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A Brief Review on Breast Carcinoma and Deliberation on Current Non Invasive Imaging Techniques for Detection

Vairavan R, Abdullah O, Retnasamy PB, Sauli Z, Shahimin MM, Retnasamy V

Curr Med Imaging Rev, 2019;15(2):85-121.
PMID: 31975658 DOI: 10.2174/1573405613666170912115617

BACKGROUND: Breast carcinoma is a life threatening disease that accounts for 25.1% of all carcinoma among women worldwide. Early detection of the disease enhances the chance for survival.
DISCUSSION: This paper presents comprehensive report on breast carcinoma disease and its modalities available for detection and diagnosis, as it delves into the screening and detection modalities with special focus placed on the non-invasive techniques and its recent advancement work done, as well as a proposal on a novel method for the application of early breast carcinoma detection.
CONCLUSION: This paper aims to serve as a foundation guidance for the reader to attain bird's eye understanding on breast carcinoma disease and its current non-invasive modalities.

Matched MeSH terms: Breast/pathology
A novel method of determining breast cancer risk using parenchymal textural analysis of mammography images on an Asian cohort

Tan M, Mariapun S, Yip CH, Ng KH, Teo SH

Phys Med Biol, 2019 01 31;64(3):035016.
PMID: 30577031 DOI: 10.1088/1361-6560/aafabd

Historically, breast cancer risk prediction models are based on mammographic density measures, which are dichotomous in nature and generally categorize each voxel or area of the breast parenchyma as 'dense' or 'not dense'. Using these conventional methods, the structural patterns or textural components of the breast tissue elements are not considered or ignored entirely. This study presents a novel method to predict breast cancer risk that combines new texture and mammographic density based image features. We performed a comprehensive study of the correlation of 944 new and conventional texture and mammographic density features with breast cancer risk on a cohort of Asian women. We studied 250 breast cancer cases and 250 controls matched at full-field digital mammography (FFDM) status for age, BMI and ethnicity. Stepwise regression analysis identified relevant features to be included in a linear discriminant analysis (LDA) classifier model, trained and tested using a leave-one-out based cross-validation method. The area under the receiver operating characteristic (AUC) and adjusted odds ratios (ORs) were used as the two performance assessment indices in our study. For the LDA trained classifier, the adjusted OR was 6.15 (95% confidence interval: 3.55-10.64) and for Volpara volumetric breast density, 1.10 (0.67-1.81). The AUC for the LDA trained classifier was 0.68 (0.64-0.73), compared to 0.52 (0.47-0.57) for Volpara volumetric breast density (p breast cancer risk assessment based models. Parenchymal texture analysis has an important role for stratifying breast cancer risk in women, which can be implemented to routine breast cancer screening strategies.

Matched MeSH terms: Breast/pathology*
A study of mean glandular dose during diagnostic mammography in Malaysia and some of the factors affecting it

Jamal N, Ng KH, McLean D

Br J Radiol, 2003 Apr;76(904):238-45.
PMID: 12711643

The primary objective of this study was to determine the mean glandular dose (MGD) during diagnostic mammography in Malaysia. The secondary objective was to evaluate some of the factors affecting MGD. A survey of standard MGD was performed, based upon quality control records for the period October 1999 to August 2001. This covered 30 mammography units from 9 manufacturers. MGD was also measured for a series of patients attending mammography examinations at three other mammography units. MGD per film was estimated from recorded radiographic factors, the compressed breast thickness (CBT) and X-ray unit calibration data. MGD per woman was calculated by summing the MGDs for all films, and averaging it over both breasts. 300 women drawn equally from three major ethnic groups, namely Malay, Chinese and Indian, took part in the study. The difference of MGD per woman between ethnic groups was tested for significance using non-parametric Kruskal-Wallis and median tests. The factors affecting MGD per woman were tested for significance using a multivariate analysis of variance. The MGD for the phantom was 1.23 mGy (range 0.22-2.39 mGy) while the mean patient based MGD per film was 1.54 mGy and 1.82 mGy for the craniocaudal and mediolateral oblique views, respectively. The mean MGD per woman was 3.37 mGy. It was also found that there is no significant difference in MGD per woman among the ethnic groups (p>0.05, Kruskal-Wallis test). However, on the multivariate test two factors, namely half value layer of the X-ray beam and (CBT), had a significant effect on MGD per woman (p<0.05). No significant relationships were seen between MGD per woman with respect to ethnicity, body mass index or age.

