Global Breast Imaging Systems Market to Reach USD 1.3 Billion by 2024 Due to COVID-19-Led Patient Backlog
By MedImaging International staff writers Posted on 27 Jan 2022 |

The global breast imaging market is expected to be driven by rising incidences of breast cancer, coupled with the huge backlog of women requiring breast cancer screening appointments due to COVID-19.
Other key growth drivers of the global breast imaging market include greater awareness of the benefits of breast cancer screening programs and the need to improve accuracy of breast cancer detection. This, alongside a patient-centric approach towards screening and technological advancements in order to enhance patient comfort, are improvements being implemented to increase participation of screening programs, which in turn, has driven the uptake of mammography X-ray equipment.
These are the latest findings of Signify Research (Cranfield, UK), a provider of market intelligence and consultancy to the global healthcare technology industry.
As a result of the rise in breast cancer cases globally, there is heightened pressure on governments for conducting screening programs. However, screening programs alone are not sufficient to help bring down breast cancer mortality rates. It is essential to improve the accuracy of breast cancer detection, while also reducing false positives and missed lesions. These factors are expected to primarily drive advancements in breast imaging screening as well as diagnosis.
COVID-19 severely impacted all medical procedures and healthcare facilities since the pandemic was declared globally in March 2020. Breast screening was significantly affected, with a high number of women missing their scheduled mammograms. With a significant number of women missing their screening appointments, there is concern that many more women will develop breast cancer in the advanced stages over the coming years. To help deal with the patient backlog, significant investment will be needed in both medical staff and breast imaging equipment. Given the increased pressure on screening centers and hospitals to address the number of women requiring breast cancer screening, there is heightened interest in how artificial intelligence (AI) can be used to help prioritize scans, by highlighting suspected cases or lesions. Cases that are most urgent can then be taken up on a higher priority within the radiologists’ workflow, accelerating patient care pathways or protocols for further diagnosis.
Mammograms will continue to play a fundamental role in the detection of breast cancer, although the occurrence of false positives often leads to benign lesions being operated on. Given the heightened pressure for breast cancer screening programs to tackle the rising female population qualifying for mammography screening, it is crucial that the number of false positives subsequently does not rise as a result. Advanced techniques in mammography screening such as AI, tomosynthesis guided biopsy, contrast enhanced spectral mammography, as well as a more personalized approach to breast cancer screening are initiatives which could help reduce the number of false negatives or positives and drive more accurate, early detection of breast cancer.
The trend of personalized risk-based screening is expected to gain strength. A number of factors could contribute to the risk of breast cancer such as genetics, family history, polygenic risk scores and high mammographic density. Personalized risk-based screening can also identify high-risk women for more intensive screening such as magnetic resonance imaging (MRI) follow-up after mammography. Alternatively, low-risk women may be more suited to longer intervals between screening, which also reduces the risk of false positives through over-screening. There will also be an increase in the use of multi-modality imaging for breast cancer screening. The shift towards risk-based screening is likely to encourage the use of multi-modality imaging. As women are segregated into groups, identification factors, such as increased breast density, are expected to facilitate supplemental screening that is not commonly practiced today.
Regarding the use of 2D vs. 3D mammography in screening programs, the US is the only country in the world that currently uses 3-D mammography for screening, while all other countries use this technology only for diagnostic purposes. Western European countries are expected to be the next to adopt 3-D mammography screening programs, although this is not likely to happen until the next two to three years. In addition, healthcare providers are considering changing breast cancer screening policies to include younger demographics in order to help reduce breast cancer-related deaths and increase early detection. However, the possibility of over-diagnosis and false positives is still prevalent.
There continues to be a significant discrepancy across the world with regard to screening programs. Countries with large populations, like China and India for example, do not have a formal, structured approach towards screening. There are also large differences in participation even in regions where formal programs exist, such as in Western Europe. In Spain, Denmark and Finland there is around 80% participation, whereas the participation rates in other countries like France, the DACH region (Germany-D, Austria-A, and Switzerland-CH) and Portugal are all significantly below the 50% mark. The European Union is attempting to increase participation and increase the adoption rates to 80% or above.
