Optimization of the differentiation and quantification of high‐Z nanoparticles incorporated in medical devices for CT‐guided interventions

Purpose Material differentiation has been made possible using dual‐energy computed tomography (DECT), in which the unique, energy‐dependent attenuating characteristics of materials can provide new diagnostic information. One promising application is the clinical integration of biodegradable polymers...

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Veröffentlicht in:Medical physics (Lancaster) 2021-01, Vol.48 (1), p.300-312
Hauptverfasser: Perez, Joy Vanessa D., Jacobsen, Megan C., Damasco, Jossana A., Melancon, Adam, Huang, Steven Y., Layman, Rick R., Melancon, Marites P.
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container_end_page 312
container_issue 1
container_start_page 300
container_title Medical physics (Lancaster)
container_volume 48
creator Perez, Joy Vanessa D.
Jacobsen, Megan C.
Damasco, Jossana A.
Melancon, Adam
Huang, Steven Y.
Layman, Rick R.
Melancon, Marites P.
description Purpose Material differentiation has been made possible using dual‐energy computed tomography (DECT), in which the unique, energy‐dependent attenuating characteristics of materials can provide new diagnostic information. One promising application is the clinical integration of biodegradable polymers as temporary implantable medical devices impregnated with high‐atomic number (high‐Z) materials. The purpose of this study was to explore the incorporation of high atomic number (high‐Z) contrast materials in a bioresorbable inferior vena cava filter for advanced CT‐based monitoring of its location and differentiating from surrounding materials. Materials and methods Imaging optimization and calibration studies were performed using a body phantom. The dual‐energy CT (DECT) ratios for iron, zirconium, barium, gadolinium, ytterbium, tantalum, tungsten, gold, and bismuth were generated for peak kilovoltage combinations of 80/150Sn, 90/150Sn, and 100/150Sn kVp in dual‐source CT via linear regression of the CT numbers at low and high energies. A secondary calibration of the material map to the nominal material concentration was generated to correct for use of materials other than iodine. CT number was calibrated to the material concentration based on single‐energy CT (SECT) with additional filtration (150Sn kVp). These quantification methods were applied to monitoring of biodegradable inferior vena cava filters (IVCFs) made of braided poly(p‐dioxanone) sutures infused with ultrasmall bismuth nanoparticles (BiNPs) implanted in an adult domestic pig. Results Qualitative material differentiation was optimal for high‐Z (>73) contrast agents in DECT. However, quantification became nonlinear and inaccurate as the K‐edge of the material increased. Using the high‐energy (150Sn kVp) data component as a SECT scan, the linearity of quantification curves was maintained with lower limits of detection than with DECT. Among the materials tested, bismuth had optimal differentiation from iodine in DECT while maintaining increased contrast in high‐energy SECT for quantification (11.5% error). Coating the IVCF with BiNPs resulted in markedly greater radiopacity (maximum CT number, 2028 HU) than that of an uncoated IVCF (maximum CT number, 127 HU). Using DECT imaging and processing, the BiNP‐IVCF could be clearly differentiated from iodine contrast injected into the inferior vena cava of the pig. Conclusions These findings may improve widespread integration of medical devices incorpora
doi_str_mv 10.1002/mp.14601
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One promising application is the clinical integration of biodegradable polymers as temporary implantable medical devices impregnated with high‐atomic number (high‐Z) materials. The purpose of this study was to explore the incorporation of high atomic number (high‐Z) contrast materials in a bioresorbable inferior vena cava filter for advanced CT‐based monitoring of its location and differentiating from surrounding materials. Materials and methods Imaging optimization and calibration studies were performed using a body phantom. The dual‐energy CT (DECT) ratios for iron, zirconium, barium, gadolinium, ytterbium, tantalum, tungsten, gold, and bismuth were