Literature DB >> 10533457

The visibility of cancer on earlier mammograms in a population-based screening programme.

I Saarenmaa1, T Salminen, U Geiger, K Holli, J Isola, A Kärkkäinen, J Pakkanen, A Piironen, A Salo, M Hakama.   

Abstract

The aim of this study was to examine how frequently the later-round screen-detected and interval breast cancers were visible in earlier screening mammograms by retrospective review and to compare their radiological and clinicopathological features with those diagnosed by primary screening. In a population-based mammography screening programme 63,731 women aged 50-59 years were invited and 56,158 examinations were carried out in the period 1987-1992 in the Tampere area in Finland. A total of 276 breast cancers were detected, of which 131 were diagnosed on later screening rounds or were interval cancers. A retrospective review of previous screening mammograms was carried out in 130 cases by the radiologist who diagnosed the breast cancer and thus knew the exact location of the tumour, no blinded review was carried out. 43 (33%) cancers were visible, 84 (65%) were not visible and 3 (2%) not included on the mammogram in a retrospective review. Later round screen-detected cancers were statistically significantly more often visible in earlier screening mammograms (43%) than interval cancers (19%) (P = 0.002). Tumours missed by screening mammography but which were visible on retrospective review were often histologically well-differentiated and were more often diagnosed in the subsequent screening round than by clinical diagnosis as interval cancers. If all retrospectively visible interval cancers had been diagnosed by screening 19% (10/54) of the interval cancers could have been avoided. If all retrospectively visible cancers had been diagnosed at the time of false-negative screening or assessment 65% (84/130) of all patients would have benefitted from an earlier diagnosis compared with the actual figure of 31% (41/130).

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Year:  1999        PMID: 10533457     DOI: 10.1016/s0959-8049(99)00103-3

Source DB:  PubMed          Journal:  Eur J Cancer        ISSN: 0959-8049            Impact factor:   9.162


  4 in total

1.  Robust breast cancer detection in mammography and digital breast tomosynthesis using an annotation-efficient deep learning approach.

Authors:  Abdul Rahman Diab; Bryan Haslam; Jiye G Kim; William Lotter; Giorgia Grisot; Eric Wu; Kevin Wu; Jorge Onieva Onieva; Yun Boyer; Jerrold L Boxerman; Meiyun Wang; Mack Bandler; Gopal R Vijayaraghavan; A Gregory Sorensen
Journal:  Nat Med       Date:  2021-01-11       Impact factor: 87.241

Review 2.  Application of magnetic resonance imaging to early detection of breast cancer.

Authors:  M D Schnall
Journal:  Breast Cancer Res       Date:  2001       Impact factor: 6.466

Review 3.  Current and future technologies for breast cancer imaging.

Authors:  J P Basilion
Journal:  Breast Cancer Res       Date:  2001       Impact factor: 6.466

4.  Magnetic resonance imaging in the preoperative evaluation of breast cancer patients.

Authors:  Cristine Norwig Galvão
Journal:  Radiol Bras       Date:  2017 Mar-Apr
  4 in total

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