scholarly journals A Bottom-Up Review of Image Analysis Methods for Suspicious Region Detection in Mammograms

2021 ◽  
Vol 7 (9) ◽  
pp. 190
Author(s):  
Parita Oza ◽  
Paawan Sharma ◽  
Samir Patel ◽  
Alessandro Bruno
Keyword(s):  
Breast Cancer ◽  
Biomedical Imaging ◽  
Critical Role ◽  
Breast Mri ◽  
Image Features ◽  
Mass Detection ◽  
Bottom Up ◽  
Region Detection ◽  
Suspicious Region ◽  
Pros And Cons

Breast cancer is one of the most common death causes amongst women all over the world. Early detection of breast cancer plays a critical role in increasing the survival rate. Various imaging modalities, such as mammography, breast MRI, ultrasound and thermography, are used to detect breast cancer. Though there is a considerable success with mammography in biomedical imaging, detecting suspicious areas remains a challenge because, due to the manual examination and variations in shape, size, other mass morphological features, mammography accuracy changes with the density of the breast. Furthermore, going through the analysis of many mammograms per day can be a tedious task for radiologists and practitioners. One of the main objectives of biomedical imaging is to provide radiologists and practitioners with tools to help them identify all suspicious regions in a given image. Computer-aided mass detection in mammograms can serve as a second opinion tool to help radiologists avoid running into oversight errors. The scientific community has made much progress in this topic, and several approaches have been proposed along the way. Following a bottom-up narrative, this paper surveys different scientific methodologies and techniques to detect suspicious regions in mammograms spanning from methods based on low-level image features to the most recent novelties in AI-based approaches. Both theoretical and practical grounds are provided across the paper sections to highlight the pros and cons of different methodologies. The paper’s main scope is to let readers embark on a journey through a fully comprehensive description of techniques, strategies and datasets on the topic.

Disparities in preoperative imaging for breast cancer: Not so black and white.

2012 ◽  
Vol 30 (15_suppl) ◽  
pp. 6061-6061
Author(s):  
Richard J. Bleicher ◽  
Karen Ruth ◽  
Elin R. Sigurdson ◽  
Kathryn Evers ◽  
Margaret Lord Crivello ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Physician Visit ◽  
Bone Scan ◽  
Critical Role ◽  
Multivariable Analysis ◽  
Breast Mri ◽  
Urban Setting ◽  
Preoperative Imaging ◽  
Median Income ◽  
Medicare Patients

6061 Background: Controversy exists about racial/ethnic differences in the care of breast cancer patients. Imaging plays a critical role in evaluation, but little national data exists on breast imaging by race. This study was performed to determine if imaging disparities exist in Medicare patients, when adjusting for socioeconomic (SE) factors. Methods: Surveillance Epidemiology and End Results (SEER) data linked to Medicare claims were reviewed for patients diagnosed with invasive nonmetastatic breast cancer between 2000 and 2005, undergoing surgery as their 1st treatment modality. Diagnostic imaging was reviewed during the interval between the 1st physician visit and surgery (“preoperative interval”[POI]) and imaging use was defined as ≥1 imaging-specific claim. SE factors included rural/urban setting, and education, poverty, and median income per census tract. Results: Among 39,790 patients, there were 34,774 White (87%), 2,341 Black (5.9%), 1,459 Hispanic (3.7%), and 1,216 Asian/Pacific Islander (3.1%) patients. Univariate racial differences were noted for all imaging types (p’s <0.0001 to 0.007). During the POI, when adjusting for demographics, tumor characteristics, and SE factors in multivariable analysis, use of mammogram, ultrasound (US), breast MRI, CT, and bone scan were not different between Blacks and Whites. Education level was a predictor for US (p=0.007), breast MRI (p<0.0001), CT (p=0.006) and bone scan use (p=0.002), but not mammography (p=0.90). There were varying correlations between Hispanics or Asians vs Whites for all imaging types. Stage, histology, U.S. region, and comorbidity index were most consistently predictive of imaging use of all types. When evaluating 6 mos prior to the 1st physician visit along with the POI, 96.4% of all patients had ≥1 mammogram, with 94.1% of Blacks having mammograms vs 96.5% of Whites (OR 0.7, 95% CI 0.6-0.9; p=0.001). Conclusions: There is little racial difference in imaging performed during the POI for Medicare patients having breast cancer, and efforts to determine causes of survival disparities in such patients should be focused elsewhere. Whether these findings apply to the privately insured or the uninsured requires additional exploration.

