Current Status of Breast Ultrasound

AbstractUltrasound (US) has a significant role in diagnostic breast imaging. It is most commonly used as an adjunctive test in characterizing lesions detected by other imaging modalities or by clinical examination. US is recognized as the modality of choice in the evaluation of women who are symptomatic and younger than 30 years of age, pregnant, or lactating. Combined mammography and US appear to have a role in screening high-risk populations. The use of standard Breast Imaging Reporting and Data System US lexicon is helpful in guiding the differentiation between benign and malignant sonographic signs. Biopsy is warranted when benign features are absent or for any feature consistent with malignancy, despite other benign findings. Whole breast and axillary US are useful in assessing tumour extension, multifocality, and the status of axillary lymph nodes. US is the modality of choice for guiding interventional breast procedures. The role of US as a guidance tool for nonoperative breast treatment is being investigated

Imaging of the Breast

Early detection of breast cancer combined with targeted therapy offers the best outcome for breast cancer patients. This volume deal with a wide range of new technical innovations for improving breast cancer detection, diagnosis and therapy. There is a special focus on improvements in mammographic image quality, image analysis, magnetic resonance imaging of the breast and molecular imaging. A chapter on targeted therapy explores the option of less radical postoperative therapy for women with early, screen-detected breast cancers

Mammography Techniques and Review

Mammography remains at the backbone of medical tools to examine the human breast. The early detection of breast cancer typically uses adjunct tests to mammogram such as ultrasound, positron emission mammography, electrical impedance, Computer-aided detection systems and others. In the present digital era it is even more important to use the best new techniques and systems available to improve the correct diagnosis and to prevent mortality from breast cancer. The first part of this book deals with the electrical impedance mammographic scheme, ultrasound axillary imaging, position emission mammography and digital mammogram enhancement. A detailed consideration of CBR CAD System and the availability of mammographs in Brazil forms the second part of this book. With the up-to-date papers from world experts, this book will be invaluable to anyone who studies the field of mammography

Label-free multiphoton excitation imaging as a promising diagnostic tool for breast cancer

Histopathological diagnosis is the ultimate method of attaining the final diagnosis; however, the observation range is limited to the two-dimensional plane, and it requires thin slicing of the tissue, which limits diagnostic information. To seek solutions for these problems, we proposed a novel imaging-based histopathological examination. We used the multiphoton excitation microscopy (MPM) technique to establish a method for visualizing unfixed/unstained human breast tissues. Under near-infrared ray excitation, fresh human breast tissues emitted fluorescent signals with three major peaks, which enabled visualizing the breast tissue morphology without any fixation or dye staining. Our study using human breast tissue samples from 32 patients indicated that experienced pathologists can estimate normal or cancerous lesions using only these MPM images with a kappa coefficient of 1.0. Moreover, we developed an image classification algorithm with artificial intelligence that enabled us to automatically define cancer cells in small areas with a high sensitivity of ≥0.942. Taken together, label-free MPM imaging is a promising method for the real-time automatic diagnosis of breast cancer.This is the pre-peer reviewed version of the following article:Matsui T., Iwasa A., Mimura M., et al. Label-free multiphoton excitation imaging as a promising diagnostic tool for breast cancer. Cancer Science 113, 2916 (2022), which has been published in final form at https://doi.org/10.1111/cas.15428. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Self-Archiving

Complexity Reduction in Image-Based Breast Cancer Care

The diversity of malignancies of the breast requires personalized diagnostic and therapeutic decision making in a complex situation. This thesis contributes in three clinical areas: (1) For clinical diagnostic image evaluation, computer-aided detection and diagnosis of mass and non-mass lesions in breast MRI is developed. 4D texture features characterize mass lesions. For non-mass lesions, a combined detection/characterisation method utilizes the bilateral symmetry of the breast s contrast agent uptake. (2) To improve clinical workflows, a breast MRI reading paradigm is proposed, exemplified by a breast MRI reading workstation prototype. Instead of mouse and keyboard, it is operated using multi-touch gestures. The concept is extended to mammography screening, introducing efficient navigation aids. (3) Contributions to finite element modeling of breast tissue deformations tackle two clinical problems: surgery planning and the prediction of the breast deformation in a MRI biopsy device

Clinical Outcome of Magnetic Resonance Imaging-Detected Additional Lesions in Breast Cancer Patients

Purpose: The aim of this study was to investigate the clinical outcome of additional breast lesions identified with breast magnetic resonance imaging (MRI) in breast cancer patients. Methods: A total of 153 patients who underwent breast MRI between July 2006 and March 2008 were retrospectively reviewed. Thirty-three patients (21.6%) were recommended for second-look ultrasound (US) for further characterization of additional lesions detected on breast MRI and these patients constituted our study population. Results: Assessment for lesions detected on breast MRI consisted of the following: 25 benign lesions (73.5%), two indeterminate (5.9%), and seven malignant (20.6%) in 33 patients. Second-look US identified 12 additional lesions in 34 lesions (35.3%) and these lesions were confirmed by histological examination. Of the 12 lesions found in the 11 patients, six (50.0%) including one contralateral breast cancer were malignant. The surgical plan was altered in 18.2 % (six of 33) of the patients. The use of breast MRI justified a change in treatment for four patients (66.7%) and caused two patients (33.3%) to undergo unwarranted additional surgical procedures. Conclusion: Breast MRI identified additional multifocal or contralateral cancer which was not detected initially on conventional imaging in breast cancer patients. Breast MRI has become an indispensable modality in conjunction with conventional modalities for preoperative evaluation of patients with operable breast cancer

