News | Breast Density | September 20, 2019

Densitas Wins Major Procurement of Breast Density Software for DIMASOS Breast Screening Trial

Densityai software will be deployed in up to 24 breast cancer screening clinics across Germany

Densitas Wins Major Procurement of Breast Density Software for DIMASOS Breast Screening Trial

September 20, 2019 — Densitas Inc. announced it has won a procurement of its densitas densityai software for deployment in up to 24 breast cancer screening clinics across Germany. These clinics will provide breast density measurements at point of care to identify women for supplemental breast cancer screening as part of the DIMASOS 2 Trial.

Prof. Sylvia H. Heywang-Köbrunner, M.D., head of Referenzzentrum Mammographie München, internationally recognized for her work in contrast-enhanced breast magnetic resonance imaging (MRI) and modern biopsy procedures, is using densitas densityai breast density measures to establish a supplemental ultrasound screening protocol in the DIMASOS 2 trial.

“Women with dense breasts are subject to the masking effect of mammographic density and its association with breast cancer risk. The objective of the DIMASOS 2 trial is to test whether combined mammography/ultrasound exams can improve early cancer detection and if this can feasibly and cost effectively be done in routine screening workflow,” said Heywang-Köbrunner.  “The unique ability of the Densitas software to analyze prior ‘for presentation’ mammograms from a wide range of mammography scanner vendor models is pivotal to this trial and is important for any practical clinical deployment.”

Densitas densityai delivers fully automated, standardized and reproducible breast density assessments from standard DICOM clinical use mammograms. Results from densitas densityai are generated by two distinct algorithms that decouple the breast density assessment into quantitative and qualitative scales in alignment with the American College of Radiology (ACR) Breast Imaging-Reporting and Data System (BI-RADS) 4th and 5th edition density classification systems. These results can be incorporated into breast cancer risk models to provide standardized and reproducible patient-specific risk estimates.

The artificial intelligence (AI)-driven Densitas densityai processes the same clinical use images that radiologists examine, enabling seamless picture archiving and communication system (PACS)-centric integrations and retrospective auditing capabilities of routinely archived exams. 

For more information: www.densitas.health

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,
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
Feature | Breast Density | April 03, 2020 | By Dayna Williams M.D., Shivani Chaudhry, M.D., and Laurie R. Margolies, M.D.
Breast cancer is the most common cance
An example of Philips’ TrueVue technology, which offers photo-realistic rendering and the ability to change the location of the lighting source on 3-D ultrasound images. In this example of two Amplazer transcatheter septal occluder devices in the heart, the operator demonstrating the product was able to push the lighting source behind the devices into the other chamber of the heart. This illuminated a hole that was still present that the occluders did not seal.

An example of Philips’ TrueVue technology, which offers photo-realistic rendering and the ability to change the location of the lighting source on 3-D ultrasound images. In this example of two Amplazer transcatheter septal occluder devices in the heart, the operator demonstrating the product was able to push the lighting source behind the devices into the other chamber of the heart. This illuminated a hole that was still present that the occluders did not seal. Photo by Dave Fornell

Feature | Radiology Imaging | April 02, 2020 | By Katie Caron
A new year — and decade — offers the opportunity to reflect on the advancements and challenges of years gone by and p
#COVID19 #Coronavirus #2019nCoV #Wuhanvirus

Getty Images

Feature | Coronavirus (COVID-19) | April 02, 2020 | Jilan Liu and HIMSS Greater China Team
Information technologies have played a pivotal role in China’s response to the novel coronavirus...