Related Links:
Signify Research
Latest Industry News News
- GE HealthCare and NVIDIA Collaboration to Reimagine Diagnostic Imaging
- Patient-Specific 3D-Printed Phantoms Transform CT Imaging
- Siemens and Sectra Collaborate on Enhancing Radiology Workflows
- Bracco Diagnostics and ColoWatch Partner to Expand Availability CRC Screening Tests Using Virtual Colonoscopy
- Mindray Partners with TeleRay to Streamline Ultrasound Delivery
- Philips and Medtronic Partner on Stroke Care
- Siemens and Medtronic Enter into Global Partnership for Advancing Spine Care Imaging Technologies
- RSNA 2024 Technical Exhibits to Showcase Latest Advances in Radiology
- Bracco Collaborates with Arrayus on Microbubble-Assisted Focused Ultrasound Therapy for Pancreatic Cancer
- Innovative Collaboration to Enhance Ischemic Stroke Detection and Elevate Standards in Diagnostic Imaging
- RSNA 2024 Registration Opens
- Microsoft collaborates with Leading Academic Medical Systems to Advance AI in Medical Imaging
- GE HealthCare Acquires Intelligent Ultrasound Group’s Clinical Artificial Intelligence Business
- Bayer and Rad AI Collaborate on Expanding Use of Cutting Edge AI Radiology Operational Solutions
- Polish Med-Tech Company BrainScan to Expand Extensively into Foreign Markets
- Hologic Acquires UK-Based Breast Surgical Guidance Company Endomagnetics Ltd.
Channels
Radiography
view channel
World's Largest Class Single Crystal Diamond Radiation Detector Opens New Possibilities for Diagnostic Imaging
Diamonds possess ideal physical properties for radiation detection, such as exceptional thermal and chemical stability along with a quick response time. Made of carbon with an atomic number of six, diamonds... Read more
AI-Powered Imaging Technique Shows Promise in Evaluating Patients for PCI
Percutaneous coronary intervention (PCI), also known as coronary angioplasty, is a minimally invasive procedure where small metal tubes called stents are inserted into partially blocked coronary arteries... Read moreMRI
view channel
AI Tool Tracks Effectiveness of Multiple Sclerosis Treatments Using Brain MRI Scans
Multiple sclerosis (MS) is a condition in which the immune system attacks the brain and spinal cord, leading to impairments in movement, sensation, and cognition. Magnetic Resonance Imaging (MRI) markers... Read more
Ultra-Powerful MRI Scans Enable Life-Changing Surgery in Treatment-Resistant Epileptic Patients
Approximately 360,000 individuals in the UK suffer from focal epilepsy, a condition in which seizures spread from one part of the brain. Around a third of these patients experience persistent seizures... Read more
AI-Powered MRI Technology Improves Parkinson’s Diagnoses
Current research shows that the accuracy of diagnosing Parkinson’s disease typically ranges from 55% to 78% within the first five years of assessment. This is partly due to the similarities shared by Parkinson’s... Read more
Biparametric MRI Combined with AI Enhances Detection of Clinically Significant Prostate Cancer
Artificial intelligence (AI) technologies are transforming the way medical images are analyzed, offering unprecedented capabilities in quantitatively extracting features that go beyond traditional visual... Read moreUltrasound
view channel
AI Identifies Heart Valve Disease from Common Imaging Test
Tricuspid regurgitation is a condition where the heart's tricuspid valve does not close completely during contraction, leading to backward blood flow, which can result in heart failure. A new artificial... Read more
Novel Imaging Method Enables Early Diagnosis and Treatment Monitoring of Type 2 Diabetes
Type 2 diabetes is recognized as an autoimmune inflammatory disease, where chronic inflammation leads to alterations in pancreatic islet microvasculature, a key factor in β-cell dysfunction.... Read moreNuclear Medicine
view channel
Novel PET Imaging Approach Offers Never-Before-Seen View of Neuroinflammation
COX-2, an enzyme that plays a key role in brain inflammation, can be significantly upregulated by inflammatory stimuli and neuroexcitation. Researchers suggest that COX-2 density in the brain could serve... Read more
Novel Radiotracer Identifies Biomarker for Triple-Negative Breast Cancer
Triple-negative breast cancer (TNBC), which represents 15-20% of all breast cancer cases, is one of the most aggressive subtypes, with a five-year survival rate of about 40%. Due to its significant heterogeneity... Read moreGeneral/Advanced Imaging
view channel
AI-Powered Imaging System Improves Lung Cancer Diagnosis
Given the need to detect lung cancer at earlier stages, there is an increasing need for a definitive diagnostic pathway for patients with suspicious pulmonary nodules. However, obtaining tissue samples... Read more
AI Model Significantly Enhances Low-Dose CT Capabilities
Lung cancer remains one of the most challenging diseases, making early diagnosis vital for effective treatment. Fortunately, advancements in artificial intelligence (AI) are revolutionizing lung cancer... Read moreImaging IT
view channel
New Google Cloud Medical Imaging Suite Makes Imaging Healthcare Data More Accessible
Medical imaging is a critical tool used to diagnose patients, and there are billions of medical images scanned globally each year. Imaging data accounts for about 90% of all healthcare data1 and, until... Read more