View in EDS HTML Full Text PDF Full Text

Impact of coronary CT image quality on the accuracy of the FFRCT Planner.

Saved in:
Bibliographic Details
Title: Impact of coronary CT image quality on the accuracy of the FFRCT Planner.
Authors: Andreini, Daniele1,2 (AUTHOR) daniele.andreini@unimi.it, Belmonte, Marta3,4 (AUTHOR), Penicka, Martin3 (AUTHOR), Van Hoe, Lieven3 (AUTHOR), Mileva, Niya3,5 (AUTHOR), Paolisso, Pasquale3,4 (AUTHOR), Nagumo, Sakura3,6 (AUTHOR), Nørgaard, Bjarne L.7 (AUTHOR), Ko, Brian8 (AUTHOR), Otake, Hiromasa9 (AUTHOR), Koo, Bon-Kwon10 (AUTHOR), Jensen, Jesper Møller7 (AUTHOR), Mizukami, Takuya3,6 (AUTHOR), Munhoz, Daniel3,4 (AUTHOR), Updegrove, Adam11 (AUTHOR), Taylor, Charles11 (AUTHOR), Leipsic, Jonathon12 (AUTHOR), Sonck, Jeroen3 (AUTHOR), De Bruyne, Bernard3,13 (AUTHOR), Collet, Carlos3 (AUTHOR)
Source: European Radiology. Apr2024, Vol. 34 Issue 4, p2677-2688. 12p.
Subjects: Computed tomography, Percutaneous coronary intervention, Coronary angiography, Planners, Likert scale
Abstract: Objective: To assess the accuracy of a virtual stenting tool based on coronary CT angiography (CCTA) and fractional flow reserve (FFR) derived from CCTA (FFRCT Planner) across different levels of image quality. Materials and methods: Prospective, multicenter, single-arm study of patients with chronic coronary syndromes and lesions with FFR ≤ 0.80. All patients underwent CCTA performed with recent-generation scanners. CCTA image quality was adjudicated using the four-point Likert scale at a per-vessel level by an independent committee blinded to the FFRCT Planner. Patient- and technical-related factors that could affect the FFRCT Planner accuracy were evaluated. The FFRCT Planner was applied mirroring percutaneous coronary intervention (PCI) to determine the agreement with invasively measured post-PCI FFR. Results: Overall, 120 patients (123 vessels) were included. Invasive post-PCI FFR was 0.88 ± 0.06 and Planner FFRCT was 0.86 ± 0.06 (mean difference 0.02 FFR units, the lower limit of agreement (LLA) − 0.12, upper limit of agreement (ULA) 0.15). CCTA image quality was assessed as excellent (Likert score 4) in 48.3%, good (Likert score 3) in 45%, and sufficient (Likert score 2) in 6.7% of patients. The FFRCT Planner was accurate across different levels of image quality with a mean difference between FFRCT Planner and invasive post-PCI FFR of 0.02 ± 0.07 in Likert score 4, 0.02 ± 0.07 in Likert score 3 and 0.03 ± 0.08 in Likert score 2, p = 0.695. Nitrate dose ≥ 0.8mg was the only independent factor associated with the accuracy of the FFRCT Planner (95%CI − 0.06 to − 0.001, p = 0.040). Conclusion: The FFRCT Planner was accurate in predicting post-PCI FFR independent of CCTA image quality. Clinical relevance statement: Being accurate in predicting post-PCI FFR across a wide spectrum of CT image quality, the FFRCT Planner could potentially enhance and guide the invasive treatment. Adequate vasodilation during CT acquisition is relevant to improve the accuracy of the FFRCT Planner. Key Points: • The fractional flow reserve derived from coronary CT angiography (FFRCT) Planner is a novel tool able to accurately predict fractional flow reserve after percutaneous coronary intervention. • The accuracy of the FFRCT Planner was confirmed across a wide spectrum of CT image quality. Nitrates dose at CT acquisition was the only independent predictor of its accuracy. • The FFRCT Planner could potentially enhance and guide the invasive treatment. [ABSTRACT FROM AUTHOR]
Copyright of European Radiology is the property of Springer Nature 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: 176221692
