Topics

Artificial Intelligence in Mammography-Based Breast Cancer Screening

2019-11-12 18:25:20 | BioPortfolio

Summary

Breast cancer (BC) is the most common cancer among women in worldwide and the second leading cause of cancer-related death.

As the corner stone of BC screening, mammography is recognized as one of useful imaging modalities to reduce BC mortality, by virtue of early detection of BC. However, mammography interpretation is inherently subjective assessment, and prone to overdiagnosis.

In recent years, artificial intelligence (AI)-Computer Aided Diagnosis (CAD) systems, characterized by embedded deep-learning algorithms, have entered into the field of BC screening as an aid for radiologist, with purpose to optimize conventional CAD system with weakness of hand-crafted features extraction. For now, stand-alone performance of novel AI-CAD tools have demonstrated promising accuracy and efficiency in BC diagnosis, largely attributed to utilization of convolution neural network(CNNs), and some of them have already achieved radiologist-like level. On the other hand, radiologists' performance on BC screening has shown to be enhanced, by leveraging AI-CAD system as decision support tool. As increasing implementation of commercial AI-CAD system, robust evaluation of its usefulness and cost-effectiveness in clinical circumstances should be undertaken in scenarios mimicking real life before broad adoption, like other emerging and promising technologies. This requires to validate AI-CAD systems in BC screening on multiple, diverse and representative datasets and also to estimate the interface between reader and system. This proposed study seeks to investigate the breast cancer diagnostic performance of AI-CAD system used for reading mammograms. In this work, we will employ a commercially available AI-CAD tool based on deep-learning algorithms (IBM Watson Imaging AI Solution) to identify and characterize the suspicious breast lesions on mammograms. The potential cancer lesions can be labeled and their mammographic features and malignancy probability will be automatically reported. After AI post-processing, we shall further carry out statistical analysis to determine the accuracy of AI-CAD system for BC risk prediction.

Study Design

Conditions

Breast Cancer

Intervention

mammography

Status

Not yet recruiting

Source

Chinese University of Hong Kong

Results (where available)

View Results

Links

Published on BioPortfolio: 2019-11-12T18:25:20-0500

Clinical Trials [5106 Associated Clinical Trials listed on BioPortfolio]

Positron Emission Mammography and Standard Mammography in Women at High Risk of Breast Cancer

RATIONALE: Screening tests may help doctors find cancer cells early and plan better treatment for breast cancer. It is not yet known whether positron emission mammography is more effective...

Digital Tomosynthesis Mammography and Digital Mammography in Screening Patients for Breast Cancer

This randomized phase III trial studies digital tomosynthesis mammography and digital mammography in screening patients for breast cancer. Screening for breast cancer with tomosynthesis ma...

Study of Dual-energy (DE) Contrast-enhanced (CE) Digital Mammography

This is a feasibility study to evaluate dual-energy (DE) contrast-enhanced (CE) digital mammography to detect breast cancer in patients with increased breast density (BI-RADS category c or...

Computed Tomography Laser Mammography Breast Imaging Device

The purpose of this study is to evaluate the sensitivity and specificity of the CTLM system when used adjunctively with mammography compared to mammography alone in the heterogeneously and...

Earlier Breast Cancer Detection Using Automated Whole Breast Ultrasound With Mammography, Including Cost Comparisons

The purpose of this study is to determine whether addition of automated whole breast ultrasound to the usual screening mammography in a population of asymptomatic women with mammographical...

PubMed Articles [14490 Associated PubMed Articles listed on BioPortfolio]

Breast cancers missed during screening in a tertiary-care hospital mammography facility.

Breast cancer is the most common cancer in females worldwide. Screening with mammography for early breast cancer detection is standard community practice in many countries.

Factors Influencing Surveillance Mammography Adherence Among Breast Cancer Survivors.

Many breast cancer survivors fail to engage in surveillance mammography to detect new and recurrent cancers. This review identifies factors promoting or inhibiting breast cancer survivors' participati...

Two-view digital breast tomosynthesis versus digital mammography in a population-based breast cancer screening programme (To-Be): a randomised, controlled trial.

Digital breast tomosynthesis is an advancement of mammography, and has the potential to overcome limitations of standard digital mammography. This study aimed to compare first-generation digital breas...

Mammographic screening in male patients at high risk for breast cancer: is it worth it?

To investigate the utility of mammography for breast cancer screening in a population of males at increased risk for breast cancer.

Evaluating the HER-2 status of breast cancer using mammography radiomics features.

The aim of our study was to evaluate the HER-2 status in breast cancer patients using mammography (MG) radiomics features.

Medical and Biotech [MESH] Definitions

Measurement of relative composition of different BREAST tissue types often determined from MAMMOGRAPHY; ULTRASONOGRAPHY; or MRI.

Abnormal accumulation of lymph in the arm, shoulder and breast area associated with surgical or radiation breast cancer treatments (e.g., MASTECTOMY).

Metastatic breast cancer characterized by EDEMA and ERYTHEMA of the affected breast due to LYMPHATIC METASTASIS and eventual obstruction of LYMPHATIC VESSELS by the cancer cells.

Radiographic examination of the breast.

A infiltrating (invasive) breast cancer, relatively uncommon, accounting for only 5%-10% of breast tumors in most series. It is often an area of ill-defined thickening in the breast, in contrast to the dominant lump characteristic of ductal carcinoma. It is typically composed of small cells in a linear arrangement with a tendency to grow around ducts and lobules. There is likelihood of axillary nodal involvement with metastasis to meningeal and serosal surfaces. (DeVita Jr et al., Cancer: Principles & Practice of Oncology, 3d ed, p1205)

More From BioPortfolio on "Artificial Intelligence in Mammography-Based Breast Cancer Screening"

Quick Search

Relevant Topics

Cancer Disease
Cancer is not just one disease but many diseases. There are more than 100 different types of cancer. Most cancers are named for the organ or type of cell in which they start - for example, cancer that begins in the colon is called colon cancer; cancer th...

Women's Health
Women's Health - key topics include breast cancer, pregnancy, menopause, stroke Follow and track Women's Health News on BioPortfolio: Women's Health News RSS Women'...


Searches Linking to this Trial