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TEXRAD (TEXTURE + RADIOLOGY)

To find out more about TexRAD, our radiomics tool for quantification of texture in medical images, follow the links below.

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SEE TEXRAD LIVE

Request a demo of TexRAD or come see us at our next event.

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QUANTITATIVE IMAGING BIOMARKERS

See the latest TexRAD publications and news, follow the links below.

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WELCOME TO TEXRAD

In the exciting new field of Radiomics, TexRAD uncovers biomarkers in medical images that are typically invisible to the naked eye.

TexRAD’s sophisticated patent-protected algorithm extracts and quantifies texture features in pre-existing medical images. These texture features have been successfully used to demonstrate diagnostic, prognostic and predictive intelligence in scientific research with particular significance in oncology. TexRAD has featured in over 100 academic publications, won numerous awards and is currently used in over 50 prestigious institutions worldwide.

TexRAD was originally invented by medical researchers from the Brighton and Sussex Medical School who aspired to create innovative and cost-effective medical imaging software to revolutionise management of diseases such as cancer. These scientists developed TexRAD in collaboration with radiologists and healthcare IT specialists to ensure confidence and optimal benefits in routine use. Building on the experience and success of TexRAD in research, we have recently launched TexRAD Lung, a software tool for the analysis of lung cancer which is CE marked for clinical use in the EU.

TexRAD Research facilitates the discovery of imaging biomarkers for research into diseases such as cancer. Its intuitive tools help you to rapidly define the region of interest, quantify texture biomarkers at the click of a button, and aid statistical interpretation of results using specialised data-mining tools. With 100+ academic publications, TexRAD Research demonstrates diagnostic, prognostic and predictive intelligence in scientific research.

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TexRAD Lung is the first clinical application of TexRAD, giving a platform for the discovery of imaging biomarkers in lung cancer. TexRAD Lung automatically defines tumours and quantifies texture features using PET/CT scans, bringing us a step closer towards precision medicine in lung cancer. TexRAD Lung is CE marked for clinical use in the EU.

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texrad Product Range

TexRAD Research, explore texture biomarkers for
research into diseases like cancer and more.

TexRAD Lung, explore texture biomarkers in lung cancer.

Products
TexRad Research+ TexRad Lung+

texradTestimonials

"The Radiology department at Tata Medical Center have been using TexRAD for some time now and we believe that TexRAD is a breakthrough software in the field of Radiomics."

Dr Saugata Sen

Consultant Radiologist at Tata Medical Center, India

"TexRAD is easy and fast to use, it has increased our research output hugely and has led to a number of publications in prestigious academic journals."

Dr Gu-mu-yang Zhang, MD

Department of Radiology at Peking Union Medical College Hospital, China

"We are very satisfied with using TexRAD for our scientific research. TexRAD has helped us to produce a huge amount of data, some of which has been published or is under consideration by eminent journals!"

Professor Roberto Maroldi

Head of the Department of Radiology at University of Brescia, Italy

"I am proud to be a user of TexRAD, it is the only commercial system that is effective in performing texture analysis using filters."

Professor Shigeru Kiryu

Department of Radiology at International University of Health and Welfare, Japan

"TexRAD is very easy to use and provides a standardized, reproducible approach for image analysis. The support team and software developers have been extremely helpful and responsive and also helped us with grant proposals."

Dr Amir Borhani

Assistant Professor; Chief of Body CT at University of Pittsburgh School of Medicine, USA

"Data mining is critical in current oncologic research. It is complex and it takes time. TexRAD is a user-friendly platform which makes our data analysis semi-automatic and thus easier and quicker than other manual approaches."

Professor Andrea Laghi

Professor of Radiology at Sapienza University of Rome, Italy

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