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Oleg Kshivets
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P2.11 - Screening and Early Detection (ID 178)
- Event: WCLC 2019
- Type: Poster Viewing in the Exhibit Hall
- Track: Screening and Early Detection
- Presentations: 1
- Moderators:
- Coordinates: 9/09/2019, 10:15 - 18:15, Exhibit Hall
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P2.11-27 - Early Detection of Lung Cancer: Optimal Strategies (ID 132)
10:15 - 18:15 | Presenting Author(s): Oleg Kshivets
- Abstract
Background
Significance of blood cell subpopulations in terms of early detection of lung cancer (LC) was investigated.
Method
In trial (1987-2019) consecutive cases after surgery, monitored 115 LC patients (LCP) (m=100, f=15; lobectomies=115) with pathologic stage IA (tumor size=1.86±0.30 cm; squamous=51, adenocarcinoma=59, large cell=5; T1N0M0=115; G1=39, G2=42, G3=34, 5-year survival=100%) and control group (CG) (n=402): 120 healthy donors (HD) (m=69, f=51) and 282 patients with lung non-malignant pathology (NMP) (m=188, f=94; pneumonectomies=5, lobectomies=179, segmentectomies=98; non-malignant tumors=100; abscess=112; tuberculoma=70) were reviewed. Variables selected for study were input levels of blood cell circuit, sex, age, TNMG. Differences between groups were evaluated using discriminant analysis, clustering, nonlinear estimation, structural equation modeling, Monte Carlo, bootstrap simulation and neural networks computing.
Result
It was revealed that early detection of LC from CG (n=517) significantly depended on: leucocytes (abs, total), segmented neutrophils (%, abs, total), lymphocytes (%), monocytes (%, abs, total) (P=0.048-0.000). Neural networks computing, genetic algorithm selection and bootstrap simulation revealed relationships of early detection of LC and lymphocytes (rank=1), segmented neutrophils (rank=2), monocytes (3), eosinophils (4), leucocytes (5), stick neutrophils (6). Correct recognition of early LCP from CG was 100% by neural networks computing (error=0.000; area under ROC curve=1.0).
Conclusion
Early detection of LC from HD and NMP significantly depended on blood cell subpopulations.