View in EDS HTML Full Text PDF Full Text

Machine-learning based quantification of lung shunt fraction from 99mTc-MAA SPECT/CT for selective internal radiation therapy of liver tumors using TriDFusion (3DF).

Saved in:
Bibliographic Details
Title: Machine-learning based quantification of lung shunt fraction from 99mTc-MAA SPECT/CT for selective internal radiation therapy of liver tumors using TriDFusion (3DF).
Authors: Lafontaine, Daniel1 (AUTHOR) lafontad@mskcc.org, Augensen, Finn1 (AUTHOR), Kesner, Adam1 (AUTHOR), Vincent, Raoul1,2 (AUTHOR), Kirov, Assen1 (AUTHOR), Krebs, Simone2 (AUTHOR), Schöder, Heiko2 (AUTHOR), Humm, John L.1 (AUTHOR)
Source: EJNMMI Physics. 3/11/2025, Vol. 12 Issue 1, p1-11. 11p.
Database: Academic Search Ultimate
Full text is not displayed to guests.
FullText Links:
  – Type: pdflink
Text:
  Availability: 1
Header DbId: asn
DbLabel: Academic Search Ultimate
An: 183595097
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Machine-learning based quantification of lung shunt fraction from 99mTc-MAA SPECT/CT for selective internal radiation therapy of liver tumors using TriDFusion (3DF).
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Lafontaine%2C+Daniel%22">Lafontaine, Daniel</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> lafontad@mskcc.org</i><br /><searchLink fieldCode="AR" term="%22Augensen%2C+Finn%22">Augensen, Finn</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Kesner%2C+Adam%22">Kesner, Adam</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Vincent%2C+Raoul%22">Vincent, Raoul</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Kirov%2C+Assen%22">Kirov, Assen</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Krebs%2C+Simone%22">Krebs, Simone</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Schöder%2C+Heiko%22">Schöder, Heiko</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Humm%2C+John+L%2E%22">Humm, John L.</searchLink><relatesTo>1</relatesTo> (AUTHOR)
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22EJNMMI+Physics%22">EJNMMI Physics</searchLink>. 3/11/2025, Vol. 12 Issue 1, p1-11. 11p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=183595097
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1186/s40658-025-00732-9
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 11
        StartPage: 1
    Titles:
      – TitleFull: Machine-learning based quantification of lung shunt fraction from 99mTc-MAA SPECT/CT for selective internal radiation therapy of liver tumors using TriDFusion (3DF).
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Lafontaine, Daniel
      – PersonEntity:
          Name:
            NameFull: Augensen, Finn
      – PersonEntity:
          Name:
            NameFull: Kesner, Adam
      – PersonEntity:
          Name:
            NameFull: Vincent, Raoul
      – PersonEntity:
          Name:
            NameFull: Kirov, Assen
      – PersonEntity:
          Name:
            NameFull: Krebs, Simone
      – PersonEntity:
          Name:
            NameFull: Schöder, Heiko
      – PersonEntity:
          Name:
            NameFull: Humm, John L.
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 11
              M: 03
              Text: 3/11/2025
              Type: published
              Y: 2025
          Identifiers:
            – Type: issn-print
              Value: 21977364
          Numbering:
            – Type: volume
              Value: 12
            – Type: issue
              Value: 1
          Titles:
            – TitleFull: EJNMMI Physics
              Type: main
ResultId 1