Create Account | Sign In: Author or Forum

Search Symptoms

Category: Oncology | Pathology | Pulmonology | Journal

Back to Journal Articles

New AI Model May Predict Cancerous Lung Nodules

Last Updated: March 14, 2019.

The Lung Cancer Causal Model shows promise as a predictor of cancerous lung nodules, according to a study published online March 12 in Thorax.

THURSDAY, March 14, 2019 (HealthDay News) -- The Lung Cancer Causal Model (LCCM) shows promise as a predictor of cancerous lung nodules, according to a study published online March 12 in Thorax.

Vineet K. Raghu, from the University of Pittsburgh, and colleagues used demographic and clinical data as well as low-dose computed tomography (LDCT) features for 92 individuals (training cohort) participating in the Pittsburgh Lung Screening cohort. The authors sought to develop an efficient predictor of early lung cancer, which was validated in a separate cohort of 126 individuals.

The researchers found that probabilistic graphical models identified three variables causally linked to malignant nodules and the largest benign nodule and integrated them to build the LCCM. Malignant nodules were discriminated from benign nodules based on nodule and vessel numbers and years since quitting smoking. The LCCM was found to improve cancer detection over existing methods, including the Brock parsimonious model. The number of surrounding vessels, which has not previously been used in predictive models, significantly improved predictive efficiency.

"LCCM is able to identify 30 percent of the benign nodules without risk of misclassifying," the authors write.

Abstract/Full Text


Previous: One-Month Regimen Noninferior for Preventing HIV-Related TB Next: Infertility in Women Linked to Modestly Elevated Cancer Risk

Reader comments on this article are listed below. Review our comments policy.


Submit your opinion: