- AI
- Molecular Imaging
- CT
- X-Ray
- Ultrasound
- MRI
- Facility Management
- Mammography
6 Steps to Better Imaging for Transgender Patients
Radiologists can play an active role in improving the healthcare experience for transgender patients, most of whom have had a negative imaging encounter.
Across the United States, 1.4 million individuals identify as being transgender. Although that accounts for only 0.6 percent of adults, these individuals frequently need imaging services, particularly if they opt to pursue gender affirmation surgery, referred to as transitioning.
Unfortunately, recently published research revealed that 71 percent of transgender patients have experienced at least one negative encounter with an imaging provider. There is currently a lack of information about data-driven practices that can improve the care these patients receive, so a multi-institutional team, led by Hannah Perry, M.D., a diagnostic radiologist with the University of Vermont Medical Center, published six steps in the Journal of the American College of Radiology to help radiologists provide the best care possible to this group.
Take a quick look at their recommendations:
For more coverage based on industry expert insights and research, subscribe to the Diagnostic Imaging e-newsletter here.
Can Radiomics Bolster Low-Dose CT Prognostic Assessment for High-Risk Lung Adenocarcinoma?
December 16th 2024A CT-based radiomic model offered over 10 percent higher specificity and positive predictive value for high-risk lung adenocarcinoma in comparison to a radiographic model, according to external validation testing in a recent study.
Can AI Facilitate Single-Phase CT Acquisition for COPD Diagnosis and Staging?
December 12th 2024The authors of a new study found that deep learning assessment of single-phase CT scans provides comparable within-one stage accuracies to multiphase CT for detecting and staging chronic obstructive pulmonary disease (COPD).
Study Shows Merits of CTA-Derived Quantitative Flow Ratio in Predicting MACE
December 11th 2024For patients with suspected or known coronary artery disease (CAD) without percutaneous coronary intervention (PCI), researchers found that those with a normal CTA-derived quantitative flow ratio (CT-QFR) had a 22 percent higher MACE-free survival rate.
