Literature DB >> 7841050

The detectability of breast cancer by screening mammography.

S Ciatto1, M Rosselli Del Turco, M Zappa.   

Abstract

We reviewed 134 patients with breast cancer (screen detected = 85, interval = 49) who had been reported as negative at previous mammographic screening in the Florence District Programme. At prior mammograms review, 12% of the cases were classified as 'screening error' (suspicious signs missed owing to misperception or poor imaging technique), 26% as 'minimal signs present', 54% as 'radiographically occult' and 7% as 'radiographically occult at diagnosis'. These results are quite consistent with those recently reported for the Nijmegen screening programme. Screening errors may be reduced either by reducing the risk of misperception (double reading) or by improving imaging quality, but this would achieve earlier detection in a minority of cancer cases. Minimal signs of cancer were present 2 years before the diagnosis in over one-third of screen-detected cancers. Increasing screening frequency (from biennial to annual) may advance detection time of most 'screening errors' and of some cancers in the 'minimal signs present' and 'mammographically occult' categories, but this would almost double screening costs, and the benefit would probably be inferior to that obtained by doubling the population invited to biennial screening. Adopting less stringent criteria for referral to diagnostic assessment would probably lead to the detection of some cases in the 'minimal signs present' category. This seems to us a more convenient policy to adopt to advance cancer detection time, although it will also sharply increase referral rates and costs. As diagnostic assessment of minimal lesions is far from being 100% accurate, this policy would also considerably increase the frequency of unnecessary benign biopsies. All these negative effects might turn out to be unacceptable.

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Year:  1995        PMID: 7841050      PMCID: PMC2033595          DOI: 10.1038/bjc.1995.67

Source DB:  PubMed          Journal:  Br J Cancer        ISSN: 0007-0920            Impact factor:   7.640


  9 in total

1.  Referral policy and positive predictive value of call for surgical biopsy in the Florence Breast Cancer Screening Program.

Authors:  S Ciatto; S Cecchini; M R del Turco; G Grazzini; A Iossa; D Bartoli
Journal:  J Clin Epidemiol       Date:  1990       Impact factor: 6.437

2.  A case-control study of the efficacy of a non-randomized breast cancer screening program in Florence (Italy).

Authors:  D Palli; M R Del Turco; E Buiatti; S Carli; S Ciatto; L Toscani; G Maltoni
Journal:  Int J Cancer       Date:  1986-10-15       Impact factor: 7.396

3.  Assessment of malignancy potential in so-called interval mammary carcinomas.

Authors:  A von Rosen; K Erhardt; L Hellström; A Somell; G Auer
Journal:  Breast Cancer Res Treat       Date:  1985       Impact factor: 4.872

4.  Early indicators of efficacy of breast cancer screening programmes. Results of the Florence District Programme.

Authors:  E Paci; S Ciatto; E Buiatti; S Cecchini; D Palli; M Rosselli del Turco
Journal:  Int J Cancer       Date:  1990-08-15       Impact factor: 7.396

5.  Breast cancer missed by mammography.

Authors:  J E Martin; M Moskowitz; J R Milbrath
Journal:  AJR Am J Roentgenol       Date:  1979-05       Impact factor: 3.959

6.  The predictive value of certain mammographic signs in screening for breast cancer.

Authors:  M Moskowitz
Journal:  Cancer       Date:  1983-03-15       Impact factor: 6.860

7.  The current detectability of breast cancer in a mammographic screening program. A review of the previous mammograms of interval and screen-detected cancers.

Authors:  J A van Dijck; A L Verbeek; J H Hendriks; R Holland
Journal:  Cancer       Date:  1993-09-15       Impact factor: 6.860

8.  Analysis of interval breast carcinomas in a randomized screening trial in Stockholm.

Authors:  J Frisell; G Eklund; L Hellström; A Somell
Journal:  Breast Cancer Res Treat       Date:  1987       Impact factor: 4.872

9.  The occurrence of interval cancers in the Nijmegen screening programme.

Authors:  P H Peeters; A L Verbeek; J H Hendriks; R Holland; M Mravunac; G P Vooijs
Journal:  Br J Cancer       Date:  1989-06       Impact factor: 7.640

  9 in total
  9 in total

1.  Real time reading in mammography breast screening.

Authors:  S Ciatto
Journal:  Radiol Med       Date:  2007-12-13       Impact factor: 3.469

Review 2.  Photonic crystal enhanced fluorescence for early breast cancer biomarker detection.

Authors:  Brian T Cunningham; Richard C Zangar
Journal:  J Biophotonics       Date:  2012-06-27       Impact factor: 3.207

3.  Computer-assisted diagnosis (CAD) in mammography: comparison of diagnostic accuracy of a new algorithm (Cyclopus, Medicad) with two commercial systems.

Authors:  S Ciatto; D Cascio; F Fauci; R Magro; G Raso; R Ienzi; F Martinelli; M Vasile Simone
Journal:  Radiol Med       Date:  2009-05-14       Impact factor: 3.469

4.  Analysis of interval cancers observed in an Italian mammography screening programme (2000-2006).

Authors:  F Caumo; F Vecchiato; M Pellegrini; M Vettorazzi; S Ciatto; S Montemezzi
Journal:  Radiol Med       Date:  2009-06-23       Impact factor: 3.469

5.  Identification of women with early breast cancer by analysis of p43-positive lymphocytes.

Authors:  L Auerbach; M Hellan; M Stierer; A C Rosen; C Ausch; R Obwegeser; E Kubista; G Wolf; H R Rosen; S Panzer
Journal:  Br J Cancer       Date:  1999-05       Impact factor: 7.640

6.  Retrospective Review of Missed Cancer Detection and Its Mammography Findings with Artificial-Intelligence-Based, Computer-Aided Diagnosis.

Authors:  Ga Eun Park; Bong Joo Kang; Sung Hun Kim; Jeongmin Lee
Journal:  Diagnostics (Basel)       Date:  2022-02-02

7.  Breast density as a determinant of interval cancer at mammographic screening.

Authors:  S Ciatto; C Visioli; E Paci; M Zappa
Journal:  Br J Cancer       Date:  2004-01-26       Impact factor: 7.640

8.  Comparison of standard and double reading and computer-aided detection (CAD) of interval cancers at prior negative screening mammograms: blind review.

Authors:  S Ciatto; M Rosselli Del Turco; P Burke; C Visioli; E Paci; M Zappa
Journal:  Br J Cancer       Date:  2003-11-03       Impact factor: 7.640

9.  Diagnostic Performance of AI for Cancers Registered in A Mammography Screening Program: A Retrospective Analysis.

Authors:  Inci Kizildag Yirgin; Yilmaz Onat Koyluoglu; Mustafa Ege Seker; Sibel Ozkan Gurdal; Ayse Nilufer Ozaydin; Beyza Ozcinar; Neslihan Cabioğlu; Vahit Ozmen; Erkin Aribal
Journal:  Technol Cancer Res Treat       Date:  2022 Jan-Dec
  9 in total

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