Daniela Zimmermann speaks to Samir Parikh, Hologic’s Global Vice-President (Research & Development and Clinical Affairs), about the company’s approach to raising post-Covid awareness of breast screening. The impact of Covid-19 has been devastating; countless lives lost, millions of infections worldwide, health systems overwhelmed and economies rapidly shrinking. In addition, routine…
A new deep learning system to help radiologists improve their workflow efficiency when reading high volumes of screening mammograms is being developed at Johns Hopkins University’s Radiology Artificial Intelligence Lab (RAIL) in Baltimore, MD. DeepCAT (Deep Computer-Aided Triage) is focused on workflow prioritization. “Improvement in the radiologists workflow may be just as important as…
Digital breast tomosynthesis (DBT) increases detection of breast cancer in symptomatic women under the age of 60, especially in dense breasts. A large, multi-institutional study conducted in the United Kingdom comparing the sensitivity of full-field digital mammography (FFDM), DBT, and FFDM plus DBT supports findings of two similar published studies, both conducted in China in the same time frame.
Anyone needing a tomography gets the clearest possible images of an organ or other body structure slice by slice. But the further inside the potential problem lies, the more difficult it is to obtain high-resolution images in magnetic resonance imaging (MRI). An international team of scientists led by the University of Duisburg-Essen (UDE) has developed a high-frequency coil that allows for much…
A new type of quantum holography which uses entangled photons to overcome the limitations of conventional holographic approaches could lead to improved medical imaging and speed the advance of quantum information science. A team of physicists from the University of Glasgow are the first in the world to find a way to use quantum-entangled photons to encode information in a hologram. The process…
In order to detect the Corona virus SARS-CoV-2, there are further methods of diagnosis apart from the globally used PCR tests (Polymerase chain reaction): The infection can also be recognised on CT scans – for which Artificial Intelligence (AI) can be used as well. An AI system can not only filter CT scan of Covid-19 patients from a data set, but also estimate, which areas of the image are of…
Hybrid PET/CT imaging can fully play to its strengths and steer treatment towards more effective procedures for diagnosing prostate cancer. The examination of the specific antigen PSMA with hybrid PET imaging enables treatment monitoring with significantly higher diagnostic accuracy than conventional imaging and therefore, Professor Clemens Cyran believes, will soon become the standard diagnostic…
The Belgian initiative icovid, which supports radiologists in the assessment of CT images of the lungs of COVID-19 patients, has grown into a multicentre European project, co-funded by the EU Horizon 2020 programme. Icovid was set up in March by UZ Brussel, KU Leuven, icometrix and ETRO, an imec research group of VUB.
Artificial intelligence (AI) image reconstruction dramatically reduces magnetic resonance imaging (MRI) scan time, according to new research. The first clinical study comparing AI-accelerated knee MRI scans with conventional scans shows that the AI scans are not only diagnostically interchangeable with conventional ones, but also produce higher quality images. Results of this interchangeability…
MRI is the most sensitive method to detect breast cancer. However, the current breast cancer guidelines for Europe, Germany and Austria, still only recommend it for certain indications: For early detection in high risk patients, for differentiation between scarring and recurrences after breast-conserving treatment and to detect cancers of unknown primary site. This is the theory. However, in…
Researchers at the Center for Computational Imaging and Personalized Diagnostics (CCIPD) at Case Western Reserve University have preliminarily validated an artificial intelligence (AI) tool to predict how likely the disease is to recur following surgical treatment for prostate cancer. The tool, called RadClip, uses AI algorithms to examine a variety of data, from MRI scans to molecular…
A new advanced computing technique using routine medical scans to enable doctors to take fewer, more accurate tumour biopsies, has been developed by cancer researchers at the University of Cambridge. This is an important step towards precision tissue sampling for cancer patients to help select the best treatment. In future the technique could even replace clinical biopsies with ‘virtual…
Improving the detection of cancerous cells during surgery – this is the goal of the European research project CARMEN. The research institutes Laser Zentrum Hannover e.V. (LZH) from Germany and Multitel asbl from Belgium work together with companies from both countries, JenLab GmbH, Deltatec, and LaserSpec, to develop a novel, compact and multimodal imaging system. This could even allow the…
The Corona pandemic poses new challenges for health care facilities as well as manufacturers of health IT and medical technology. Marcel Herrmann, Marketing Manager Medical Imaging at JVCKenwood, explains in an interview what these are and how they can be solved.
Clinicians will be able to take a low radiation, digital X-ray image - without the need for an anti-scatter grid - thanks to new innovative ‘scattering suppression software’. Developed by photonics scientists at the Warsaw University of Technology (WUT), working in collaboration with innovation incubator ACTPHAST 4.0 and medical imaging company Italray SRL, the new algorithm ‘auto…
Researchers at the Francis Crick Institute and the University of Western Australia have developed a new imaging method to see where antibiotics have reached bacteria within tissues. The method could be used to help develop more effective antibiotic treatments, reducing the risk of antibiotic resistance.
This July, Fujifilm Sonosite launched Sonosite PX, its newest ultrasound system, in the midst of the Covid-19 pandemic. Diku Mandavia, M.D., Chief Medical Officer of Fujifilm Sonosite, sat down with sonographer and Sonosite’s Director of Marketing Development Jodi Miller to discuss how Sonosite’s newest ultrasound system can help frontline health care workers combat the pandemic and why…
AI can help tackle inequities and bias in healthcare but it also brings partiality issues of its own, experts explained in a Hot Topic session entitled "Artificial Intelligence and Implications for Health Equity: Will AI Improve Equity or Increase Disparities?" at RSNA. Two leading researchers showcased how deep learning may help bring back all the patients into screening mammography…
Displaying medical images from different modalities such as CT, CR/DR, MR, ultrasound or mammography and pathology on one monitor - that is what most radiologists want. Many of them still use several medical displays next to each other. JVCKenwood's new CL-S1200 30.9-inch colour monitor makes this a thing of the past. The 12 megapixel device (4,200 horizontal and 2,800 vertical) can display…
Imagers need special scenarios, skills and tools to examine larger patients, who present more challenges when it comes to radiological procedures. New ultrasound devices could help reduce dose exposure in these patients, who are more likely to undergo x-ray based examinations and receive a higher dose during those, experts explained in a dedicated session during ECR 2020.
The sudden spread of COVID-19 in early 2020 has considerably exacerbated the issue as it forced the closure of “non-essential” radiology activities while dramatically increasing the number of patients requiring a scan.
Men die about five years earlier than women across the world. As initiatives to boost awareness of men’s health unfolded in November, an international project is bringing the forefront of AI research to tackle prostate cancer (PC), the second most frequent type of cancer in men and the third most lethal in Europe.
A panel of experts from the USA and China highlighted AI use in radiological workflow during the Covid pandemic and identified current pitfalls during the Hot Topic session at RSNA 2020. Radiologists from the USA prioritised Covid articles, delivered quick reviews, made all results open access, and helped organise a white paper from the Fleischner Society recognising recommendations for the role…
Covid-19 causes characteristic changes in lung tissue visible in CT scans and chest radiographs. The “ground-glass” opacities are sharply delineated areas, bilateral and mainly located in the basal and peripheral lung sections. In the course of the infection, the opacities become increasingly consolidated. In the first wave of the Covid-19 pandemic, when PCR tests (RT-PCR) were scarce and had…
To target ionised radiation as precisely as possible, imaging a tumour is vital in radiotherapy planning. ‘Today, imaging is used increasingly during the therapy itself,’ explained Professor Mark Ladd during the 51st annual meetingof the German Society for Medical Physics (DGMP).