Matched MeSH terms: Breast/pathology
Fulltext Acute lymphoblastic leukemia in relapse presenting as a breast lump: a case report

Cheong SK, Chong SM

Med J Malaysia, 1985 Mar;40(1):46-8.
PMID: 3868737

A 26-year-old assistant nurse suffered from acute lymphoblastic leukemia and was successfully treated with combination chemotherapy. 15 months later, she relapsed with a lump in her right breast. The significance of this finding is discussed.

Matched MeSH terms: Breast/pathology*
Anterior uveal and episcleral metastases from carcinoma of the breast

Reddy SC, Madhavan M, Mutum SS

Ophthalmologica, 2000 Sep-Oct;214(5):368-72.
PMID: 10965254 DOI: 10.1159/000027523

Breast carcinoma is the most common primary tumor producing intraocular metastasis. Metastases to the iris and ciliary body are relatively rare. The authors report a case of a 61-year-old lady, operated for carcinoma of the left breast 3 years back, who presented with symptoms and signs of acute narrow-angle glaucoma in the right eye. A diffuse whitish plaque-like mass in the upper nasal quadrant of the iris with an episcleral nodule on the limbus in the corresponding area and all the signs of acute narrow-angle glaucoma were present in the right eye. Intraocular pressure was controlled medically. Fine-needle aspiration cytology from the episcleral nodule showed malignant cells. Histopathology of the excised nodule showed metastatic poorly differentiated carcinoma, and the cellular pattern was similar to the carcinoma of the breast. There was no other metastasis anywhere in the body. Fine-needle aspiration cytology from an external lesion of the eye is a less invasive and easier procedure than paracentesis to diagnose the metastatic nature of the lesions. The rare features in our case are the clinical presentation as acute glaucoma and the ocular structures being the first and only site of metastasis.

Matched MeSH terms: Carcinoma, Ductal, Breast/pathology
Fulltext Association of BRCA1- and BRCA2-deficiency with mutation burden, expression of PD-L1/PD-1, immune infiltrates, and T cell-inflamed signature in breast cancer

Wen WX, Leong CO

PLoS One, 2019;14(4):e0215381.
PMID: 31022191 DOI: 10.1371/journal.pone.0215381

Immune checkpoint inhibitors have demonstrated effective anti-tumour response in cancer types with high mutation burden (e.g. melanoma) and in subset of cancers with features of genomic instability (e.g. mismatch-repair deficiency). One possible explanation for this effect is the increased expression of immune checkpoint molecules and pre-existing adaptive immune response in these cancers. Given that BRCA1 and BRCA2 are integral in maintaining genomic integrity, we hypothesise that the inactivation of these genes may give rise to breast cancers with such immunogenic phenotype. Therefore, using two large series of publicly available breast cancer datasets, namely that from The Cancer Genome Atlas and Wellcome Trust Institute, we sought to investigate the association between BRCA1- and BRCA2-deficiency with features of genomic instability, expression of PD-L1 and PD-1, landscape of inferred tumour-infiltrating immune cells, and T-cell inflamed signature in breast cancers. Here, we report that BRCA1 and BRCA2-deficient breast cancers were associated with features of genomic instability including increased mutation burden. Interestingly, BRCA1-, but not BRCA2-, deficient breast cancers were associated with increased expression of PD-L1 and PD-1, higher abundance of tumour-infiltrating immune cells, and enrichment of T cell-inflamed signature. The differences in immunophenotype between BRCA1- and BRCA2-deficient breast cancers can be attributed, in part, to PTEN gene mutation. Therefore, features of genomic instability such as that mediated by BRCA1- and BRCA2- deficiency in breast cancer were necessary, but not always sufficient, for yielding T cell-inflamed tumour microenvironment, and by extension, predicting clinical benefit from immunotherapy.

