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This study aims to reduce pain during interventional radiology (IR) procedures, making the experience better for patients. Typically, doctors use medications like fentanyl and midazolam for sedation. This research will focus on patients undergoing biopsies and drainage procedures, often associated with significant discomfort. Patients will be randomly assigned to receive either fentanyl/midazolam or ketamine/midazolam combinations for sedation. A coordinator will collect information on pain levels and satisfaction, as well as monitor any extra medications needed and side effects. The investigators hope to find that ketamine helps decrease pain and improves satisfaction compared to fentanyl, without increasing complications.
This is a research study to evaluate change in Quality of Life, as defined by the European Organization for Research and Treatment of Cancer Quality of Life Questionnaire Core-30 (EORTC C-30), from baseline to 1 month post treatment in two patient cohorts receiving Interventional Radiology Liver Directed Therapies or Hypofractionated Image-Guided Radiation Therapy.
This study aims to test the effectiveness of virtual reality (VR) as a non-pharmaceutical intervention to reduce pain and anxiety in children undergoing painful procedures in Phlebotomy, Radiology, Infusion, Orthopedics, Gastroenterology, and Immunology, amongst others, at CHLA, as measured by self- and proxy-report. Examples of the painful procedures include IV sticks, cast removals, allergy testing, and anorectal manometries.
One method of breast cancer screening involves radiologists reading digital tomosynthesis (DBT) images. DBT consists of a 3D stack of x-ray "slices" through the breast. The exam is accompanied by a 2D image like a standard mammogram, a single x-ray of the breast. In a screening setting, most cases are normal. Sometimes it is obvious that a case is normal from a quick look at the 2D image. It would speed up the process of screening if readers could dismiss a clearly normal case on the basis of the 2D image, alone, without looking at the DBT images. Obviously, the investigators would only want to "triage" cases in this way if the investigators were almost perfectly sure that no cancers would be missed. In this study, the investigators look at radiologist's willingness to triage cases and on the accuracy of their answers. In addition, the investigators ask about the impact of an Artificial Intelligence (AI) opinion. Would it be possible to triage an image on the basis of the AI opinion, alone? Radiologists will look at each case for up to five seconds and offer an opinion (on a 1-10 scale) about how sure they are that a case is normal. Next, they will see the opinion of the AI. Finally, they will say (using a 1-10) scale, how willing they would be for the AI to triage this case without human intervention. This study is the start of an effort to understand the conditions under which radiologists might be willing to declare a case "normal" with little or no human examination.
The purpose of this research study is to evaluate adult children of parents with and without Alzheimer's disease which represent an ideal population for investigating the biological changes that precede the clinical onset of AD. The investigators will be imaging the brain to detect the presence of amyloid deposits (plaques in the brain). Amyloid is a protein that may be related to dementia of Alzheimer's disease (DAT).
This is an observational study comparing a novel ultrasound-based imaging system (MAUI K3900) to standard-of-care (SoC) imaging systems used to guide and/or manage interventional radiologic procedures such as solid organ biopsies or lesion ablations.