Novel 3D Ultrasound Elastography Techniques for In Vivo Breast Tumor Imaging and Nonlinear Characterization

Breast cancer comprises about 29% of all types of cancer in women worldwide. This type of cancer caused what is equivalent to 14% of all female deaths due to cancer. Nowadays, tissue biopsy is routinely performed, although about 80% of the performed biopsies yield a benign result. Biopsy is considered the most costly part of breast cancer examination and invasive in nature. To reduce unnecessary biopsy procedures and achieve early diagnosis, ultrasound elastography was proposed.;In this research, tissue displacement fields were estimated using ultrasound waves, and used to infer the elastic properties of tissues. Ultrasound radiofrequency data acquired at consecutive increments of tissue compression were used to compute local tissue strains using a cross correlation method. In vitro and in vivo experiments were conducted on different tissue types to demonstrate the ability to construct 2D and 3D elastography that helps distinguish stiff from soft tissues. Based on the constructed strain volumes, a novel nonlinear classification method for human breast tumors is introduced. Multi-compression elastography imaging is elucidated in this study to differentiate malignant from benign tumors, based on their nonlinear mechanical behavior under compression. A pilot study on ten patients was performed in vivo, and classification results were compared with biopsy diagnosis - the gold standard. Various nonlinear parameters based on different models, were evaluated and compared with two commonly used parameters; relative stiffness and relative tumor size. Moreover, different types of strain components were constructed in 3D for strain imaging, including normal axial, first principal, maximum shear and Von Mises strains. Interactive segmentation algorithms were also evaluated and applied on the constructed volumes, to delineate the stiff tissue by showing its isolated 3D shape.;Elastography 3D imaging results were in good agreement with the biopsy outcomes, where the new classification method showed a degree of discrepancy between benign and malignant tumors better than the commonly used parameters. The results show that the nonlinear parameters were found to be statistically significant with p-value \u3c0.05. Moreover, one parameter; power-law exponent, was highly statistically significant having p-value \u3c 0.001. Additionally, volumetric strain images reconstructed using the maximum shear strains provided an enhanced tumor\u27s boundary from the surrounding soft tissues. This edge enhancement improved the overall segmentation performance, and diminished the boundary leakage effect. 3D segmentation provided an additional reliable means to determine the tumor\u27s size by estimating its volume.;In summary, the proposed elastographic techniques can help predetermine the tumor\u27s type, shape and size that are considered key features helping the physician to decide the sort and extent of the treatment. The methods can also be extended to diagnose other types of tumors, such as prostate and cervical tumors. This research is aimed toward the development of a novel \u27virtual biopsy\u27 method that may reduce the number of unnecessary painful biopsies, and diminish the increasingly risk of cancer

Radiologic evaluation of breast disorders related to tuberculosis amongst women in Durban, KwaZulu-Natal, South Africa.

Doctor of Philosophy in Clinical Medicine, University of KwaZulu-Natal, Durban, 2016.Women in KwaZulu-Natal Province, South Africa, are at high risk of developing breast tuberculosis (BTB) due to the increased incidence of HIV. However, there is a general lack of knowledge regarding the various diseases that can affect the breast. This is compounded by lack of the national breast screening program. As a result, many patients with breast cancer (BCA) and BTB are initially misdiagnosed by clinicians. It was evident from the study that much still has to be done in educating the public and healthcare workers about breast diseases. This project endeavoured to compare the effectiveness of various radiological technologies to identify breast problems. The study consisted of three phases all based at Ethekwini Municipality tertiary referral hospitals. The first phase aimed to determine the prevalence of the BTB using retrospective data over a period of 13 years. The same data further provided information of the clinical and radiological manifestations of BTB. This study concluded that while BTB is not common, it shares the clinical and radiology features with BCA, and is difficult to diagnose with current pathology methods. The second phase was done prospectively by recruiting patients who were newly diagnosed with BTB. The aim was to evaluate the use of modern imaging techniques to further describe the radiology patterns of BTB and to determine the radiological parameters that may be used in disease monitoring. The results provided insight into disease extent, and showed that it is usually more severe than perceived with current diagnostic methods. The third phase was performed using retrospective image analysis of patients who had BCA and BTB by using modern radiology techniques. The purpose was to identify the salient features that can differentiate BTB from the BCA. Several radiology parameters were identified as possible biomarkers for differentiation between the two conditions. The knowledge of their respective features would aid in the timeous diagnosis of both conditions, particularly in cases where the pathology results are inconclusive for various reasons. Overall the study highlights the lack of evidence based information on BTB. Recommendations and conclusions are provided in the last chapter