Using high-resolution CT scans to screen for lymphangioleiomyomatosis is cost-effective in women between the ages of 25 and 54 who don’t smoke and come to the emergency room for the first time with a collapsed lung, according to University of Cincinnati researchers.
Using high-resolution CT scans to screen for lymphangioleiomyomatosis is cost-effective in women between the ages of 25 and 54 who don’t smoke and come to the emergency room for the first time with a collapsed lung, according to University of Cincinnati researchers.
About 5% of women who fit the “model patient” profile-a 30-year old, nonsmoking woman who comes into the emergency room with a spontaneous lung collapse-test positive for lymphangioleiomyomatosis (LAM).
Screening for LAM with high-resolution CT is the most cost-effective strategy, with approximately $32,000 per quality-adjusted life year gained, the authors said. With this data, physicians will be able to intervene with therapies more quickly and enroll patients in clinical trials that may be able to slow progression of the disease.
The study will change future guideline recommendations on how to treat patients presenting with pneumothorax, according to Dr. John Heffner, past president of the American Thoracic Society.
The findings have been published online in the American Journal of Respiratory and Critical Care Medicine.
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).