Adult Primary Brain Neoplasm, Including 2016 World Health Organization Classification.

In 2016, the World Health Organization (WHO) central nervous system (CNS) classification scheme incorporated molecular parameters in addition to traditional microscopic features for the first time. Molecular markers add a level of objectivity that was previously missing for tumor categories heavily dependent on microscopic observation for pathologic diagnosis. This article provides a brief discussion of the major 2016 updates to the WHO CNS classification scheme and reviews typical MR imaging findings of adult primary CNS neoplasms, including diffuse infiltrating gliomas, ependymal tumors, neuronal/glioneuronal tumors, pineal gland tumors, meningiomas, nerve sheath tumors, solitary fibrous tumors, and lymphoma.

Adult Primary Brain Neoplasm, Including 2016 World Health Organization Classification.

In 2016, the World Health Organization (WHO) central nervous system (CNS) classification scheme incorporated molecular parameters in addition to traditional microscopic features for the first time. Molecular markers add a level of objectivity that was previously missing for tumor categories heavily dependent on microscopic observation for pathologic diagnosis. This article provides a brief discussion of the major 2016 updates to the WHO CNS classification scheme and reviews typical MR imaging findings of adult primary CNS neoplasms, including diffuse infiltrating gliomas, ependymal tumors, neuronal/glioneuronal tumors, pineal gland tumors, meningiomas, nerve sheath tumors, solitary fibrous tumors, and lymphoma.

Radiology Support, Communication, and Alignment Network and Its Role to Promote Health Equity in the Delivery of Radiology Care.

Racial, ethnic, and socioeconomic disparities in radiological care have been well documented in both the emergency and outpatient setting. Health IT has the potential to facilitate equitable care across diverse populations. Ordering the appropriate study is the first step in the greater mission of improving access and equity for everyone. Radiology Support, Communication, and Alignment Network (R-SCAN) is an informatics-based solution using clinical decision support (CDS) to promote health equity through optimization in appropriate imaging utilization. R-SCAN and CDS may help combat the potential implicit bias of clinicians by providing evidence-based imaging guidelines at the point of care and ensure that patients will receive equitable and appropriate imaging regardless of ethnic and socioeconomic background. By fostering multidisciplinary collaboration between radiologists and referring clinicians, R-SCAN initiatives across the nation have demonstrated successful reductions in inappropriate imaging utilization, particularly in regions with vulnerable populations.