Matched MeSH terms: Breast/pathology
Fulltext Breast Cancer Detection Using Infrared Thermal Imaging and a Deep Learning Model

Mambou SJ, Maresova P, Krejcar O, Selamat A, Kuca K

Sensors (Basel), 2018 Aug 25;18(9).
PMID: 30149621 DOI: 10.3390/s18092799

Women's breasts are susceptible to developing cancer; this is supported by a recent study from 2016 showing that 2.8 million women worldwide had already been diagnosed with breast cancer that year. The medical care of a patient with breast cancer is costly and, given the cost and value of the preservation of the health of the citizen, the prevention of breast cancer has become a priority in public health. Over the past 20 years several techniques have been proposed for this purpose, such as mammography, which is frequently used for breast cancer diagnosis. However, false positives of mammography can occur in which the patient is diagnosed positive by another technique. Additionally, the potential side effects of using mammography may encourage patients and physicians to look for other diagnostic techniques. Our review of the literature first explored infrared digital imaging, which assumes that a basic thermal comparison between a healthy breast and a breast with cancer always shows an increase in thermal activity in the precancerous tissues and the areas surrounding developing breast cancer. Furthermore, through our research, we realized that a Computer-Aided Diagnostic (CAD) undertaken through infrared image processing could not be achieved without a model such as the well-known hemispheric model. The novel contribution of this paper is the production of a comparative study of several breast cancer detection techniques using powerful computer vision techniques and deep learning models.

Matched MeSH terms: Breast/pathology
Breast cancer detection from MR images through an auto-probing discrete Fourier transform system

Sim KS, Chia FK, Nia ME, Tso CP, Chong AK, Abbas SF, et al.

Comput Biol Med, 2014 Jun;49:46-59.
PMID: 24736203 DOI: 10.1016/j.compbiomed.2014.03.003

A computer-aided detection auto-probing (CADAP) system is presented for detecting breast lesions using dynamic contrast enhanced magnetic resonance imaging, through a spatial-based discrete Fourier transform. The stand-alone CADAP system reduces noise, refines region of interest (ROI) automatically, and detects the breast lesion with minimal false positive detection. The lesions are then classified and colourised according to their characteristics, whether benign, suspicious or malignant. To enhance the visualisation, the entire analysed ROI is constructed into a 3-D image, so that the user can diagnose based on multiple views on the ROI. The proposed method has been applied to 101 sets of digital images, and the results compared with the biopsy results done by radiologists. The proposed scheme is able to identify breast cancer regions accurately and efficiently.

Matched MeSH terms: Breast/pathology
Breast cancer in Sabah, Malaysia: a two year prospective study

Leong BD, Chuah JA, Kumar VM, Yip CH

Asian Pac J Cancer Prev, 2007 Oct-Dec;8(4):525-9.
PMID: 18260722

INTRODUCTION: Malaysian women have a 1 in 20 chance of developing breast cancer in their lifetime. Sabah, formerly known as North Borneo, is part of East Malaysia with a population of 3.39 million and more than 30 ethnic groups. We conducted a 2 year prospective epidemiological study to provide unreported data of breast cancer from this part of the world and to recognise which particular group of patients are more likely to present with advanced disease.

METHODS: All newly diagnosed breast cancers seen at the Queen Elizabeth Hospital, Kota Kinabalu, from January 2005 to December 2006 were included in the study. Patient and tumour characteristics, including age, race, education, socioeconomic background, parity, practice of breast feeding, hormonal medication intake, menopausal status, family history, mode of presentation, histology, grade, stage of disease and hormonal receptors status were collected and analysed.

RESULTS: A total of 186 patients were seen. The commonest age group was 40 to 49 years old (32.3%). Chinese was the commonest race (30.6%) followed by Kadazan-Dusun (24.2%). The commonest histology was invasive ductal carcinoma (88.4%). Stages at presentation were Stage 0- 4.8%, Stage I- 12.9%, Stage II- 30.1%, Stage III- 36.6% and Stage IV- 15.6%. The estrogen and progesterone receptor status was positive in 59.1% and 54.8% of cases, respectively. 73.7% of Chinese patients presented with early cancer compared to 36.4% of the other races. Patients who presented with advanced disease were also poor, non-educated and from rural areas. 20.4% of patients defaulted treatment; most of them opted for traditional alternatives.

CONCLUSIONS: Sabahan women with breast cancer present late. Great efforts are needed to improve public awareness of breast cancer, especially among those who have higher risk of presenting with advanced disease.

