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Clinical performance of human papillomavirus based cervical cancer screening algorithm: The result of a large Danish implementation study.

Anna Sofie Inger LindquistSusanne K KjærKirsten FrederiksenDorthe ØrnskovLone Kjeld PetersenChristian MunkMarianne Waldstrøm
Published in: Acta obstetricia et gynecologica Scandinavica (2024)
In this pilot implementation study, an algorithm for HPV-based screening was evaluated in a Danish setting. The results demonstrated high attendance at follow-up examinations and provided insights into the number of colposcopy referrals and the detection of CIN2 and CIN3+ cases. The results suggest that women testing positive for other hrHPV in combination with ASCUS/LSIL at primary screening could potentially be referred to repeat screening instead of an immediate colposcopy.
Keyphrases
  • cervical cancer screening
  • primary care
  • healthcare
  • machine learning
  • deep learning
  • type diabetes
  • quality improvement
  • polycystic ovary syndrome
  • high grade
  • pregnant women
  • adipose tissue
  • neural network