- AI
- Molecular Imaging
- CT
- X-Ray
- Ultrasound
- MRI
- Facility Management
- Mammography
How Socioeconomic Disparities Affect Follow-Up of Incidental Pulmonary Nodules on CT
In a study of nearly 2,500 patients with incidental pulmonary nodules (IPN) on chest computed tomography (CT) exams, 69.5 percent of those in the highest quartile of the CDC’s Social Vulnerability Index (SVI) had inappropriate IPN follow-up in comparison to 54.3 percent of those in the lowest quartile of the CDC SVI.
Emerging research suggests socioeconomic disparities have a significant impact on the follow-up of incidental pulmonary nodules (IPNs) detected during computed tomography (CT) exams.
For the retrospective study, recently published in the Journal of the American College of Radiology, researchers reviewed data from 2,492 patients (mean age of 65.6) who had IPN greater than or equal to 6 mm or multiple subsolid/ground glass IPNs less than 6 mm. The study authors also examined IPN follow-up correlation with the Centers for Disease Control and Prevention (CDC)’s Social Vulnerability Index (SVI), a composite measure that considers a variety of factors, such as socioeconomic status, race, language, and transportation, in assessing community social determinants of health.
The researchers found that 69.5 percent of the top overall SVI quartile, representing the highest degree of social vulnerability or concentration of poorer, non-White residents, had inappropriate IPN follow-up. In contrast, inappropriate IPN follow-up occurred in 54.3 percent of the lowest SVI quartile, defined by the study authors as having the lowest social vulnerability or the highest concentration of White wealthy residents.
Utilizing the CDC’s Social Vulnerability Index (SVI), researchers found that social determinants of health, including socioeconomic status (SES), transportation and language, led to significant differences in the follow-up of incidental pulmonary findings (IPNs) on CT.
The study authors saw similar disparities with different subcategories of the SVI. An analysis of socioeconomic status (SES) found that 72 percent of the top SVI quartile had inappropriate IPN follow-up in comparison to 56.5 percent of the lowest SVI quartile. For the top SVI minority/language quartile, researchers noted that 64.9 percent had inappropriate IPN follow-up in comparison to 50.8 percent in the lowest SVI minority/language quartile. The study authors also saw a nine percent difference between the top and bottom SVI housing/transportation subcategory (64.1 percent versus 55.1 percent).
“We found geographic social vulnerability and residential segregation to be strong predictors of inappropriate follow-up, even after adjusting for factors such as patient age, race, ethnicity, smoking status, and nodule risk. Our results underscore the association between structural inequities and health disparities,” wrote Stella K. Kang, M.D., M.Sc, an associate professor in the Departments of Radiology and Population Health at the New York University Grossman School of Medicine., and colleagues.
The researchers also noted a higher percentage of patients lost to follow-up in the top overall SVI quartile (59 percent) in comparison to those in the lowest SVI quartile (46 percent).
“Patients living in lower socioeconomic or minority communities with higher levels of disability or lower levels of transportation may face challenges in healthcare access,” noted Kang and colleagues. “Other factors such as language barriers in patient-provider communication may also play a role.”
In regard to limitations of the study, researchers acknowledged that some of the follow-up on incidental pulmonary findings may have happened outside of the network of local health care facilities. For the assessment of social determinants of health, the study authors conceded that census tract measurements may not provide sufficient detail on socioeconomic disparities and racial-ethnic marginalization at the neighborhood level.
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.
