Combining FDG/PET with CT helps radiologists detect lymph node metastasis in high-risk endometrial cancer.
Adding fluorine 18 fluorodeoxyglucose (FDG) positron emission tomography (PET) to CT allows for better detection of lymph node (LN) metastasis in high-risk endometrial cancer, according to a study published in the journal Radiology. Researchers from Canada and the United States performed a prospective multicenter study to assess the diagnostic accuracy of FDG/PET combined with diagnostic contrast material–enhanced CT in detecting LN metastasis in high-risk endometrial cancer. The researchers gathered data from January 2010 and June 2013 of 215 patients who underwent PET/CT and pelvic and abdominal lymphadenectomy. A total of 207 enrolled patients (mean age 62.7 years) had PET/CT and pathologic examination results for the abdomen and pelvis. The researchers used data in all 23 patients with a positive abdominal examination and in 26 randomly selected patients with a negative abdominal examination for the central reader study. Seven independent blinded readers participated in different sessions one month apart to review diagnostic CT and PET/CT results. The accuracy was calculated at the participant level, correlating abdominal (right and left para-aortic and common iliac) and pelvic (right and left external iliac and obturator) LN regions with pathologic results, respecting laterality. Reader-average sensitivities, specificities, and areas under the receiver operating characteristic curve (AUCs) of PET/CT and diagnostic CT were compared. Power calculation was for sensitivity and specificity in the abdomen. The results showed the FDG PET/CT had satisfactory diagnostic accuracy in detecting abdominal LN metastasis: PET/CT Diagnostic CTSensitivity, detection of LNmetastasis abdomen 0.65 0.50Sensitivity, detection of LNin pelvis 0.65 0.48Specificity, abdomen 0.88 0.93Specificity, pelvis 0.93 0.89AUC, abdomen 0.78 0.74AUC, pelvis 0.82 0.73 The researchers concluded that compared with diagnostic CT alone, addition of PET to diagnostic CT significantly increased sensitivity in both the abdomen and pelvis while maintaining high specificity.
Can CT-Based AI Provide Automated Detection of Colorectal Cancer?
February 14th 2025For the assessment of contrast-enhanced abdominopelvic CT exams, an artificial intelligence model demonstrated equivalent or better sensitivity than radiologist readers, and greater than 90 percent specificity for the diagnosis of colorectal cancer.
Key Chest CT Parameters for Body Composition May be Prognostic for Patients with Resectable NSCLC
February 11th 2025A high intermuscular adipose index has a 49 percent increased likelihood of being associated with lower overall survival in patients with resectable non-small cell lung cancer (NSCLC), 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.
Comparative AI Study Shows Merits of RapidAI LVO Software in Stroke Detection
February 6th 2025The Rapid LVO AI software detected 33 percent more cases of large vessel occlusion (LVO) on computed tomography angiography (CTA) than Viz LVO AI software, according to a new comparative study presented at the International Stroke Conference (ISC).
New CT Angiography Study Shows Impact of COVID-19 on Coronary Inflammation and Plaque
February 5th 2025Prior COVID-19 infection was associated with a 28 percent higher progression of total percent atheroma volume (PAV) annually and over a 5 percent higher incidence of high-risk plaque in patients with coronary artery lesions, according to CCTA findings from a new study.