News | May 20, 2009

CT Lung Imaging Software Helps Develop Patient Stratification Models

May 20, 2009 – Definiens, an image software company, and Moffitt Cancer Center will utilize Definiens technology in the analysis of lung cancer CT images for the purpose of developing more accurate prognosis and prediction models for response to specific lung cancer therapies.
Image features extracted with Definiens technology will be compared to disease outcomes, as well as gene expression data available through Total Cancer Care, Moffitt’s comprehensive approach to cancer that enables researchers and caregivers to identify and meet all the needs of a patient and their family during the patient’s lifetime and for future generations.
Moffitt is part of an elite group of National Cancer Institute (NCI) Comprehensive Cancer Centers focusing on the development of early stage translational research models. The Center will employ a lung tumor analysis research application developed by Definiens to rapidly and accurately identify, segment and analyze lung tumors from CT and PET/CT fused images. The application will also allow the researchers to measure lung nodule volume, surface-to-volume, attenuation gradient at the edges, shape features, texture and homogeneity measures, as well as tracking tumors’ volumetric changes over time.

“At Moffitt, we are enthusiastic about deploying these cutting-edge tools to support our researchers with their critical work,” said Robert J. Gillies, Ph.D., vice-chair Radiology and director of the Experimental Imaging Program at Moffitt. “We anticipate that the Definiens platform will streamline the analysis of hundreds, if not thousands, of CT and PET images. These numbers are necessary in order to develop more robust patient stratification models.”

Following the release of the pioneering Definiens LymphExpert application for the analysis of lymph nodes, Definiens is developing image analysis applications for a variety of cancer types, addressing lung and liver tumors as next steps. All Definiens medical imaging applications are built upon the company’s proprietary Definiens Cognition Network Technology®, an image analysis technology that examines objects in relation to one another and emulates human cognitive processes to extract intelligence from images.

“We are excited to support Moffitt’s groundbreaking research into cancer therapies and personalized cancer care,” said Frank-P. Klein, Vice President, Medical Imaging at Definiens. “This project provides further confirmation that Definiens’ unique technology can address the most challenging image analysis tasks facing researchers for a variety of cancer types.”

As part of the research engagement, Moffitt scientists will also explore Definiens TissueMap and Definiens Developer for tissue-based image analysis.

For more information: www.moffitt.org and www.definiens.com

Related Content

Podcast | Cardiac Imaging | March 15, 2019
Debate About Coronary Testing Highlights ACC Session
Canon Medical Introduces Entry-Level Aquilion Start CT
News | Computed Tomography (CT) | March 14, 2019
Canon Medical Systems Europe B.V. introduced the all-new Aquilion Start computed tomography (CT) system to the European...
Siemens Healthineers Debuts Cardiovascular Edition of Somatom go.Top CT
News | Computed Tomography (CT) | March 14, 2019
Siemens Healthineers will introduced the Somatom go.Top Cardiovascular Edition, a new version of its established...
CT, Mammograms Offer Clues to Preventing Heart Problems After Cancer Treatment
News | Cardio-oncology | March 13, 2019
An imaging procedure commonly performed before starting cancer treatment can provide valuable clues about a patient's...
Lucence Diagnostics to Develop AI Tools for Liver Cancer Treatment

Pseudocolor accentuated CT scan image of a liver tumor. Image courtesy of Lucence Diagnostics.

News | Oncology Diagnostics | March 12, 2019
Genomic medicine company Lucence Diagnostics announced a new project to develop artificial intelligence (AI) algorithms...
Siemens Healthineers Announces First U.S. Install of Biograph Vision PET/CT
News | PET-CT | March 06, 2019
Siemens Healthineers’ new Biograph Vision positron emission tomography/computed tomography (PET/CT) system has been...
Aidoc Announces CE Mark for AI-based Pulmonary Embolism Workflow Tool
News | Computed Tomography (CT) | March 04, 2019
Artificial intelligence (AI) radiology solution provider Aidoc announced the commercial release of its CE-marked...
Canon Medical Introduces Deep Learning-Based CT Image Reconstruction
News | Computed Tomography (CT) | February 27, 2019
Canon Medical Systems recently introduced AiCE (Advanced intelligent Clear IQ Engine), a deep convolutional neural...
Videos | Cardiac Imaging | February 27, 2019
This is a virtual heart with the same electrophysiology characteristics as the real patient unveiled by Siemens at th
Amazon Comprehend Medical Brings Medical Language Processing to Healthcare
News | Artificial Intelligence | February 15, 2019
Amazon recently announced Amazon Comprehend Medical, a new HIPAA-eligible machine learning service that allows...