Detailed Images of Tumor Vasculature

The new technology has been developed jointly by teams headed by Prof Dr Georg Schmitz at the Chair for Medical Engineering at Ruhr-Universität Bochum and by Prof Dr Fabian Kiessling at the Institute for Experimental Molecular Imaging at the University Hospital Aachen. They published their report in the journal Nature Communications from April 18, 2018.

The new technology called "Motion Model Ultrasound Localization Microscopy" is based on contrast medium-enhanced ultrasound images. Microbubbles are administered to patients as contrast agents: gas bubbles no larger than one micrometre that travel through the body in the bloodstream. In ultrasound images, they appear as shapeless white blobs. "Once the centre of each of these blobs has been identified, it's possible to determine the location of individual bubbles," explains Georg Schmitz.

Using algorithms originally developed for radar technology, the research team successfully monitored the motion of individual microbubbles. "We are currently attempting to teach the computer something that our eyes are able to do: namely read movement in a sequence of images in which a dot appears in different locations," says Schmitz. To this end, the researchers gave each bubble a name. Thus, they were able to track their paths through the vascular system and count them in the process.

Subsequently, fine vascular networks can be reconstructed based on the motion of the bubbles. The direction and speed of the blood flow can likewise be recorded. The resolution of the images is greatly enhanced: experts refer to the technique as super-resolution imaging.

"In the publication, we demonstrated that the synthesis of morphological and functional parameters considerably facilitates the differentiation between tumour types," explains Fabian Kiessling. In the course of their project, they tested the technique in three model cases, including in human subjects. In collaboration with Prof Dr Elmar Stickeler from the Clinic for Gynaecology and Obstetrics at the University Hospital Aachen, the researchers successfully identified how tumour vessels responded to chemotherapy in breast cancer patients.

"One reason why this is important is because new therapy approaches aim at manipulating the vascular system of tumours, in order to enhance the therapeutic effect by increasing the concentration of drugs in the tumours," says Fabian Kiessling. One of these approaches is so-called sonoporation. Here, tumours are treated with ultrasound in order to render the vascular walls more permeable to active substances.

"The advantage of our approach is that it can be performed with conventional ultrasound scanners, which have a low frame frequency, with sometimes as few as 15 images per second," points out Georg Schmitz. The research teams have already filed an application for a follow-up project, in the course of which they intend to test the method in large-scale clinical studies.

Tatjana Opacic, Stefanie Dencks, Benjamin Theek, Marion Piepenbrock, Dimitri Ackermann, Anne Rix, Twan Lammers, Elmar Stickeler, Stefan Delorme, Georg Schmitz, Fabian Kiessling.
Motion model ultrasound localization microscopy for preclinical and clinical multiparametric tumor characterization.
Nature Communications, 2018, doi: 10.1038/s41467-018-03973-8.

Most Popular Now

Can Language Models Read the Genome? Thi…

The same class of artificial intelligence that made headlines coding software and passing the bar exam has learned to read a different kind of text - the genetic code. That code...

Bayer and Google Cloud to Accelerate Dev…

Bayer and Google Cloud announced a collaboration on the development of artificial intelligence (AI) solutions to support radiologists and ultimately better serve patients. As part of the collaboration, Bayer will...

North West Anglia Works with Clinisys to…

North West Anglia NHS Foundation Trust has replaced two, legacy laboratory information systems with a single instance of Clinisys WinPath. The trust, which serves a catchment of 800,000 patients in North...

Can AI Techniques Help Clinicians Assess…

Investigators have applied artificial intelligence (AI) techniques to gait analyses and medical records data to provide insights about individuals with leg fractures and aspects of their recovery. The study, published in...

AI Makes Retinal Imaging 100 Times Faste…

Researchers at the National Institutes of Health applied artificial intelligence (AI) to a technique that produces high-resolution images of cells in the eye. They report that with AI, imaging is...

SPARK TSL Acquires Sentean Group

SPARK TSL is acquiring Sentean Group, a Dutch company with a complementary background in hospital entertainment and communication, and bringing its Fusion Bedside platform for clinical and patient apps to...

Standing Up for Health Tech and SMEs: Sh…

AS the new chair of the health and social care council at techUK, Shane Tickell talked to Highland Marketing about his determination to support small and innovative companies, by having...

GPT-4 Matches Radiologists in Detecting …

Large language model GPT-4 matched the performance of radiologists in detecting errors in radiology reports, according to research published in Radiology, a journal of the Radiological Society of North America...

ChatGPT Extracts Data for Ischaemic Stro…

In an ischaemic stroke, an artery in the brain is blocked by blood clots and the brain cells can no longer be supplied with blood as a result. Doctors must...

Experts Propose Specific and Suited Guid…

Current Artificial Intelligence (AI) models for cancer treatment are trained and approved only for specific intended purposes. GMAI models, in contrast, can handle a wide range of medical data including...

A Record Year with More than 800 Exhibit…

9 - 11 April 2024, Berlin, Germany. DMEA 2024 kicks off today, focusing on the key issues in the digital transformation of the healthcare system. From now until 11 April over...

Herefordshire and Worcestershire Health …

Herefordshire and Worcestershire Health and Care NHS Trust has successfully implemented Alcidion's Miya Precision platform to streamline bed management workflow across seven community hospitals in Worcestershire. The trust delivers community...