News | Oncology Diagnostics | March 12, 2019

Lucence Diagnostics to Develop AI Tools for Liver Cancer Treatment

Software tools would combine imaging and molecular data from liver cancer patients to help physicians make better treatment decisions

Lucence Diagnostics to Develop AI Tools for Liver Cancer Treatment

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

March 12, 2019 — Genomic medicine company Lucence Diagnostics announced a new project to develop artificial intelligence (AI) algorithms for improving diagnosis and treatment of liver cancer. The goal is to combine the imaging and molecular data from liver cancer patients into smarter software tools that help physicians make better treatment decisions.

Lucence will be working with Olivier Gevaert, Ph.D., assistant professor of medicine (biomedical informatics) and of biomedical data science at the Stanford University School of Medicine. Having developed LiquidHallmark, which it calls the world's first liquid biopsy next-generation sequencing test that analyzes the DNA of cancer-causing mutations and viruses, Lucence will contribute its genomics expertise and proprietary sequencing technology to this project.

Liver cancer is the second leading cause of avoidable cancer deaths globally1, and hepatitis viruses contribute to the bulk of this disease. The incidence rate of liver cancer is also rising faster than any other cancer in both men and women in the United States2. The best chance of cure is surgery, and good characterization of the extent and type of the disease is critical for surgical planning. Imaging tests such as ultrasound, computed tomography (CT) and magnetic resonance imaging (MRI) play a crucial role in the visualization of liver tumors. Fusing imaging data with sequencing data that includes both cancer mutations and viral DNA will create a unique opportunity for AI-based approaches to advance liver cancer care.

This project will evaluate a dataset of more than 5,000 patients to identify image changes and patterns that are linked to diagnostic and treatment outcomes in liver cancer.

For more information: www.lucencedx.com

References

1. Knaul F.M., Arreola-Ornelas H., Rodriguez N.M., et al. Avoidable Mortality: The Core of the Global Cancer Divide. Journal of Global Oncology, Aug. 10, 2018. DOI: 10.1200/JGO.17.00190.

2. Siegel R.L., Miller K.D., Jemal A. Cancer statistics, 2019. CA: A Cancer Journal for Clinicians, Jan. 8, 2019. DOI: 10.3322/caac.21551.

Related Content

Infinitt PACS 7.0 is a faster, more powerful viewer that was built from the ground up to support AI for image analysis and for operational/ workflow improvements in radiology
News | PACS | November 19, 2019
November 19, 2019 — Infinitt North America will be highlighting a next generation,...
News | Artificial Intelligence | November 18, 2019
November 18, 2019 — Visage Imaging, Inc. (Visage), a wholly owned subsidi
The study finds it's possible to use commercial facial recognition software to identify people from brain MRI that includes imagery of the face
News | Magnetic Resonance Imaging (MRI) | November 15, 2019
November 15, 2019 — Though identifying data typically are removed from medical image files before they are shared for
EchoGo uses artificial intelligence (AI) to calculate cardiac ultrasound left ventricular ejection fraction (EF), the most frequently used measurement of heart function, left ventricular volumes (LV) and, for the first time for an AI application, automated cardiac strain.

EchoGo uses artificial intelligence (AI) to calculate cardiac ultrasound left ventricular ejection fraction (EF), the most frequently used measurement of heart function, left ventricular volumes (LV) and, for the first time for an AI application, automated cardiac strain.

News | Cardiovascular Ultrasound | November 14, 2019
November 14, 2019 — Ultromics has received 510(k) clearance from the U.S.
 MaxQ AI
News | Artificial Intelligence | November 13, 2019
November 13, 2019 – MaxQ AI announced a new partnership agreement with...
 Paxera Ultima 360
News | Enterprise Imaging | November 12, 2019
November 12, 2019 — Medical Imaging developer PaxeraHealth will showcase the
 Lunit RSNA
News | Artificial Intelligence | November 12, 2019
November 12, 2019 — Lunit, a leading medical AI software company devoted to provi