scholarly journals Nipple Aspirate Fluid at a Glance

Cancers ◽  
2021 ◽  
Vol 14 (1) ◽  
pp. 159
Author(s):  
Susana I. S. Patuleia ◽  
Karijn P. M. Suijkerbuijk ◽  
Elsken van der Wall ◽  
Paul J. van Diest ◽  
Cathy B. Moelans
Keyword(s):  
Breast Cancer ◽  
Breast Imaging ◽  
Imaging Techniques ◽  
Nipple Aspirate Fluid ◽  
Close Proximity ◽  
Breast Magnetic Resonance ◽  
Clinical Potential ◽  
Promising Source ◽  
Shed Light ◽  
Rule Out

Nipple aspirate fluid (NAF) is an intraductal mammary fluid that, because of its close proximity to and origin from the tissue from which breast cancer originates, is a promising source of biomarkers for early breast cancer detection. NAF can be non-invasively acquired via the nipple by aspiration using a suction device; using oxytocin nasal spray helps increase yield and tolerability. The aspiration procedure is generally experienced as more tolerable than the currently used breast imaging techniques mammography and breast magnetic resonance imaging. Future applications of NAF-derived biomarkers include their use as a tool in the detection of breast carcinogenesis at its earliest stage (before a tumor mass can be seen by imaging), or as a supporting diagnostic tool for imaging, such as when imaging is less reliable (to rule out false positives from imaging) or when imaging is not advisable (such as during pregnancy and breastfeeding). Ongoing clinical studies using NAF samples will likely shed light on NAF’s content and clinical potential. Here, we present a narrative review and perspectives of NAF research at a glance.

Layer-Wise Tumor Segmentation of Breast Images Using Convolutional Neural Networks

2021 ◽  
pp. 70-84
Author(s):  
Nishanth Krishnaraj ◽  
A. Mary Mekala ◽  
Bhaskar M. ◽  
Ruban Nersisson ◽  
Alex Noel Joseph Raj
Keyword(s):  
Breast Cancer ◽  
Neural Network ◽  
Network Architecture ◽  
Breast Imaging ◽  
Breast Tissue ◽  
Imaging Techniques ◽  
Tumor Segmentation ◽  
Cancer Type ◽  
The Neural Network ◽  
Life Threatening

Early prediction of cancer type has become very crucial. Breast cancer is common to women and it leads to life threatening. Several imaging techniques have been suggested for timely detection and treatment of breast cancer. More research findings have been done to accurately detect the breast cancer. Automated whole breast ultrasound (AWBUS) is a new breast imaging technology that can render the entire breast anatomy in 3-D volume. The tissue layers in the breast are segmented and the type of lesion in the breast tissue can be identified which is essential for cancer detection. In this chapter, a u-net convolutional neural network architecture is used to implement the segmentation of breast tissues from AWBUS images into the different layers, that is, epidermis, subcutaneous, and muscular layer. The architecture was trained and tested with the AWBUS dataset images. The performance of the proposed scheme was based on accuracy, loss and the F1 score of the neural network that was calculated for each layer of the breast tissue.

Advanced Imaging Techniques for the Detection of Breast Cancer

2012 ◽  
pp. 65-69 ◽  
Author(s):  
Maxine Jochelson
Keyword(s):  
Breast Cancer ◽  
High Risk ◽  
Breast Imaging ◽  
Early Stage ◽  
Imaging Techniques ◽  
Breast Cancer Mortality ◽  
Digital Breast Tomosynthesis ◽  
Ct Scanning ◽  
High Risk Women ◽  
Contrast Enhanced

Overview: Mammography is the only breast imaging examination that has been shown to reduce breast cancer mortality. Population-based sensitivity is 75% to 80%, but sensitivity in high-risk women with dense breasts is only in the range of 50%. Breast ultrasound and contrast-enhanced breast magnetic resonance imaging (MRI) have become additional standard modalities used in the diagnosis of breast cancer. In high-risk women, ultrasound is known to detect approximately four additional cancers per 1,000 women. MRI is exquisitely sensitive for the detection of breast cancer. In high-risk women, it finds an additional four to five cancers per 100 women. However, both ultrasound and MRI are also known to lead to a large number of additional benign biopsies and short-term follow-up examinations. Many new breast imaging tools have improved and are being developed to improve on our current ability to diagnose early-stage breast cancer. These can be divided into two groups. The first group is those that are advances in current techniques, which include digital breast tomosynthesis and contrast-enhanced mammography and ultrasound with elastography or microbubbles. The other group includes new breast imaging platforms such as breast computed tomography (CT) scanning and radionuclide breast imaging. These are exciting advances. However, in this era of cost and radiation containment, it is imperative to look at all of them objectively to see which will provide clinically relevant additional information.