Matched MeSH terms: Carcinoma, Ductal, Breast/pathology
Breast carcinoma in women 35 years and younger: a pathological study

Fernandopulle SM, Cher-Siangang P, Tan PH

Pathology, 2006 Jun;38(3):219-22.
PMID: 16753742

To document the pathological features of breast carcinoma diagnosed in women aged 35 years or less.

Matched MeSH terms: Carcinoma, Ductal, Breast/pathology*
C-erbB-2 oncoprotein amplification in infiltrating ductal carcinoma of breast relates to high histological grade and loss of oestrogen receptor protein

Looi LM, Cheah PL

Malays J Pathol, 1998 Jun;20(1):19-23.
PMID: 10879259

Eighty-six infiltrating ductal carcinoma of breast were studied by the standard avidin-biotin complex immunoperoxidase method on formalin-fixed, paraffin-embedded tissue sections, for oestrogen receptor (ER) protein and c-erbB-2 oncoprotein expression. They were categorized according to the modified Bloom and Richardson criteria into three histological grades. 21% tumours were ER positive while 44% were c-erbB-2 positive. Of ER positive tumours, 33.3% were c-erbB-2 positive whereas the c-erbB-2 positivity rate was much higher (47.1%) in ER negative tumours. Only 16% of c-erbB-2 positive tumours were ER positive while 25% of c-erbB-2 negative tumours were ER positive. This negative relationship between ER and c-erbB-2 expression was statistically significant (Mc Nemar's test, p < 0.005). The ER positivity rate did not vary significantly with histological grade. However, c-erbB-2 overexpression was significantly more prevalent in grade III tumours compared with grade I and II tumours (Chi-square test, p < 0.005). Since the c-erbB-2 oncogene has extensive structural homology to the epidermal growth factor receptor (EGFR) gene, we expect that c-erbB-2 oncoprotein would share functional similarities with EGFR leading to both loss of oestrogen receptor and poor prognosis in breast cancer. Its overexpression can be expected to relate to more aggressive tumour proliferation and may explain its correlation with high histological grade, a known indicator of aggressive cancer behaviour. As there is no indication that ER protein activity contributes to advancement in histological grade, it would appear that cellular dedifferentiation precedes ER loss during malignant transformation. It has been mooted that ER positive breast cancers which also show c-erbB-2 oncoprotein overexpression have a poorer response to hormonal therapy. The use of this parameter in the routine assessment of breast cancer patients may identify subsets of patients for more aggressive therapy.

Matched MeSH terms: Carcinoma, Ductal, Breast/pathology
Carcinoma of the pancreas: resection outcome at the University Hospital Kuala Lumpur

Shahrudin MD

Int Surg, 1997 Jul-Sep;82(3):269-74.
PMID: 9372373

Recent studies have demonstrated a reduction in the morbidity and mortality of pancreatic resection and improvement in the actuarial 5-year survival for patients with resected ductal adenocarcinoma. We reviewed the clinico-pathological characteristics of patients who underwent resection with curative intent for ductal adenocarcinoma of the pancreas between 1980 and 1993.

Matched MeSH terms: Carcinoma, Ductal, Breast/pathology
Chronic granulomatous mastitis with axillary lymphadenopathy in a nulliparous woman

Rajendran D, Chew BS, Wong MW, Cheong YT

Med J Malaysia, 2019 12;74(6):564-565.
PMID: 31929493

Chronic Granulomatous Mastitis (CGM) is a rare disorder and this generally occurs in young women with a recent history of lactation. Development of this disease in nulliparous women are rare with an incidence of 10%. Axillary lymphadenopathy is seen in 15% of cases diagnosed with CGM. We present a case of CGM in a 23- year-old nulliparous woman presenting with a breast mass and multiple axillary lymphadenopathy. To the best of our knowledge there are no documented cases of both these rare clinical features occurring simultaneously. The use of oral steroids prevented surgery and effectively induced remission.

