Early and accurate detection of cervical lymph nodes is essential for the optimal management and staging of patients with head and neck malignancies. Pilot studies have demonstrated the potential for radiomic and artificial intelligence (AI) approaches in increasing diagnostic accuracy for the detection and classification of lymph nodes, but implementation of many of these approaches in real-world clinical settings would necessitate an automated lymph node segmentation pipeline as a first step. In this study, we aim to develop a non-invasive deep learning (DL) algorithm for detecting and automatically segmenting cervical lymph nodes in 25,119 CT slices from 221 normal neck contrast-enhanced CT scans from patients without head and neck cancer.
View Article and Find Full Text PDFIntroduction: Artificial intelligence (AI) has the potential to transform oncologic care. There have been significant developments in AI applications in medical imaging and increasing interest in multimodal models. These are likely to enable improved oncologic care through more precise diagnosis, increasingly in a more personalized and less invasive manner.
View Article and Find Full Text PDFThere are many impactful applications of artificial intelligence (AI) in the electronic radiology roundtrip and the patient's journey through the healthcare system that go beyond diagnostic applications. These tools have the potential to improve quality and safety, optimize workflow, increase efficiency, and increase patient satisfaction. In this article, we review the role of AI for process improvement and workflow enhancement which includes applications beginning from the time of order entry, scan acquisition, applications supporting the image interpretation task, and applications supporting tasks after image interpretation such as result communication.
View Article and Find Full Text PDFHealth informatics and artificial intelligence (AI) are expected to transform the healthcare enterprise and the future practice of radiology. There is an increasing body of literature on radiomics and deep learning/AI applications in medical imaging. There are also a steadily increasing number of FDA cleared AI applications in radiology.
View Article and Find Full Text PDFImmune effector cell-associated neurotoxicity syndrome (ICANS) secondary to chimeric antigen receptor T-cell therapy is common in adult patients with relapsed/refractory (R/R) B-cell acute lymphoblastic leukemia (ALL), but imaging findings during neurologic toxicity and their meaning have yet to be systematically described in this patient population. Brexucabtagene autoleucel (brexu-cel) is a CD19-directed autologous T-cell immunotherapy for the treatment of adult patients with R/R B-cell ALL that can enter the central nervous system. We present a case of an adult patient with R/R B-cell ALL and prior leptomeningeal disease who developed neurologic toxicity and new findings on magnetic resonance imaging of the brain while receiving brexu-cel.
View Article and Find Full Text PDFThe C3 "Tickover" hypothesis, a mechanism whereby the host maintains constant surveillance of potential invading pathogens, targeting them for elimination through amplified C3b generation and C3-dependent effector mechanisms, was proposed by the late Professor Peter Lachmann in 1973. This unique insight came from a combined understanding of the complement system as it was then defined and the nature of the disease process in rare complement deficiencies and complement-driven diseases. In this review, I give a personal perspective of how understanding of "Tickover" has developed in the subsequent 50 years, culminating in the introduction into the clinic of therapeutic agents designed to combat amplification-driven disease.
View Article and Find Full Text PDFJ Vasc Surg Cases Innov Tech
September 2019
Objective: The present study characterizes patients with the mildest of mild traumatic brain injury (TBI), as defined by a Glasgow coma score (GCS) of 15.
Methods: This is an IRB approved observational cohort study of adult patients who presented to the emergency department of a Level-1 trauma center, with the primary diagnosis of TBI and a GCS score of 15 on arrival. Data collected included demographic variables such as age, gender, race, mechanisms of injury, signs and symptoms including associated vomiting, seizures, loss of consciousness (LOC), alteration of consciousness (AOC), and post-traumatic amnesia (PTA).
The Francis Crick Institute Laboratory, opened in 2016, is supported by the Medical Research Council, Cancer Research UK, the Wellcome Trust, and University College London, King's College London and Imperial College London. The emphasis on research training and early independence of gifted scientists in a multidisciplinary environment provides unique opportunities for UK medical science, including clinical and translational research.
View Article and Find Full Text PDFBackground: Traditionally, neurocognitive testing is performed weeks to months after head injury and is mostly performed on patients who continue to have symptoms or difficulties. In this study, we sought to determine whether these tests, when administered acutely, could assist in predicting short-term outcomes after acute traumatic brain injury (TBI).
Methods: This is an IRB-approved prospective study of adult patients who came to the emergency department of our Level-1 trauma center with TBI.
