Magnetic Resonance Imaging

Magnetic resonance imaging (MRI) is the gold standard imaging modality for soft tissues. It produces detail cross-sectional images of soft tissue and bone anatomy, including muscles, tendons, ligaments, brain and organs, without the use of ionizing radiation. In addition to orthopedic imaging, MRI is also used for heart, brain and breast. MRI uses gadolinium contrast in many exams to highlight tissues and blood vessels, which enhances images and offers better diagnostic quality. It can also be used in conjunction with PET scans. How does MRI work? MR creates images by using powerful magnets to polarize hydrogen atoms in water (the body is made of of more than 80% water) so they face in one direction. A radiofrequency pulse is then used to ping these atoms, causing them to wobble, or resonate. The MRI coils detect this and computers can assemble images from the signals. Basic MRI scans will focus on the resonance of fat and water in two different sequences, which highlight and contrast different features in the anatomy.

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MRI accurately detects and reveals characteristics of serous borderline ovarian tumors

"Accurate diagnosis and classification of SBOT prior to surgery are crucial for preoperative surgical planning and postoperative treatment," researchers underscored in the European Journal of Radiology.

December 21, 2021

MRI should be a standard diagnostic tool for fetuses with known congenital heart disease

The modality can detect certain anomalies difficult to spot using only ultrasound, researchers reported in the Journal of the American College of Cardiology.

December 20, 2021
Philips MRI

MRI detects 67% of lymph node metastases in patients with prostate cancer, research shows

The modality could be a noninvasive alternative to lymphadenectomy for the detection of cancer spread, experts explained in the European Journal of Radiology.

December 17, 2021
Spine

Conventional radiography superior to MRI for certain spinal imaging, new research shows

Still, the best results are achieved when the two modalities are combined, according to a study published in Insights Into Imaging.

December 15, 2021
A survey conducted by the Ann and Robert H. Lurie Children's Hospital of Chicago found more than 75% of parents are generally receptive to the use of artificial intelligence (AI) tools in the management of children with respiratory illnesses in the emergency department (ED). However, some demographic subgroups, including non-Hispanic black and younger age parents, had greater reservations about the use of these technologies. 

Deep learning rivals fellowship-trained radiologists at segmenting breast cancers on MRI

Researchers trained their platforms on more than 60,000 individual breast scans, significantly more than most architectures.

December 15, 2021
Breast MRI imaging

Machine learning uses MRI to predict lymphovascular invasion in breast cancer patients

These algorithms could fill in where postoperative biopsy sometimes falls short, experts explained in Academic Radiology.

December 13, 2021

Advanced MRI technique significantly improves radiologists’ ability to image the pancreas

Rads preferred scans produced via this post-processing method in 96% of cases, experts reported in Clinical Imaging

December 10, 2021

AI-MRI combo predicts dementia with 94% accuracy in patients with memory loss

The findings hold "considerable clinical significance" for patients with memory loss and could help guide early interventions for those who might go on to develop dementia, experts reported this week.

December 9, 2021
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Around the web

Cardiovascular Business
AI improves CT assessments, boosts care for real-world heart patients

Automated AI-generated measurements combined with annotated CT images can improve treatment planning and help referring physicians and patients better understand their disease, explained Sarah Jane Rinehart, MD, director of cardiac imaging with Charleston Area Medical Center.

Cardiovascular Business
AI predicts cardiovascular risk during CT scans—no invasive tests or contrast required

Two advanced algorithms—one for CAC scores and another for segmenting cardiac chamber volumes—outperformed radiologists when assessing low-dose chest CT scans. 

Radiology Business
Google teams with Bayer to address radiologist burnout via AI

"Gen AI can help tackle repetitive tasks and provide insights into massive datasets, saving valuable time," Thomas Kurian, CEO of Google Cloud, said Tuesday. 

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