Optimization of guidelines for Risk Of Recurrence/Prosigna testing using a machine learning model: a Swedish multicenter study.
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| Title: | Optimization of guidelines for Risk Of Recurrence/Prosigna testing using a machine learning model: a Swedish multicenter study. |
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| Authors: | Kjällquist U; Department of Oncology/Pathology, Karolinska Institutet, Stockholm, Sweden; Theme Cancer, Karolinska University Hospital, Stockholm, Sweden. Electronic address: una.kjallquist@ki.se., Tsiknakis N; Department of Oncology/Pathology, Karolinska Institutet, Stockholm, Sweden., Acs B; Department of Oncology/Pathology, Karolinska Institutet, Stockholm, Sweden; Theme Cancer, Karolinska University Hospital, Stockholm, Sweden., Margolin S; Department of Clinical Science and Education, Södersjukhuset, Karolinska Institutet, Stockholm, Sweden; Department of Oncology, Södersjukhuset, Stockholm, Sweden., Kessler LE; Breast Center, Capio St:Göran's Hospital, Stockholm, Sweden., Levy S; Breast Center, Capio St:Göran's Hospital, Stockholm, Sweden., Ekholm M; Department of Oncology, Ryhov County Hospital, Jönköping, Sweden; Department of Biomedical and Clinical Sciences, Division of Oncology, Linköping University, Linköping, Sweden., Lundgren C; Department of Oncology, Ryhov County Hospital, Jönköping, Sweden; Department of Biomedical and Clinical Sciences, Division of Oncology, Linköping University, Linköping, Sweden., Olsson E; Department of Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden., Lindman H; Department of Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden., Valachis A; Department of Oncology, Faculty of Medicine and Health, Örebro University, Örebro, Sweden., Hartman J; Department of Oncology/Pathology, Karolinska Institutet, Stockholm, Sweden; Department of Clinical Science and Education, Södersjukhuset, Karolinska Institutet, Stockholm, Sweden., Foukakis T; Department of Oncology/Pathology, Karolinska Institutet, Stockholm, Sweden; Theme Cancer, Karolinska University Hospital, Stockholm, Sweden., Matikas A; Department of Oncology/Pathology, Karolinska Institutet, Stockholm, Sweden; Theme Cancer, Karolinska University Hospital, Stockholm, Sweden. Electronic address: alexios.matikas@ki.se. |
| Source: | Breast (Edinburgh, Scotland) [Breast] 2025 Aug; Vol. 82, pp. 104489. Date of Electronic Publication: 2025 May 07. |
| Publication Type: | Journal Article; Multicenter Study |
| Journal Info: | Publisher: Elsevier Country of Publication: Netherlands NLM ID: 9213011 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1532-3080 (Electronic) Linking ISSN: 09609776 NLM ISO Abbreviation: Breast Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
| FullText | Text: Availability: 0 |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 40347583 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Optimization of guidelines for Risk Of Recurrence/Prosigna testing using a machine learning model: a Swedish multicenter study. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Kjällquist+U%22">Kjällquist U</searchLink>; Department of Oncology/Pathology, Karolinska Institutet, Stockholm, Sweden; Theme Cancer, Karolinska University Hospital, Stockholm, Sweden. Electronic address: una.kjallquist@ki.se.<br /><searchLink fieldCode="AU" term="%22Tsiknakis+N%22">Tsiknakis N</searchLink>; Department of Oncology/Pathology, Karolinska Institutet, Stockholm, Sweden.<br /><searchLink fieldCode="AU" term="%22Acs+B%22">Acs B</searchLink>; Department of Oncology/Pathology, Karolinska Institutet, Stockholm, Sweden; Theme Cancer, Karolinska University Hospital, Stockholm, Sweden.<br /><searchLink fieldCode="AU" term="%22Margolin+S%22">Margolin S</searchLink>; Department of Clinical Science and Education, Södersjukhuset, Karolinska Institutet, Stockholm, Sweden; Department of Oncology, Södersjukhuset, Stockholm, Sweden.