FDG-PET predicts chemo response in ovarian cancer
Changes in FDG uptake after subsequent cycles of neoadjuvant therapy can predict long-term patient survival. Researchers from the Technical University of Munich reported these findings at the Society of Nuclear Medicine meeting in June.
Changes in FDG uptake after subsequent cycles of neoadjuvant therapy can predict long-term patient survival. Researchers from the Technical University of Munich reported these findings at the Society of Nuclear Medicine meeting in June.
Dr. Stefanie Sassen and colleagues enrolled 33 patients who underwent FDG-PET imaging of the abdomen and pelvis before and after carboplatin-based chemotherapy. Patients went on to debulking surgery after chemo and were monitored for three years.
The researchers observed a significant correlation between FDG-PET uptake changes and patient survival after the first and third cycles of therapy. Overall survival of patients classified as responders and nonresponders to FDG-PET was 38.9 months and 19.7 months, respectively.
Can CT-Based Deep Learning Bolster Prognostic Assessments of Ground-Glass Nodules?
June 19th 2025Emerging research shows that a multiple time-series deep learning model assessment of CT images provides 20 percent higher sensitivity than a delta radiomic model and 56 percent higher sensitivity than a clinical model for prognostic evaluation of ground-glass nodules.
