AAYXX</scope><scope>CITATION</scope><scope>ISR</scope><scope>3V.</scope><scope>7TO</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>H94</scope><scope>K9.</scope><scope>M0S</scope><scope>M1P</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>5PM</scope><scope>DOA</scope></search><sort><creationdate>20210903</creationdate><title>In vivo assessment of prostate cancer response using quantitative ultrasound characterization of ultrasonic scattering properties</title><author>Sharma, Deepa ; Osapoetra, Laurentius Oscar ; Faltyn, Mateusz ; Giles, Anoja ; Stanisz, Martin ; Czarnota, Gregory J</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c605t-f9dcacf437aaa641dffff277660784d1899b54513bf3251176ac5aac7fa758bb3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Acoustics</topic><topic>Apoptosis</topic><topic>Biomarkers</topic><topic>Biopsy</topic><topic>Cancer therapies</topic><topic>Care and treatment</topic><topic>Catheters</topic><topic>Cell death</topic><topic>Chemotherapy</topic><topic>Development and progression</topic><topic>Diagnosis</topic><topic>Health aspects</topic><topic>Hyperthermia</topic><topic>Medical imaging</topic><topic>Morphology</topic><topic>Prostate cancer</topic><topic>Quantitative ultrasound spectroscopy</topic><topic>Spectrum analysis</topic><topic>Statistical analysis</topic><topic>Tumors</topic><topic>Ultrasonic imaging</topic><topic>Ultrasonic waves</topic><topic>Ultrasound</topic><topic>Xenografts</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Sharma, Deepa</creatorcontrib><creatorcontrib>Osapoetra, Laurentius Oscar</creatorcontrib><creatorcontrib>Faltyn, Mateusz</creatorcontrib><creatorcontrib>Giles, Anoja</creatorcontrib><creatorcontrib>Stanisz, Martin</creatorcontrib><creatorcontrib>Czarnota, Gregory J</creatorcontrib><collection>CrossRef</collection><collection>Gale In Context: Science</collection><collection>ProQuest Central (Corporate)</collection><collection>Oncogenes and Growth Factors Abstracts</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</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)</collection><collection>ProQuest Central</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Publicly Available Content Database</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>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>BMC cancer</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Sharma, Deepa</au><au>Osapoetra, Laurentius Oscar</au><au>Faltyn, Mateusz</au><au>Giles, Anoja</au><au>Stanisz, Martin</au><au>Czarnota, Gregory J</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>In vivo assessment of prostate cancer response using quantitative ultrasound characterization of ultrasonic scattering properties</atitle><jtitle>BMC cancer</jtitle><date>2021-09-03</date><risdate>2021</risdate><volume>21</volume><issue>1</issue><spage>1</spage><epage>10</epage><pages>1-10</pages><artnum>991</artnum><issn>1471-2407</issn><eissn>1471-2407</eissn><abstract>Background The study here investigated quantitative ultrasound (QUS) parameters to assess tumour response to ultrasound-stimulated microbubbles (USMB) and hyperthermia (HT) treatment in vivo. Mice bearing prostate cancer xenografts were exposed to various treatment conditions including 1% (v/v) Definity microbubbles stimulated at ultrasound pressures 246 kPa and 570 kPa and HT duration of 0, 10, 40, and 50 min. Ultrasound radiofrequency (RF) data were collected using an ultrasound transducer with a central frequency of 25 MHz. QUS parameters based on form factor models were used as potential biomarkers of cell death in prostate cancer xenografts. Results The average acoustic concentration (AAC) parameter from spherical gaussian and the fluid-filled spherical models were the most efficient imaging biomarker of cell death. Statistical significant increases of AAC were found in the combined treatment groups: 246 kPa + 40 min, 246 kPa + 50 min, and 570 kPa + 50 min, in comparison with control tumours (0 kPa + 0 min). Changes in AAC correlates strongly (r.sup.2 = 0.62) with cell death fraction quantified from the histopathological analysis. Conclusion Scattering property estimates from spherical gaussian and fluid-filled spherical models are useful imaging biomarkers for assessing tumour response to treatment. Our observation of changes in AAC from high ultrasound frequencies was consistent with previous findings where parameters related to the backscatter intensity (AAC) increased with cell death. Keywords: Cell death, Hyperthermia, Prostate cancer, Quantitative ultrasound spectroscopy</abstract><cop>London</cop><pub>BioMed Central Ltd</pub><pmid>34479484</pmid><doi>10.1186/s12885-021-08706-7</doi><tpages>10</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Acoustics Apoptosis Biomarkers Biopsy Cancer therapies Care and treatment Catheters Cell death Chemotherapy Development and progression Diagnosis Health aspects Hyperthermia Medical imaging Morphology Prostate cancer Quantitative ultrasound spectroscopy Spectrum analysis Statistical analysis Tumors Ultrasonic imaging Ultrasonic waves Ultrasound Xenografts |
title | In vivo assessment of prostate cancer response using quantitative ultrasound characterization of ultrasonic scattering properties |
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