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Cited by 95Breast Lesions and CarcinomasAI in cancer detectionDigital Radiography and Breast Imaging

Calcification in breast lesions: pathologists’ perspective

Tse, G M, Tan, P-H, Pang, A L M, Tang, A P Y, Cheung, H S·2008·Journal of Clinical Pathology
DOI 10.1136/jcp.2006.046201
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Abstract

Evaluation of calcification in breast lesions is a major assessment criterion for breast mammography. The morphology and distribution of the calcification are related to the histology of the lesions. Radiologically, calcifications can be divided into: benign; intermediate concern; and higher probability of malignancy according to the morphology. Different pathological entities may give rise to different calcifications. Fibrocystic changes may give rise to milk of calcium or teacup type calcification, or small calcifications occurring in a cluster. Fibroadenoma may be associated with large popcorn like calcifications, and sclerosing adenosis may have fine, punctate or granular calcifications. Fat necrosis may give rise to egg shell calcification. Precursor malignant lesions give rise to benign to indeterminate type calcifications, and may occasionally be associated with malignant type calcifications. For malignant lesions, ductal carcinoma in situ and invasive duct carcinoma may be associated with large irregular, rod or V shaped, pleomorphic or branching type calcifications that follow the distribution of the duct. Furthermore, analysis of the characteristics of the calcifications may help to predict the tumour size and grade, and presence of invasion.

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  • Some qualitative results using Gradient-weighted Class Activation Mappings (Grad-CAMs) show the generalisation effect of the federated approaches.

    “Some qualitative results using Gradient-weighted Class Activation Mappings (Grad-CAMs) [58] show the generalisation effect of the federated approaches in Fig. 7 (Suppl.Material).”

    From Memory-aware curriculum federated learning for breast cancer classification (2023) · cites this paper as [58]

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Authors
Tse, G. M., Tan, P.-H., Pang, A. L. M., Tang, A. P. Y., & Cheung, H. S.
Affiliations
  • Chinese University of Hong Kong (HK)
  • Singapore General Hospital (SG)
  • North District Hospital (HK)
  • International Islamic University Malaysia (MY)
Corresponding author
Tse, G M
ORCID
Venue
Journal of Clinical Pathology
Publisher
BMJ
Published
2007-08-17
Volume
61
Issue
2
Pages
145-151
ISSN
  • 0021-9746 (ISSN-L)
  • 1472-4146
DOI
10.1136/jcp.2006.046201
OpenAlex
W2094008494
Cited by
95
References
45
Citations by year
2026: 3 · 2025: 8 · 2024: 1 · 2023: 11 · 2022: 3 · 2021: 7 · 2020: 6 · 2019: 2 · 2018: 4 · 2017: 9 · 2016: 4 · 2015: 3 · 2014: 7 · 2013: 5
FWCI
0.32
Type
journal article
Language
en
Open access
closed
Locations
  • Journal of Clinical Pathology (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Health Sciences › Medicine › Pathology and Forensic Medicine › Breast Lesions and Carcinomas
  • Physical Sciences › Computer Science › Artificial Intelligence › AI in cancer detection
  • Health Sciences › Medicine › Pulmonary and Respiratory Medicine › Digital Radiography and Breast Imaging
Keywords
breast calcifications, breast lesions, mammography, fibrocystic change, milk of calcium, fibroadenoma, sclerosing adenosis, fat necrosis, eggshell calcification, ductal carcinoma in situ
MeSH terms
Breast Neoplasms, Calcinosis, Diagnosis, Differential, Female, Humans, Mammography, Precancerous Conditions

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