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Clinical Value of Combining Molecular and Immune Blood Tests to Safely Reduce False Positives in Low-Dose Computed Tomography Lung Cancer Screening.

1/5 보강
Journal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer 📖 저널 OA 14.3% 2022: 1/1 OA 2025: 2/16 OA 2026: 11/81 OA 2022~2026 2026 p. 103614
Retraction 확인
출처

PICO 자동 추출 (휴리스틱, conf 2/4)

유사 논문
P · Population 대상 환자/모집단
환자: cancers diagnosed within 2 years (p = 0
I · Intervention 중재 / 시술
추출되지 않음
C · Comparison 대조 / 비교
추출되지 않음
O · Outcome 결과 / 결론
[CONCLUSION] Integration of immune and molecular markers significantly enhances LDCT screening accuracy. The higher NPV achieved by the combined model allows greater confidence in ruling out malignancy among LDCT-detected nodules, thereby reducing unnecessary follow-up examinations and invasive procedures.

Zanghì A, Moro M, Fortunato O, Segale M, Sabia F, Suatoni P

📝 환자 설명용 한 줄

[INTRODUCTION] Low-dose computed tomography (LDCT) screening saves lives but is limited by high false-positive rates, necessitating noninvasive risk stratification.

🔬 핵심 임상 통계 (초록에서 자동 추출 — 원문 검증 권장)
  • p-value p = 0.0323
  • p-value p = 0.0008
  • Sensitivity 98%

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↓ .bib ↓ .ris
APA Zanghì A, Moro M, et al. (2026). Clinical Value of Combining Molecular and Immune Blood Tests to Safely Reduce False Positives in Low-Dose Computed Tomography Lung Cancer Screening.. Journal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer, 103614. https://doi.org/10.1016/j.jtho.2026.103614
MLA Zanghì A, et al.. "Clinical Value of Combining Molecular and Immune Blood Tests to Safely Reduce False Positives in Low-Dose Computed Tomography Lung Cancer Screening.." Journal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer, 2026, pp. 103614.
PMID 41707946 ↗

Abstract

[INTRODUCTION] Low-dose computed tomography (LDCT) screening saves lives but is limited by high false-positive rates, necessitating noninvasive risk stratification. The prospective Bio-Multicentric Italian Lung Detection (BioMILD) trial was the first to validate the combination of a plasma microRNA test (MSC) with LDCT to personalize screening intervals. This study integrates a novel immune signature classifier (ISC), based on peripheral blood mononuclear cell profiling, to complement MSC, maximize information from a single blood draw, and further optimize the management of suspicious lung nodules.

[METHODS] Plasma and peripheral blood mononuclear cell samples were prospectively collected from 304 heavy smokers enrolled in the BioMILD trial who presented with LDCT-detected suspicious nodules and a 7.5-year median follow-up. MSC and ISC tests were determined by real-time quantitative polymerase chain reaction. Grafting of patient-derived xenograft models, obtained from the same patients, was used as indicator of tumor aggressiveness.

[RESULTS] ISC was associated with age (p = 0.0323) and Lung-RADS (p = 0.0008) and was significantly higher in patients with cancers diagnosed within 2 years (p = 0.0006). Higher ISC values also correlated with successful patient-derived xenograft engraftment (p = 0.0449). In terms of diagnostic performance, the combined ISC and MSC model achieved 96% sensitivity and 98% negative predictive value (NPV) (95% confidence interval: 0.93-0.99). It represented a significant enhancement than MSC alone (ΔNPV = +0.05; 95% confidence interval: 0.01-0.08) and resulted in a 37% reduction of false positives.

[CONCLUSION] Integration of immune and molecular markers significantly enhances LDCT screening accuracy. The higher NPV achieved by the combined model allows greater confidence in ruling out malignancy among LDCT-detected nodules, thereby reducing unnecessary follow-up examinations and invasive procedures.

🏷️ 키워드 / MeSH 📖 같은 키워드 OA만

🏷️ 같은 키워드 · 무료전문 — 이 논문 MeSH/keyword 기반