News | Radiology Imaging | November 13, 2018

Researchers Awarded 2018 Canon Medical Systems USA/RSNA Research Grants

Awards to five individuals will fund major research in the radiologic sciences

Researchers Awarded 2018 Canon Medical Systems USA/RSNA Research Grants

November 13, 2018 — The Radiological Society of North America (RSNA) Research & Education (R&E) Foundation recently announced the five recipients of its joint research grants with Canon Medical Systems USA for 2018. The 2018 Canon Medical Systems USA/RSNA Research Seed Grants were awarded to Pedram Heidari, M.D., Prashant Nagpal, M.D., and Adam Singer, M.D. The 2018 Canon Medical Systems USA Research Medical Student Grants went to Brandon Kenneth-Kouso Fields, BA, BM, and Anthony D. Yao, BS. These grants are made possible by Canon Medical Systems USA’s support of the RSNA R&E Foundation.

The Canon Medical Systems USA/RSNA Research Seed Grant provides $40,000 for a one-year project to test hypotheses and obtain pilot data in preparation for major grant applications:

  • Pedram Heidari, M.D., Massachusetts General Hospital, will investigate a novel positron emission tomography (PET) probe for imaging of disease activity in inflammatory bowel disease (IBD) in mouse models. This PET probe is specific for granzyme B which is an important marker of T cell activation involved in pathogenies of IBD. Clinical translation of this imaging method, if successful, could potentially improve management and treatment of IBD;
  • Prashant Nagpal, M.D., University of Iowa, with scientific advisor Mathews Jacob, Ph.D., will investigate whether 3-D self-navigated free-breathing cardiac magnetic resonance (CMR) sequences using manifold reconstruction algorithms compare well with the standard of care breath-held CMR sequences for patients with chronic obstructive pulmonary disease (COPD). If successful, this free-breathing CMR technique will allow high-quality comprehensive imaging in patients that cannot hold their breath; and
  • Adam Singer, M.D., Emory University, will compare the performance of a novel sonographic scoring and reporting system to MRI for soft tissue sarcoma resection bed surveillance. If sonographic diagnostic accuracy is non-inferior to MRI, it could provide a more cost effective surveillance alternative particularly when MRI is contraindicated or degraded by artifacts.

The Canon Medical Systems USA/RSNA Research Medical Student Grant provides a $3,000 stipend, matched by the department for a total of $6,000 to pursue a research project in the radiologic sciences:

  • Brandon Kenneth-Kouso “K.K.” Fields, BA, BM, University of Southern California, with scientific advisor George R. Matcuk Jr., M.D., will investigate the role of quantitative whole tumor volume MRI as a novel biomarker in evaluating response to neoadjuvant chemotherapy and radiation therapy in soft-tissue sarcomas. The principles developed with this project may lend new insight into early observable changes seen in this heterogeneous class of tumors to more accurately guide clinical management; and
  • Anthony D. Yao, B.S., Rhode Island Hospital, with scientific advisor Ryan A. McTaggart, M.D., will investigate whether artificial intelligence can assist in the imaging of emergent large vessel occlusions (ELVOs) on computed tomography (CT) angiograms. If successful, neural networks may be implemented to aid radiologists in decreasing diagnostic time and improving patient outcomes.

The RSNA R&E Foundation Board of Trustees approved funding for $4 million in radiology research and education grants this year, achieving a funding rate of 35 percent of grant applicants. “The R&E Foundation is grateful for Canon Medical Systems USA’s support of the 2018 grant recipients. This longstanding partnership and commitment is a vital component in ensuring research innovation and seeding the future of radiology,” said N. Reed Dunnick, M.D., chair of the R&E Foundation Board of Trustees.

For more information: www.rsna.org/foundation, www.us.medical.canon

Related Content

The interior of the German air force Airbus A-310 Medivac in Cologne, Germany, before its departure to Bergamo, Italy, March 28 to being ferrying COVID-19 patients to Germany for treatment to aid the Italians, whose healthcare system has been overwhelmed by the rapid spread of the coronavirus pandemic. Bundeswehr Photo by Kevin Schrief.

The interior of the German air force Airbus A-310 Medivac in Cologne, Germany, before its departure to Bergamo, Italy, March 28 to being ferrying COVID-19 patients to Germany for treatment to aid the Italians, whose healthcare system has been overwhelmed by the rapid spread of the coronavirus pandemic. Bundeswehr Photo by Kevin Schrief. Find more images from the COVID-19 pandemic.

