• AI
  • Molecular Imaging
  • CT
  • X-Ray
  • Ultrasound
  • MRI
  • Facility Management
  • Mammography

ECR 2021: Top Three Tips for Breast Imaging

Slideshow
Conferences|ECR

Experts at ECR 2021 offer their top three tips for a variety of breast imaging techniques.

When it comes to breast imaging, there are many techniques and strategies available to pinpointing and assessing lesions. In a session during the 2021 European Congress of Radiology annual meeting, a group of international experts offered their top three tips for complex cystic and solid lesions, contrast-enhanced spectral mammography, stereotactic-guided biopsy, ultrasound-guided biopsy, and MRI-guided biopsy.

For additional ECR 2021 coverage, click here.

Take a quick look at the guidance they offered:

For more coverage based on industry expert insights and research, subscribe to the Diagnostic Imaging e-newsletter here.

Recent Videos
Pertinent Insights into the Imaging of Patients with Marfan Syndrome
What New Brain MRI Research Reveals About Cannabis Use and Working Memory Tasks
Current and Emerging Legislative Priorities for Radiology in 2025
Teleradiology and Breast Imaging: Keys to Facilitating Personalized Service, Efficiency and Equity
Radiology Study Finds Increasing Rates of Non-Physician Practitioner Image Interpretation in Office Settings
Addressing the Early Impact of National Breast Density Notification for Mammography Reports
Where the USPSTF Breast Cancer Screening Recommendations Fall Short: An Interview with Stacy Smith-Foley, MD
A Closer Look at MRI-Guided Transurethral Ultrasound Ablation for Intermediate Risk Prostate Cancer
Improving the Quality of Breast MRI Acquisition and Processing
Making the Case for Intravascular Ultrasound Use in Peripheral Vascular Interventions
Related Content
What MRI Research Reveals About Tumor Sphericity in Patients with IDH-Wildtype Glioblastoma

What MRI Research Reveals About Tumor Sphericity in Patients with IDH-Wildtype Glioblastoma

Jeff Hall
February 21st 2025
Article

Low tumor sphericity on preoperative MRI is associated with a significantly higher mortality rate in patients with IDH-wildtype glioblastoma, according to a new study.

The Reading Room Podcast: Emerging Concepts in Breast Cancer Screening and Health Equity Implications, Part 3

The Reading Room Podcast: Emerging Concepts in Breast Cancer Screening and Health Equity Implications, Part 3

Jeff Hall
September 1st 2023
Podcast

In the third episode of a three-part podcast, Anand Narayan, M.D., Ph.D., and Amy Patel, M.D., discuss the challenges of expanded breast cancer screening amid a backdrop of radiologist shortages and ever-increasing volume on radiology worklists.

FDA Clears Updated Ezra Flash AI Software for MRI Scans

FDA Clears Updated Ezra Flash AI Software for MRI Scans

Jeff Hall
February 20th 2025
Article

The updated AI-enabled software reportedly facilitates enhanced MRI imaging of the brain, abdomen, and pelvis.

The Reading Room Podcast: Emerging Concepts in Breast Cancer Screening and Health Equity Implications, Part 2

The Reading Room Podcast: Emerging Concepts in Breast Cancer Screening and Health Equity Implications, Part 2

Jeff Hall
August 23rd 2023
Podcast

In the second episode of a three-part podcast, Anand Narayan, M.D., Ph.D., and Amy Patel, M.D., discuss recent studies published by the Journal of the American Medical Association (JAMA) that suggested moving to more of a risk-adapted model for mammography screening.

Study Reveals Disparities in Use of Follow-Up Diagnostic Services After Abnormal Mammography Findings

Study Reveals Disparities in Use of Follow-Up Diagnostic Services After Abnormal Mammography Findings

Jeff Hall
February 18th 2025
Article

Black, Hispanic, and Asian women were over 25 percent less likely than White women to have same-day follow-up diagnostic service after abnormal findings on screening mammography exams, according to a new study involving over one million patients.

Study: AI Boosts Ultrasound AUC for Predicting Thyroid Malignancy Risk by 34 Percent Over TI-RADS

Study: AI Boosts Ultrasound AUC for Predicting Thyroid Malignancy Risk by 34 Percent Over TI-RADS

Jeff Hall
February 17th 2025
Article

In a study involving assessment of over 1,000 thyroid nodules, researchers found the machine learning model led to substantial increases in sensitivity and specificity for estimating the risk of thyroid malignancy over traditional TI-RADS and guidelines from the American Thyroid Association.

© 2025 MJH Life Sciences

All rights reserved.