Literature DB >> 11091020

Reproducibility--an important factor determining the quality of computer-aided detection (CAD) systems.

A Malich1, T Azhari, T Böhm, M Fleck, W A Kaiser.   

Abstract

PURPOSE: To test the reproducibility of markings on mammography films set by a commercial computer aided detection (CAD) system. PATIENTS AND METHODS: One hundred unilateral mammography examinations (each in CC and MLO) of 100 patients with mammographically detected suspicious foci, which were histopathologically proven to be malignant, were scanned three times with the CAD system, retrospectively. Every fifth patient of the institutional tumor case sampler was enrolled in the study. Only cases with one visible lesion were included in the study. Reproducibility and sensitivity (in both the strict and the broader sense) were determined. Strict sensitivity means the correct set of markers in both images, whereas broader sensitivity means the correct set in at least one of the images. Sixteen of 100 malignancies were indicated by focal suspicious microcalcification clusters, 53 tumors by masses and 31 cases by both signs of breast cancer. The CAD evaluation was divided into only two different markers: one for microcalcifications and one for masses. Thus, 47 (16+31) tumor-induced microcalcifications and 84 (53+31) malignancy-related masses were checked using the CAD system.
RESULTS: Eighteen of 100 unilateral mammography examinations revealed identical patterns in all three scans (18% reproducibility). Eleven of 47 suspicious focal microcalcification clusters and 43/84 masses were correctly marked on both mammographic views in all three CAD scans (strict and broader sensitivity, 23.4 and 51.1%, respectively). Six of 47 microcalcification clusters and 8/84 masses were totally missed in all images by the system (false negative rate, 12.8 and 9.6%, respectively).
CONCLUSION: Reproducibility is essential for CAD systems. Currently, reproducibility of the used CAD system appears to be insufficient for clinical routine. Improvement of the system characteristics would make such systems valuable as a 'second reader' in clinical examination.

Entities:  

Mesh:

Year:  2000        PMID: 11091020     DOI: 10.1016/s0720-048x(00)00189-3

Source DB:  PubMed          Journal:  Eur J Radiol        ISSN: 0720-048X            Impact factor:   3.528


  7 in total

1.  The impact of technical conditions of X-ray imaging on reproducibility and precision of digital computer-assisted X-ray radiogrammetry (DXR).

Authors:  A Malich; J Boettcher; A Pfeil; D Sauner; J P Heyne; A Petrovitch; A Hansch; W Linss; W A Kaiser
Journal:  Skeletal Radiol       Date:  2004-10-09       Impact factor: 2.199

Review 2.  CAD for mammography: the technique, results, current role and further developments.

Authors:  Ansgar Malich; Dorothee R Fischer; Joachim Böttcher
Journal:  Eur Radiol       Date:  2006-01-17       Impact factor: 5.315

3.  Evaluation of breast amorphous calcifications by a computer-aided detection system in full-field digital mammography.

Authors:  A M Scaranelo; R Eiada; K Bukhanov; P Crystal
Journal:  Br J Radiol       Date:  2012-05       Impact factor: 3.039

Review 4.  Is single reading with computer-aided detection (CAD) as good as double reading in mammography screening? A systematic review.

Authors:  Edward Azavedo; Sophia Zackrisson; Ingegerd Mejàre; Marianne Heibert Arnlind
Journal:  BMC Med Imaging       Date:  2012-07-24       Impact factor: 1.930

Review 5.  Methods Used in Computer-Aided Diagnosis for Breast Cancer Detection Using Mammograms: A Review.

Authors:  Saleem Z Ramadan
Journal:  J Healthc Eng       Date:  2020-03-12       Impact factor: 2.682

6.  Reproducibility of computer-aided detection marks in digital mammography.

Authors:  Seung Ja Kim; Woo Kyung Moon; Nariya Cho; Joo Hee Cha; Sun Mi Kim; Jung-Gi Im
Journal:  Korean J Radiol       Date:  2007 May-Jun       Impact factor: 3.500

Review 7.  Foundation and methodologies in computer-aided diagnosis systems for breast cancer detection.

Authors:  Afsaneh Jalalian; Syamsiah Mashohor; Rozi Mahmud; Babak Karasfi; M Iqbal B Saripan; Abdul Rahman B Ramli
Journal:  EXCLI J       Date:  2017-02-20       Impact factor: 4.068

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.