generated for peak kilovoltage combinations of 80/150Sn, 90/150Sn, and 100/150Sn kVp in dual‐source CT via linear regression of the CT numbers at low and high energies. A secondary calibration of the material map to the nominal material concentration was generated to correct for use of materials other than iodine. CT number was calibrated to the material concentration based on single‐energy CT (SECT) with additional filtration (150Sn kVp). These quantification methods were applied to monitoring of biodegradable inferior vena cava filters (IVCFs) made of braided poly(p‐dioxanone) sutures infused with ultrasmall bismuth nanoparticles (BiNPs) implanted in an adult domestic pig. Results Qualitative material differentiation was optimal for high‐Z (&gt;73) contrast agents in DECT. However, quantification became nonlinear and inaccurate as the K‐edge of the material increased. Using the high‐energy (150Sn kVp) data component as a SECT scan, the linearity of quantification curves was maintained with lower limits of detection than with DECT. Among the materials tested, bismuth had optimal differentiation from iodine in DECT while maintaining increased contrast in high‐energy SECT for quantification (11.5% error). Coating the IVCF with BiNPs resulted in markedly greater radiopacity (maximum CT number, 2028 HU) than that of an uncoated IVCF (maximum CT number, 127 HU). Using DECT imaging and processing, the BiNP‐IVCF could be clearly differentiated from iodine contrast injected into the inferior vena cava of the pig. Conclusions These findings may improve widespread integration of medical devices incorporated with high‐Z materials into the clinic, where technical success, possible complications, and device integrity can be assessed intraoperatively and postoperatively via DECT imaging.</description><identifier>ISSN: 0094-2405</identifier><identifier>EISSN: 2473-4209</identifier><identifier>DOI: 10.1002/mp.14601</identifier><identifier>PMID: 33216978</identifier><language>eng</language><publisher>United States</publisher><subject>Animals ; Calibration ; dual‐energy computed tomography ; high‐Z materials ; Iodine ; material decomposition ; Nanoparticles ; Phantoms, Imaging ; Swine ; Tomography, X-Ray Computed</subject><ispartof>Medical physics (Lancaster), 2021-01, Vol.48 (1), p.300-312</ispartof><rights>2020 American Association of Physicists in Medicine</rights><rights>2020 American Association of Physicists in Medicine.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c4101-8969cd395da30712cef07fcfa4a2d4295c00f21e22b816d7f19c891fa14c33dd3</citedby><cites>FETCH-LOGICAL-c4101-8969cd395da30712cef07fcfa4a2d4295c00f21e22b816d7f19c891fa14c33dd3</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%2Fmp.14601$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1002%2Fmp.14601$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>230,314,780,784,885,1417,27924,27925,45574,45575</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/33216978$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Perez, Joy Vanessa D.</creatorcontrib><creatorcontrib>Jacobsen, Megan C.</creatorcontrib><creatorcontrib>Damasco, Jossana A.</creatorcontrib><creatorcontrib>Melancon, Adam</creatorcontrib><creatorcontrib>Huang, Steven Y.</creatorcontrib><creatorcontrib>Layman, Rick R.</creatorcontrib><creatorcontrib>Melancon, Marites P.</creatorcontrib><title>Optimization of the differentiation and quantification of high‐Z nanoparticles incorporated in medical devices for CT‐guided interventions</title><title>Medical physics (Lancaster)</title><addtitle>Med Phys</addtitle><description>Purpose Material differentiation has been made possible using dual‐energy computed tomography (DECT), in which the unique, energy‐dependent attenuating characteristics of materials can provide new diagnostic information. One promising application is the clinical integration of biodegradable polymers as temporary implantable medical devices impregnated with high‐atomic number (high‐Z) materials. The purpose of this study was to explore the incorporation of high atomic number (high‐Z) contrast materials in a bioresorbable inferior vena cava filter for advanced CT‐based monitoring of its location and differentiating from surrounding materials. Materials and methods Imaging optimization and