51,384 results match your criteria: "Ultrasonography in Breast Cancer"
Can Assoc Radiol J
December 2024
Department of Radiology, Faculty of Medicine, University of British Columbia, Vancouver, BC, Canada.
Breast Imaging-Reporting and Data System (BI-RADS) density scores have been included in screening mammography reports in BC since 2018. Despite these density scores being present in screening mammography reports for numerous years, there remains insufficient evidence to guide supplemental testing for patients with dense breasts. The primary objective of this study was to evaluate how primary care providers in Canada utilize BI-RADS density scores reported on normal screening mammograms of average risk, asymptomatic patients in their clinical practice.
View Article and Find Full Text PDFEur Radiol
December 2024
Canisius Wilhelmina Hospital, Weg door Jonkerbos 100, 6532 SZ, Nijmegen, The Netherlands.
Objectives: Quality control in breast cancer screening programmes has been subject of several studies. However, less is known about the clinical diagnostic work-up in recalled women with a suspicious finding at screening mammography. The current study focuses on interhospital differences in diagnostic work-up strategies.
View Article and Find Full Text PDFSpec Care Dentist
December 2024
Department of Stomatology, School of Dentistry, University of São Paulo, São Paulo, Brazil.
Introduction: Cases involving invasive cervical root resorption (ICRR) in oncological patients are rare, in addition, follow-up of these patients has not yet been reported in the literature.
Objective: This study aims to present a literature review and report a case of denosumab as a possible cause of ICRR in a patient with breast cancer with 2 years of follow-up.
Case Report: A 39-year-old female with a history of luminal breast cancer was treated with denosumab semiannually for osteopenia with discontinuation 1 year ago.
Med Ultrason
December 2024
Department of Ultrasound, Peking University Shenzhen Hospital, Shenzhen, Guangdong, China.
Med Ultrason
December 2024
Department of Ultrasound, Hebei General Hospital, Shijiazhuang, Hebei, China.
JCO Clin Cancer Inform
December 2024
Department of Radiation Oncology, BC Cancer, Vancouver, BC, Canada.
Purpose: Breast cancer relapses are rarely collected by cancer registries because of logistical and financial constraints. Hence, we investigated natural language processing (NLP), enhanced with state-of-the-art deep learning transformer tools and large language models, to automate relapse identification in the text of computed tomography (CT) reports.
Methods: We analyzed follow-up CT reports from patients diagnosed with breast cancer between January 1, 2005, and December 31, 2014.
Sci Adv
December 2024
The Jackson Laboratory for Genomic Medicine, Farmington, CT, USA.
Deep learning algorithms can extract meaningful diagnostic features from biomedical images, promising improved patient care in digital pathology. Vision Transformer (ViT) models capture long-range spatial relationships and offer robust prediction power and better interpretability for image classification tasks than convolutional neural network models. However, limited annotated biomedical imaging datasets can cause ViT models to overfit, leading to false predictions due to random noise.
View Article and Find Full Text PDFJ Med Imaging (Bellingham)
January 2025
Siemens Healthineers AG, Forchheim, Germany.
Purpose: Digital breast tomosynthesis (DBT) has been introduced more than a decade ago. Studies have shown higher breast cancer detection rates and lower recall rates, and it has become an established imaging method in diagnostic settings. However, full-field digital mammography (FFDM) remains the most common imaging modality for screening in many countries, as it delivers high-resolution planar images of the breast.
View Article and Find Full Text PDFBMC Womens Health
December 2024
Department of Pathology, China-Japan Friendship Hospital, No. 2, Yinghuayuan East Street, Chaoyang District, Beijing, 100029, China.
Background: According to previous studies, tall cell carcinoma with reversed polarity can be easily distinguished from ductal carcinoma in situ based on the absence of myoepithelium and a typical histologic feature. However, to the best of our knowledge, no cases of papillary ductal carcinoma exhibiting tall cell and reversed polarity features with intact myoepithelium have been reported, and thus its diagnosis and prognosis remain unclear.
Case Presentation: A 54-year-old female with a palpable lump in her right breast for 3 years.
Quant Imaging Med Surg
December 2024
Department of Radiology, The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University/Hunan Cancer Hospital, Changsha, China.
Background: The identification of the molecular subtypes of breast cancer is critical to determining appropriate treatment strategies and assessing prognosis. This study aimed to evaluate the ability of dual-layer spectral detector computed tomography (DLCT) metrics to differentiate luminal from nonluminal invasive breast cancer.
Methods: A total of 220 patients with invasive breast cancer who underwent routine DLCT examination were included in the study.
Quant Imaging Med Surg
December 2024
Department of Radiology, Shenzhen People's Hospital, Shenzhen, China.
