Zero TE MRI applications to transcranial MR‐guided focused ultrasound: Patient screening and treatment efficiency estimation
Background The high acoustic impedance of the skull limits the performance of transcranial magnetic resonance‐guided focused ultrasound (tcMRgFUS) therapy. Subject suitability screening is based on skull parameters estimated from computed tomography (CT) scans. Purpose To assess the feasibility of s...
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creator | Caballero‐Insaurriaga, Jaime Rodríguez‐Rojas, Rafael Martínez‐Fernández, Raúl Del‐Alamo, Marta Díaz‐Jiménez, Laura Ávila, María Martínez‐Rodrigo, María García‐Polo, Pablo Pineda‐Pardo, José A. |
description | Background
The high acoustic impedance of the skull limits the performance of transcranial magnetic resonance‐guided focused ultrasound (tcMRgFUS) therapy. Subject suitability screening is based on skull parameters estimated from computed tomography (CT) scans.
Purpose
To assess the feasibility of screening for tcMRgFUS based on zero echo time (ZTE) MRI, and to explore the influence of measurable skull parameters in treatment performance.
Study Type
Retrospective.
Population
Sixteen patients treated with tcMRgFUS thalamotomy for tremor.
Sequence
ZTE on a 3.0T GE scanner.
Assessment
Baseline CT and ZTE images were processed to extract skull measures associated with treatment success: skull density ratio (SDR), skull thickness, and angle of incidence. Eight new metrics were proposed. CT and ZTE‐based measures were compared. Each subject's energy–temperature curve was processed to extract a global estimate of efficiency and a measure of nonlinearity. These parameters were then correlated with the skull measures.
Statistical Tests
Linear regression analysis to compare ZTE vs. CT‐based measures, measures vs. efficiency, and measures vs. nonlinearity. Paired t‐test to assess nonlinearity.
Results
CT and ZTE‐based measures were significantly correlated (P < 0.01). In particular, classical metrics were robustly replicated (P < 0.001). The energy–temperature curves showed a nonlinear (logarithmic) relationship (P < 0.01). This nonlinearity was greater for thicker skulls (P < 0.01). Efficiency was correlated with skull thickness (P < 0.001) and SDR (P < 0.05).
Data Conclusion
The feasibility of ZTE‐based screening has been proven, potentially making it possible to avoid ionizing radiation and the extra imaging session required for CT. The characterization of the influence that skull properties have on tcMRgFUS may serve to develop patient‐specific heating models, potentially improving control over the treatment outcome. The relationship of skull thickness with efficiency and nonlinearity empowers the role of this metric in the definition of such models. In addition, the lower association of SDR with the energy–temperature curves emphasizes the need of revisiting this metric.
Level of Evidence: 3
Technical Efficacy: Stage 2
J. Magn. Reson. Imaging 2019;50:1583–1592. |
doi_str_mv | 10.1002/jmri.26746 |
format | Article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_2305672305</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2305672305</sourcerecordid><originalsourceid>FETCH-LOGICAL-c3576-ca63ec38bb80558a3976821bdccc2c265d9622d4f4b4ce2e7e55ae72212bce6e3</originalsourceid><addsrcrecordid>eNp9kM9KxDAQxoMorv8uPoAEvAnVNGnS1puIf1EUWS9eSppOJUu3rUmL7EV8BJ_RJ3G6XT16mRmG33zf8BGyH7LjkDF-Mps7e8xVHKk1shVKzgMuE7WOM5MiCBMWT8i29zPGWJpGcpNMBA4sFckW-XgB19DpBb1_uqG6bStrdGeb2tOuoZ3TtTdYrK4Q-P78eu1tAQUtG9N77H2FiG_6ujilj3gHdUfxAKC29SvVdYESoLv5sIeytAYJs6DgOztf2uySjVJXHvZWfYc8X15Mz6-Du4erm_Ozu8AIGavAaCXAiCTPEyZlokUaq4SHeWGM4YYrWaSK8yIqozwywCEGKTXEnIc8N6BA7JDDUbd1zVuP_tms6V2NlhkXTKp4qEgdjZRxjfcOyqx1-KhbZCHLhqizIepsGTXCByvJPp9D8Yf-ZotAOALvtoLFP1LZLYY_iv4AZ4SMkw</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2305672305</pqid></control><display><type>article</type><title>Zero TE MRI applications to transcranial MR‐guided focused ultrasound: Patient screening and treatment efficiency estimation</title><source>Wiley Online Library Journals Frontfile Complete</source><source>Wiley Free Content</source><creator>Caballero‐Insaurriaga, Jaime ; Rodríguez‐Rojas, Rafael ; Martínez‐Fernández, Raúl ; Del‐Alamo, Marta ; Díaz‐Jiménez, Laura ; Ávila, María ; Martínez‐Rodrigo, María ; García‐Polo, Pablo ; Pineda‐Pardo, José A.</creator><creatorcontrib>Caballero‐Insaurriaga, Jaime ; Rodríguez‐Rojas, Rafael ; Martínez‐Fernández, Raúl ; Del‐Alamo, Marta ; Díaz‐Jiménez, Laura ; Ávila, María ; Martínez‐Rodrigo, María ; García‐Polo, Pablo ; Pineda‐Pardo, José A.</creatorcontrib><description><![CDATA[Background
The high acoustic impedance of the skull limits the performance of transcranial magnetic resonance‐guided focused ultrasound (tcMRgFUS) therapy. Subject suitability screening is based on skull parameters estimated from computed tomography (CT) scans.