<br /><searchLink fieldCode="AU" term="%22Kessler+LE%22">Kessler LE</searchLink>; Breast Center, Capio St:Göran's Hospital, Stockholm, Sweden.<br /><searchLink fieldCode="AU" term="%22Levy+S%22">Levy S</searchLink>; Breast Center, Capio St:Göran's Hospital, Stockholm, Sweden.<br /><searchLink fieldCode="AU" term="%22Ekholm+M%22">Ekholm M</searchLink>; Department of Oncology, Ryhov County Hospital, Jönköping, Sweden; Department of Biomedical and Clinical Sciences, Division of Oncology, Linköping University, Linköping, Sweden.<br /><searchLink fieldCode="AU" term="%22Lundgren+C%22">Lundgren C</searchLink>; Department of Oncology, Ryhov County Hospital, Jönköping, Sweden; Department of Biomedical and Clinical Sciences, Division of Oncology, Linköping University, Linköping, Sweden.<br /><searchLink fieldCode="AU" term="%22Olsson+E%22">Olsson E</searchLink>; Department of Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden.<br /><searchLink fieldCode="AU" term="%22Lindman+H%22">Lindman H</searchLink>; Department of Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden.<br /><searchLink fieldCode="AU" term="%22Valachis+A%22">Valachis A</searchLink>; Department of Oncology, Faculty of Medicine and Health, Örebro University, Örebro, Sweden.<br /><searchLink fieldCode="AU" term="%22Hartman+J%22">Hartman J</searchLink>; Department of Oncology/Pathology, Karolinska Institutet, Stockholm, Sweden; Department of Clinical Science and Education, Södersjukhuset, Karolinska Institutet, Stockholm, Sweden.<br /><searchLink fieldCode="AU" term="%22Foukakis+T%22">Foukakis T</searchLink>; Department of Oncology/Pathology, Karolinska Institutet, Stockholm, Sweden; Theme Cancer, Karolinska University Hospital, Stockholm, Sweden.<br /><searchLink fieldCode="AU" term="%22Matikas+A%22">Matikas A</searchLink>; Department of Oncology/Pathology, Karolinska Institutet, Stockholm, Sweden; Theme Cancer, Karolinska University Hospital, Stockholm, Sweden. Electronic address: alexios.matikas@ki.se. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%229213011%22">Breast (Edinburgh, Scotland)</searchLink> [Breast] 2025 Aug; Vol. 82, pp. 104489. <i>Date of Electronic Publication: </i>2025 May 07. – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article; Multicenter Study – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Elsevier%22">Elsevier </searchLink><i>Country of Publication: </i>Netherlands <i>NLM ID: </i>9213011 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1532-3080 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2209609776%22">09609776 </searchLink><i>NLM ISO Abbreviation: </i>Breast <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=40347583 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1016/j.breast.2025.104489 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 104489 Titles: – TitleFull: Optimization of guidelines for Risk Of Recurrence/Prosigna testing using a machine learning model: a Swedish multicenter study. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Kjällquist U – PersonEntity: Name: NameFull: Tsiknakis N – PersonEntity: Name: NameFull: Acs B – PersonEntity: Name: NameFull: Margolin S – PersonEntity: Name: NameFull: Kessler LE – PersonEntity: Name: NameFull: Levy S – PersonEntity: Name: NameFull: Ekholm M – PersonEntity: Name: NameFull: Lundgren C – PersonEntity: Name: NameFull: Olsson E – PersonEntity: Name: NameFull: Lindman H – PersonEntity: Name: NameFull: Valachis A – PersonEntity: Name: NameFull: Hartman J – PersonEntity: Name: NameFull: Foukakis T – PersonEntity: Name: NameFull: Matikas A IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 08 Text: 2025 Aug Type: published Y: 2025 Identifiers: – Type: issn-electronic Value: 1532-3080 Numbering: – Type: volume Value: 82 Titles: – TitleFull: Breast (Edinburgh, Scotland) Type: main |
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