Diagnosis of Bone and Liver Metastases in Breast Cancer Comparing Tumor Markers and Imaging Techniques

1989 ◽  
Vol 4 (2) ◽  
pp. 103-105 ◽  
Author(s):  
P. Zanco ◽  
G. Rota ◽  
V. Sportiello ◽  
N. Borsato ◽  
G. Ferlin
Keyword(s):  
Breast Cancer ◽  
Liver Metastases ◽  
Bone Metastases ◽  
Tumor Markers ◽  
Imaging Techniques ◽  
Hepatic Metastases ◽  
Serum Levels ◽  
Serum Markers ◽  
Surgical Removal ◽  
Rule Out

One hundred and forty-seven patients were examined by bone scintigraphy, ultrasonography and scintigraphic scan of the liver, at different times after surgical removal of a breast cancer, to rule out skeletal and hepatic metastases. At the same time as imaging procedures, serum levels of tumor markers (CEA, TPA and CA 15–3) were determined using radioimmunometric methods. One or more markers were elevated in all 13 patients with hepatic metastases; 9 out of 46 patients with bone metastases had all serum markers normal, with a sensitivity of 80%. Combined assay of the markers proved useful, TPA and CA 15–3 showing the best sensitivity in bone metastases, and all three markers in liver metastases.

Current Status and New Developments in Breast Cancer Diagnosis and Detection

2013 ◽  
Vol 09 (01) ◽  
pp. 21 ◽  
Author(s):  
Demitrios Tzias ◽  
Elizabeth AM O’Flynn ◽  
Steven D Allen ◽  
A Robin M Wilson ◽  
◽  
...  
Keyword(s):  
Breast Cancer ◽  
Magnetic Resonance Imaging ◽  
Magnetic Resonance ◽  
Breast Imaging ◽  
Imaging Techniques ◽  
Current Status ◽  
Routine Practice ◽  
Resonance Imaging ◽  
High Frequency Ultrasound ◽  
X Ray

Despite extensive research into new ways of imaging the breast x-ray mammography and breast ultrasound, supplemented where necessary by magnetic resonance imaging, remain the techniques used for the vast majority of breast imaging for screening and the assessment of symptomatic breast problems. Recent advances in these technologies mean that these three techniques are highly effective for both detecting disease and for confirming normality. X-ray based imaging of the breast has been around now for 100 years but it is only in the last 10 years or so that digital technology developments have allowed for major advances in the efficacy of this technique. Digital breast tomosynthesis is currently the most promising technology as it has the potential to both improve detection of breast cancer and greatly reduce the numbers of false positive events. Technological advances in grey scale high frequency ultrasound imaging mean that it is now universally used in both symptomatic diagnosis and breast screening. Newer ultrasound techniques such as 3D imaging, Doppler analyses and elastography add some additional value but so far none of these has achieved their hoped for additional potential. Magnetic resonance imaging is currently the most sensitive imaging technique for the detection and characterisation of breast disease, but its cost remains a barrier to its more widespread use. Nuclear medicine techniques have a role is special circumstances but are yet to show that they should be used in routine practice. There are a large number of potential alternative new imaging techniques for the breast, but, as yet, none of these have shown any significant benefits over the current techniques. Dedicated breast computed tomography has perhaps the best promise but clinically effective breast imaging at present remains in the application and refinement of recent developments in digital mammography, ultrasound and magnetic resonance imaging.

Geomatics for Precise 3D Breast Imaging

2005 ◽  
Vol 4 (1) ◽  
pp. 29-38
Author(s):  
Hilary Alto
Keyword(s):  
Breast Cancer ◽  
Breast Imaging ◽  
Imaging Techniques ◽  
Survey Methods ◽  
Control Object ◽  
Depth Map ◽  
Bundle Adjustment ◽  
X Ray ◽  
Screening Programs ◽  
Direct Linear Transform

Canadian women have a one in nine chance of developing breast cancer during their lifetime. Mammography is the most common imaging technology used for breast cancer detection in its earliest stages through screening programs. Clusters of microcalcifications are primary indicators of breast cancer; the shape, size and number may be used to determine whether they are malignant or benign. However, overlapping images of calcifications on a mammogram hinder the classification of the shape and size of each calcification and a misdiagnosis may occur resulting in either an unnecessary biopsy being performed or a necessary biopsy not being performed. The introduction of 3D imaging techniques such as standard photogrammetry may increase the confidence of the radiologist when making his/her diagnosis. In this paper, traditional analytical photogrammetric techniques for the 3D mathematical reconstruction of microcalcifications are presented. The techniques are applied to a specially designed and constructed x-ray transparent Plexiglas phantom (control object). The phantom was embedded with 1.0 mm x-ray opaque lead pellets configured to represent overlapping microcalcifications. Control points on the phantom were determined by standard survey methods and hand measurements. X-ray films were obtained using a LORAD M-III mammography machine. The photogrammetric techniques of relative and absolute orientation were applied to the 2D mammographic films to analytically generate a 3D depth map with an overall accuracy of 0.6 mm. A Bundle Adjustment and the Direct Linear Transform were used to confirm the results.