First experience with MRI-guided vacuum aspirated breast biopsy

2020 ◽  
pp. 25-31
Author(s):  
M. L. Mazo ◽  
O. E. Jacobs ◽  
O. S. Puchkova ◽  
M. V. Feldsherov ◽  
E. V. Kondratyev
Keyword(s):  
Breast Cancer ◽  
Breast Augmentation ◽  
Breast Biopsy ◽  
Breast Mri ◽  
Breast Tumors ◽  
High Tech ◽  
X Ray ◽  
Vacuum Aspiration ◽  
Mri Guided ◽  
Aesthetic Breast

The rate of detection of breast cancer by MRI, while other methods of radiological diagnosis are not sufficiently informative, ranges from 5.2 to 26.3 per cent. Suspicious breast tumors of category BI-RADS 4, 5 show morphological image-guided biopsy verification, in particular MRI with contrast. Purpose. To show the possibilities and features of carrying out MRI-guided vacuum breast biopsy, including after aesthetic breast augmentation. Material and methods. A comprehensive X-ray, ultrasound and MRI examination of 54 women aged between 28 and 70 years with different breast tumors was conducted. Of these, five were detected only by breast MRI with contrast, and were morphologically verified by MRI-guided vacuum aspiration biopsy. Results. 14 of the 54 patients with breast mass were diagnosed with breast cancer and 26 were diagnosed with benign diseases. The effectiveness of comprehensive examination and low-invasive high-tech MRI-guided procedures in early refined screening for breast cancer, including after aesthetic breast augmentation, has been demonstrated. MRI-guided vacuum-assisted breast biopsy is a fast, safe and accurate diagnostic method of morphological verification of suspicious breast tumors that do not have X-ray and ultrasound.

Recent Advances on Epidermal Growth Factor Receptor as a Molecular Target for Breast Cancer Therapeutics

2020 ◽  
Vol 21 ◽  
Author(s):  
Swathi R. Shetty ◽  
Ragini Yeeravalli ◽  
Tanya Bera ◽  
Amitava Das
Keyword(s):  
Breast Cancer ◽  
Epidermal Growth Factor Receptor ◽  
Growth Factor ◽  
Epidermal Growth Factor ◽  
Tyrosine Kinase ◽  
Critical Role ◽  
Growth Factor Receptor ◽  
Type I ◽  
Egfr Inhibition ◽  
Epidermal Growth

: Epidermal growth factor receptor (EGFR), a type-I transmembrane protein with intrinsic tyrosine kinase activity is activated by peptide growth factors such as EGF, epigen, amphiregulin, etc. EGFR plays a vital role in regulating cell growth, migration, and differentiation in various tissue-specific cancers. It has been reported to be overexpressed in lung, head, and neck, colon, brain, pancreatic, and breast cancer that trigger tumor progression and drug resistance. EGFR overexpression alters the signaling pathway and induces cell division, invasion, and cell survival. Our prior studies demonstrated that EGFR inhibition modulates chemosensitivity in breast cancer stem cells thereby serving as a potential drug target for breast cancer mitigation. Tyrosine kinase inhibitors (Lapatinib, Neratinib) and monoclonal antibodies (Trastuzumab) targeting EGFR have been developed and approved by the US FDA for clinical use against breast cancer. This review highlights the critical role of EGFR in breast cancer progression and enumerates the various approaches being undertaken to inhibit aggressive breast cancers by suppressing the downstream pathways. Further, the mechanisms of action of potential molecules at various stages of drug development as well as clinically approved drugs for breast cancer treatment are illustrated.

scholarly journals Long non-coding RNA ARHGAP5-AS1 inhibits migration of breast cancer cell via stabilizing SMAD7 protein

