G
Gunnar Jahr
Researcher at University of Oslo
Publications - 4
Citations - 1234
Gunnar Jahr is an academic researcher from University of Oslo. The author has contributed to research in topics: Tomosynthesis & Mammography. The author has an hindex of 4, co-authored 4 publications receiving 1129 citations. Previous affiliations of Gunnar Jahr include Oslo University Hospital.
Papers
More filters
Journal ArticleDOI
Comparison of Digital Mammography Alone and Digital Mammography Plus Tomosynthesis in a Population-based Screening Program
Per Skaane,Andriy I. Bandos,Randi Gullien,Ellen B. Eben,Ulrika Ekseth,Unni Haakenaasen,Mina Izadi,Ingvild N. Jebsen,Gunnar Jahr,Mona Krager,Loren Niklason,Solveig Hofvind,David Gur +12 more
TL;DR: The use of mammography plus tomosynthesis in a screening environment resulted in a significantly higher cancer detection rate and enabled the detection of more invasive cancers.
Journal ArticleDOI
Prospective trial comparing full-field digital mammography (FFDM) versus combined FFDM and tomosynthesis in a population-based screening programme using independent double reading with arbitration
Per Skaane,Andriy I. Bandos,Randi Gullien,Ellen B. Eben,Ulrika Ekseth,Unni Haakenaasen,Mina Izadi,Ingvild N. Jebsen,Gunnar Jahr,Mona Krager,Solveig Hofvind +10 more
TL;DR: Double reading of 2D + 3D significantly improves the cancer detection rate in mammography screening and significantly reduced false-positive interpretations in tomosynthesis-based examinations.
Journal ArticleDOI
Digital breast tomosynthesis (DBT): initial experience in a clinical setting.
Per Skaane,Randi Gullien,Hilde Bjørndal,Ellen B. Eben,Ulrika Ekseth,Unni Haakenaasen,Gunnar Jahr,Ingvild N. Jebsen,Mona Krager +8 more
TL;DR: Comparing digital mammography and DBT in a side-by-side feature analysis for cancer conspicuity shows that there is a potential for increasing the sensitivity using this new technique, especially for cancers manifesting as spiculated masses and distortions.
Journal ArticleDOI
Mammography screening using independent double reading with consensus: is there a potential benefit for computer-aided detection?
TL;DR: CAD may have the potential to increase cancer detection by up to 16%, and to reduce the number of interval cancers byUp to 20% in SFM and FFDM screening programs using independent double reading with consensus review.