Purpose
To assess the feasibility of screening for tcMRgFUS based on zero echo time (ZTE) MRI, and to explore the influence of measurable skull parameters in treatment performance.
Study Type
Retrospective.
Population
Sixteen patients treated with tcMRgFUS thalamotomy for tremor.
Sequence
ZTE on a 3.0T GE scanner.
Assessment
Baseline CT and ZTE images were processed to extract skull measures associated with treatment success: skull density ratio (SDR), skull thickness, and angle of incidence. Eight new metrics were proposed. CT and ZTE‐based measures were compared. Each subject's energy–temperature curve was processed to extract a global estimate of efficiency and a measure of nonlinearity. These parameters were then correlated with the skull measures.
Statistical Tests
Linear regression analysis to compare ZTE vs. CT‐based measures, measures vs. efficiency, and measures vs. nonlinearity. Paired t‐test to assess nonlinearity.
Results
CT and ZTE‐based measures were significantly correlated (P < 0.01). In particular, classical metrics were robustly replicated (P < 0.001). The energy–temperature curves showed a nonlinear (logarithmic) relationship (P < 0.01). This nonlinearity was greater for thicker skulls (P < 0.01). Efficiency was correlated with skull thickness (P < 0.001) and SDR (P < 0.05).
Data Conclusion
The feasibility of ZTE‐based screening has been proven, potentially making it possible to avoid ionizing radiation and the extra imaging session required for CT. The characterization of the influence that skull properties have on tcMRgFUS may serve to develop patient‐specific heating models, potentially improving control over the treatment outcome. The relationship of skull thickness with efficiency and nonlinearity empowers the role of this metric in the definition of such models. In addition, the lower association of SDR with the energy–temperature curves emphasizes the need of revisiting this metric.
Level of Evidence: 3
Technical Efficacy: Stage 2
J. Magn. Reson. Imaging 2019;50:1583–1592.]]></description><identifier>ISSN: 1053-1807</identifier><identifier>EISSN: 1522-2586</identifier><identifier>DOI: 10.1002/jmri.26746</identifier><identifier>PMID: 30990938</identifier><language>eng</language><publisher>Hoboken, USA: John Wiley & Sons, Inc</publisher><subject>Acoustic impedance ; Acoustic resonance ; Computed tomography ; Correlation analysis ; Density ratio ; Efficiency ; Energy ; Feasibility studies ; focused ultrasound ; Incidence angle ; Ionizing radiation ; Magnetic resonance imaging ; Mathematical models ; Medical imaging ; Nonlinear systems ; Nonlinearity ; Parameter estimation ; Population studies ; Regression analysis ; Screening ; SDR ; Skull ; Statistical analysis ; Statistical tests ; Temperature effects ; thalamotomy ; Thickness ; Tremor ; Ultrasonic imaging ; Ultrasound ; ZTE</subject><ispartof>Journal of magnetic resonance imaging, 2019-11, Vol.50 (5), p.1583-1592</ispartof><rights>2019 International Society for Magnetic Resonance in Medicine</rights><rights>2019 International Society for Magnetic Resonance in Medicine.