Equipping Section Chiefs to Enhance Operational Wellbeing: Implementing Annual Orientation Retreats.

Section Chiefs in academic radiology departments are asked to manage operations across many domains beyond radiology or medicine, to lead and unite diverse faculty groups, and to represent the vision of the Chair and Vice Chairs to section members. In addition to carrying out policies and supporting departmental culture, Section Chiefs represent their section to the department and institution. Yet, in many cases, the path to this role may not include the requisite training or experiences for optimal performance, and Section Chiefs may not be provided with the broad information to carry out these duties.

Initial diagnosis of extranodal NK/T-cell lymphoma in pericardial fluid with concomitant hemophagocytic lymphohistiocytosis (HLH).

Extranasal natural killer/T-cell lymphoma arising in the heart is rare and typically presents with non-specific clinical symptoms, necessitating a biopsy for a definitive diagnosis. We report an unusual case of a 48-year-old male who initially presented with chest pain and shortness of breath. Subsequent diagnosis via pericardial fluid analysis, including flow cytometry and immunohistochemical stains, revealed extranasal NK/T-cell lymphoma without sinonasal involvement.

The Potential of Electrospinning to Enable the Realization of Energy-Autonomous Wearable Sensing Systems.

The market for wearable electronic devices is experiencing significant growth and increasing potential for the future. Researchers worldwide are actively working to improve these devices, particularly in developing wearable electronics with balanced functionality and wearability for commercialization. Electrospinning, a technology that creates nano/microfiber-based membranes with high surface area, porosity, and favorable mechanical properties for human and applications using a broad range of materials, is proving to be a promising approach.

A Radiomic "Warning Sign" of Progression on Brain MRI in Individuals with MS.

Background And Purpose: MS is a chronic progressive, idiopathic, demyelinating disorder whose diagnosis is contingent on the interpretation of MR imaging. New MR imaging lesions are an early biomarker of disease progression. We aimed to evaluate a machine learning model based on radiomics features in predicting progression on MR imaging of the brain in individuals with MS.