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ACR Lung CT Screening Reporting and Data System, a Systematic Review and Meta-Analysis Before Change in US
Joey Z Gu1, Grayson L Baird2, Connie Ge3
1Warren Alpert Medical School of Brown University, Providence, Rhode Island.
Lung CT screening results show Lung-RADS scores and positive predictive values (PPV) differ from ACR estimates. This suggests re-evaluating Lung-RADS categorization for real-world lung cancer screening populations.
Area of Science:
- Radiology and Imaging
- Oncology
- Public Health
Background:
- The Lung-RADS (Lung CT Screening Reporting and Data System) is crucial for standardizing lung cancer screening interpretation.
- Understanding real-world performance of Lung-RADS is essential, especially before potential changes in screening eligibility criteria.
- Previous estimates by the American College of Radiology (ACR) provide a benchmark for expected Lung-RADS score distributions and positive predictive values (PPV).
Approach:
- A systematic review and meta-analysis was conducted using data from 2014 to 2021.
- Searched databases included MEDLINE, Embase, CINAHL, and Web of Science.
- Extracted data encompassed patient demographics, smoking history, screening timeline, Lung-RADS scores, and PPV from 24 studies involving 32,817 patient encounters.
Key Points:
- The meta-analysis found lower rates of Lung-RADS 1-2 scores (84.4%) and higher rates of Lung-RADS 3 (8.7%) and 4 (6.5%) compared to ACR expectations.
- The overall observed PPV for Lung-RADS 3-4 was 13.1%, lower than the ACR's minimum estimate of 21%.
- The PPV for Lung-RADS 4 specifically was 28.6%, aligning with the ACR's minimum estimate.
Conclusions:
- Current literature data on Lung-RADS scores and PPV are not consistent with ACR estimates.
- Re-examination of Lung-RADS categorization may be necessary to improve concordance with real-world lung cancer screening populations.
- This study provides a valuable benchmark before broader screening guideline implementation and informs future reporting practices.
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