 

Feature | Coronavirus (COVID-19) | April 08, 2020 | By Melinda Taschetta-Millane and Dave Fornell
In an effort to keep the imaging field updated on the latest information being released on coronavirus (COVID-19), th
#COVID19 #Coronavirus #2019nCoV #Wuhanvirus #SARScov2  The first of three clinical scenarios presented to the panel with final recommendations. Mild features refer to absence of significant pulmonary dysfunction or damage. Pre-test probability is based upon background prevalence of disease and may be further modified by individual’s exposure risk. The absence of resource constraints corresponds to sufficient availability of personnel, personal protective equipment, COVID-19 testing, hospital beds, and/or ve

 The first of three clinical scenarios presented to the panel with final recommendations. Mild features refer to absence of significant pulmonary dysfunction or damage. Pre-test probability is based upon background prevalence of disease and may be further modified by individual’s exposure risk. The absence of resource constraints corresponds to sufficient availability of personnel, personal protective equipment, COVID-19 testing, hospital beds, and/or ventilators with the need to rapidly triage patients. Contextual detail and considerations for imaging with CXR (chest radiography) versus CT (computed tomography) are presented in the text. (Pos=positive, Neg=negative, Mod=moderate). [Although not covered by this scenario and not shown in the figure, in the presence of significant resources constraints, there is no role for imaging of patients with mild features of COVID-19.] Image courtesy of the journal Radiology

News | Coronavirus (COVID-19) | April 07, 2020
April 7, 2020 — A multinational consens...
#COVID19 #Coronavirus #2019nCoV #Wuhanvirus #SARScov2 Chest CT findings of pediatric patients with COVID-19 on transaxial images. (a) Male, 2 months old, 2 days after symptom onset. Patchy ground-glass opacities GGO in the right lower lobe

Chest CT findings of pediatric patients with COVID-19 on transaxial images. Male, 2 months old, 2 days after symptom onset. Patchy ground-glass opacities GGO in the right lower lobe. Image courtesy of Radiology: Cardiothoracic Imaging

News | Coronavirus (COVID-19) | April 06, 2020
April 6, 2020 — Children and teenagers with COVID-19...
A recent study earlier this year in the journal Nature, which included researchers from Google Health London, demonstrated that artificial intelligence (AI) technology outperformed radiologists in diagnosing breast cancer on mammograms
Feature | Breast Imaging | April 06, 2020 | By Samir Parikh
A recent study earlier this year in the journal Nature,
#COVID19 #Coronavirus #2019nCoV #Wuhanvirus #SARScov2 Sonogram taken under rib cage shows liver (grey) with curved diaphragm-lung border (white). Arrows point to vertical B lines (white) demonstrating diseased lung tissue. The more B lines the worse the disease. Healing is measured by reduction in the number of B lines.

Sonogram taken under rib cage shows liver (grey) with curved diaphragm-lung border (white). Arrows point to vertical B lines (white) demonstrating diseased lung tissue. The more B lines the worse the disease. Healing is measured by reduction in the number of B lines.

News | Coronavirus (COVID-19) | April 06, 2020
April 6, 2020 — Robert L.
#COVID19 #Coronavirus #2019nCoV #Wuhanvirus #SARScov2 U.S. Surgeon General Jerome Adams, M.D., M.Ph demonstrates how the general public can make their own face masks for non-clinical use.

U.S. Surgeon General Jerome Adams, M.D., M.Ph. demonstrates how the general public can make their own face masks for non-clinical use.

News | Coronavirus (COVID-19) | April 04, 2020 | By Melinda Taschetta-Millane
April 4, 2020 — The Centers for Disease Control and Prevention (CDC)
Varian received FDA clearance for its Ethos therapy in February 2020. It is an adaptive intelligence solution that uses onboard AI in the treatment system to take the cone beam CT imaging on the system, compare it to the treatment plan and deliver an entire adaptive treatment plan in a typical 15-minute treatment time slot, from patient setup through treatment delivery.

Varian received FDA clearance for its Ethos therapy in February 2020, shown here displayed for the first time at ASTRO 2019. It is an adaptive intelligence solution that uses onboard AI in the treatment system to take the cone beam CT imaging on the system, compare it to the treatment plan and deliver an entire adaptive treatment plan in a typical 15-minute treatment time slot, from patient setup through treatment delivery.

Feature | Treatment Planning | April 03, 2020 | Dave Fornell, Editor
The traditional treatment planning process takes days to create an optimized radiation therapy delivery plan, but new