Top Five Radiology Content for June 2024

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Slideshow

Catch up on the most-well viewed radiology content in June 2024.

Touching on a variety of topics in radiology, ranging from MRI safety and pre-op MRI detecting additional breast cancer to AI-enhanced prostate contouring, here are the top five most well-viewed content from Diagnostic Imaging for June 2024.

Recent Videos
What New Research Reveals About Computed Tomography and Radiation-Induced Cancer Risk
New Mammography Studies Assess Image-Based AI Risk Models and Breast Arterial Calcification Detection
Can Deep Learning Provide a CT-Less Alternative for Attenuation Compensation with SPECT MPI?
Employing AI in Detecting Subdural Hematomas on Head CTs: An Interview with Jeremy Heit, MD, PhD
Pertinent Insights into the Imaging of Patients with Marfan Syndrome
What New Brain MRI Research Reveals About Cannabis Use and Working Memory Tasks
How Will the New FDA Guidance Affect AI Software in Radiology?: An Interview with Nina Kottler, MD, Part 2
How Will the New FDA Guidance Affect AI Software in Radiology?: An Interview with Nina Kottler, MD, Part 1
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
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Nine Takeaways from New Research on CT Scans and Radiation-Induced Cancers

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Recently published research projected that 103,000 future cases of radiation-induced cancer would result from 93 million computed tomography (CT) exams performed in the United States in 2023.

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
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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.

Meta-Analysis Shows Merits of AI with CTA Detection of Coronary Artery Stenosis and Calcified Plaque

Meta-Analysis Shows Merits of AI with CTA Detection of Coronary Artery Stenosis and Calcified Plaque

Jeff Hall
April 16th 2025
Article

Artificial intelligence demonstrated higher AUC, sensitivity, and specificity than radiologists for detecting coronary artery stenosis > 50 percent on computed tomography angiography (CTA), according to a new 17-study meta-analysis.

MindMoments: Consensus MRI Guidelines for Multiple Sclerosis

MindMoments: Consensus MRI Guidelines for Multiple Sclerosis

Matt Hoffman
July 3rd 2021
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An interview with two experts to discuss newly released guidance for using standardized MRI protocols for patients with this condition.

Breast MRI Quantification of Intra-Tumoral Heterogeneity May Help Predict Response to Neoadjuvant Chemotherapy

Breast MRI Quantification of Intra-Tumoral Heterogeneity May Help Predict Response to Neoadjuvant Chemotherapy

Jeff Hall
April 16th 2025
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An emerging nomogram model for intra-tumoral heterogeneity quantification with breast MRI demonstrated an average 85 percent sensitivity in external validation testing for predicting pathologic complete response to neoadjuvant chemotherapy for breast cancer.

New bpMRI Study Suggests AI Offers Comparable Results to Radiologists for PCa Detection

New bpMRI Study Suggests AI Offers Comparable Results to Radiologists for PCa Detection

Jeff Hall
April 15th 2025
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Demonstrating no significant difference with radiologist detection of clinically significant prostate cancer (csPCa), a biparametric MRI-based AI model provided an 88.4 percent sensitivity rate in a recent study.

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