The Osteoarthritis Initiative (OAI) was a longitudinal cohort study which investigated the natural history of knee osteoarthritis across the spectrum of the disease through the collection of imaging, biochemical, genetic, and risk markers of knee OA. Measures included knee symptoms and function (evaluated using the West Ontario and McMaster Universities Arthritis Index (WOMAC) and the Knee injury and...

Researchers imaging data along with image-processing algorithms in order to develop a set of candidate image features that can be used to develop a quantitative description of xenografted colorectal chronic tumor hypoxia. These features were used to develop a spatiotemporal logical expression as well as a way to formulate a linear regression function that uses all of the image features to describe...

This dataset was collected for a combined retrospective and prospective cross-sectional study to establish risk factors for infection after treatment for intracerebral hemorrhage and subarachnoid hemorrhage and to determine the impact of those infections on long-term outcomes. Data was harvested from Tisch Hospital records from January 2013 to December 2014 retrospectively and from January 2015 to...

This dataset was compiled as part of an exploratory study to determine the longitudinal changes in multiple sclerosis (MS) lesions over time on ultra-high field MR imaging. Nine patients with MS underwent high-resolution 3D-susceptibility weighted imaging (SWI) and 2D-gradient-echo-T2*-weighted imaging on 7T MRI at baseline and after approximately 2.4 years for follow-up imaging. The data includes...

Neuroanatomical Age Prediction Using R (NAPR) is a framework that provides network-based access to predictive modeling software running on a persistent Amazon Web Services (AWS) computing instance. External users may estimate the age of individual subjects using cortical thickness maps derived from their own locally processed T1-weighted whole brain MRI scans. The model was trained using healthy control...

This deidentified imaging dataset is comprised of raw k-space data in several sub-dataset groups. Raw and DICOM data have been deidentified via conversion to the vendor-neutral ISMRMRD format and the RSNA Clinical Trial Processor, respectively. Manual inspection of each DICOM image was also performed to check for the presence of any unexpected protected health information (PHI), with spot checking...

This dataset includes one hundred knee MRI cases. The one hundred cases comprise five 20-case sets for each of the following sequences: Coronal spin density weighted with fat suppression, Coronal spin density weighted without fat suppression, Azial Ts weighted with fat suppression, Saggittal T2 weighted with fat suppression, Sagittal spin density weighted. The dataset is organized slice by slice,...

The Prostate, Lung, Colorectal, and Ovarian (PLCO) Cancer Screening Trial was a large randomized controlled trial that assessed whether certain screening practices decreased deaths from prostate, lung, colorectal and ovarian cancer. Approximately 155,000 men and women aged 55 to 74 years old were enrolled from 10 screening centers across the United States between November 1993 and July 2001. Participants...

The Benchmark for Automatic Glottis Segmentation (BAGLS) dataset contains 59,250 high-speed laryngeal videoendoscopy frames and individually annotated segmentation masks obtained from anonymized recordings of 640 consenting subjects across multiple hospitals in Europe and the United States. Participating institutions were Boston University; Louisiana State University; New York University; Sint-Augustinus...

This dataset contains information from 115 patients who were hospitalized at NYU Langone Health facilities between March 1, 2020 and May 10, 2020 and met the following inclusion criteria: had a positive SARS-CoV-2 (COVID-19) test, underwent cerebral magnetic resonance imaging (MRI), and were at least 18 years old. These patients were further assessed for leukoencephalopathy and cerebral microbleeds. Data...