Matched MeSH terms: Breast/pathology*
Fulltext Clinical characteristics of triple-negative breast cancer: experience in an Asian developing country

Tan GH, Taib NA, Choo WY, Teo SH, Yip CH

Asian Pac J Cancer Prev, 2009 Jul-Sep;10(3):395-8.
PMID: 19640180

INTRODUCTION: Triple negative (TN) breast cancers are defined by a lack of expression of oestrogen, progesterone, and HER2 receptors. They tend to have a higher grade, with a poorer outcome compared to non-TN breast cancers.
OBJECTIVE: The aim of this study is to determine the incidence of TN breast cancer in an Asian country consisting of Malays, Chinese and Indians, and to determine the factors associated with this type of breast cancer.
RESULTS: The incidence of TN breast cancer in the University Malaya Medical Center is 17.6%. There is no significant difference amongst the Malays, Chinese and Indians. In bivariate analysis, TN breast cancer was significantly associated with younger age and Grade 3. However, in multivariate analysis using logistic regression, TN breast cancer was only associated with Grade 3.
CONCLUSION: The incidence of TN breast cancer in our study is similar to other studies, and associated with a higher grade.
Study site: University Malaya Medical Centre (UMMC)

Matched MeSH terms: Carcinoma, Ductal, Breast/pathology*
Comparison of telomere length and telomerase activation between breast fibroadenoma and infiltrating ductal carcinoma in Malaysian women

Looi LM, Cheah PL, Ng MH, Yip CH, Mun KS, Rahman NA

Asian Pac J Cancer Prev, 2010;11(3):713-6.
PMID: 21039041

A study was initiated to explore possible differences in handling telomere attrition in the most common lignant and benign tumours of the breast in Malaysian women. Infiltrating ductal carcinoma (IDC) and fibroadenoma (FA) represented the malignant and benign prototypes respectively. 29 IDC, 28 FA and 22 benign non-lesional control (BNL) breast tissue samples were analysed for telomerase activation using a Telomerase PCR ELISA kit (Boehringer Mannheim). In addition, 23 IDC, 12 FA and 14 BNL were subjected to telomere length determination with a TeloTAGGG Telomere Length Assay Kit (Roche Diagnostic GmbH, Germany), following digestion of genomic DNA by frequently cutting restriction enzymes RsaI and HinfI. Mean telomerase activity in IDC (A450nm=0.3338), but not FA (A450nm=0.0003) was significantly raised (p<0.05) compared with BNL (A450nm=0.0031). Similarly IDC (1.2 kb), but not FA (2.2 kb), showed significant telomere shortening (p<0.05) relative to BNL (2.9 kb). The findings imply that telomere attrition and telomerase activation differ between malignant and benign tumours of the breast and may be important for targeted therapy.

Matched MeSH terms: Breast/pathology*; Carcinoma, Ductal, Breast/pathology*
Fulltext Computer aided detection of breast density and mass, and visualization of other breast anatomical regions on mammograms using graph cuts

Saidin N, Mat Sakim HA, Ngah UK, Shuaib IL

Comput Math Methods Med, 2013;2013:205384.
PMID: 24106523 DOI: 10.1155/2013/205384

Breast cancer mostly arises from the glandular (dense) region of the breast. Consequently, breast density has been found to be a strong indicator for breast cancer risk. Therefore, there is a need to develop a system which can segment or classify dense breast areas. In a dense breast, the sensitivity of mammography for the early detection of breast cancer is reduced. It is difficult to detect a mass in a breast that is dense. Therefore, a computerized method to separate the existence of a mass from the glandular tissues becomes an important task. Moreover, if the segmentation results provide more precise demarcation enabling the visualization of the breast anatomical regions, it could also assist in the detection of architectural distortion or asymmetry. This study attempts to segment the dense areas of the breast and the existence of a mass and to visualize other breast regions (skin-air interface, uncompressed fat, compressed fat, and glandular) in a system. The graph cuts (GC) segmentation technique is proposed. Multiselection of seed labels has been chosen to provide the hard constraint for segmentation of the different parts. The results are promising. A strong correlation (r = 0.93) was observed between the segmented dense breast areas detected and radiological ground truth.

