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Prevalence, Co-occurrence, and Prognostic Implications of S Modifiers in the Korean National Lung Cancer Screening Program.

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Radiology 📖 저널 OA 12.2% 2022: 0/2 OA 2023: 0/4 OA 2024: 0/2 OA 2025: 4/18 OA 2026: 5/31 OA 2022~2026 2026 Vol.318(1) p. e251656
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PICO 자동 추출 (휴리스틱, conf 2/4)

유사 논문
P · Population 대상 환자/모집단
600 participants (mean age ± SD, 62 years ± 5.
I · Intervention 중재 / 시술
추출되지 않음
C · Comparison 대조 / 비교
추출되지 않음
O · Outcome 결과 / 결론
Conclusion In a nationwide lung cancer screening group, structured reporting using seven standardized S modifiers revealed both their prevalence and associations with all-cause mortality, validating their clinical utility in identifying clinically significant abnormalities. © RSNA, 2026 See also the editorial by White and Gierada in this issue.

Kim H, Jo E, Kim J, Yoon SH, Hwang EJ, Choi H, Jin KN, Lee KH, Chang YC, Kim HY, Goo JM

📝 환자 설명용 한 줄

Background The documentation of clinically significant incidental findings (S modifiers) in low-dose CT lung cancer screening varies among radiologists.

🔬 핵심 임상 통계 (초록에서 자동 추출 — 원문 검증 권장)
  • 추적기간 3.7 years

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APA Kim H, Jo E, et al. (2026). Prevalence, Co-occurrence, and Prognostic Implications of S Modifiers in the Korean National Lung Cancer Screening Program.. Radiology, 318(1), e251656. https://doi.org/10.1148/radiol.251656
MLA Kim H, et al.. "Prevalence, Co-occurrence, and Prognostic Implications of S Modifiers in the Korean National Lung Cancer Screening Program.." Radiology, vol. 318, no. 1, 2026, pp. e251656.
PMID 41493277 ↗

Abstract

Background The documentation of clinically significant incidental findings (S modifiers) in low-dose CT lung cancer screening varies among radiologists. Although the Korean National Lung Cancer Screening Program adopted structured reporting for seven standardized S modifiers, the prognostic value of standardized S modifiers has not been evaluated comprehensively. Purpose To evaluate the implementation of structured reporting for prespecified S modifiers by analyzing their prevalence, mortality associations, and co-occurrence patterns. Materials and Methods This retrospective study included baseline screening participants from the Korean National Lung Cancer Screening Program between August 2019 and December 2020. The prevalence of seven S modifiers was calculated, and their prognostic value for all-cause mortality was assessed using multivariable Cox regression. Latent class analysis (LCA) was performed to identify co-occurrence patterns, which were analyzed for mortality risk stratification. Results Among 125 600 participants (mean age ± SD, 62 years ± 5.3; 123 331 men), 2.69% ( = 3380) died over a median follow-up of 3.7 years. Coronary artery calcification was most prevalent (15.07% [18 892 of 125 366 participants]), followed by emphysema (13.77% [17 300 of 125 600 participants]), interstitial lung abnormalities (ILAs) (2.65% [3324 of 125 600 participants]), and pulmonary infection (0.90% [1123 of 124 477 participants]). Extrapulmonary malignancy (74 of 125 257 participants), aortic aneurysm (78 of 125 256 participants), and pleural and/or pericardial effusion (75 of 125 253 participants) were each observed in less than 0.1% of participants. All S modifiers were associated with increased all-cause mortality, with adjusted hazard ratios (HRs) of 8.28 (95% CI: 5.48, 12.51) for pleural and/or pericardial effusion, 3.58 (95% CI: 1.97, 6.49) for extrapulmonary malignancy, 3.28 (95% CI: 1.71, 6.32) for aortic aneurysm, 2.16 (95% CI: 1.89, 2.47) for ILAs, 1.41 (95% CI: 1.30, 1.53) for coronary artery calcification, and 1.15 (95% CI: 1.05, 1.25) for emphysema ( < .001 for all except for emphysema, with = .002). LCA helped identify four distinct classes with a stepwise increase in mortality from isolated emphysema (adjusted HR, 1.22; 95% CI: 1.10, 1.36; < .001) to high-risk modifiers (adjusted HR, 5.35; 95% CI: 3.40, 8.41; < .001). Conclusion In a nationwide lung cancer screening group, structured reporting using seven standardized S modifiers revealed both their prevalence and associations with all-cause mortality, validating their clinical utility in identifying clinically significant abnormalities. © RSNA, 2026 See also the editorial by White and Gierada in this issue.

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