2021 ◽  
Author(s):  
Chen-Long Wang ◽  
Jing-Chi Li ◽  
Ci-Xiang Zhou ◽  
Cheng-Ning Ma ◽  
Di-Fei Wang ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Cell Migration ◽  
Cell Lines ◽  
Cancer Cell ◽  
Breast Cancer Cell ◽  
Rho Gtpase ◽  
Critical Role ◽  
Luciferase Reporter ◽  
Breast Cancer Cell Lines ◽  
Smad7 Protein

Abstract Purpose Tumor metastasis is the main cause of death from breast cancer patients and cell migration plays a critical role in cancer metastasis. Recent studies have shown long non-coding RNAs (lncRNAs) play an essential role in the initiation and progression of cancer. In the present study, the role of an LncRNA, Rho GTPase Activating Protein 5- Antisense 1 (ARHGAP5-AS1) in breast cancer was investigated. Methods RNA sequencing was performed to find out dysregulated LncRNAs in MDA-MB-231-LM2 cells. Transwell migration assays and F-actin staining were utilized to estimate cell migration ability. RNA pulldown assays and RNA immunoprecipitation were used to prove the interaction between ARHGAP5-AS1 and SMAD7. Western blot and immunofluorescence imaging were used to examine the protein levels. Dual luciferase reporter assays were performed to evaluate the activation of TGF-β signaling. Results We analyzed the RNA-seq data of MDA-MB-231 and its highly metastatic derivative MDA-MB-231-LM2 cell lines (referred to as LM2) and identified a novel lncRNA (NR_027263) named as ARHGAP5-AS1, which expression was significantly downregulated in LM2 cells. Further functional investigation showed ARHGAP5-AS1 could inhibit cell migration via suppression of stress fibers in breast cancer cell lines. Afterwards, SMAD7 was further identified to interact with ARHGAP5-AS1 by its PY motif and thus its ubiquitination and degradation was blocked due to reduced interaction with E3 ligase SMURF1 and SMURF2. Moreover, ARHGAP5-AS1 could inhibit TGF-β signaling pathway due to its inhibitory role on SMAD7. Conclusion ARHGAP5-AS1 inhibits breast cancer cell migration via stabilization of SMAD7 protein and could serve as a novel biomarker and a potential target for breast cancer in the future.

scholarly journals Mammary gland adipocytes in lactation cycle, obesity and breast cancer

2021 ◽  
Author(s):  
Georgia Colleluori ◽  
Jessica Perugini ◽  
Giorgio Barbatelli ◽  
Saverio Cinti
Keyword(s):  
Breast Cancer ◽  
Mammary Gland ◽  
Epithelial Cells ◽  
Close Association ◽  
Critical Role ◽  
Exocrine Gland ◽  
Plastic Properties ◽  
Lactation Cycle ◽  
Gland Development

AbstractThe mammary gland (MG) is an exocrine gland present in female mammals responsible for the production and secretion of milk during the process of lactation. It is mainly composed by epithelial cells and adipocytes. Among the features that make the MG unique there are 1) its highly plastic properties displayed during pregnancy, lactation and involution (all steps belonging to the lactation cycle) and 2) its requirement to grow in close association with adipocytes which are absolutely necessary to ensure MG’s proper development at puberty and remodeling during the lactation cycle. Although MG adipocytes play such a critical role for the gland development, most of the studies have focused on its epithelial component only, leaving the role of the neighboring adipocytes largely unexplored. In this review we aim to describe evidences regarding MG’s adipocytes role and properties in physiologic conditions (gland development and lactation cycle), obesity and breast cancer, emphasizing the existing gaps in the literature which deserve further investigation.

Susceptibility artifact at breast MRI due to retained fragment of localization hook‐wire hiding breast cancer

2021 ◽  
Author(s):  
Almir Galvão Vieira Bitencourt ◽  
Vinicius Cardona Felipe ◽  
Mauricio Doi ◽  
Luciana Graziano
Keyword(s):  
Breast Cancer ◽  
Breast Mri ◽  
Susceptibility Artifact ◽  
Hook Wire

scholarly journals Collagen molecular phenotypic switch between non-neoplastic and neoplastic canine mammary tissues

