Global Breast Imaging Device Market Forecast

A new market report focuses on breast imaging devices, paying special attention to their recent emergence

Image courtesy of Eizo

December 17, 2019 — The "Breast Imaging Device Market Size, Outlook and Growth Opportunities, 2019- 2025" report is now available from ResearchAndMarkets.com.

The report includes the latest predictions of the global breast imaging device market along with geography, therapy area and applications. The report specifically focuses on different types of breast imaging devices with special attention to their emergence over the forecast period to 2025.

The research report provides objective measures to tap into future opportunities that will be available over the next six years. It also highlights key areas to watch over the future along with detailed insights into drivers and challenges across different breast imaging device applications and products. The Breast Imaging Device market report aggregates the current market size based on volume and average price data. It also includes a six-year outlook to 2025 based on anticipated growth rates for each sub-segment and industry as a whole.

Global spending on healthcare continues to increase significantly with the aging population, increased access to treatment and ongoing advancements in technology. This provides strong support for market growth in the medium to long term future. While growth will remain steady in the developed markets, Asian and other emerging markets will be key for breast imaging device market growth from 2019 to 2025.

To address the expanding need for advanced breast imaging device products, the report states that companies are rapidly embracing the new market dynamics, primarily focusing on new launches, specifically to suit local and regional demand patterns. Accordingly, detailed discussion about broader implications of key strategies, product launches and other latest breast imaging device market developments are included in the research work.

Scope of the Breast Imaging Device report

This report covers the 2018 market scenario and outlook of Breast Imaging Device to 2025. Market size is computed using different types, applications of Breast Imaging Device across geographies.

1. Breast Imaging Device market size, US$, 2018-2025

2. Breast Imaging Device market drivers

3. Breast Imaging Device market challenges

4. Breast Imaging Device market opportunities

5. Breast Imaging Device market trends

6. Breast Imaging Device market size forecast by type, 2018-2025

7. Breast Imaging Device market size forecast by application, 2018-2025

8. Breast Imaging Device market size forecast by country, 2018-2025

9. Breast Imaging Device market companies and their strategies

10. Financial and Business Profile of leading vendors

11. Breast Imaging Device market news and deals

For more information: www.researchandmarkets.com/r/vsb00c

Related Content

Early diagnosis of cancer is one of the highest-priority problem for the healthcare system, because it is critical for overall treatment success and saving patients' lives. Diffusion-weighted magnetic resonance imaging (DWI) may be used to detect a malignancy in various tissues and organs. It has the advantage of providing insight into the diffusion of water molecules in body tissues without exposing patients to radiation.

DWI of the phantom with polyvinylpyrrolidone (PVP) solutions (b value 500 s/mm2). Image courtesy of Kristina Sergunova et al.

News | Magnetic Resonance Imaging (MRI) | June 02, 2020

MRI Technique Developed to Improve Detection of Tumors

June 2, 2020 — Early diagnosis of cancer is one of the highest-priority problem for the healthcare system, because it

Developed by medical AI company Lunit, Software detects breast cancer with 97% accuracy; Study in Lancet Digital Health shows that Lunit INSIGHT MMG-aided radiologists showed an increase in sensitivity

Lunit INSIGHT MMG

News | Artificial Intelligence | June 02, 2020

Lunit INSIGHT MMG for Breast Cancer Detection Now CE Certified

June 2, 2020 — Lunit announced that its artificia...

AI has the potential to help radiologists improve the efficiency and effectiveness of breast cancer imaging

Getty Images

Feature | Breast Imaging | May 28, 2020 | By January Lopez, M.D.

The Exciting Future of AI and Mammography - and Physicians

Headlines around the world the past several months declared that...

a Schematic of the system. The entire solid tumour is illuminated from four sides by a four-arm fibre bundle. A cylindrically focused linear array is designed to detect optoacoustic signals from the tumour. In vivo imaging is performed in conical scanning geometry by controlling the rotation and translation stages. The sensing part of the transducer array and the tumour are submerged in water to provide acoustic coupling. b Maximum intensity projections of the optoacoustic reconstruction of a phantom of pol

a Schematic of the system. The entire solid tumour is illuminated from four sides by a four-arm fibre bundle. A cylindrically focused linear array is designed to detect optoacoustic signals from the tumour. In vivo imaging is performed in conical scanning geometry by controlling the rotation and translation stages. The sensing part of the transducer array and the tumour are submerged in water to provide acoustic coupling. b Maximum intensity projections of the optoacoustic reconstruction of a phantom of polyethylene microspheres (diameter, 20 μm) dispersed in agar. The inset shows a zoomed-in view of the region boxed with a yellow dashed line. In addition, the yellow boxes are signal profiles along the x, y and z axes across the microsphere centre, as well as the corresponding full width at half-maximum values. c Normalized absorption spectra of Hb, HbO2 and gold nanoparticles (AuNPs). The spectrum for the AuNPs was obtained using a USB4000 spectrometer (Ocean Optics, Dunedin, FL, USA), while the spectra for Hb and HbO2 were taken from http://omlc.org/spectra/haemoglobin/index.html. The vertical dashed lines indicate the five wavelengths used to stimulate the three absorbers: 710, 750, 780, 810 and 850 nm. Optoacoustic signals were filtered into a low-frequency band (red) and high-frequency band (green), which were used to reconstruct separate images.

