View in EDS HTML Full Text PDF Full Text

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

Saved in:
Bibliographic Details
Title: Optimization of the differentiation and quantification of high‐Z nanoparticles incorporated in medical devices for CT‐guided interventions.
Authors: Perez, Joy Vanessa D.1,2 (AUTHOR), Jacobsen, Megan C.3 (AUTHOR), Damasco, Jossana A.1 (AUTHOR), Melancon, Adam4 (AUTHOR), Huang, Steven Y.1 (AUTHOR), Layman, Rick R.3 (AUTHOR), Melancon, Marites P.1,5 (AUTHOR) mmelancon@mdanderson.org
Source: Medical Physics. Jan2021, Vol. 48 Issue 1, p300-312. 13p.
Subjects: Computed tomography, Medical equipment, Vena cava inferior, Iodine, Materials testing, Bismuth, Swine, Atomic number
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 (>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 FROM AUTHOR]
Copyright of Medical Physics is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
Full text is not displayed to guests.
FullText Links:
  – Type: pdflink
Text:
  Availability: 1
Header DbId: egs
DbLabel: Engineering Source
An: 148364043
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Optimization of the differentiation and quantification of high‐Z nanoparticles incorporated in medical devices for CT‐guided interventions.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Perez%2C+Joy+Vanessa+D%2E%22">Perez, Joy Vanessa D.</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Jacobsen%2C+Megan+C%2E%22">Jacobsen, Megan C.</searchLink><relatesTo>3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Damasco%2C+Jossana+A%2E%22">Damasco, Jossana A.</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Melancon%2C+Adam%22">Melancon, Adam</searchLink><relatesTo>4</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Huang%2C+Steven+Y%2E%22">Huang, Steven Y.</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Layman%2C+Rick+R%2E%22">Layman, Rick R.</searchLink><relatesTo>3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Melancon%2C+Marites+P%2E%22">Melancon, Marites P.</searchLink><relatesTo>1,5</relatesTo> (AUTHOR)<i> mmelancon@mdanderson.org</i>
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22Medical+Physics%22">Medical Physics</searchLink>. Jan2021, Vol. 48 Issue 1, p300-312. 13p.
– Name: Subject
  Label: Subjects
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Computed+tomography%22">Computed tomography</searchLink><br /><searchLink fieldCode="DE" term="%22Medical+equipment%22">Medical equipment</searchLink><br /><searchLink fieldCode="DE" term="%22Vena+cava+inferior%22">Vena cava inferior</searchLink><br /><searchLink fieldCode="DE" term="%22Iodine%22">Iodine</searchLink><br /><searchLink fieldCode="DE" term="%22Materials+testing%22">Materials testing</searchLink><br /><searchLink fieldCode="DE" term="%22Bismuth%22">Bismuth</searchLink><br /><searchLink fieldCode="DE" term="%22Swine%22">Swine</searchLink><br /><searchLink fieldCode="DE" term="%22Atomic+number%22">Atomic number</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: 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 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 FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Medical Physics is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=148364043
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1002/mp.14601
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 13
        StartPage: 300
    Subjects:
      – SubjectFull: Computed tomography
        Type: general
      – SubjectFull: Medical equipment
        Type: general
      – SubjectFull: Vena cava inferior
        Type: general
      – SubjectFull: Iodine
        Type: general
      – SubjectFull: Materials testing
        Type: general
      – SubjectFull: Bismuth
        Type: general
      – SubjectFull: Swine
        Type: general
      – SubjectFull: Atomic number
        Type: general
    Titles:
      – TitleFull: Optimization of the differentiation and quantification of high‐Z nanoparticles incorporated in medical devices for CT‐guided interventions.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Perez, Joy Vanessa D.
      – PersonEntity:
          Name:
            NameFull: Jacobsen, Megan C.
      – PersonEntity:
          Name:
            NameFull: Damasco, Jossana A.
      – PersonEntity:
          Name:
            NameFull: Melancon, Adam
      – PersonEntity:
          Name:
            NameFull: Huang, Steven Y.
      – PersonEntity:
          Name:
            NameFull: Layman, Rick R.
      – PersonEntity:
          Name:
            NameFull: Melancon, Marites P.
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 01
              Text: Jan2021
              Type: published
              Y: 2021
          Identifiers:
            – Type: issn-print
              Value: 00942405
          Numbering:
            – Type: volume
              Value: 48
            – Type: issue
              Value: 1
          Titles:
            – TitleFull: Medical Physics
              Type: main
ResultId 1