Matched MeSH terms: Breast/pathology*
Fulltext Computer-aided segmentation system for breast MRI tumour using modified automatic seeded region growing (BMRI-MASRG)

Al-Faris AQ, Ngah UK, Isa NA, Shuaib IL

J Digit Imaging, 2014 Feb;27(1):133-44.
PMID: 24100762 DOI: 10.1007/s10278-013-9640-5

In this paper, an automatic computer-aided detection system for breast magnetic resonance imaging (MRI) tumour segmentation will be presented. The study is focused on tumour segmentation using the modified automatic seeded region growing algorithm with a variation of the automated initial seed and threshold selection methodologies. Prior to that, some pre-processing methodologies are involved. Breast skin is detected and deleted using the integration of two algorithms, namely the level set active contour and morphological thinning. The system is applied and tested on 40 test images from the RIDER breast MRI dataset, the results are evaluated and presented in comparison to the ground truths of the dataset. The analysis of variance (ANOVA) test shows that there is a statistically significance in the performance compared to the previous segmentation approaches that have been tested on the same dataset where ANOVA p values for the evaluation measures' results are less than 0.05, such as: relative overlap (p = 0.0002), misclassification rate (p = 0.045), true negative fraction (p = 0.0001) and sum of true volume fraction (p = 0.0001).

Matched MeSH terms: Breast/pathology*
Fulltext Concurrent massive breast enlargement, myasthenia gravis and dermopathy as manifestations of penicillamine toxicity in a Wilson's disease patient

Tan SS, Latif SA, Poh WY

Med J Malaysia, 2012 Jun;67(3):323-5.
PMID: 23082426 MyJurnal

Penicillamine toxicity in Wilson's disease has been well reported but rarely seen now as newer agents are being used. We present a case who developed multiple rare complications of Penicillamine concurrently. Our patient is one of three siblings on Penicillamine, she was the only one who developed massive breast enlargement four months after commencing Penicillamine therapy, as well as dermatological adverse reactions and myasthenia gravis three more months later. All the adverse effects improved soon after substitution of the offending agent with Trientine.

Matched MeSH terms: Breast/pathology*
Correlation between histological grade and c-erbB2 oncoprotein overexpression in infiltrating ductal carcinoma of breast

Looi LM, Cheah PL, Yap SF

Malays J Pathol, 1997 Jun;19(1):35-9.
PMID: 10879240

One hundred and twelve infiltrating ductal carcinoma of breast were studied by the standard avidinbiotin complex immunoperoxidase method on formalin-fixed, paraffin-embedded tissue sections, using a monoclonal antibody to c-erbB-2 oncoprotein. The same tumours were assessed and scored according to the Bloom and Richardson criteria into three histological grades. The distribution of tumours according to grade were: 8 Grade I, 34 Grade II and 70 Grade III. Forty-three (38.4%) tumours showed positive membrane staining for c-erbB-2 oncoprotein. These comprised 7 Grade II and 36 Grade III tumours with c-erbB-2 immunopositivity rates of 20.6% and 51.4% respectively. The oncoprotein was not expressed by Grade I tumours. This study shows a good correlation between c-erbB-2 expression and histological grade, a known prognostic indicator of invasive breast carcinoma. Because the c-erbB-2 oncogene has extensive structural homology to the epidermal growth factor receptor gene, its overexpression can be expected to result in more aggressive tumour behaviour. While it may be regarded as another indicator of poor prognosis breast cancers, its value in the selection of carcinomas less responsive to hormonal therapy and those more suitable for immunotherapy than chemotherapy has been mooted but remains to be clarified.

Matched MeSH terms: Carcinoma, Ductal, Breast/pathology*
Correlations in survivin expression with the expression of p53 and bcl-2 in invasive ductal carcinoma of the breast

Al-Joudi FS, Iskandar ZA, Imran AK

Southeast Asian J. Trop. Med. Public Health, 2007 Sep;38(5):904-10.
PMID: 18041310

This work studied the correlations between survivin, bcl-2 and p53 in infiltrating ductal carcinoma of the breast. A total number of 382 cases were collected from 3 hospitals in northeastern Malaysia. Survivin, bcl-2 and p53 were detected by immunohistochemistry on samples prepared from tissue blocks. Significant correlations were found between tumor histological grades and tumor size and lymph node involvement. Highly significant statistical correlations (p<0.001) were found in expression of the markers under study. It is concluded that such significant correlations may imply that the alterations in the expression take place in a concerted fashion, implying that many of these cases may share common abnormalities.

Matched MeSH terms: Carcinoma, Ductal, Breast/pathology

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