Abdominal CT studies can help clinicians accurately evaluate the lumbar spine.
Abdominal CT studies are a feasible method for obtaining an accurate evaluation of the lumbar spine, according to a study published in the British Journal of Radiology.
Researchers from Milwaukee VA Medical Center in Wisconsin sought to determine if the lumbar spine can be accurately evaluated on an abdominal CT.
The researchers obtained the records of all consecutive patients who underwent an abdominal CT within 12 months of a lumbar spine MRI between November 1, 2010 and October 31, 2015. The abdominal CT studies were retrospectively reviewed in a blinded fashion for the presence of any significant lumbar spine abnormalities. The prospective lumbar spine MRI reports were used as the standard of reference.
A total of 144 patients met the inclusion criteria of the study; 107 patients had 256 abnormal findings on the lumbar spine MRI studies.
The researchers concluded that while there were several limitations, which included spinal cord assessment, bone marrow assessment, and quantum mottle, compared with evaluation of the lumbar spine using MRI, evaluation of the lumbar spine on abdominal CT studies can be accurately performed with current state-of-the-art CT scanners. They do suggest that additional prospective studies are needed for a more definitive analysis.
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.