scholarly journals Anatomical Breast Imaging Derived Parameters Do Not Provide Incremental Information In Prediction of Nonvisualization of Sentinel Lymph Nodes On Lymphoscintigraphy

2022 ◽  
Author(s):  
Youssef Chahid ◽  
Hein J. Verberne ◽  
Edwin Poel ◽  
N. Harry Hendrikse ◽  
Jan Booij
Keyword(s):  
Breast Cancer ◽  
Retrospective Study ◽  
Cancer Patients ◽  
Breast Imaging ◽  
Multivariable Analysis ◽  
Breast Mri ◽  
Breast Cancer Patients ◽  
Incremental Information ◽  
Breast Magnetic Resonance ◽  
Magnetic Resonance Imaging Mri

Abstract Background: Accurate sentinel lymph node (SLN) staging is essential for both prognosis and treatment in patients with breast cancer. However, the preoperative lymphoscintigraphy may fail to visualize the SLN. The aim of this retrospective study was to investigate whether parameters derived from anatomical breast imaging can predict SLN nonvisualization on lymphoscintigraphy. For this single-center retrospective study all data of mammography, breast magnetic resonance imaging (MRI), and lymphoscintigraphy of SLN procedures from January 2016 to April 2021 were collected and reviewed from the Amsterdam UMC electronic health records database.Results: A total of 758 breast cancer patients were included in this study. The SLN nonvisualization rate was 29.7% on lymphoscintigraphy. Multivariable analysis showed that age ≥ 70 years (P = 0.019; OR: 1.82; 95% CI: 1.10–3.01), BMI ≥ 30 kg/m2 (P = 0.031; OR: 1.59; 95% CI: 1.04–2.43), and nonpalpable tumors (P = 0.034; OR: 1.54; 95% CI: 1.03–2.04) were independent predictors of SLN nonvisualization. Differences in tumor size, Breast Imaging-Reporting and Data System (BI-RADS) classification, or breast density were not significantly associated with SLN nonvisualization.Conclusions: This study shows that, by using a multivariable analysis, risk factors for SLN nonvisualization in breast cancer patients during preoperative lymphoscintigraphy are age ≥70 years, BMI ≥30 kg/m2, and nonpalpable tumors. Parameters derived from mammography or breast MRI, however, are not useful to predict SLN nonvisualization on lymphoscintigraphy.

Imaging Techniques for Breast Cancer Diagnosis

2021 ◽  
pp. 188-210
Author(s):  
Debasray Saha ◽  
Neeraj Vaishnav ◽  
Abhimanyu Kumar Jha
Keyword(s):  
Breast Cancer ◽  
Breast Imaging ◽  
Imaging Techniques ◽  
Relevant Literature ◽  
Breast Cancer Diagnosis ◽  
Clinical Protocols ◽  
Physiological Processes ◽  
Screening Ultrasound ◽  
Typical Variety ◽  
Imaging Perspective

Breast cancer is the most typical variety of cancer in women worldwide. Mammography is the “gold standard” for the analysis of the breast from an imaging perspective. Altogether, the techniques used within the management of cancer in all stages are multiple biomedical imaging. Imaging as a very important part of cancer clinical protocols can offer a range of knowledge regarding morphology, structure, metabolism, and functions. Supported by relevant literature, this text provides an outline of the previous and new modalities employed in the sector of breast imaging. Any progress in technology can result in increased imaging speed to satisfy physiological processes necessities. One of the problems within the designation of breast cancer is sensitivity limitation. To overcome this limitation, complementary imaging examinations are used that historically include screening, ultrasound, MRI, etc.

scholarly journals Ductal Carcinoma in Situ: Current Concepts in Biology, Imaging, and Treatment

2019 ◽  
Vol 1 (3) ◽  
pp. 166-176 ◽  
Author(s):  
Mariam Shehata ◽  
Lars Grimm ◽  
Nancy Ballantyne ◽  
Ana Lourenco ◽  
Linda R Demello ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Ductal Carcinoma In Situ ◽  
Carcinoma In Situ ◽  
Breast Imaging ◽  
Ductal Carcinoma ◽  
Imaging Techniques ◽  
Medical Community ◽  
Adjuvant Radiation ◽  
Imaging Features