Background: The classification of Breast Imaging Reporting and Data System (BI-RADS) category 4A lesions in mammography is complicated by subjective interpretations and unclear criteria, which can lead to potential misclassifications and unnecessary biopsies. Thus, more accurate assessment methods need to be developed. This study aimed to improve the classification prediction of BI-RADS 4A positive lesions in mammography by combining deep learning (DL) technology with relevant clinical factors.
View Article and Find Full Text PDFQuant Imaging Med Surg
December 2024
Department of Ultrasound, Shenzhen People's Hospital (The Second Clinical Medical College, Jinan University), Shenzhen, China.
Background: Preoperative ultrasound-guided core needle biopsy (CNB) is currently the standard procedure for managing breast illnesses. However, the differences in outcomes between CNB and surgical excision (SE) have not been thoroughly assessed. This study aimed to explore the disparities in pathological outcomes between these two procedures, using a large sample dataset.
View Article and Find Full Text PDFQuant Imaging Med Surg
December 2024
Department of Radiology, The Second Hospital of Shandong University, Jinan, China.
Background: Preoperative prediction of human epidermal growth factor receptor 2 (HER2)-low expression using magnetic resonance imaging (MRI) can enhance the selection of clinical treatment strategies and enhance patient outcomes. Herein, we investigated the value of a neural network model constructed with multiparametric MRI in diagnosing HER2-low breast cancer.
Methods: This retrospective study involved two different centers.
Indian J Radiol Imaging
January 2025
Department of Radiodiagnosis and Interventional Radiology, All India Institute of Medical Sciences, New Delhi, India.
Synthesized mammography (SM) refers to two-dimensional (2D) images derived from the digital breast tomosynthesis (DBT) data. It can reduce the radiation dose and scan duration when compared with conventional full-field digital mammography (FFDM) plus tomosynthesis. To compare the diagnostic performance of 2D FFDM with synthetic mammograms obtained from DBT in a diagnostic population.
View Article and Find Full Text PDFMath Biosci Eng
October 2024
Department of Mechanical and Mechatronics Engineering, University of Waterloo, 200 University Avenue West, Waterloo, ON N2L 3G1, Canada.
This study presented a novel approach for the precise ablation of breast tumors using focused ultrasound (FUS), leveraging a physics-informed neural network (PINN) integrated with a realistic breast model. FUS has shown significant promise in treating breast tumors by effectively targeting and ablating cancerous tissue. This technique employs concentrated ultrasonic waves to generate intense heat, effectively destroying cancerous tissue.
View Article and Find Full Text PDFJ Nanobiotechnology
December 2024
Ultrasound Medical Center, Gansu Province Clinical Research Center for Ultrasonography, Gansu Province Medical Engineering Research Center for Intelligence Ultrasound, Lanzhou University Second Hospital, Lanzhou, 730030, P.R. China.
Background: The progression of triple-negative breast cancer is shaped by both tumor cells and the surrounding tumor microenvironment (TME). Within the TME, tumor-associated macrophages (TAMs) represent a significant cell population and have emerged as a primary target for cancer therapy. As antigen-presenting cells within the innate immune system, macrophages are pivotal in tumor immunotherapy through their phagocytic functions.
View Article and Find Full Text PDFBMC Med Imaging
December 2024
Department of Electrical Engineering and Computer Science, Texas A&M University-Kingsville, Kingsville, 78363, Texas, USA.
Background: Mammography for the diagnosis of early breast cancer (BC) relies heavily on the identification of breast masses. However, in the early stages, it might be challenging to ascertain whether a breast mass is benign or malignant. Consequently, many deep learning (DL)-based computer-aided diagnosis (CAD) approaches for BC classification have been developed.
View Article and Find Full Text PDFCancer Imaging
December 2024
Department of Nuclear Medicine, Peking University First Hospital, No.8, Xishiku Street, West District, Beijing, 100034, China.
Background: Recent advancements in novel anti-human epidermal growth factor receptor 2 (HER2) antibody-drug conjugates (ADCs) have highlighted the emerging HER2-low breast cancer subtype with promising therapeutic efficacy. This study aimed to comparatively analyze the metabolic characteristics and prognostic stratification of HER2-low and HER2-zero breast cancer using baseline fluorine-18 fluorodeoxyglucose (F-FDG) positron emission tomography/computed tomography (PET/CT) imaging.
Methods: Consecutive patients with newly diagnosed breast cancer who underwent F-FDG PET/CT prior to therapy in our hospital were retrospectively reviewed.