Introduction: Although there are approximately 1.1 million case presentations of mild traumatic brain injury (mTBI) in the emergency department (ED) each year, little data is available to clinicians to identify patients who are at risk for poor outcomes, including 72-hour ED return after discharge. An understanding of patients at risk for ED return visits during the hyperacute phase following head injury would allow ED providers to develop clinical interventions that reduce its occurrence and improve outcomes.
View Article and Find Full Text PDFThere is no standard treatment algorithm for patients who present to the emergency department (ED) with acute traumatic brain injury (TBI). This is in part because of the heterogeneity of the injury pattern and the patient profile, and the lack of evidence-based guidelines, especially for mild TBI in adults. As TBI is seen more and more frequently in the ED, a standardized assessment would be beneficial in terms of efficiency.
View Article and Find Full Text PDFBackground: The objective of this study was to determine who gets post-concussion syndrome (PCS) after mild traumatic brain injury or head injury.
Methods: Patients presented within an hour of mild traumatic brain injury (mTBI). Written informed consent was obtained from all patients, who then provided detailed answers to surveys at the time of injury as well as at 1 week and 1 month follow-up.
Background: Neuroimaging techniques have been beneficial in identifying patients with salvageable penumbra. We sought to validate the mean transit time (MTT) map on computed tomography perfusion (CTP) imaging utilizing an Aquilion ONE computed tomography (CT) scanner running a singular value decomposition plus algorithm in patients with acute large vessel ischemic stroke who underwent endovascular therapy.
Methods: We conducted a retrospective analysis of consecutive patients presenting to the emergency room who met the following criteria: 1) had a large vessel acute ischemic stroke; 2) had a high-quality whole-brain CTP; 3) treated with endovascular therapy; and 4) received a follow-up MRI with diffusion-weighted imaging (DWI) within 48 h.
Large and giant paraclinoid aneurysms are challenging to treat by either surgical or endovascular means. Visual dysfunction secondary to optic nerve compression and its relationship with aneurysm size, pulsation and thrombosis is poorly understood. We present a patient with a giant paraclinoid aneurysm resulting in bilateral visual loss that worsened following placement of a Pipeline Embolization Device and adjunctive coiling.
View Article and Find Full Text PDFLarge and giant paraclinoid aneurysms are challenging to treat by either surgical or endovascular means. Visual dysfunction secondary to optic nerve compression and its relationship with aneurysm size, pulsation and thrombosis is poorly understood. We present a patient with a giant paraclinoid aneurysm resulting in bilateral visual loss that worsened following placement of a Pipeline Embolization Device and adjunctive coiling.
View Article and Find Full Text PDFObjective. To study the impact of helmet use on outcomes after recreational vehicle accidents. Methods.
View Article and Find Full Text PDFC3 glomerulopathy is a recently introduced pathological entity whose original definition was glomerular pathology characterized by C3 accumulation with absent or scanty immunoglobulin deposition. In August 2012, an invited group of experts (comprising the authors of this document) in renal pathology, nephrology, complement biology, and complement therapeutics met to discuss C3 glomerulopathy in the first C3 Glomerulopathy Meeting. The objectives were to reach a consensus on: the definition of C3 glomerulopathy, appropriate complement investigations that should be performed in these patients, and how complement therapeutics should be explored in the condition.
View Article and Find Full Text PDFInfection is a well-known cause of cerebral vasculopathy and vasculitis. We report a 36-year-old woman with cerebral vasculitis and ischemic stroke secondary to herpes simplex virus (HSV). MRI studies revealed a pontine stroke with basilar artery stenosis and vessel wall gadolinium enhancement.
View Article and Find Full Text PDFObjective: The objective of this study was to compare the variability of computed tomography perfusion (CTP) results in identical data sets of middle cerebral artery (MCA) acute ischemic stroke (AIS) generated by standard singular value decomposition (sSVD) deconvolution and tracer delay-insensitive singular value decomposition (SVD+) algorithm analyses.
Methods: Whole-brain 320-detector-row CTP data sets from 9 unilateral MCA AIS cases and 9 controls were retrospectively analyzed. Computed tomography perfusion values for the combined core/penumbra, contralateral hemispheres and arterial territories were measured and compared with literature values.
Objective: Whole-brain computed tomography perfusion (CTP) data sets generated by tracer delay-insensitive singular value decomposition plus (SVD+) and standard singular value decomposition (sSVD) deconvolution algorithms were evaluated to quantify relatedness and discrepancies in CTP results.
Methods: Twenty females with symmetrical hemispheric CTP maps indicative of brain tissue without apparent abnormalities were studied. Tissue-specific CTP values were analyzed.