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Masahiko Terajima ◽  
Yuki Taga ◽  
Becky K. Brisson ◽  
Amy C. Durham ◽  
Kotaro Sato ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Mammary Gland ◽  
Mammary Carcinoma ◽  
Cancer Biology ◽  
Type I Collagen ◽  
Critical Role ◽  
Premature Death ◽  
Mammary Tissue ◽  
Type I ◽  
Cross Links

AbstractIn spite of major advances over the past several decades in diagnosis and treatment, breast cancer remains a global cause of morbidity and premature death for both human and veterinary patients. Due to multiple shared clinicopathological features, dogs provide an excellent model of human breast cancer, thus, a comparative oncology approach may advance our understanding of breast cancer biology and improve patient outcomes. Despite an increasing awareness of the critical role of fibrillar collagens in breast cancer biology, tumor-permissive collagen features are still ill-defined. Here, we characterize the molecular and morphological phenotypes of type I collagen in canine mammary gland tumors. Canine mammary carcinoma samples contained longer collagen fibers as well as a greater population of wider fibers compared to non-neoplastic and adenoma samples. Furthermore, the total number of collagen cross-links enriched in the stable hydroxylysine-aldehyde derived cross-links was significantly increased in neoplastic mammary gland samples compared to non-neoplastic mammary gland tissue. The mass spectrometric analyses of type I collagen revealed that in malignant mammary tumor samples, lysine residues, in particular those in the telopeptides, were markedly over-hydroxylated in comparison to non-neoplastic mammary tissue. The extent of glycosylation of hydroxylysine residues was comparable among the groups. Consistent with these data, expression levels of genes encoding lysyl hydroxylase 2 (LH2) and its molecular chaperone FK506-binding protein 65 were both significantly increased in neoplastic samples. These alterations likely lead to an increase in the LH2-mediated stable collagen cross-links in mammary carcinoma that may promote tumor cell metastasis in these patients.

scholarly journals Diffusion tensor imaging on 3-T MRI breast: diagnostic performance in comparison to diffusion-weighted imaging

2021 ◽  
Vol 52 (1) ◽  
Author(s):  
Dalia Abdelhady ◽  
Amany Abdelbary ◽  
Ahmed H. Afifi ◽  
Alaa-eldin Abdelhamid ◽  
Hebatallah H. M. Hassan
Keyword(s):  
Breast Cancer ◽  
Diffusion Tensor Imaging ◽  
Sensitivity And Specificity ◽  
Diffusion Weighted Imaging ◽  
Diffusion Tensor ◽  
Breast Mri ◽  
Breast Lesions ◽  
Dce Mri ◽  
Additional Tool ◽  
Diffusion Weighted

Abstract Background Breast cancer is the most prevalent cancer among females. Dynamic contrast-enhanced MRI (DCE-MRI) breast is highly sensitive (90%) in the detection of breast cancer. Despite its high sensitivity in detecting breast cancer, its specificity (72%) is moderate. Owing to 3-T breast MRI which has the advantage of a higher signal to noise ratio and shorter scanning time rather than the 1.5-T MRI, the adding of new techniques as diffusion tensor imaging (DTI) to breast MRI became more feasible. Diffusion-weighted imaging (DWI) which tracks the diffusion of the tissue water molecule as well as providing data about the integrity of the cell membrane has been used as a valuable additional tool of DCE-MRI to increase its specificity. Based on DWI, more details about the microstructure could be detected using diffusion tensor imaging. The DTI applies diffusion in many directions so apparent diffusion coefficient (ADC) will vary according to the measured direction raising its sensitivity to microstructure elements and cellular density. This study aimed to investigate the diagnostic accuracy of DTI in the assessment of breast lesions in comparison to DWI. Results By analyzing the data of the 50 cases (31 malignant cases and 19 benign cases), the sensitivity and specificity of DWI in differentiation between benign and malignant lesions were about 90% and 63% respectively with PPV 90% and NPV 62%, while the DTI showed lower sensitivity and specificity about 81% and 51.7%, respectively, with PPV 78.9% and NPV 54.8% (P-value ≤ 0.05). Conclusion While the DWI is still the most established diffusion parameter, DTI may be helpful in the further characterization of tumor microstructure and differentiation between benign and malignant breast lesions.

Sign in / Sign up

Export Citation Format

Share Document