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Impact of coronary CT image quality on the accuracy of the FFR<subscript>CT</subscript> Planner.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Andreini%2C+Daniele%22">Andreini, Daniele</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<i> daniele.andreini@unimi.it</i><br /><searchLink fieldCode="AR" term="%22Belmonte%2C+Marta%22">Belmonte, Marta</searchLink><relatesTo>3,4</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Penicka%2C+Martin%22">Penicka, Martin</searchLink><relatesTo>3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Van+Hoe%2C+Lieven%22">Van Hoe, Lieven</searchLink><relatesTo>3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Mileva%2C+Niya%22">Mileva, Niya</searchLink><relatesTo>3,5</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Paolisso%2C+Pasquale%22">Paolisso, Pasquale</searchLink><relatesTo>3,4</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Nagumo%2C+Sakura%22">Nagumo, Sakura</searchLink><relatesTo>3,6</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Nørgaard%2C+Bjarne+L%2E%22">Nørgaard, Bjarne L.</searchLink><relatesTo>7</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Ko%2C+Brian%22">Ko, Brian</searchLink><relatesTo>8</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Otake%2C+Hiromasa%22">Otake, Hiromasa</searchLink><relatesTo>9</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Koo%2C+Bon-Kwon%22">Koo, Bon-Kwon</searchLink><relatesTo>10</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Jensen%2C+Jesper+Møller%22">Jensen, Jesper Møller</searchLink><relatesTo>7</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Mizukami%2C+Takuya%22">Mizukami, Takuya</searchLink><relatesTo>3,6</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Munhoz%2C+Daniel%22">Munhoz, Daniel</searchLink><relatesTo>3,4</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Updegrove%2C+Adam%22">Updegrove, Adam</searchLink><relatesTo>11</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Taylor%2C+Charles%22">Taylor, Charles</searchLink><relatesTo>11</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Leipsic%2C+Jonathon%22">Leipsic, Jonathon</searchLink><relatesTo>12</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Sonck%2C+Jeroen%22">Sonck, Jeroen</searchLink><relatesTo>3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22De+Bruyne%2C+Bernard%22">De Bruyne, Bernard</searchLink><relatesTo>3,13</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Collet%2C+Carlos%22">Collet, Carlos</searchLink><relatesTo>3</relatesTo> (AUTHOR)
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22European+Radiology%22">European Radiology</searchLink>. Apr2024, Vol. 34 Issue 4, p2677-2688. 12p.
– Name: Subject
  Label: Subjects
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Computed+tomography%22">Computed tomography</searchLink><br /><searchLink fieldCode="DE" term="%22Percutaneous+coronary+intervention%22">Percutaneous coronary intervention</searchLink><br /><searchLink fieldCode="DE" term="%22Coronary+angiography%22">Coronary angiography</searchLink><br /><searchLink fieldCode="DE" term="%22Planners%22">Planners</searchLink><br /><searchLink fieldCode="DE" term="%22Likert+scale%22">Likert scale</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Objective: To assess the accuracy of a virtual stenting tool based on coronary CT angiography (CCTA) and fractional flow reserve (FFR) derived from CCTA (FFRCT Planner) across different levels of image quality. Materials and methods: Prospective, multicenter, single-arm study of patients with chronic coronary syndromes and lesions with FFR ≤ 0.80. All patients underwent CCTA performed with recent-generation scanners. CCTA image quality was adjudicated using the four-point Likert scale at a per-vessel level by an independent committee blinded to the FFRCT Planner. Patient- and technical-related factors that could affect the FFRCT Planner accuracy were evaluated. The FFRCT Planner was applied mirroring percutaneous coronary intervention (PCI) to determine the agreement with invasively measured post-PCI FFR. Results: Overall, 120 patients (123 vessels) were included. Invasive post-PCI FFR was 0.88 ± 0.06 and Planner FFRCT was 0.86 ± 0.06 (mean difference 0.02 FFR units, the lower limit of agreement (LLA) − 0.12, upper limit of agreement (ULA) 0.15). CCTA image quality was assessed as excellent (Likert score 4) in 48.3%, good (Likert score 3) in 45%, and sufficient (Likert score 2) in 6.7% of patients. The FFRCT Planner was accurate across different levels of image quality with a mean difference between FFRCT Planner and invasive post-PCI FFR of 0.02 ± 0.07 in Likert score 4, 0.02 ± 0.07 in Likert score 3 and 0.03 ± 0.08 in Likert score 2, p = 0.695. Nitrate dose ≥ 0.8mg was the only independent factor associated with the accuracy of the FFRCT Planner (95%CI − 0.06 to − 0.001, p = 0.040). Conclusion: The FFRCT Planner was accurate in predicting post-PCI FFR independent of CCTA image quality. Clinical relevance statement: Being accurate in predicting post-PCI FFR across a wide spectrum of CT image quality, the FFRCT Planner could potentially enhance and guide the invasive treatment. Adequate vasodilation during CT acquisition is relevant to improve the accuracy of the FFRCT Planner. Key Points: • The fractional flow reserve derived from coronary CT angiography (FFRCT) Planner is a novel tool able to accurately predict fractional flow reserve after percutaneous coronary intervention. • The accuracy of the FFRCT Planner was confirmed across a wide spectrum of CT image quality. Nitrates dose at CT acquisition was the only independent predictor of its accuracy. • The FFRCT Planner could potentially enhance and guide the invasive treatment. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of European Radiology is the property of Springer Nature 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=176221692
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1007/s00330-023-10228-8
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 12
        StartPage: 2677
    Subjects:
      – SubjectFull: Computed tomography
        Type: general
      – SubjectFull: Percutaneous coronary intervention
        Type: general
      – SubjectFull: Coronary angiography
        Type: general
      – SubjectFull: Planners
        Type: general
      – SubjectFull: Likert scale
        Type: general
    Titles:
      – TitleFull: Impact of coronary CT image quality on the accuracy of the FFRCT Planner.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Andreini, Daniele
      – PersonEntity:
          Name:
            NameFull: Belmonte, Marta
      – PersonEntity:
          Name:
            NameFull: Penicka, Martin
      – PersonEntity:
          Name:
            NameFull: Van Hoe, Lieven
      – PersonEntity:
          Name:
            NameFull: Mileva, Niya
      – PersonEntity:
          Name:
            NameFull: Paolisso, Pasquale
      – PersonEntity:
          Name:
            NameFull: Nagumo, Sakura
      – PersonEntity:
          Name:
            NameFull: Nørgaard, Bjarne L.
      – PersonEntity:
          Name:
            NameFull: Ko, Brian
      – PersonEntity:
          Name:
            NameFull: Otake, Hiromasa
      – PersonEntity:
          Name:
            NameFull: Koo, Bon-Kwon
      – PersonEntity:
          Name:
            NameFull: Jensen, Jesper Møller
      – PersonEntity:
          Name:
            NameFull: Mizukami, Takuya
      – PersonEntity:
          Name:
            NameFull: Munhoz, Daniel
      – PersonEntity:
          Name:
            NameFull: Updegrove, Adam
      – PersonEntity:
          Name:
            NameFull: Taylor, Charles
      – PersonEntity:
          Name:
            NameFull: Leipsic, Jonathon
      – PersonEntity:
          Name:
            NameFull: Sonck, Jeroen
      – PersonEntity:
          Name:
            NameFull: De Bruyne, Bernard
      – PersonEntity:
          Name:
            NameFull: Collet, Carlos
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 04
              Text: Apr2024
              Type: published
              Y: 2024
          Identifiers:
            – Type: issn-print
              Value: 09387994
          Numbering:
            – Type: volume
              Value: 34
            – Type: issue
              Value: 4
          Titles:
            – TitleFull: European Radiology
              Type: main
ResultId 1