Cancer Cell Int
December 2024
Department of Radiology, The Third Affiliated Hospital of Kunming Medical University, Yunnan Cancer Hospital/Center, No. 519 Kunzhou Road, Xishan District, Kunming, Yunnan, 650118, P.R. China.
Objective: This study aimed to compare the performance of amide proton transfer-weighted imaging (APTWI) and diffusion kurtosis imaging (DKI) in differentiating benign from malignant breast lesions, evaluate molecular subtypes of breast cancer, and determine the diagnostic efficacy of the quantitative magnetic resonance imaging (qMRI) parameters in differentiating benign from malignant breast diseases.
Methods: The study included 168 women who underwent breast APTWI and DKI at Yunnan Cancer Hospital between December 2022 and July 2023. The APT signal intensity (SI), apparent kurtosis coefficient (Kapp), non-Gaussian diffusion coefficient (Dapp), and apparent diffusion coefficient (ADC) values were measured before surgery.
Br J Cancer
December 2024
Royal Victoria Infirmary, Newcastle upon Tyne Hospitals NHS Foundation Trust, Newcastle upon Tyne, UK.
Background: Mammography has poor sensitivity in dense breast tissue. Retrospective studies suggest that Molecular Breast Imaging (MBI), has superior diagnostic accuracy to mammography in women with very dense breast tissue. Women's perspectives of MBI are unknown, but are crucial to understanding the feasibility of, and routes to, adoption into practice.
View Article and Find Full Text PDFUltrasound Med Biol
December 2024
Department of Electrical Engineering, Convergence IT Engineering, Mechanical Engineering, Medical Device Innovation Center, and Graduate School of Artificial Intelligence, and Medical Device Innovation Center, Pohang University of Science and Technology, Pohang, Republic of Korea; Opticho Inc., Pohang, Republic of Korea. Electronic address:
Objective: Breast cancer is one of the most commonly occurring cancers in women. Thus, early detection and treatment of cancer lead to a better outcome for the patient. Ultrasound (US) imaging plays a crucial role in the early detection of breast cancer, providing a cost-effective, convenient, and safe diagnostic approach.
View Article and Find Full Text PDFDiscov Oncol
December 2024
Department of Community and Family Medicine, All India Institute of Medical Sciences (AIIMS), Jharkhand, Deoghar, India.
Objective: Recently, the integration of Artificial Intelligence (AI) has significantly enhanced the diagnostic accuracy in breast cancer screening. This study aims to deliver an extensive review of the advancements in AI for breast cancer diagnosis and prognosis through a bibliometric analysis.
Methodology: Therefore, this study gathered pertinent peer-reviewed research articles from the Scopus database, spanning the years 2000 to 2024.
Breast Cancer Res Treat
December 2024
Breast Radiology Department, Fondazione IRCCS Istituto Nazionale Dei Tumori Di Milano, Via Giacomo Venezian 1, 20133, Milan, Italy.
Background: Magnetic resonance imaging (MRI)-guided vacuum-assisted breast biopsy (VABB) is an increasingly requested procedure, but it implies training and experience both in its execution and in determining radiological-pathological concordance and is therefore performed in dedicated breast centers. The purpose of this study is to evaluate the diagnostic performance of MRI-guided vacuum-assisted biopsy and to determine the upgrade rate after surgery or follow-up.
Methods: We retrospectively evaluated all consecutive patients with suspicious MRI findings without corresponding mammographic and ultrasonographic findings who underwent MRI-guided vacuum-assisted breast biopsy (VABB) at our Institution from November 2020 to March 2023.
Int J Surg Pathol
December 2024
Breast Department, KK Women's and Children's Hospital, Singapore.
Fibromatosis-like metaplastic carcinoma (FLMC) is a rare subtype of metaplastic carcinoma of the breast. Diagnosing this entity poses significant challenges, particularly in core biopsies due to limited sampling and overlap with benign spindle cell lesions such as nodular fasciitis and fibromatosis. We present an example of FLMC in an asymptomatic middle-aged woman.
View Article and Find Full Text PDFCancer Med
December 2024
Laboratorio di Biostatistica e Bioinformatica, I.R.C.C.S. Istituto Tumori "Giovanni Paolo II", Bari, Italy.
Background: Morphological and vascular characteristics of breast cancer can change during neoadjuvant chemotherapy (NAC). Dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI)-acquired pre- and mid-treatment quantitatively capture information about tumor heterogeneity as potential earlier indicators of pathological complete response (pCR) to NAC in breast cancer.
Aims: This study aimed to develop an ensemble deep learning-based model, exploiting a Vision Transformer (ViT) architecture, which merges features automatically extracted from five segmented slices of both pre- and mid-treatment exams containing the maximum tumor area, to predict and monitor pCR to NAC.