Скачать или смотреть Improving Incidental Lung Nodule Follow-up, with Javier Zulueta, MD

Incidental lung nodule (ILN) programs fill a significant gap in care by identifying ILNs and coordinating follow-up care to significantly improve follow-up rates for ILNs.

HCPLive spoke with Javier Zulueta, MD, to learn more about Mount Sinai's ILN program using AI tools to improve follow-up and recent findings from the program presented at #ATS2025.

In Mount Sinai's program, the ILN intervention led to 428 follow-up CT scans, 47 PET scans, 489 lung nodule clinic visits, 61 biopsies, and 9 surgical procedures. ILNP identified 15 cases of lung cancer, with 10 detected in early stages, as well as 6 non-cancerous conditions, including tuberculosis, nontuberculous mycobacteria, and sarcoidosis. The follow-up rate for ILNs also increased from 42% at baseline to 70% after 6 months of the program, with larger nodules having higher follow-up completion rates.

“ILN programs are detecting, in some instances, and this has been published, 5 times more cancers than lung cancer screening programs. So, I encourage everybody who is working in the field of lung nodules and diagnostic diagnosis of lung cancer that they consider implementing ILN programs using these new AI tools that are becoming available,” Zulueta said.

Read more here: https://www.hcplive.com/view/improvin...