Abstract Ductal carcinoma in situ (DCIS) of the breast is a group of heterogeneous epithelial proliferations confined to the milk ducts that nearly always present in asymptomatic women on breast cancer screening. A stage 0, preinvasive breast cancer, increased detection of DCIS was initially hailed as a means to prevent invasive breast cancer through surgical treatment with adjuvant radiation and/or endocrine therapies. However, controversy in the medical community has emerged in the past two decades that a fraction of DCIS represents overdiagnosis, leading to unnecessary treatments and resulting morbidity. The imaging hallmarks of DCIS include linearly or segmentally distributed calcifications on mammography or nonmass enhancement on breast MRI. Imaging features have been shown to reflect the biological heterogeneity of DCIS lesions, with recent studies indicating MRI may identify a greater fraction of higher-grade lesions than mammography does. There is strong interest in the surgical, imaging, and oncology communities to better align DCIS management with biology, which has resulted in trials of active surveillance and therapy that is less aggressive. However, risk stratification of DCIS remains imperfect, which has limited the development of precision therapy approaches matched to DCIS aggressiveness. Accordingly, there are opportunities for breast imaging radiologists to assist the oncology community by leveraging advanced imaging techniques to identify appropriate patients for the less aggressive DCIS treatments.

scholarly journals Digital Analysis in Breast Imaging

Breast Care ◽  
2019 ◽  
Vol 14 (3) ◽  
pp. 142-150
Author(s):  
Giovanna Negrão de Figueiredo ◽  
Michael Ingrisch ◽  
Eva Maria Fallenberg
Keyword(s):  
Breast Cancer ◽  
Breast Imaging ◽  
Interobserver Variability ◽  
Imaging Techniques ◽  
Imaging Features ◽  
Digital Analysis ◽  
Imaging Analysis ◽  
Screening Programs ◽  
Recent Developments ◽  
Malignant Changes

Breast imaging is a multimodal approach that plays an essential role in the diagnosis of breast cancer. Mammography, sonography, magnetic resonance, and image-guided biopsy are imaging techniques used to search for malignant changes in the breast or precursors of malignant changes in, e.g., screening programs or follow-ups after breast cancer treatment. However, these methods still have some disadvantages such as interobserver variability and the mammography sensitivity in women with radiologically dense breasts. In order to overcome these difficulties and decrease the number of false positive findings, improvements in imaging analysis with the help of artificial intelligence are constantly being developed and tested. In addition, the extraction and correlation of imaging features with special tumor characteristics and genetics of the patients in order to get more information about treatment response, prognosis, and also cancer risk are coming more and more in focus. The aim of this review is to address recent developments in digital analysis of images and demonstrate their potential value in multimodal breast imaging.

scholarly journals A Decade of Change: An Institutional Experience with Breast Surgery in 1995 and 2005

2008 ◽  
Vol 1 ◽  
pp. BCBCR.S587
Author(s):  
Amber A. Guth ◽  
Beth Ann Shanker ◽  
Daniel F. Roses ◽  
Deborah Axelrod ◽  
Baljit Singh ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Surgical Management ◽  
Breast Imaging ◽  
Breast Surgery ◽  
Early Stage ◽  
Imaging Techniques ◽  
Screening Mammography ◽  
Breast Cancers ◽  
Cancer Awareness ◽  
Image Guided

Introduction With the adoption of routine screening mammography, breast cancers are being diagnosed at earlier stages, with DCIS now accouting for 22.5% of all newly diagnosed breast cancers. This has been attributed to both increased breast cancer awareness and improvements in breast imaging techniques. How have these changes, including the increased use of image-guided sampling techniques, influenced the clinical practice of breast surgery? Methods The institutional pathology database was queried for all breast surgeries, including breast reconstruction, performed in 1995 and 2005. Cosmetic procedures were excluded. The results were analysed utilizing the Chi-square test. Results Surgical indications changed during 10-year study period, with an increase in preoperatively diagnosed cancers undergoing definitive surgical management. ADH, and to a lesser extent, ALH, became indications for surgical excision. Fewer surgical biopsies were performed for indeterminate abnormalities on breast imaging, due to the introduction of stereotactic large core biopsy. While the rate of benign breast biopsies remained constant, there was a higher percentage of precancerous and DCIS cases in 2005. The overall rate of mastectomy decreased from 36.8% in 1995 to 14.5% in 2005. With the increase in sentinel node procedures, the rate of ALND dropped from 18.3% to 13.7%. Accompanying the increased recognition of early-stage cancers, the rate of positive ALND also decreased, from 43.3% to 25.0%. Conclusions While the rate of benign breast biopsies has remained constant over a recent 10-year period, fewer diagnostic surgical image-guided biopsies were performed in 2005. A greater percentage of patients with breast cancer or preinvasive disease have these diagnoses determined before surgery. More preinvasive and Stage 0 cancers are undergoing surgical management. Earlier stage invasive cancers are being detected, reflected by the lower incidence of axillary nodal metastases.

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