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European Radiology

, Volume 11, Issue 12, pp 2454–2459 | Cite as

Tumour detection rate of a new commercially available computer-aided detection system

  • Ansgar Malich
  • Christiane Marx
  • Mirjam Facius
  • Thomas Boehm
  • Marlies Fleck
  • Werner A. Kaiser
Breast

Abstract

The aim of this study was to determine the tumour detection rate and false positive rate of a new mammographic computer-aided detection system (CAD) in order to assess its clinical usefulness. The craniocaudal and oblique images of 150 suspicious mammograms from 150 patients that were histologically proven to be malignant were analysed using the Second Look CAD (CADx Medical Systems, Quebec, Canada). Cases were selected randomly using the clinic's internal tumour case sampler. Correct marking of the malignant lesion in at least one view was scored as a true positive. Marks not at the location of the malignant lesion were scored as false positives. In addition, mammograms with histologically proven benign masses (n=50) and microcalcifications (n=50), as well as 100 non-suspicious mammograms, were scanned in order to determine the value of false-positive marks per image. The 150 mammograms included 94 lesions that were suspicious due to masses, 26 due to microcalcifications and 30 showed both signs of malignancy. The overall sensitivity was 90.0% (135 of 150). Sensitivity on subsets of the data was 88.7% (110 of 124) for suspicious masses (MA) and 98.2% (55 of 56) for microcalcifications. Eight of 14 false-negative cases were large lesions. The overall false-positive rate was observed as 0.28 and 0.97 marks per image of microcalcifications and masses, respectively. The lowest false-positive rates for microcalcifications and MA were observed in the cancer subgroup, whereas the highest false-positive rates were scored in the benign but mammographically suspicious subgroups, respectively. The new CAD system shows a high tumour detection rate, with approximately 1.3 false positive marks per image. These results suggest that this system might be clinically useful as a second reader of mammograms. The system performance was particularly useful for detecting microcalcifications.

Computer-aided detection Breast Neoplasms Mammography 

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Copyright information

© Springer-Verlag 2001

Authors and Affiliations

  • Ansgar Malich
    • 1
  • Christiane Marx
    • 1
  • Mirjam Facius
    • 1
  • Thomas Boehm
    • 2
  • Marlies Fleck
    • 1
  • Werner A. Kaiser
    • 1
  1. 1.Institute of Diagnostic and Interventional Radiology, Friedrich-Schiller-University Jena, Bachstrasse 18, 07740 JenaGermany
  2. 2.Institute of Diagnostic Radiology, Universitätsspital Zürich, Rämistrasse 100, 8032 ZürichSwitzerland

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