3D X-Ray Imaging Technique to Significantly Improve Breast Cancer Detection
By MedImaging International staff writers Posted on 20 Jul 2023 |

In 2020, breast cancer emerged as the most frequently diagnosed cancer globally, with over two million recorded cases. It represented 24.5% of cancer diagnoses in women and 15.5% of cancer-related deaths. In many developed nations, mammography screening programs serve as a key early detection strategy, contributing to reduced mortality rates. However, the complexity of reading mammograms, even for experts, presents a challenge. The low contrast of breast tissue under X-ray and the often unclear representation of the breast's complex interior by two-dimensional imaging complicate the process. Additionally, the mandatory compression of the breast for X-ray examination can cause discomfort or even pain, deterring some women from undergoing screenings. Now, researchers have successfully enhanced mammography, an X-ray imaging technique used for early-stage tumor detection, leading to significantly improved reliability and a less distressing experience for patients.
A research team that included scientists from the Paul Scherrer Institute (PSI, Aargau, Switzerland) has extended conventional computed tomography (CT) to yield significantly higher image resolution while maintaining the same radiation dose. This improvement could facilitate the earlier detection of small calcium deposits or microcalcifications, potential indicators of breast tumors, thus improving the survival prospects for affected women. The experts anticipate the swift clinical implementation of this X-ray phase contrast-based technique. Phase-contrast X-ray imaging improves tumor diagnostics by incorporating additional physical data. This allows for the utilization of an effect image creation, generally overlooked in conventional X-rays, that captures the information contained in signals produced when X-rays refract and scatter upon contact with biological tissue. This is due to electromagnetic waves, including X-rays and visible light, undergoing not only attenuation but also refraction and diffraction when traversing structures of varying densities. This information can be leveraged to enhance image contrast and resolution, enabling easier identification of minuscule objects.
The researchers employed grating interferometry (GI), a technique used to measure physical systems, for developing their method. In this approach, X-rays pass through not only the object under examination but also through three gratings with a line spacing of a few micrometers, making the additional information visible. The team has presented several images illustrating the superior resolution and contrast of GI computed tomography compared to traditional X-rays. The X-rays can originate from a standard source, delivering a radiation dose similar to conventional CT breast scans. Moreover, the new screening approach should increase patient comfort during the procedure. Patients can lie face down on a table with chest-area gaps while the shielded tomograph underneath rotates around the breasts to construct a three-dimensional image. The team aims to initiate clinical trials in collaboration with their clinical partners by the end of 2024, by which time they expect to have a prototype device ready for initial patient examinations.
“The phase-contrast X-rays reveal fine details of the tissue,” said Rahel Kubik-Huch, Director of the Department of Medical Services at Baden Cantonal Hospital (KSB) and Chief Physician for Radiology, who was involved in the research work. “This translational project is meant to explore the potential of this technique for detecting breast cancer in its early stages. We hope that one day our patients will be able to benefit from these advances.”
Related Links:
PSI
Latest Radiography News
- AI-Powered Imaging Technique Shows Promise in Evaluating Patients for PCI
- Higher Chest X-Ray Usage Catches Lung Cancer Earlier and Improves Survival
- AI-Powered Mammograms Predict Cardiovascular Risk
- Generative AI Model Significantly Reduces Chest X-Ray Reading Time
- AI-Powered Mammography Screening Boosts Cancer Detection in Single-Reader Settings
- Photon Counting Detectors Promise Fast Color X-Ray Images
- AI Can Flag Mammograms for Supplemental MRI
- 3D CT Imaging from Single X-Ray Projection Reduces Radiation Exposure
- AI Method Accurately Predicts Breast Cancer Risk by Analyzing Multiple Mammograms
- Printable Organic X-Ray Sensors Could Transform Treatment for Cancer Patients
- Highly Sensitive, Foldable Detector to Make X-Rays Safer
- Novel Breast Cancer Screening Technology Could Offer Superior Alternative to Mammogram
- Artificial Intelligence Accurately Predicts Breast Cancer Years Before Diagnosis
- AI-Powered Chest X-Ray Detects Pulmonary Nodules Three Years Before Lung Cancer Symptoms
- AI Model Identifies Vertebral Compression Fractures in Chest Radiographs
- Advanced 3D Mammography Detects More Breast Cancers
Channels
MRI
view channel
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 more
First-Of-Its-Kind AI-Driven Brain Imaging Platform to Better Guide Stroke Treatment Options
Each year, approximately 800,000 people in the U.S. experience strokes, with marginalized and minoritized groups being disproportionately affected. Strokes vary in terms of size and location within the... Read moreUltrasound
view channel
Smart Ultrasound-Activated Immune Cells Destroy Cancer Cells for Extended Periods
Chimeric antigen receptor (CAR) T-cell therapy has emerged as a highly promising cancer treatment, especially for bloodborne cancers like leukemia. This highly personalized therapy involves extracting... Read more
Tiny Magnetic Robot Takes 3D Scans from Deep Within Body
Colorectal cancer ranks as one of the leading causes of cancer-related mortality worldwide. However, when detected early, it is highly treatable. Now, a new minimally invasive technique could significantly... Read more
High Resolution Ultrasound Speeds Up Prostate Cancer Diagnosis
Each year, approximately one million prostate cancer biopsies are conducted across Europe, with similar numbers in the USA and around 100,000 in Canada. Most of these biopsies are performed using MRI images... Read more
World's First Wireless, Handheld, Whole-Body Ultrasound with Single PZT Transducer Makes Imaging More Accessible
Ultrasound devices play a vital role in the medical field, routinely used to examine the body's internal tissues and structures. While advancements have steadily improved ultrasound image quality and processing... 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
Global AI in Medical Diagnostics Market to Be Driven by Demand for Image Recognition in Radiology
The global artificial intelligence (AI) in medical diagnostics market is expanding with early disease detection being one of its key applications and image recognition becoming a compelling consumer proposition... Read moreIndustry News
view channel
GE HealthCare and NVIDIA Collaboration to Reimagine Diagnostic Imaging
GE HealthCare (Chicago, IL, USA) has entered into a collaboration with NVIDIA (Santa Clara, CA, USA), expanding the existing relationship between the two companies to focus on pioneering innovation in... Read more
Patient-Specific 3D-Printed Phantoms Transform CT Imaging
New research has highlighted how anatomically precise, patient-specific 3D-printed phantoms are proving to be scalable, cost-effective, and efficient tools in the development of new CT scan algorithms... Read more
Siemens and Sectra Collaborate on Enhancing Radiology Workflows
Siemens Healthineers (Forchheim, Germany) and Sectra (Linköping, Sweden) have entered into a collaboration aimed at enhancing radiologists' diagnostic capabilities and, in turn, improving patient care... Read more