News | Breast Imaging | May 26, 2020

High-resolution 3-D View Inside Breast Tumors

May 26, 2020 — Breast cancer is the most common cancer in women.

A new technique developed by researchers at UC Davis offers a significant advance in using magnetic resonance imaging to pick out even very small tumors from normal tissue. The team created a probe that generates two magnetic resonance signals that suppress each other until they reach the target, at which point they both increase contrast between the tumor and surrounding tissue

A new technique developed by researchers at UC Davis offers a significant advance in using magnetic resonance imaging to pick out even very small tumors from normal tissue. The team created a probe that generates two magnetic resonance signals that suppress each other until they reach the target, at which point they both increase contrast between the tumor and surrounding tissue. Image courtesy of Xiandoing Xue, UC Davis

News | Magnetic Resonance Imaging (MRI) | May 26, 2020

New Double-contrast Technique Picks Up Small Tumors on MRI

May 26, 2020 — Researchers at the University of California, Davis offers a...

Researchers from Tokyo Metropolitan University have surveyed the amount of gadolinium found in river water in Tokyo. Gadolinium is contained in contrast agents given to patients undergoing medical magnetic resonance imaging (MRI) scans, and it has been shown in labs to become toxic when exposed to ultraviolet rays. The researchers found significantly elevated levels, particularly near water treatment plants, highlighting the need for new public policy and removal technologies as MRI become even more commonp

Samples were taken along rivers around Tokyo. Measurements of rare earth element quantities indicate a clearly elevated amount of gadolinium compared to that in natural shale. Graphics courtesy of Tokyo Metropolitan University

News | Magnetic Resonance Imaging (MRI) | May 26, 2020

MRI's Environmental Impact

May 26, 2020 — Researchers from Tokyo Metropolitan...

Phone call and linkage-to-care-based intervention increases mammography uptake among primary care patients at an urban safety-net hospital

Getty Images

News | Mammography | May 22, 2020

Simple Patient Outreach and Scheduling Assistance Significantly Boosts Mammography Uptake at Urban Safety-Net Hospital

May 22, 2020 — Telephone outreach coupled with scheduling assistance significantly increased...

Remote reading of imaging studies on home picture archiving and communication systems (PACS) workstations can contribute to social distancing, protect vulnerable radiologists and others in the hospital, and ensure seamless interpretation capabilities in emergency scenarios, according to an open-access article published ahead-of-print by the American Journal of Roentgenology (AJR).

Srini Tridandapani, M.D., Ph.D.

News | PACS | May 21, 2020

Work-from-Home PACS Enables Social Distancing During Pandemic

May 21, 2020 —

The Breast Imaging and Reporting System (BI-RADS) was established by the American College of Radiology to help classify findings on mammography. Findings are classified based on the risk of breast cancer, with a BI-RADS 2 lesion being benign, or not cancerous, and BI-RADS 6 representing a lesion that is biopsy-proven to be malignant.

Getty Images

News | Breast Imaging | May 19, 2020

Six-month Follow-up Appropriate for BI-RADS 3 Findings on Mammography

May 19, 2020 — Women with mammographically detected breast lesions that are probably benign should have follow-up sur

Examples of chest CT images of COVID-19 (+) patients and visualization of features correlated to COVID-19 positivity. For each pair of images, the left image is a CT image showing the segmented lung used as input for the CNN (convolutional neural network algorithm) model trained on CT images only, and the right image shows the heatmap of pixels that the CNN model classified as having SARS-CoV-2 infection (red indicates higher probability). (a) A 51-year-old female with fever and history of exposure to SARS-

Figure 1: Examples of chest CT images of COVID-19 (+) patients and visualization of features correlated to COVID-19 positivity. For each pair of images, the left image is a CT image showing the segmented lung used as input for the CNN (convolutional neural network algorithm) model trained on CT images only, and the right image shows the heatmap of pixels that the CNN model classified as having SARS-CoV-2 infection (red indicates higher probability). (a) A 51-year-old female with fever and history of exposure to SARS-CoV-2. The CNN model identified abnormal features in the right lower lobe (white color), whereas the two radiologists labeled this CT as negative. (b) A 52-year-old female who had a history of exposure to SARS-CoV-2 and presented with fever and productive cough. Bilateral peripheral ground-glass opacities (arrows) were labeled by the radiologists, and the CNN model predicted positivity based on features in matching areas. (c) A 72-year-old female with exposure history to the animal market in Wuhan presented with fever and productive cough. The segmented CT image shows ground-glass opacity in the anterior aspect of the right lung (arrow), whereas the CNN model labeled this CT as negative. (d) A 59-year-old female with cough and exposure history. The segmented CT image shows no evidence of pneumonia, and the CNN model also labeled this CT as negative.

News | Coronavirus (COVID-19) | May 19, 2020

Mount Sinai First in U.S. to Use AI to Analyze Coronavirus Patients

May 19, 2020 — Mount Sinai researchers are the first in the country to use...

Newsletters

Enter your email address and name below to subscribe to any of our free e-newsletters.