Medical Imaging

Physicians utilize medical imaging to see inside the body to diagnose and treat patients. This includes computed tomography (CT), magnetic resonance imaging (MRI), X-ray, ultrasound, fluoroscopy, angiography,  and the nuclear imaging modalities of PET and SPECT. 

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Interval breast cancer has its own risk factors, mortality patterns

Women with dense breast tissue are less likely than normal-density peers to develop breast cancer between screening mammography exams.

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Machine learning helps experts identify ADHD biomarkers on MRI scans

Experts have identified numerous white matter features, in addition to changes in white matter tracts that occur over time, which they believe are more common among people with ADHD.

Eli Lilly

Eli Lilly inks deal worth over $1.1B to develop new radiopharmaceuticals

The Indianapolis-based drugmaker can hit the hefty total by reaching certain clinical, regulatory and commercial milestones.

mammography mammogram breast cancer

Age, race and density status influence AI performance on mammogram reads

Although studies have shown AI to be effective as a support tool, several have also highlighted issues related to the potential for bias in algorithms that have not been trained on diverse datasets. 

House Representative Neal Dunn

House committee advances key legislation to strengthen pay for diagnostic imaging agents

The FIND Act is supported by several industry stakeholders including ACR and the Society of Nuclear Medicine & Molecular Imaging. 

time-delayed MRI phases improve brain tumor visualization

Using multiple MRI phases after contrast injection significantly improves visualization of brain tumors

Researchers are proposing making additional phases beyond the 10-minute mark mandatory when analyzing brain metastases.

neck ultrasound thyroid

Radiologist urges peers to perform ultrasounds, build better bonds with patients

Pranjal Rai, MBBS, made his case in a new opinion piece published in the American Journal of Roentgenology.  

AI software improves diagnosis of lung conditions when contrast cannot be used

New software could improve diagnosis of lung conditions for patients who cannot tolerate contrast dye

The machine learning-based software uses a formula called the Integrated Jacobian Formulation to calculate lung volume based on metrics derived from imaging taken during inhalation and exhalation.