International Isotopes inks patent deal
Radiopharmaceutical producer International Isotopes this month signed a technology development deal with a Texas university that the company hopes will lead to a nuclear medicine camera with up to four times the resolution of systems on the market.
Radiopharmaceutical producer International Isotopes this month signed a technology development deal with a Texas university that the company hopes will lead to a nuclear medicine camera with up to four times the resolution of systems on the market. International Isotopes of Denton, TX, is combining its nuclear medicine patent portfolio with that of University of Texas Southwestern Medical Center in Dallas to develop the camera, according to Carl Seidel, president and CEO.
The system to be developed could be either a PET or SPECT camera, or a combination of the two technologies, Seidel said. International Isotopes believes that the camera is capable of spatial resolution in the 0.5-mm to 1.3-mm range, which would be a fourfold improvement on conventional gamma cameras.
The camera achieves such high specifications through noise reduction and better detectors, Seidel said. The system's detectors will be based on digital technology, although the company declined to specify whether it will be a solid-state unit. International Isotopes is in discussions with other vendors regarding a manufacturing agreement for the system.
In other International Isotopes news, the company last month raised $10 million through a private stock placement. The funds will be used to complete installation of the cyclotron and linear accelerator that International Isotopes will use to produce radioisotopes.
What is the Best Use of AI in CT Lung Cancer Screening?
April 18th 2025In comparison to radiologist assessment, the use of AI to pre-screen patients with low-dose CT lung cancer screening provided a 12 percent reduction in mean interpretation time with a slight increase in specificity and a slight decrease in the recall rate, according to new research.
The Reading Room: Racial and Ethnic Minorities, Cancer Screenings, and COVID-19
November 3rd 2020In this podcast episode, Dr. Shalom Kalnicki, from Montefiore and Albert Einstein College of Medicine, discusses the disparities minority patients face with cancer screenings and what can be done to increase access during the pandemic.
Can CT-Based AI Radiomics Enhance Prediction of Recurrence-Free Survival for Non-Metastatic ccRCC?
April 14th 2025In comparison to a model based on clinicopathological risk factors, a CT radiomics-based machine learning model offered greater than a 10 percent higher AUC for predicting five-year recurrence-free survival in patients with non-metastatic clear cell renal cell carcinoma (ccRCC).
Could Lymph Node Distribution Patterns on CT Improve Staging for Colon Cancer?
April 11th 2025For patients with microsatellite instability-high colon cancer, distribution-based clinical lymph node staging (dCN) with computed tomography (CT) offered nearly double the accuracy rate of clinical lymph node staging in a recent study.
