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FDG-PET/CT identifies aortic dissection
PET/CT imaging with FDG can identify when a tear in the wall of the aorta causes blood to flow between the wall's layers and forces the layers apart, according to research.
PET/CT imaging with FDG can identify when a tear in the wall of the aorta causes blood to flow between the wall's layers and forces the layers apart, according to research.
Many conventional forms of imaging are unable to distinguish between acute and chronic dissection, according to the study, published in the May Journal of Nuclear Medicine. Differentiating acute and chronic dissection can alter the course of treatment, meaning rushing the patient to surgery or using beta blockers to lower blood pressure.
Acute dissection of the aortic wall leads to elevated metabolic activity in newly lacerated segments of the aortic wall, while stable chronic aortic dissection showed no increased metabolic activity (2010;51:686-691).
In the same issue of JNM, Japanese researchers found that greater metabolic activity in acute aortic dissection was significantly associated with increased risk for rupture and progression (2010;51:674-681).
Seven Takeaways from New CT and MRI Guidelines for Ovarian Cancer Staging
January 20th 2025In an update of previous guidelines from the European Society of Urogenital Radiology published in 2010, a 21-expert panel offered consensus recommendations on the utility of CT, MRI and PET-CT in the staging and follow-up imaging for patients with ovarian cancer.
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 Radiomics Bolster Low-Dose CT Prognostic Assessment for High-Risk Lung Adenocarcinoma?
December 16th 2024A CT-based radiomic model offered over 10 percent higher specificity and positive predictive value for high-risk lung adenocarcinoma in comparison to a radiographic model, according to external validation testing in a recent study.
Can AI Facilitate Single-Phase CT Acquisition for COPD Diagnosis and Staging?
December 12th 2024The authors of a new study found that deep learning assessment of single-phase CT scans provides comparable within-one stage accuracies to multiphase CT for detecting and staging chronic obstructive pulmonary disease (COPD).
