New Tool for the Early Detection of Breast Cancer

An EU-funded study has demonstrated a new technique that could be used for the early detection of breast cancer. Scientists from Finland, France and Germany used three-dimensional X-ray analysis to obtain a high-resolution, high-contrast image of the breast that is extremely sensitive to changes in the tissue, such as those that might be caused by a tumour. Their findings mark a significant improvement in the state of the art of X-ray mammography.

Breast cancer, which forms in tissues of the breast (typically the milk ducts and milk-producing glands), is the second most common type of cancer after lung cancer and the fifth most common cause of cancer death. It is widely recognised that the early detection of breast cancer is directly linked to successful treatment of the disease.

Diagnostic mammography and CT (computed tomography) scans are typically used to screen for tumours in the breast. However, the resulting images are often unclear: X-ray mammography fails to identify approximately 10 to 20 percent of palpable breast cancers. The current study found that sharper, higher-contrast images could be attained using high-spatial-resolution, low-dose, analyser-based X-ray CT imaging, also referred to as ABI.

The researchers examined an excised human breast tumour. The tissue they looked at had been invaded by a diffusely growing cancer called a lobular carcinoma, the second most common form of breast cancer. The extension of this kind of cancer is frequently missed by X-ray mammography and ultrasound. They compared ABI scans of the tissue with those from diagnostic mammography, conventional CT and histopathology. ABI provided exceptional clarity, distinguishing more microcalcifications (small deposits of minerals indicating the presence of cancer) than the other radiography methods.

The success of ABI in producing high-contrast images where the tissue is smooth and variations subtle is remarkable. "Calcifications and fine details of soft tissue, which are at the contrast detection limit on diagnostic mammograms, are clearly visible on planar analyser-based X-ray images," explains Jani Keyriläinen of Turku University Central Hospital in Finland and the main author of the paper. "If we compare the images with X-ray mammograms and conventional CT images, we can confirm that this technique performs extremely well."

The visualisation was achieved using a dose of radiation similar to that used in a normal mammography examination, and the spatial resolution of the images was estimated by the researchers to be seven times better than that achieved by a conventional CT scanner.

The improved visibility offered by ABI has implications for the early diagnosis of breast cancer. However, further investigations are needed to make this valuable diagnostic method available for clinical applications.

Dr Alberto Bravin of the European Synchrotron Radiation Facility said, "The technique does not require sophisticated and expensive synchrotron radiation facilities... [However,] it would not be viable to use X-ray tubes, as exposure times would be too long and this would be incompatible with clinical practice."

The research team hopes that the development of compact, highly intense X-ray sources will enable the clinical use of ABI. Dr Bravin commented, "With these machines it would definitely be possible to apply this technique to clinical practice and, in this way, contribute actively to a more efficient detection of breast cancer."

EU support for the study came from the PHASY (Phase analyzer system for novel imaging modalities) project, which was financed under the "Improving human research potential and the socio-economic knowledge base" Horizontal Programme of the Fifth Framework Programme (FP5).

For further information, please visit:

Copyright ©European Communities, 2008
Neither the Office for Official Publications of the European Communities, nor any person acting on its behalf, is responsible for the use, which might be made of the attached information. The attached information is drawn from the Community R&D Information Service (CORDIS). The CORDIS services are carried on the CORDIS Host in Luxembourg - http://cordis.europa.eu. Access to CORDIS is currently available free-of-charge.

Most Popular Now

Unlocking the 10 Year Health Plan

The government's plan for the NHS is a huge document. Jane Stephenson, chief executive of SPARK TSL, argues the key to unlocking its digital ambitions is to consider what it...

Alcidion Grows Top Talent in the UK, wit…

Alcidion has today announced the addition of three new appointments to their UK-based team, with one internal promotion and two external recruits. Dr Paul Deffley has been announced as the...

AI can Find Cancer Pathologists Miss

Men assessed as healthy after a pathologist analyses their tissue sample may still have an early form of prostate cancer. Using AI, researchers at Uppsala University have been able to...

AI, Full Automation could Expand Artific…

Automated insulin delivery (AID) systems such as the UVA Health-developed artificial pancreas could help more type 1 diabetes patients if the devices become fully automated, according to a new review...

How AI could Speed the Development of RN…

Using artificial intelligence (AI), MIT researchers have come up with a new way to design nanoparticles that can more efficiently deliver RNA vaccines and other types of RNA therapies. After training...

MIT Researchers Use Generative AI to Des…

With help from artificial intelligence, MIT researchers have designed novel antibiotics that can combat two hard-to-treat infections: drug-resistant Neisseria gonorrhoeae and multi-drug-resistant Staphylococcus aureus (MRSA). Using generative AI algorithms, the research...

AI Hybrid Strategy Improves Mammogram In…

A hybrid reading strategy for screening mammography, developed by Dutch researchers and deployed retrospectively to more than 40,000 exams, reduced radiologist workload by 38% without changing recall or cancer detection...

Penn Developed AI Tools and Datasets Hel…

Doctors treating kidney disease have long depended on trial-and-error to find the best therapies for individual patients. Now, new artificial intelligence (AI) tools developed by researchers in the Perelman School...

New Training Year Starts at Siemens Heal…

In September, 197 school graduates will start their vocational training or dual studies in Germany at Siemens Healthineers. 117 apprentices and 80 dual students will begin their careers at Siemens...

Are You Eligible for a Clinical Trial? C…

A new study in the academic journal Machine Learning: Health discovers that ChatGPT can accelerate patient screening for clinical trials, showing promise in reducing delays and improving trial success rates. Researchers...

New AI Tool Addresses Accuracy and Fairn…

A team of researchers at the Icahn School of Medicine at Mount Sinai has developed a new method to identify and reduce biases in datasets used to train machine-learning algorithms...

Global Study Reveals How Patients View M…

How physicians feel about artificial intelligence (AI) in medicine has been studied many times. But what do patients think? A team led by researchers at the Technical University of Munich...