Blar i forfatter "Lång, Kristina"

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    • AI Risk Score on Screening Mammograms Preceding Breast Cancer Diagnosis 

      Larsen, Marthe; Olstad, Camilla Flåt; Koch, Henrik Wethe; Martiniussen, Marit Almenning; Hoff, Solveig Kristin Roth; Lund-Hanssen, Håkon; Solli, Helene; Mikalsen, Karl Øyvind; Auensen, Steinar; Nygård, Jan Franz; Lång, Kristina; Chen, Yan; Hofvind, Solveig Sand-Hanssen (Journal article; Tidsskriftartikkel; Peer reviewed, 2023-10-17)
      More than 38% of both screen-detected and interval cancers were assigned the highest artificial intelligence risk score on screening mammograms that preceded breast cancer diagnosis.<p> <p>Background - Few studies have evaluated the role of artificial intelligence (AI) in prior screening mammography.<p> <p>Purpose - To examine AI risk scores assigned to screening mammography in women who were ...

    • Artificial Intelligence Evaluation of 122969 Mammography Examinations from a Population-based Screening Program 

      Larsen, Marthe; Aglen, Camilla Flåt; Lee, Christoph I.; Hoff, Solveig Roth; Lund-Hanssen, Håkon; Lång, Kristina; Nygård, Jan Franz; Ursin, Giske; Hofvind, Solveig Sand-Hanssen (Journal article; Tidsskriftartikkel; Peer reviewed, 2022-03-29)
      Background - Artificial intelligence (AI) has shown promising results for cancer detection with mammographic screening. However, evidence related to the use of AI in real screening settings remain sparse.<p> <p>Purpose - To compare the performance of a commercially available AI system with routine, independent double reading with consensus as performed in a population-based screening program. ...

    • Artificial intelligence-supported screen reading versus standard double reading in the Mammography Screening with Artificial Intelligence trial (MASAI): a clinical safety analysis of a randomised, controlled, non-inferiority, single-blinded, screening accuracy study 

      Lång, Kristina; Josefsson, Viktoria; Larsson, Anna-Maria; Larsson, Stefan; Högberg, Charlotte; Sartor, Hanna; Hofvind, Solveig Sand-Hanssen; Andersson, Ingvar; Rosso, Aldana (Journal article; Tidsskriftartikkel; Peer reviewed, 2023-08-01)
      Background - Retrospective studies have shown promising results using artificial intelligence (AI) to improve mammography screening accuracy and reduce screen-reading workload; however, to our knowledge, a randomised trial has not yet been conducted. We aimed to assess the clinical safety of an AI-supported screen-reading protocol compared with standard screen reading by radiologists following ...

    • Mammographic density and interval cancers in mammographic screening: Moving towards more personalized screening 

      Larsen, Marthe; Lynge, Elsebeth; Lee, Christoph I.; Lång, Kristina; Hofvind, Solveig Sand-Hanssen (Journal article; Tidsskriftartikkel; Peer reviewed, 2023-03-21)
      Purpose: The European Society on Breast Imaging has recommended supplemental magnetic resonance imaging (MRI) every two to four years for women with mammographically dense breasts. This may not be feasible in many screening programs. Also, the European Commission Initiative on Breast Cancer suggests not implementing screening with MRI. By analyzing interval cancers and time from screening to ...