calibration studies were performed using a body phantom. The dual‐energy CT (DECT) ratios for iron, zirconium, barium, gadolinium, ytterbium, tantalum, tungsten, gold, and bismuth were generated for peak kilovoltage combinations of 80/150Sn, 90/150Sn, and 100/150Sn kVp in dual‐source CT via linear regression of the CT numbers at low and high energies. A secondary calibration of the material map to the nominal material concentration was generated to correct for use of materials other than iodine. CT number was calibrated to the material concentration based on single‐energy CT (SECT) with additional filtration (150Sn kVp). These quantification methods were applied to monitoring of biodegradable inferior vena cava filters (IVCFs) made of braided poly(p‐dioxanone) sutures infused with ultrasmall bismuth nanoparticles (BiNPs) implanted in an adult domestic pig. Results Qualitative material differentiation was optimal for high‐Z (&gt;73) contrast agents in DECT. However, quantification became nonlinear and inaccurate as the K‐edge of the material increased. Using the high‐energy (150Sn kVp) data component as a SECT scan, the linearity of quantification curves was maintained with lower limits of detection than with DECT. Among the materials tested, bismuth had optimal differentiation from iodine in DECT while maintaining increased contrast in high‐energy SECT for quantification (11.5% error). Coating the IVCF with BiNPs resulted in markedly greater radiopacity (maximum CT number, 2028 HU) than that of an uncoated IVCF (maximum CT number, 127 HU). Using DECT imaging and processing, the BiNP‐IVCF could be clearly differentiated from iodine contrast injected into the inferior vena cava of the pig. Conclusions These findings may improve widespread integration of medical devices incorporated with high‐Z materials into the clinic, where technical success, possible complications, and device integrity can be assessed intraoperatively and postoperatively via DECT imaging.</description><subject>Animals</subject><subject>Calibration</subject><subject>dual‐energy computed tomography</subject><subject>high‐Z materials</subject><subject>Iodine</subject><subject>material decomposition</subject><subject>Nanoparticles</subject><subject>Phantoms, Imaging</subject><subject>Swine</subject><subject>Tomography, X-Ray Computed</subject><issn>0094-2405</issn><issn>2473-4209</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp1kc1OGzEUha0K1KRppT4B8pLNhOufzIw3lVBEKRIIFummG8v4JzGaGQ-eSVC64gkQz9gnqclAVBZdWdf3O-dc6SD0lcCUANCTup0SngP5gMaUFyzjFMQBGgMInlEOsxH61HV3AJCzGXxEI8YoyUVRjtHTddv72v9WvQ8NDg73K4uNd85G2_R--FaNwfdrlWbn9Z5c-eXqz-PzL9yoJrQq9l5XtsO-0SG2IaremjTg2pokqrCxG6_T3oWI54skXK692SG9jZuXsNB0n9GhU1Vnv7y-E_Tz-9li_iO7vD6_mJ9eZpoTIFkpcqENEzOjGBSEauugcNoprqjhVMw0gKPEUnpbktwUjghdCuIU4ZoxY9gEfRt82_VtOlCn-Kgq2UZfq7iVQXn5ftP4lVyGjSxBFAUnyeB4MNAxdF20bq8lIF86kXUrd50k9OjfrD34VkICsgF48JXd_tdIXt0Mhn8BdaicOg</recordid><startdate>202101</startdate><enddate>202101</enddate><creator>Perez, Joy Vanessa D.</creator><creator>Jacobsen, Megan C.</creator><creator>Damasco, Jossana A.</creator><creator>Melancon, Adam</creator><creator>Huang, Steven Y.</creator><creator>Layman, Rick R.</creator><creator>Melancon, Marites P.</creator><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>5PM</scope></search><sort><creationdate>202101</creationdate><title>Optimization of the differentiation and quantification of high‐Z nanoparticles incorporated in medical devices for CT‐guided interventions</title><author>Perez, Joy Vanessa D. ; Jacobsen, Megan C. ; Damasco, Jossana A. ; Melancon, Adam ; Huang, Steven Y. ; Layman, Rick R. ; Melancon, Marites P.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c4101-8969cd395da30712cef07fcfa4a2d4295c00f21e22b816d7f19c891fa14c33dd3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Animals</topic><topic>Calibration</topic><topic>dual‐energy computed tomography</topic><topic>high‐Z materials</topic><topic>Iodine</topic><topic>material decomposition</topic><topic>Nanoparticles</topic><topic>Phantoms, Imaging</topic><topic>Swine</topic><topic>Tomography, X-Ray Computed</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Perez, Joy Vanessa D.</creatorcontrib><creatorcontrib>Jacobsen, Megan C.</creatorcontrib><creatorcontrib>Damasco, Jossana A.