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c3576-ca63ec38bb80558a3976821bdccc2c265d9622d4f4b4ce2e7e55ae72212bce6e3</citedby><cites>FETCH-LOGICAL-c3576-ca63ec38bb80558a3976821bdccc2c265d9622d4f4b4ce2e7e55ae72212bce6e3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1002%2Fjmri.26746$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1002%2Fjmri.26746$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,777,781,1412,1428,27905,27906,45555,45556,46390,46814</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/30990938$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Caballero‐Insaurriaga, Jaime</creatorcontrib><creatorcontrib>Rodríguez‐Rojas, Rafael</creatorcontrib><creatorcontrib>Martínez‐Fernández, Raúl</creatorcontrib><creatorcontrib>Del‐Alamo, Marta</creatorcontrib><creatorcontrib>Díaz‐Jiménez, Laura</creatorcontrib><creatorcontrib>Ávila, María</creatorcontrib><creatorcontrib>Martínez‐Rodrigo, María</creatorcontrib><creatorcontrib>García‐Polo, Pablo</creatorcontrib><creatorcontrib>Pineda‐Pardo, José A.</creatorcontrib><title>Zero TE MRI applications to transcranial MR‐guided focused ultrasound: Patient screening and treatment efficiency estimation</title><title>Journal of magnetic resonance imaging</title><addtitle>J Magn Reson Imaging</addtitle><description><![CDATA[Background
The high acoustic impedance of the skull limits the performance of transcranial magnetic resonance‐guided focused ultrasound (tcMRgFUS) therapy. Subject suitability screening is based on skull parameters estimated from computed tomography (CT) scans.
Purpose
To assess the feasibility of screening for tcMRgFUS based on zero echo time (ZTE) MRI, and to explore the influence of measurable skull parameters in treatment performance.
Study Type
Retrospective.
Population
Sixteen patients treated with tcMRgFUS thalamotomy for tremor.
Sequence
ZTE on a 3.0T GE scanner.
Assessment
Baseline CT and ZTE images were processed to extract skull measures associated with treatment success: skull density ratio (SDR), skull thickness, and angle of incidence. Eight new metrics were proposed. CT and ZTE‐based measures were compared. Each subject's energy–temperature curve was processed to extract a global estimate of efficiency and a measure of nonlinearity. These parameters were then correlated with the skull measures.
Statistical Tests
Linear regression analysis to compare ZTE vs. CT‐based measures, measures vs. efficiency, and measures vs. nonlinearity. Paired t‐test to assess nonlinearity.
Results
CT and ZTE‐based measures were significantly correlated (P < 0.01). In particular, classical metrics were robustly replicated (P < 0.001). The energy–temperature curves showed a nonlinear (logarithmic) relationship (P < 0.01). This nonlinearity was greater for thicker skulls (P < 0.01). Efficiency was correlated with skull thickness (P < 0.001) and SDR (P < 0.05).
Data Conclusion
The feasibility of ZTE‐based screening has been proven, potentially making it possible to avoid ionizing radiation and the extra imaging session required for CT. The characterization of the influence that skull properties have on tcMRgFUS may serve to develop patient‐specific heating models, potentially improving control over the treatment outcome. The relationship of skull thickness with efficiency and nonlinearity empowers the role of this metric in the definition of such models. In addition, the lower association of SDR with the energy–temperature curves emphasizes the need of revisiting this metric.
