While the mass COVID-19 vaccination effort over the past four months is bringing closer the light at the end of the pandemic tunnel, as with all things in medicine, it is not without a cost.
Oncology Diagnostics
News and new technology innovations for oncology diagnostics can be found on this channel.
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In a keynote lecture at the Society of Breast Imaging (SBI)/American College of Radiology (ACR) 2019 Symposium, Diana Miglioretti, Ph.D., dean’s professor of biostatistics at...
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ITN Associate Editor Jeff Zagoudis speaks with Vinai Gondi, M.D., director of research and CNS neuro-oncology at the Northwestern...
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Gregory Videtic, M.D., staff physician in radiation oncology at the Cleveland Clinic, and...
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Julius Chapiro, M.D., research faculty member and an interventional radiology resident at Yale University, describes how...
A 37-year-old woman developed a new, palpable left supraclavicular lymphadenopathy lump five days after her first dose of the Moderna COVID-19 vaccine in the left arm. On the day of vaccination, the patient was asymptomatic. This is an example of how the vaccine can mimic cancer and swollen lymph nodes. Read more about this case study. Image used with permission of RSNA.
Feature | Coronavirus (COVID-19) | April 09, 2021 | By Dave Fornell, Editor
While the mass COVID-19 vaccination effort over the past four months is bringing closer the light at the end of the...
News | Oncology Diagnostics | November 18, 2019
November 18, 2019 — A study by the Centre for Advanced Research in Imaging, Neuroscience and Genomics (CARING) found...
News | Artificial Intelligence | October 24, 2019
October 24, 2019 — Artificial intelligence (AI) software developer Enlitic Inc. announced it has signed a strategic...
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One of several 3-D printed models at Stratasys booth during RSNA 2018.
Blog | RSNA | November 27, 2018
For medical practice to advance, efforts to make this practice more efficient must not come at the expense of accuracy...
Image courtesy of NVIDIA
News | Artificial Intelligence | October 23, 2019
October 23, 2019 — To help advance medical research while preserving data privacy and improving patient outcomes for...
News | Mammography | October 21, 2019
October 21, 2019 — GE Healthcare and Premier Inc. have announced a collaboration to develop a model to bring a same-day...
News | Oncology Diagnostics | October 16, 2019
October 16, 2019 — The Radiological Society of North America (RSNA) published the first issue of its new online journal...
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Staging F18FDG PET/CT images of adenocarcinoma in the RUL (right upper lobe) of the lung illustrates the value of Vereos. The primary lesion in the right upper lobe appears in the upper row (PET image is left, CT image is right). A 3 mm synchronous primary or metastatic lesion in the RUL is apparent in the lower row. The precision afforded by Vereos' images provided the basis for the patient to undergo RUL lobectomy instead of thermal ablation of the primary lesion. (Images courtesy of Dr. Jay Kikut and UVMC)
Blog | PET-CT | October 25, 2018
Efficiency and effectiveness are inseparable in clinical medicine. Digital PET addresses them both. The key is the...
News | Breast Imaging | September 27, 2019
September 27, 2019 — Researchers at the University of Arizona Health Sciences are seeking a new and more accurate way...
Numerical simulation with a heterogeneous mouse. (a) The geometry of the mouse with major organs near the source, and (b) the surface fluence computed with TIM-OS. Image courtesy of Rensselaer Polytechnic Institute.
News | Oncology Diagnostics | September 20, 2019
September 20, 2019 — If researchers could observe drug delivery and its effect on cancer cells in real time, they would...
News | Mammography | September 18, 2019
September 18, 2019 — Selective mammography screening can provide potentially lifesaving early detection of breast...
News | Computer-Aided Detection Software | September 09, 2019
September 9, 2019 — iCAD Inc. announced MedTech Breakthrough, an independent organization that recognizes the top...
News | Neuro Imaging | September 09, 2019
September 9, 2019 — Imaging Biometrics LLC (IB), in collaboration with the Medical College of Wisconsin (MCW), has...
Workflow of radiomics analysis for IHC indicators. Yellow lines denote area of analysis; red lines denote ROI for radiomic features extraction. X = original image, L = low-pass filter, H = high-pass filter. Image courtesy of Jiabing Gu, et al.
News | Artificial Intelligence | September 03, 2019
September 3, 2019 — Researchers have validated a first-of-its-kind machine learning–based model to evaluate...
News | Women's Health | August 26, 2019
August 26, 2019 — The U.S. Food and Drug Administration (FDA) released a new draft guidance that encourages including...
News | Prostate Cancer | August 20, 2019
August 20, 2019 — According to the American Cancer Society, approximately one in nine men will be diagnosed with...
Image courtesy of Imago Systems
News | Mammography | August 14, 2019
August 14, 2019 — Image visualization company Imago Systems announced it has signed a know-how license with Mayo Clinic...
News | Artificial Intelligence | August 13, 2019
August 13, 2019 — University of California Los Angeles (UCLA) researchers have developed an artificial intelligence (AI...
News | Colonoscopy Systems | August 06, 2019
August 6, 2019 — A new study finds that trends in colonoscopy rates did not fully align with the increase in colorectal...
News | Breast Imaging | August 02, 2019
August 2, 2019 — Volpara Solutions and ScreenPoint Medical BV signed an agreement under which Volpara will sell...
IBM collected a dataset of 52,936 images from 13,234 women who underwent at least one mammogram between 2013 and 2017, and who had health records for at least one year prior to the mammogram. The algorithm was trained on 9,611 mammograms. Image courtesy of Radiology.
Feature | Artificial Intelligence | July 19, 2019 | Michal Chorev
July 19, 2019 — Breast cancer is the global leading cause of cancer-related deaths in women, and the most commonly...
Qlarity Imaging’s software is used to assist radiologists in the assessment and characterization of breast lesions. Imaging features are synthesized by an artificial intelligence algorithm into a single value, the QI score, which is analyzed relative to a database of reference abnormalities with known ground truth. Image courtesy of Business Wire.
Technology | Artificial Intelligence | July 18, 2019
July 18, 2019 — Paragon Biosciences LLC announced the launch of its seventh portfolio company, Qlarity Imaging LLC,...
