Literature DB >> 8289452

Selective digital enhancement of conventional film mammography.

D A Hale1, J F Cook, Z Baniqued, A Silva-Hale, M Molloy, R H Pearl, N C Hadro, D P Jaques.   

Abstract

Screening mammography continues to play a key role in the early diagnosis of non-palpable breast cancer. Approximately 5% of patients will have lesions on their mammograms that appear neither clearly benign nor malignant. The proper management of these patients is not well defined. In this study, the mammograms of 64 women who underwent breast biopsy were reviewed. After the initial review, the mammograms were reevaluated using a personal computer driven digital conversion and enhancement system. The majority of indeterminate lesions were assigned a determinate diagnosis by enhancing the areas of abnormality through enlargement, contrast adjustment, and brightness adjustment. The radiologists were able to maintain baseline sensitivity and specificity throughout this process. In contrast, enhancement of lesions initially assigned a diagnosis of characteristically benign or malignant demonstrated no advantage over plain film mammography. These findings suggest a role for the selective use of digital mammography and enhancement techniques.

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Year:  1994        PMID: 8289452     DOI: 10.1002/jso.2930550112

Source DB:  PubMed          Journal:  J Surg Oncol        ISSN: 0022-4790            Impact factor:   3.454


  3 in total

1.  Contrast limited adaptive histogram equalization image processing to improve the detection of simulated spiculations in dense mammograms.

Authors:  E D Pisano; S Zong; B M Hemminger; M DeLuca; R E Johnston; K Muller; M P Braeuning; S M Pizer
Journal:  J Digit Imaging       Date:  1998-11       Impact factor: 4.056

2.  The effect of intensity windowing on the detection of simulated masses embedded in dense portions of digitized mammograms in a laboratory setting.

Authors:  E D Pisano; J Chandramouli; B M Hemminger; D Glueck; R E Johnston; K Muller; M P Braeuning; D Puff; W Garrett; S Pizer
Journal:  J Digit Imaging       Date:  1997-11       Impact factor: 4.056

3.  Does intensity windowing improve the detection of simulated calcifications in dense mammograms?

Authors:  E D Pisano; J Chandramouli; B M Hemminger; M DeLuca; D Glueck; R E Johnston; K Muller; M P Braeuning; S Pizer
Journal:  J Digit Imaging       Date:  1997-05       Impact factor: 4.056

  3 in total

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