Level of Evidence: 3
Technical Efficacy: Stage 2
J. Magn. Reson. Imaging 2019;50:1583–1592.]]></description><subject>Acoustic impedance</subject><subject>Acoustic resonance</subject><subject>Computed tomography</subject><subject>Correlation analysis</subject><subject>Density ratio</subject><subject>Efficiency</subject><subject>Energy</subject><subject>Feasibility studies</subject><subject>focused ultrasound</subject><subject>Incidence angle</subject><subject>Ionizing radiation</subject><subject>Magnetic resonance imaging</subject><subject>Mathematical models</subject><subject>Medical imaging</subject><subject>Nonlinear systems</subject><subject>Nonlinearity</subject><subject>Parameter estimation</subject><subject>Population studies</subject><subject>Regression analysis</subject><subject>Screening</subject><subject>SDR</subject><subject>Skull</subject><subject>Statistical analysis</subject><subject>Statistical tests</subject><subject>Temperature effects</subject><subject>thalamotomy</subject><subject>Thickness</subject><subject>Tremor</subject><subject>Ultrasonic imaging</subject><subject>Ultrasound</subject><subject>ZTE</subject><issn>1053-1807</issn><issn>1522-2586</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><recordid>eNp9kM9KxDAQxoMorv8uPoAEvAnVNGnS1puIf1EUWS9eSppOJUu3rUmL7EV8BJ_RJ3G6XT16mRmG33zf8BGyH7LjkDF-Mps7e8xVHKk1shVKzgMuE7WOM5MiCBMWT8i29zPGWJpGcpNMBA4sFckW-XgB19DpBb1_uqG6bStrdGeb2tOuoZ3TtTdYrK4Q-P78eu1tAQUtG9N77H2FiG_6ujilj3gHdUfxAKC29SvVdYESoLv5sIeytAYJs6DgOztf2uySjVJXHvZWfYc8X15Mz6-Du4erm_Ozu8AIGavAaCXAiCTPEyZlokUaq4SHeWGM4YYrWaSK8yIqozwywCEGKTXEnIc8N6BA7JDDUbd1zVuP_tms6V2NlhkXTKp4qEgdjZRxjfcOyqx1-KhbZCHLhqizIepsGTXCByvJPp9D8Yf-ZotAOALvtoLFP1LZLYY_iv4AZ4SMkw</recordid><startdate>201911</startdate><enddate>201911</enddate><creator>Caballero‐Insaurriaga, Jaime</creator><creator>Rodríguez‐Rojas, Rafael</creator><creator>Martínez‐Fernández, Raúl</creator><creator>Del‐Alamo, Marta</creator><creator>Díaz‐Jiménez, Laura</creator><creator>Ávila, María</creator><creator>Martínez‐Rodrigo, María</creator><creator>García‐Polo, Pablo</creator><creator>Pineda‐Pardo, José A.</creator><general>John Wiley & Sons, Inc</general><general>Wiley Subscription Services, Inc</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QO</scope><scope>7TK</scope><scope>8FD</scope><scope>FR3</scope><scope>K9.</scope><scope>P64</scope></search><sort><creationdate>201911</creationdate><title>Zero TE MRI applications to transcranial MR‐guided focused ultrasound: Patient screening and treatment efficiency estimation</title><author>Caballero‐Insaurriaga, Jaime ; Rodríguez‐Rojas, Rafael ; Martínez‐Fernández, Raúl ; Del‐Alamo, Marta ; Díaz‐Jiménez, Laura ; Ávila, María ; Martínez‐Rodrigo, María ; García‐Polo, Pablo ; Pineda‐Pardo, José A.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3576-ca63ec38bb80558a3976821bdccc2c265d9622d4f4b4ce2e7e55ae72212bce6e3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Acoustic impedance</topic><topic>Acoustic resonance</topic><topic>Computed tomography</topic><topic>Correlation analysis</topic><topic>Density ratio</topic><topic>Efficiency</topic><topic>Energy</topic><topic>Feasibility studies</topic><topic>focused ultrasound</topic><topic>Incidence angle</topic><topic>Ionizing radiation</topic><topic>Magnetic resonance imaging</topic><topic>Mathematical models</topic><topic>Medical imaging</topic><topic>Nonlinear systems</topic><topic>Nonlinearity</topic><topic>Parameter estimation</topic><topic>Population studies</topic><topic>Regression analysis</topic><topic>Screening</topic><topic>SDR</topic><topic>Skull</topic><topic>Statistical analysis</topic><topic>Statistical tests</topic><topic>Temperature effects</topic><topic>thalamotomy</topic><topic>Thickness</topic><topic>Tremor</topic><topic>Ultrasonic imaging</topic><topic>Ultrasound</topic><topic>ZTE</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Caballero‐Insaurriaga, Jaime</creatorcontrib><creatorcontrib>Rodríguez‐Rojas, Rafael</creatorcontrib><creatorcontrib>Martínez‐Fernández, Raúl</creatorcontrib><creatorcontrib>Del‐Alamo, Marta</creatorcontrib><creatorcontrib>Díaz‐Jiménez, Laura</creatorcontrib><creatorcontrib>Ávila, María</creatorcontrib><creatorcontrib>Martínez‐Rodrigo, María</creatorcontrib><creatorcontrib>García‐Polo, Pablo</creatorcontrib><creatorcontrib>Pineda‐Pardo, José A.