PET/MRI Promising for Esophageal Cancer Staging
Preoperative imaging of patients with esophageal cancer by PET and MRI may provide higher accuracy in nodal staging.
Compared with endoscopic ultrasound (EUS), PET/MR imaging may provide higher accuracy in nodal staging of esophageal cancer, according to a study published in the Journal of Nuclear Medicine.
Researchers from Pusan National University Hospital in Korea undertook a prospective study to compare the results of EUS, CT, PET/MR imaging and PET/CT for the preoperative local and regional staging of esophageal cancer, with postoperative pathologic stage used as the reference standard.
Nineteen patients (15 men) with newly diagnosed resectable esophageal cancer participated in the study. All underwent preoperative EUS, CT, PET/CT and PET/MR imaging. The images were reviewed by a chest radiologist and nuclear medicine physician, who assigned tumor and lymph node stages.
Findings for accurate staging were as follows:
While the study was small and limited, “PET/MR imaging demonstrated acceptable accuracy for T staging compared with EUS and, although not statistically significant, even higher accuracy than EUS and PET/CT for prediction of N staging,” the authors wrote.
Emerging AI Algorithm Shows Promise for Abbreviated Breast MRI in Multicenter Study
April 25th 2025An artificial intelligence algorithm for dynamic contrast-enhanced breast MRI offered a 93.9 percent AUC for breast cancer detection, and a 92.3 percent sensitivity in BI-RADS 3 cases, according to new research presented at the Society for Breast Imaging (SBI) conference.
Can Abbreviated Breast MRI Have an Impact in Assessing Post-Neoadjuvant Chemotherapy Response?
April 24th 2025New research presented at the Society for Breast Imaging (SBI) conference suggests that abbreviated MRI is comparable to full MRI in assessing pathologic complete response to neoadjuvant chemotherapy for breast cancer.
Clarius Mobile Health Unveils Anterior Knee Feature for Handheld Ultrasound
April 23rd 2025The T-Mode Anterior Knee feature reportedly offers a combination of automated segmentation and real-time conversion of grayscale ultrasound images into color-coded visuals that bolster understanding for novice ultrasound users.
