Breast Ultrasound Combined with MRI Distinguishes Between Benign and Cancerous Lesions More Accurately
By MedImaging International staff writers Posted on 10 Nov 2023 |

In breast imaging, nonmass-like lesions, which are areas in the breast with altered echotexture and no definitive shape, pose a diagnostic challenge. A new study has highlighted the potential of combining ultrasound and MRI to improve the differentiation between benign and malignant breast nonmass-like lesions.
The study by researchers at Chinese PLA General Hospital (Beijing, China) revealed that using ultrasound in conjunction with MRI is more effective in differentiating between benign and malignant lesions compared to using either method alone. This combined approach could lead to enhanced diagnostic accuracy. Both ultrasound and MRI have limitations that can result in incorrect identification of lesions, often leading to unnecessary biopsies. The research team explored the effectiveness of MRI in distinguishing between benign and malignant lesions after they were initially identified as nonmass-like by ultrasound. The hypothesis was that using two imaging techniques together might be more effective than one alone.
For the study, the researchers created a training dataset involving 180 patients with 183 nonmass-like lesions, comprising 88 benign and 95 malignant cases. Additionally, a validation dataset included 61 patients with 61 lesions, split between 30 benign and 31 malignant cases. The lesions were examined using MRI, ultrasound, and then a combination of both methods. In both datasets, the combined approach was effective in diagnosing cancer. In the training set, the combined method showed significant statistical improvement over MRI or ultrasound alone in terms of area under the curve (AUC) and specificity values. In the validation set, the combined method was superior to ultrasound alone but not to MRI alone.
The study found that malignant lesions had a significantly higher frequency of calcifications than benign lesions. Lesions with calcifications were found to be 5.6 times more likely to be malignant than those without, aligning with previous research indicating a high association of malignancy with hypo-echoic areas on ultrasound with calcifications. The combined method also identified two false-negative lesions, which were small and lacked typical malignant sonographic features, and correctly reclassified 11 false-positive lesions as benign. Pathology results were confirmed through surgical excision or biopsy.
“The integrated diagnostic strategy of US combined with MRI exhibited good performance for breast NMLs compared with either modality used alone, which can improve the diagnostic specificity while maintaining high sensitivity,” noted the researchers.
Related Links:
Chinese PLA General Hospital
Latest MRI News
- PET/MRI Improves Diagnostic Accuracy for Prostate Cancer Patients
- Next Generation MR-Guided Focused Ultrasound Ushers In Future of Incisionless Neurosurgery
- Two-Part MRI Scan Detects Prostate Cancer More Quickly without Compromising Diagnostic Quality
- World’s Most Powerful MRI Machine Images Living Brain with Unrivaled Clarity
- New Whole-Body Imaging Technology Makes It Possible to View Inflammation on MRI Scan
- Combining Prostate MRI with Blood Test Can Avoid Unnecessary Prostate Biopsies
- New Treatment Combines MRI and Ultrasound to Control Prostate Cancer without Serious Side Effects
- MRI Improves Diagnosis and Treatment of Prostate Cancer
- Combined PET-MRI Scan Improves Treatment for Early Breast Cancer Patients
- 4D MRI Could Improve Clinical Assessment of Heart Blood Flow Abnormalities
- MRI-Guided Focused Ultrasound Therapy Shows Promise in Treating Prostate Cancer
- AI-Based MRI Tool Outperforms Current Brain Tumor Diagnosis Methods
- DW-MRI Lights up Small Ovarian Lesions like Light Bulbs
- Abbreviated Breast MRI Effective for High-Risk Screening without Compromising Diagnostic Accuracy
- New MRI Method Detects Alzheimer’s Earlier in People without Clinical Signs
- MRI Monitoring Reduces Mortality in Women at High Risk of BRCA1 Breast Cancer
Channels
Radiography
view channel
Novel Breast Imaging System Proves As Effective As Mammography
Breast cancer remains the most frequently diagnosed cancer among women. It is projected that one in eight women will be diagnosed with breast cancer during her lifetime, and one in 42 women who turn 50... Read more
AI Assistance Improves Breast-Cancer Screening by Reducing False Positives
Radiologists typically detect one case of cancer for every 200 mammograms reviewed. However, these evaluations often result in false positives, leading to unnecessary patient recalls for additional testing,... Read moreMRI
view channel
PET/MRI Improves Diagnostic Accuracy for Prostate Cancer Patients
The Prostate Imaging Reporting and Data System (PI-RADS) is a five-point scale to assess potential prostate cancer in MR images. PI-RADS category 3 which offers an unclear suggestion of clinically significant... Read more
Next Generation MR-Guided Focused Ultrasound Ushers In Future of Incisionless Neurosurgery
Essential tremor, often called familial, idiopathic, or benign tremor, leads to uncontrollable shaking that significantly affects a person’s life. When traditional medications do not alleviate symptoms,... Read more
Two-Part MRI Scan Detects Prostate Cancer More Quickly without Compromising Diagnostic Quality
Prostate cancer ranks as the most prevalent cancer among men. Over the last decade, the introduction of MRI scans has significantly transformed the diagnosis process, marking the most substantial advancement... Read moreNuclear Medicine
view channel
New SPECT/CT Technique Could Change Imaging Practices and Increase Patient Access
The development of lead-212 (212Pb)-PSMA–based targeted alpha therapy (TAT) is garnering significant interest in treating patients with metastatic castration-resistant prostate cancer. The imaging of 212Pb,... Read more
New Radiotheranostic System Detects and Treats Ovarian Cancer Noninvasively
Ovarian cancer is the most lethal gynecological cancer, with less than a 30% five-year survival rate for those diagnosed in late stages. Despite surgery and platinum-based chemotherapy being the standard... Read more
AI System Automatically and Reliably Detects Cardiac Amyloidosis Using Scintigraphy Imaging
Cardiac amyloidosis, a condition characterized by the buildup of abnormal protein deposits (amyloids) in the heart muscle, severely affects heart function and can lead to heart failure or death without... Read moreGeneral/Advanced Imaging
view channel
New AI Method Captures Uncertainty in Medical Images
In the field of biomedicine, segmentation is the process of annotating pixels from an important structure in medical images, such as organs or cells. Artificial Intelligence (AI) models are utilized to... Read more.jpg)
CT Coronary Angiography Reduces Need for Invasive Tests to Diagnose Coronary Artery Disease
Coronary artery disease (CAD), one of the leading causes of death worldwide, involves the narrowing of coronary arteries due to atherosclerosis, resulting in insufficient blood flow to the heart muscle.... Read more
Novel Blood Test Could Reduce Need for PET Imaging of Patients with Alzheimer’s
Alzheimer's disease (AD), a condition marked by cognitive decline and the presence of beta-amyloid (Aβ) plaques and neurofibrillary tangles in the brain, poses diagnostic challenges. Amyloid positron emission... Read more.jpg)
CT-Based Deep Learning Algorithm Accurately Differentiates Benign From Malignant Vertebral Fractures
The rise in the aging population is expected to result in a corresponding increase in the prevalence of vertebral fractures which can cause back pain or neurologic compromise, leading to impaired function... 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
Bayer and Google Partner on New AI Product for Radiologists
Medical imaging data comprises around 90% of all healthcare data, and it is a highly complex and rich clinical data modality and serves as a vital tool for diagnosing patients. Each year, billions of medical... Read more