</creatorcontrib><creatorcontrib>Melancon, Adam</creatorcontrib><creatorcontrib>Huang, Steven Y.</creatorcontrib><creatorcontrib>Layman, Rick R.</creatorcontrib><creatorcontrib>Melancon, Marites P.</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Medical physics (Lancaster)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Perez, Joy Vanessa D.</au><au>Jacobsen, Megan C.</au><au>Damasco, Jossana A.</au><au>Melancon, Adam</au><au>Huang, Steven Y.</au><au>Layman, Rick R.</au><au>Melancon, Marites P.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Optimization of the differentiation and quantification of high‐Z nanoparticles incorporated in medical devices for CT‐guided interventions</atitle><jtitle>Medical physics (Lancaster)</jtitle><addtitle>Med Phys</addtitle><date>2021-01</date><risdate>2021</risdate><volume>48</volume><issue>1</issue><spage>300</spage><epage>312</epage><pages>300-312</pages><issn>0094-2405</issn><eissn>2473-4209</eissn><abstract>Purpose Material differentiation has been made possible using dual‐energy computed tomography (DECT), in which the unique, energy‐dependent attenuating characteristics of materials can provide new diagnostic information. One promising application is the clinical integration of biodegradable polymers as temporary implantable medical devices impregnated with high‐atomic number (high‐Z) materials. The purpose of this study was to explore the incorporation of high atomic number (high‐Z) contrast materials in a bioresorbable inferior vena cava filter for advanced CT‐based monitoring of its location and differentiating from surrounding materials. Materials and methods Imaging optimization and calibration studies were performed using a body phantom. The dual‐energy CT (DECT) ratios for iron, zirconium, barium, gadolinium, ytterbium, tantalum, tungsten, gold, and bismuth were generated for peak kilovoltage combinations of 80/150Sn, 90/150Sn, and 100/150Sn kVp in dual‐source CT via linear regression of the CT numbers at low and high energies. A secondary calibration of the material map to the nominal material concentration was generated to correct for use of materials other than iodine. CT number was calibrated to the material concentration based on single‐energy CT (SECT) with additional filtration (150Sn kVp). These quantification methods were applied to monitoring of biodegradable inferior vena cava filters (IVCFs) made of braided poly(p‐dioxanone) sutures infused with ultrasmall bismuth nanoparticles (BiNPs) implanted in an adult domestic pig. Results Qualitative material differentiation was optimal for high‐Z (&gt;73) contrast agents in DECT. However, quantification became nonlinear and inaccurate as the K‐edge of the material increased. Using the high‐energy (150Sn kVp) data component as a SECT scan, the linearity of quantification curves was maintained with lower limits of detection than with DECT. Among the materials tested, bismuth had optimal differentiation from iodine in DECT while maintaining increased contrast in high‐energy SECT for quantification (11.5% error). Coating the IVCF with BiNPs resulted in markedly greater radiopacity (maximum CT number, 2028 HU) than that of an uncoated IVCF (maximum CT number, 127 HU). Using DECT imaging and processing, the BiNP‐IVCF could be clearly differentiated from iodine contrast injected into the inferior vena cava of the pig. Conclusions These findings may improve widespread integration of medical devices incorporated with high‐Z materials into the clinic, where technical success, possible complications, and device integrity can be assessed intraoperatively and postoperatively via DECT imaging.</abstract><cop>United States</cop><pmid>33216978</pmid><doi>10.1002/mp.14601</doi><tpages>13</tpages><oa>free_for_read</oa></addata></record>
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source MEDLINE; Wiley Online Library Journals Frontfile Complete; Alma/SFX Local Collection
subjects Animals
Calibration
dual‐energy computed tomography
high‐Z materials
Iodine
material decomposition
Nanoparticles
Phantoms, Imaging
Swine
Tomography, X-Ray Computed
title Optimization of the differentiation and quantification of high‐Z nanoparticles incorporated in medical devices for CT‐guided interventions
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