Literature DB >> 10657156

Clustering of breast microcalcifications: revisited.

J M Park1, H K Choi, S J Bae, M S Lee, S H Ahn, G Gong.   

Abstract

AIM: To verify the diagnostic value of the traditional definition of 'clustering' of microcalcifications (more than five in the area of 1 cm(2)or 1 cm(3)) on mammography in the differential diagnosis of benign and malignant breast disease. METHODS AND MATERIALS: Three radiologists without knowledge of the final pathology retrospectively counted the number of microcalcifications per 0.25 cm(2) (0.5 x 0.5 cm) unit area on mammography in 57 pathologically proven non-palpable lesions including 26 cancers and 31 benign diseases. Pleomorphism of the microcalcifications, associated architectural distortion or mass or increased density and distribution of microcalcifications were also evaluated.
RESULTS: The mean numbers of microcalcifications per 0.25 cm(2) were 16.4 in malignant and 16.7 in benign diseases (no statistically significant difference between the two groups). Pleomorphism of the microcalcifications, associated architectural distortion or mass or increased density were, however, important determining parameters. Clustering was more frequently observed in benign diseases.
CONCLUSION: In this study, the mean number of microcalcifications per unit area is much larger than the traditional definition of 'clustering' and clustering itself is not effective in the differential diagnosis of benign and malignant breast lesions. Imaging features other than numbers of calcification per unit area are more important in assessing the significance of mammographic clustered microcalcifications. Copyright 2000 The Royal College of Radiologists.

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Mesh:

Year:  2000        PMID: 10657156     DOI: 10.1053/crad.1999.0220

Source DB:  PubMed          Journal:  Clin Radiol        ISSN: 0009-9260            Impact factor:   2.350


  7 in total

1.  Preliminary investigation of the clinical usefulness of super-high-resolution LCDs with 9 and 15 mega-sub-pixels: observation studies with phantoms.

Authors:  Aya Nishimura; Katsuhiro Ichikawa; Yuko Mochiya; Ayumi Morishita; Hiroko Kawashima; Tomoyuki Yamamoto; Mikio Hasegawa; Naofumi Kimura; Shigeru Sanada
Journal:  Radiol Phys Technol       Date:  2009-12-25

2.  Classification of breast microcalcifications using dual-energy mammography.

Authors:  Bahaa Ghammraoui; Andrey Makeev; Ahmed Zidan; Alaadin Alayoubi; Stephen J Glick
Journal:  J Med Imaging (Bellingham)       Date:  2019-03-12

Review 3.  Microcalcifications associated with breast cancer: an epiphenomenon or biologically significant feature of selected tumors?

Authors:  Maria P Morgan; Michelle M Cooke; Geraldine M McCarthy
Journal:  J Mammary Gland Biol Neoplasia       Date:  2005-04       Impact factor: 2.673

4.  Evaluation of breast calcifications.

Authors:  Yojana V Nalawade
Journal:  Indian J Radiol Imaging       Date:  2009 Oct-Dec

Review 5.  A Molecular View of Pathological Microcalcification in Breast Cancer.

Authors:  Tanu Sharma; James A Radosevich; Geeta Pachori; Chandi C Mandal
Journal:  J Mammary Gland Biol Neoplasia       Date:  2016-01-15       Impact factor: 2.673

6.  Convolutional Neural Networks for the Segmentation of Microcalcification in Mammography Imaging.

Authors:  Gabriele Valvano; Gianmarco Santini; Nicola Martini; Andrea Ripoli; Chiara Iacconi; Dante Chiappino; Daniele Della Latta
Journal:  J Healthc Eng       Date:  2019-04-09       Impact factor: 2.682

7.  Mammographic microcalcifications and risk of breast cancer.

Authors:  Shadi Azam; Mikael Eriksson; Arvid Sjölander; Marike Gabrielson; Roxanna Hellgren; Kamila Czene; Per Hall
Journal:  Br J Cancer       Date:  2021-06-14       Impact factor: 7.640

  7 in total

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