</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>Biotechnology Research Abstracts</collection><collection>Neurosciences Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Biotechnology and BioEngineering Abstracts</collection><jtitle>Journal of magnetic resonance imaging</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Caballero‐Insaurriaga, Jaime</au><au>Rodríguez‐Rojas, Rafael</au><au>Martínez‐Fernández, Raúl</au><au>Del‐Alamo, Marta</au><au>Díaz‐Jiménez, Laura</au><au>Ávila, María</au><au>Martínez‐Rodrigo, María</au><au>García‐Polo, Pablo</au><au>Pineda‐Pardo, José A.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Zero TE MRI applications to transcranial MR‐guided focused ultrasound: Patient screening and treatment efficiency estimation</atitle><jtitle>Journal of magnetic resonance imaging</jtitle><addtitle>J Magn Reson Imaging</addtitle><date>2019-11</date><risdate>2019</risdate><volume>50</volume><issue>5</issue><spage>1583</spage><epage>1592</epage><pages>1583-1592</pages><issn>1053-1807</issn><eissn>1522-2586</eissn><abstract><![CDATA[Background
The high acoustic impedance of the skull limits the performance of transcranial magnetic resonance‐guided focused ultrasound (tcMRgFUS) therapy. Subject suitability screening is based on skull parameters estimated from computed tomography (CT) scans.
Purpose
To assess the feasibility of screening for tcMRgFUS based on zero echo time (ZTE) MRI, and to explore the influence of measurable skull parameters in treatment performance.
Study Type
Retrospective.
Population
Sixteen patients treated with tcMRgFUS thalamotomy for tremor.
Sequence
ZTE on a 3.0T GE scanner.
Assessment
Baseline CT and ZTE images were processed to extract skull measures associated with treatment success: skull density ratio (SDR), skull thickness, and angle of incidence. Eight new metrics were proposed. CT and ZTE‐based measures were compared. Each subject's energy–temperature curve was processed to extract a global estimate of efficiency and a measure of nonlinearity. These parameters were then correlated with the skull measures.
Statistical Tests
Linear regression analysis to compare ZTE vs. CT‐based measures, measures vs. efficiency, and measures vs. nonlinearity. Paired t‐test to assess nonlinearity.
Results
CT and ZTE‐based measures were significantly correlated (P < 0.01). In particular, classical metrics were robustly replicated (P < 0.001). The energy–temperature curves showed a nonlinear (logarithmic) relationship (P < 0.01). This nonlinearity was greater for thicker skulls (P < 0.01). Efficiency was correlated with skull thickness (P < 0.001) and SDR (P < 0.05).
Data Conclusion
The feasibility of ZTE‐based screening has been proven, potentially making it possible to avoid ionizing radiation and the extra imaging session required for CT. The characterization of the influence that skull properties have on tcMRgFUS may serve to develop patient‐specific heating models, potentially improving control over the treatment outcome. The relationship of skull thickness with efficiency and nonlinearity empowers the role of this metric in the definition of such models. In addition, the lower association of SDR with the energy–temperature curves emphasizes the need of revisiting this metric.
Level of Evidence: 3
Technical Efficacy: Stage 2
J. Magn. Reson. Imaging 2019;50:1583–1592.]]></abstract><cop>Hoboken, USA</cop><pub>John Wiley & Sons, Inc</pub><pmid>30990938</pmid><doi>10.1002/jmri.26746</doi><tpages>10</tpages></addata></record> |
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source | Wiley Online Library Journals Frontfile Complete; Wiley Free Content |
subjects | Acoustic impedance Acoustic resonance Computed tomography Correlation analysis Density ratio Efficiency Energy Feasibility studies focused ultrasound Incidence angle Ionizing radiation Magnetic resonance imaging Mathematical models Medical imaging Nonlinear systems Nonlinearity Parameter estimation Population studies Regression analysis Screening SDR Skull Statistical analysis Statistical tests Temperature effects thalamotomy Thickness Tremor Ultrasonic imaging Ultrasound ZTE |
title | Zero TE MRI applications to transcranial MR‐guided focused ultrasound: Patient screening and treatment efficiency estimation |
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