Literature DB >> 22556404

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

A M Scaranelo1, R Eiada, K Bukhanov, P Crystal.   

Abstract

OBJECTIVES: The purpose of this study was to evaluate the performance of a direct computer-aided detection (d-CAD) system integrated with full-field digital mammography (FFDM) in assessment of amorphous calcifications.
METHODS: From 1438 consecutive stereotactic-guided biopsies, FFDM images with amorphous calcifications were selected for retrospective evaluation by d-CAD in 122 females (mean age, 56 years; range, 35-84 years). The sensitivity, specificity, accuracy and false-positive rate of the d-CAD system were calculated in the total group of 124 lesions and in the subgroups based on breast density, mammographic lesion distribution and extension. Logistic regression analysis was used to stratify the risk of malignancy by patient risk factors and age.
RESULTS: The d-CAD marked all (36/36) breast cancers, 85% (11/13) of the high-risk lesions and 80% (60/75) of benign amorphous calcifications (p<0.01) correctly. The sensitivity, specificity and diagnostic accuracy for the combined malignant and "high-risk" lesions was 96, 80 and 86%, respectively. The likelihood of malignancy was 29%. There was no significant difference between the marking of fatty or dense breasts (p>0.05); however, d-CAD marks showed differences for small (<7 mm) lesions (p=0.02) and clustered calcifications (p=0.03). The false-positive rate of d-CAD was 1.76 marks per full examination.
CONCLUSION: The d-CAD system correctly marked all biopsy-proven breast cancers and a large number of biopsy-proven high-risk lesions that presented as amorphous calcifications. Given our 29% likelihood of malignancy, imaging-guided biopsy appears to be a reasonable recommendation in cases of amorphous calcifications marked by d-CAD.

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Year:  2012        PMID: 22556404      PMCID: PMC3479871          DOI: 10.1259/bjr/31850970

Source DB:  PubMed          Journal:  Br J Radiol        ISSN: 0007-1285            Impact factor:   3.039


  30 in total

1.  Potential contribution of computer-aided detection to the sensitivity of screening mammography.

Authors:  L J Warren Burhenne; S A Wood; C J D'Orsi; S A Feig; D B Kopans; K F O'Shaughnessy; E A Sickles; L Tabar; C J Vyborny; R A Castellino
Journal:  Radiology       Date:  2000-05       Impact factor: 11.105

2.  Clinical performance of computer-assisted detection (CAD system in detecting carcinoma in breasts of different densities.

Authors:  W T Ho; P W T Lam
Journal:  Clin Radiol       Date:  2003-02       Impact factor: 2.350

3.  Mammographic characteristics of 115 missed cancers later detected with screening mammography and the potential utility of computer-aided detection.

Authors:  R L Birdwell; D M Ikeda; K F O'Shaughnessy; E A Sickles
Journal:  Radiology       Date:  2001-04       Impact factor: 11.105

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

Authors:  A Malich; T Azhari; T Böhm; M Fleck; W A Kaiser
Journal:  Eur J Radiol       Date:  2000-12       Impact factor: 3.528

5.  Mammography with computer-aided detection: reproducibility assessment initial experience.

Authors:  Bin Zheng; Lara A Hardesty; William R Poller; Jules H Sumkin; Sara Golla
Journal:  Radiology       Date:  2003-05-20       Impact factor: 11.105

Review 6.  Long-term effects of mammography screening: updated overview of the Swedish randomised trials.

Authors:  Lennarth Nyström; Ingvar Andersson; Nils Bjurstam; Jan Frisell; Bo Nordenskjöld; Lars Erik Rutqvist
Journal:  Lancet       Date:  2002-03-16       Impact factor: 79.321

7.  Biopsy of amorphous breast calcifications: pathologic outcome and yield at stereotactic biopsy.

Authors:  W A Berg; C L Arnoldus; E Teferra; M Bhargavan
Journal:  Radiology       Date:  2001-11       Impact factor: 11.105

8.  Screening mammography with computer-aided detection: prospective study of 12,860 patients in a community breast center.

Authors:  T W Freer; M J Ulissey
Journal:  Radiology       Date:  2001-09       Impact factor: 11.105

9.  Computer-aided detection in full-field digital mammography in a clinical population: performance of radiologist and technologists.

Authors:  Frank J H M van den Biggelaar; Alphons G H Kessels; Jos M A van Engelshoven; Carla Boetes; Karin Flobbe
Journal:  Breast Cancer Res Treat       Date:  2009-05-06       Impact factor: 4.872

Review 10.  The diagnosis and management of pre-invasive breast disease: ductal carcinoma in situ (DCIS) and atypical ductal hyperplasia (ADH)--current definitions and classification.

Authors:  Sarah E Pinder; Ian O Ellis
Journal:  Breast Cancer Res       Date:  2003-07-29       Impact factor: 6.466

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  2 in total

1.  Computer-aided detection system for clustered microcalcifications in digital breast tomosynthesis using joint information from volumetric and planar projection images.

Authors:  Ravi K Samala; Heang-Ping Chan; Yao Lu; Lubomir M Hadjiiski; Jun Wei; Mark A Helvie
Journal:  Phys Med Biol       Date:  2015-10-14       Impact factor: 3.609

2.  Detection rate of breast malignancy of needle localization biopsy of breast microcalcification.

Authors:  Kian-Hwee Chong; Kuo-Feng Huang; Hsiu-Wen Kuo; I-Shiang Tzeng; Jia-Hui Chen
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  2 in total

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