Preventing Unnecessary Breast Biopsies Using MRI
By MedImaging International staff writers Posted on 30 Sep 2015 |
The results of a new study have shown that a new Magnetic Resonance (MR) breast imaging technique could prevent unnecessary biopsies.
The new technique, called Diffusion-Weighted Imaging with Background Suppression Magnetic Resonance Mammography (DWIBS-MRM), can be used to assess the diffusion of water molecules within tissue. Diffusion could be restricted by malignant tumors for example. The results of the study were published in the online version of the journal Radiology.
DWIBS-MRM could be used to provide additional information for clinicians about suspicious findings discovered during X-Ray mammography screening. Conventional X-Ray mammography in itself can save lives, but often results in a high false-positive rate that leads to unnecessary biopsies.
DWIBS-MRM uses an abbreviated MR breast imaging protocol, and does not require the use of a contrast agent. The protocol shows the shape, and appearance of the lesion, and its biophysiological properties. A full breast MR protocol takes more than 30 minutes, while DWIBS-MRM images take less than 7 minutes, with a mean reading time of less than 30 seconds.
The study included 50 women with suspicious screening mammograms, and an indication for biopsy. The researchers compared a full diagnostic breast MR protocol, abbreviated contrast-enhanced MRI, and the new DWIBS-MRM technique. A breast carcinoma was found in 24 women.
The DWIBS-MRM technique was found to be as accurate as abbreviated contrast-enhanced and full diagnostic MRI protocols and resulted in a negative predictive value of 92%. However none of the MR techniques were able to detect pure microcalcification-related Ductal Carcinoma In-Situ (DCIS), without solid tumor.
Lead author of the study, Sebastian Bickelhaupt, MD, radiologist, German Cancer Research Center (Heidelberg, Germany), said, “If the preliminary findings are confirmed, this approach could have a high potential to be used as an adjunct in the clarification process of unclear lesions on X-Ray mammography in breast cancer screening. This might help to reduce the number of invasive biopsies and the related anxiety in women who have suspicious findings at mammography.”
Related Links:
Radiological Society of North America (RSNA)
German Cancer Research Center
The new technique, called Diffusion-Weighted Imaging with Background Suppression Magnetic Resonance Mammography (DWIBS-MRM), can be used to assess the diffusion of water molecules within tissue. Diffusion could be restricted by malignant tumors for example. The results of the study were published in the online version of the journal Radiology.
DWIBS-MRM could be used to provide additional information for clinicians about suspicious findings discovered during X-Ray mammography screening. Conventional X-Ray mammography in itself can save lives, but often results in a high false-positive rate that leads to unnecessary biopsies.
DWIBS-MRM uses an abbreviated MR breast imaging protocol, and does not require the use of a contrast agent. The protocol shows the shape, and appearance of the lesion, and its biophysiological properties. A full breast MR protocol takes more than 30 minutes, while DWIBS-MRM images take less than 7 minutes, with a mean reading time of less than 30 seconds.
The study included 50 women with suspicious screening mammograms, and an indication for biopsy. The researchers compared a full diagnostic breast MR protocol, abbreviated contrast-enhanced MRI, and the new DWIBS-MRM technique. A breast carcinoma was found in 24 women.
The DWIBS-MRM technique was found to be as accurate as abbreviated contrast-enhanced and full diagnostic MRI protocols and resulted in a negative predictive value of 92%. However none of the MR techniques were able to detect pure microcalcification-related Ductal Carcinoma In-Situ (DCIS), without solid tumor.
Lead author of the study, Sebastian Bickelhaupt, MD, radiologist, German Cancer Research Center (Heidelberg, Germany), said, “If the preliminary findings are confirmed, this approach could have a high potential to be used as an adjunct in the clarification process of unclear lesions on X-Ray mammography in breast cancer screening. This might help to reduce the number of invasive biopsies and the related anxiety in women who have suspicious findings at mammography.”
Related Links:
Radiological Society of North America (RSNA)
German Cancer Research Center
Latest Radiography News
- AI Improves Early Detection of Interval Breast Cancers
- World's Largest Class Single Crystal Diamond Radiation Detector Opens New Possibilities for Diagnostic Imaging
- 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
Channels
Radiography
view channel
AI Improves Early Detection of Interval Breast Cancers
Interval breast cancers, which occur between routine screenings, are easier to treat when detected earlier. Early detection can reduce the need for aggressive treatments and improve the chances of better outcomes.... Read more
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 moreUltrasound
view channel.jpeg)
AI-Powered Lung Ultrasound Outperforms Human Experts in Tuberculosis Diagnosis
Despite global declines in tuberculosis (TB) rates in previous years, the incidence of TB rose by 4.6% from 2020 to 2023. Early screening and rapid diagnosis are essential elements of the World Health... Read more
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 moreNuclear Medicine
view channel
Novel Radiolabeled Antibody Improves Diagnosis and Treatment of Solid Tumors
Interleukin-13 receptor α-2 (IL13Rα2) is a cell surface receptor commonly found in solid tumors such as glioblastoma, melanoma, and breast cancer. It is minimally expressed in normal tissues, making it... Read more
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 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