Microcalcification on mammography: approaches to interpretation and biopsy

Wilkinson, Louise; Thomas, Val; Sharma, Nisha

doi:10.1259/bjr.20160594

Cited by 91 publications

(71 citation statements)

References 35 publications

(25 reference statements)

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…It has been shown that the presence of suspicious clustered microcalcifications on a negative screening is important for short‐term risk prediction . However, It has been suggested that even nonsuspicious microcalcifications are associated with breast cancer . To understand more about the role of microcalcifications in short‐term risk of breast cancer, large‐scale epidemiology studies need to be carried out and these will likely require the availability of algorithms for detecting microcalcifications on for‐presentation mammographic images.…”

Section: Introductionmentioning

confidence: 99%

Detection of potential microcalcification clusters using multivendor for‐presentation digital mammograms for short‐term breast cancer risk estimation

et al. 2019

View full text Add to dashboard Cite

PurposeWe explore using the number of potential microcalcification clusters detected in for‐presentation mammographic images (the images which are typically accessible to large epidemiological studies) a marker of short‐term breast cancer risk.MethodsWe designed a three‐step algorithm for detecting potential microcalcification clusters in for‐presentation digital mammograms. We studied association with short‐term breast cancer risk using a nested case control design, with a mammography screening cohort as a source population. In total, 373 incident breast cancer cases (diagnosed at least 3 months after a negative screen at study entry) and 1466 matched controls were included in our study. Conditional logistic regression Wald tests were used to test for association with the presence of microcalcifications at study entry. We compared results of these analyses to those obtained using a Computer‐aided Diagnosis (CAD) software (VuComp) on corresponding for‐processing images (images which are used clinically, but typically not saved).ResultsWe found a moderate agreement between our measure of potential microcalcification clusters on for‐presentation images and a CAD measure on for‐processing images. Similar evidence of association with short‐term breast cancer risk was found (P = 1×10−10 and P = 9×10−09, for our approach on for‐presentation images and for the CAD measure on for‐processing images, respectively) and interestingly both measures contributed independently to association with a short‐term risk (P = 9×10−03 for the CAD measure, adjusted for our proposed method and P = 1×10−04 for our proposed method, adjusted for the CAD measure).ConclusionMeaningful measurement of potential microcalcifications, in the context of short‐term breast cancer risk assessment, is feasible for for‐presentation images across a range of vendors. Our algorithm for for‐presentation images performs similarly to a CAD algorithm on for‐processing images, hence our algorithm can be a useful tool for research on microcalcifications and their role on breast cancer risk, based on large‐scale epidemiological studies with access to for‐presentation images.

show abstract

Section: Introductionmentioning

confidence: 99%

Detection of potential microcalcification clusters using multivendor for‐presentation digital mammograms for short‐term breast cancer risk estimation

et al. 2019

View full text Add to dashboard Cite

show abstract

“…This had been partly explored long back, where the osteotropism of breast cancer was correlated with its ability of inducing microcalcifications by expressing bone matrix proteins (78). Clinically, mammographic calcifications aid in distinguishing benign from potentially malignant changes (79). Although calcium oxalate is mostly associated with benign tumors, hydroxyapatite has been linked to both benign and malignant ones (80).…”

Section: Bone Metastasismentioning

confidence: 99%

The CaSR in Pathogenesis of Breast Cancer: A New Target for Early Stage Bone Metastases

et al. 2020

View full text Add to dashboard Cite

“…The detection of minerals in breast tissue is key to the early diagnosis of breast cancer 3,9,10 . Breast screenings are widely used to examine for the presence of calcifications, which are, in many cases, the only detectable sign of a tumour 11 .…”

Section: Of Tumour Tissue But Also Enable a Precise Yet Simple Routmentioning

confidence: 99%

Nano-analytical Characterization of Breast Tissue Biopsies Reveals an Association between Spherical Nano and Micro Particles and Invasive Malignant Breast Tumours

Tsolaki

Doran

Overbeck

et al. 2020

Preprint

View full text Add to dashboard Cite

The presence of calcification in tumours has been known for decades 1 . Indeed, calcified breast tissue is a fundamental criterion for early breast cancer diagnosis, indicative of malignancies 2 , and their appearance is used to distinguish between benign and malignant in breast biopsies 3,4 . However, an in-depth characterization of the nature and origin of tumour tissue calcification remains elusive 5-8 . Here, we report the presence of nano and micronsized spherical particles made of highly crystalline whitlockite that are exclusively found in the arterial wall of malignant invasive tumours. By applying nanoanalytical methods to healthy, benign and malignant tumour breast tissue biopsies from patients, we show that poorly crystalline apatite can be found in all breast tissue samples, whereas spherical crystalline whitlockite particles are present only in invasive cancers, mainly in areas close tothe lumen of the arterial wall. Moreover, we demonstrate that the concentration of these spherical crystalline particles increases with the grade of disease, and that their size can be related to tumour type. Therefore, our results not only provide new insight into calcification

show abstract

Microcalcification on mammography: approaches to interpretation and biopsy

Cited by 91 publications

References 35 publications

Detection of potential microcalcification clusters using multivendor for‐presentation digital mammograms for short‐term breast cancer risk estimation

Detection of potential microcalcification clusters using multivendor for‐presentation digital mammograms for short‐term breast cancer risk estimation

The CaSR in Pathogenesis of Breast Cancer: A New Target for Early Stage Bone Metastases

Nano-analytical Characterization of Breast Tissue Biopsies Reveals an Association between Spherical Nano and Micro Particles and Invasive Malignant Breast Tumours

Contact Info

Product

Resources

About