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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Veröffentlicht in:Journal of magnetic resonance imaging 2019-11, Vol.50 (5), p.1583-1592
Hauptverfasser: 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.
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container_end_page 1592
container_issue 5
container_start_page 1583
container_title Journal of magnetic resonance imaging
container_volume 50
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
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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 &amp; 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. 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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 &amp; 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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 &amp; 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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