Microcalcification clustering parameters in breast disease: a morphometric analysis of radiographs of excision specimens

X-ray microradiography of surgically excised breast specimens offers the possibility of morphological characterization of calcifications. When combined with digital imaging techniques there exists added potential for obtaining valuable basic quantitative morphometric information regarding difference...

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Main Authors: Ng, K.H., Looi, L.M., Bradley, D.A.
Format: Article
Published: Faculty of Medicine, University of Malaya 1996
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Online Access:http://eprints.um.edu.my/24493/
https://jummec.um.edu.my/issue/view/661/Vol.1%2C%20No.2%2C%201996
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spelling my.um.eprints.244932021-03-23T07:38:25Z http://eprints.um.edu.my/24493/ Microcalcification clustering parameters in breast disease: a morphometric analysis of radiographs of excision specimens Ng, K.H. Looi, L.M. Bradley, D.A. R Medicine X-ray microradiography of surgically excised breast specimens offers the possibility of morphological characterization of calcifications. When combined with digital imaging techniques there exists added potential for obtaining valuable basic quantitative morphometric information regarding differences between microcalcifications in tissues exhibiting evidence of fibrocystic change, benign and malignant tumours. A total of 157 excised breast specimens from 84 patients were microradiographed using a Softex Super Soft X-ray unit and Kodak AA high resolution industrial film. A Quantimet 570C image analysis system was used to digitize and analyse the microradiographs. Of the 157 microradiographs, 51 (from 30 patients) revealed microcalcification clusters. The existence of significant differences between the three identified categories of tissue were indicated by clustering parameters. These included the number of particles per cluster, area of clusters, maximum distance to nearest neighbour, and geometric mean distance to nearest neighbour. The distribution pattern index (DPI), another of the clustering parameters used in this study, has been observed to be a particularly powerful discriminator. The value for fibrocystic change was found to be significantly smaller (0.514) than that for benign tumour (0.796) whilst that for benign tumour was observed to be significantly larger than that for malignant tumour (0.604) at a p-value of less than 0.05 (Kruskal-Wallis one-way analysis of variance). Faculty of Medicine, University of Malaya 1996-12 Article PeerReviewed Ng, K.H. and Looi, L.M. and Bradley, D.A. (1996) Microcalcification clustering parameters in breast disease: a morphometric analysis of radiographs of excision specimens. Journal of the University of Malaya Medical Centre (JUMMEC), 1 (2). p. 61. ISSN 1823-7339 https://jummec.um.edu.my/issue/view/661/Vol.1%2C%20No.2%2C%201996
institution Universiti Malaya
building UM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaya
content_source UM Research Repository
url_provider http://eprints.um.edu.my/
topic R Medicine
spellingShingle R Medicine
Ng, K.H.
Looi, L.M.
Bradley, D.A.
Microcalcification clustering parameters in breast disease: a morphometric analysis of radiographs of excision specimens
description X-ray microradiography of surgically excised breast specimens offers the possibility of morphological characterization of calcifications. When combined with digital imaging techniques there exists added potential for obtaining valuable basic quantitative morphometric information regarding differences between microcalcifications in tissues exhibiting evidence of fibrocystic change, benign and malignant tumours. A total of 157 excised breast specimens from 84 patients were microradiographed using a Softex Super Soft X-ray unit and Kodak AA high resolution industrial film. A Quantimet 570C image analysis system was used to digitize and analyse the microradiographs. Of the 157 microradiographs, 51 (from 30 patients) revealed microcalcification clusters. The existence of significant differences between the three identified categories of tissue were indicated by clustering parameters. These included the number of particles per cluster, area of clusters, maximum distance to nearest neighbour, and geometric mean distance to nearest neighbour. The distribution pattern index (DPI), another of the clustering parameters used in this study, has been observed to be a particularly powerful discriminator. The value for fibrocystic change was found to be significantly smaller (0.514) than that for benign tumour (0.796) whilst that for benign tumour was observed to be significantly larger than that for malignant tumour (0.604) at a p-value of less than 0.05 (Kruskal-Wallis one-way analysis of variance).
format Article
author Ng, K.H.
Looi, L.M.
Bradley, D.A.
author_facet Ng, K.H.
Looi, L.M.
Bradley, D.A.
author_sort Ng, K.H.
title Microcalcification clustering parameters in breast disease: a morphometric analysis of radiographs of excision specimens
title_short Microcalcification clustering parameters in breast disease: a morphometric analysis of radiographs of excision specimens
title_full Microcalcification clustering parameters in breast disease: a morphometric analysis of radiographs of excision specimens
title_fullStr Microcalcification clustering parameters in breast disease: a morphometric analysis of radiographs of excision specimens
title_full_unstemmed Microcalcification clustering parameters in breast disease: a morphometric analysis of radiographs of excision specimens
title_sort microcalcification clustering parameters in breast disease: a morphometric analysis of radiographs of excision specimens
publisher Faculty of Medicine, University of Malaya
publishDate 1996
url http://eprints.um.edu.my/24493/
https://jummec.um.edu.my/issue/view/661/Vol.1%2C%20No.2%2C%201996
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score 13.1868305