Sold by: OneMedNet Corporation
Deployed on AWS
Lung-RADS stands for Lung CT Screening Reporting and Data System. It's a system that helps standardize how lung cancer screenings are reported and managed. Helps classify abnormalities in low-dose CT scans. Helps standardize follow-up and management decisions. Helps identify participants who have lung cancer. Helps reduce unnecessary diagnostic studies or invasive procedures.
Overview
A CT lung screening, specifically using a low-dose CT scan (LDCT), is recommended for people at high risk of lung cancer, primarily heavy smokers, because it can detect lung cancer at an early stage when treatment is most likely to be successful, potentially reducing the risk of dying from lung cancer compared to not getting screened; however, it's important to discuss the potential risks and benefits with your doctor before deciding to undergo screening.
Datesets include: CT Lung Screening data with positive Lung CA. Lung Rad score with type of Lung Cancer of biopsied tissue Category 1: Negative screening results Category 2: Benign appearance Category 3: Probably benign Category 4: Suspicious Category 4A: 5-15% estimated risk of malignancy Category 4B or 4X: Greater than 15% estimated risk of malignancy
Datasets: 97 studies
Inclusion / Exclusion Criteria All scanning vendors Ages 18-89 All race and ethnicity included Participated in Lung Screening program between 2012-2022 Low dose CT with histopathology confirmation of Lung CA within 12 months Nodule type must be known Nodule composition
We are providing a free sample. If you require additional data or data enrichment or have any questions, please contact us directly at sales@onemednet.com
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Additional details
You will receive access to the following data sets.
Data set name | Type | Historical revisions | Future revisions | Sensitive information | Data dictionaries | Data samples |
|---|---|---|---|---|---|---|
CT Chest Lung Rads | All historical revisions | All future revisions | Not included | Not included |
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