An image illustrating perfusion SPECT/CT's importance for assessing low-risk patients with suspected myocardial infarction was selected as image of the year at the 2006 Society of Nuclear Medicine meeting in San Diego.
An image illustrating perfusion SPECT/CT's importance for assessing low-risk patients with suspected myocardial infarction was selected as image of the year at the 2006 Society of Nuclear Medicine meeting in San Diego.
Dr. Henry Wagner, a professor of nuclear medicine at the Johns Hopkins School of Public Health in Baltimore, Maryland, selected the image from more than 650 scientific presentations and 900 posters. The image and its associated clinical study led by senior investigator Dr. Phillip Kaufmann of University Hospital Zurich in Switzerland demonstrated that multislice CT alone should not be trusted to triage low-risk patients.
"CT angiography is extremely sensitive; it is just not specific. It can show that people have coronary artery disease when blood flow to the heart is actually okay," Wagner said.
The shortcomings of anatomically based CTA are costly, considering that only 1.3% of the 480,000 chest pain patients annually admitted for an overnight hospital stay have actually experienced myocardial infarction.
Dr. Oliver Gaemperli, a fellow at the University of Zurich, found in study of 62 consecutive patients with suspected CAD that 64-slice CTA generated only a 44% positive predictive value for 75% or greater stenosis on a per-patient basis and a 90% negative predictive value for ruling out significant disease.
"The information obtained from either SPECT or CT alone can be insufficient to identify the vessel that is responsible for causing ischemia," Gaemperli said.
Results from the Zurich trial correlate well with an Israeli study that reported SPECT and MSCT produced an 83% PPV when performed together. But the PPV was only 27% for significant stenosis on a per-segment basis when CTA was performed alone, Wagner said.
The ability of perfusion SPECT to boost the specificity arose again in a University of Munich trial reported at the SNM conference. Results from 35 patients suggested that 64-slice CTA failed to reliably predict the hemodynamic relevance of coronary artery stenosis in patients with stable angina and confirmed that perfusion SPECT remains mandatory for evaluating the functional relevance of coronary artery lesions, Wagner said.
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.