SlideShare una empresa de Scribd logo
1 de 19
Descargar para leer sin conexión
SURVIVAL OF LUNG CANCER PATIENTS
AFTER LOBECTOMIES WAS SIGNIFICANTLY
SUPERIOR IN COMPARISON WITH LUNG
CANCER PATIENTS AFTER
PNEUMONECTOMIES
Kshivets Oleg, MD, PhD
Surgery Department, Roshal Hospital, Roshal,
Moscow, Russia
ABSTRACT
OBJECTIVE: This study aimed to determine surgery type influence for 5-year survival (5YS) of non-small cell lung cancer (LC) patients (LCP) after complete en
block (R0) lobectomies and pneumonectomies.
METHODS: We analyzed data of 765 consecutive patients (age=57.6±8.3 years; tumor size=4.1±2.4 cm) radically operated (R0) and monitored in 1985-2022
(m=659, f=106; bi/lobectomies=512, pneumonectomies=253, mediastinal lymph node dissection=765; combined procedures with resection of trachea, carina,
atrium, aorta, VCS, vena azygos, pericardium, liver, diaphragm, ribs, esophagus=192; only surgery-S=616, adjuvant chemoimmunoradiotherapy-AT=149:
CAV/gemzar + cisplatin + thymalin/taktivin + radiotherapy 45-50Gy; T1=318, T2=255, T3=133, T4=59; N0=514, N1=131, N2=120, M0=765; G1=194, G2=241, G3=330;
squamous=417, adenocarcinoma=298, large cell=50; early LC=212, invasive LC=553. Multivariate Cox modeling, discriminant analysis, clustering, SEPATH, Monte
Carlo, bootstrap and neural networks computing were used to determine any significant dependence.
RESULTS: Overall life span (LS) was 2240.1±1751.6 days and cumulative 5-year survival (5YS) reached 72.8%, 10 years – 64.2%, 20 years – 42.9%. 499 LCP lived
more than 5 years (LS=3126.8±1540 days), 143 LCP – more than 10 years (LS=5083.3±1518.6 days).199 LCP died because of LC (LS=562.7±374.5 days). 5YS of LCP
after bi/lobectomies was significantly superior in comparison with LCP after pneumonectomies (77.6% vs.63.1%, P=0.00001 by log-rank test). AT significantly
improved 5YS (64.4% vs. 34.8%) (P=0.00003 by log-rank test) only for LCP with N1-2. Cox modeling displayed that 5YS of LCP significantly depended on: phase
transition (PT) early-invasive LC in terms of synergetics, PT N0—N12, cell ratio factors (ratio between cancer cells- CC and blood cells subpopulations), G1-3,
histology, glucose, AT, blood cell circuit, prothrombin index, heparin tolerance, recalcification time (P=0.000-0.038). 5YS of LCP after lobectomies (77.6%) was
significantly superior in comparison with LCP after pneumonectomies (63%) (P=0.00001 by log-rank test). Neural networks, genetic algorithm selection and
bootstrap simulation revealed relationships between 5YS and PT early-invasive LC (rank=1), PT N0—N12(rank=2), thrombocytes/CC (3), erythrocytes/CC (4),
eosinophils/CC (5), healthy cells/CC (6), segmented neutrophils/CC (7), lymphocytes/CC (8), monocytes/CC (9); stick neutrophils/CC (10), leucocytes/CC (11).
Correct prediction of 5YS was 100% by neural networks computing (area under ROC curve=1.0; error=0.0).
CONCLUSIONS: 5YS of LCP after radical procedures significantly depended on: 1) PT early-invasive cancer; 2) PT N0--N12; 3) cell ratio factors; 4) blood cell
circuit; 5) biochemical factors; 6) hemostasis system; 7) AT; 8) LC characteristics; 9) surgery type: lobectomy/pneumonectomy; 10) anthropometric data.
RADICAL PROCEDURES:
Bi/Lobectomies (R0)……………………………………..…….…….512
Pneumonectomies (R0)………………….………...........................253
Combined Procedures with Resection of Trachea, Carina,
Atrium, Aorta, VCS, Vena Azygos, Pericardium, Liver,
Diaphragm, Ribs, Esophagus (R0)……………...........................192
Mediastinal Lymphadenectomy………………………..………….765
DATA:
Males……………………………………………………………….....659
Females………..……………………………………….…................106
Age=57.6±8.3 years
Tumor Size=4.1±2.1 cm
Only Surgery.……………………………………………….............616
Adjuvant Chemoimmunoradiotherapy
(CAV/gemzar+cisplatin+thymalin/taktivin, 5-6 cycles+
Radiotherapy 45-50Gy)…………................................................149
STAGING:
T1……318 N0..….514 G1…………194
T2……255 N1…...131 G2…………241
T3……133 N2…...120 G3…………330
T4……..59 M0…..765
Adenocarcinoma………………………….….417
Squamos Cell Carcinoma…………………..228
Large Cell Carcinoma…………………...........50
Early Cancer……………………………...…...212
Invasive Cancer…………………………..…..553 .
SURVIVAL RATE:
Alive……………………………………….....511 (66.8%)
5-Year Survivors…………..……………….499 (65.2%)
10-Year Survivors………………………….143 (18.7%)
Losses……………………………………….199 (26%)
General Life Span=2240.1±1751.6 days
For 5-Year Survivors=3126.8±1540 days
For 10-Year Survivors=5083.3±1518.6 days
For Losses=562.7±374.5 days
Cumulative 5-Year Survival……………………..72.8%
Cumulative 10-Year Survival…………………....64.2%
Cumulative 20-Year Survival…………………....42.9%
GENERAL LUNG CANCER PATIENTS SURVIVAL AFTER COMPLETE
LOBECTOMIES/PNEUMONECTOMIES (KAPLAN-MEIER) (N=765):
Survival Function
5YS of LCP=72.8%; 10YS=64.2%; 20YS=42.9%.
Complete Censored
-5 0 5 10 15 20 25 30
Years after Surgery
0.0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
1.0
Cumulative
Proportion
Surviving
RESULTS OF UNIVARIATE ANALYSIS OF PHASE TRANSITION EARLY—INVASIVE
CANCER IN PREDICTION OF LUNG CANCER PATIENTS SURVIVAL (N=765):
Cumulative Proportion Surviving (Kaplan-Meier)
5YS LCP with Early Cancer=100%; 5YS LCP with Invasive Cancer=62%;
P=0.0000 by Log-Rank Test.
Complete Censored
0 5 10 15 20 25 30 35
Years after Surgery
-0.2
0.0
0.2
0.4
0.6
0.8
1.0
Cumulative
Proportion
Surviving
LCP with Invasive Cancer
LCP with Early Cancer
RESULTS OF UNIVARIATE ANALYSIS OF PHASE TRANSITION N0—N1-2
IN PREDICTION OF LUNG CANCER PATIENTS SURVIVAL (N=765):
Cumulative Proportion Surviving (Kaplan-Meier)
5YS LCP with N0=86.8%; 5YS LCP with N12=43.4%;
P=0.0000 by Log-Rank Test.
Complete Censored
0 5 10 15 20 25 30 35
Years after Surgery
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
1.0
Cumulative
Proportion
Surviving
LCP with N12
LCP with N0
RESULTS OF UNIVARIATE ANALYSIS OF ADJUVANT
CHEMOIMMUNORADIOTHERAPY IN PREDICTION OF LUNG CANCER PATIENTS
SURVIVAL WITH N1-2 (N=251):
Cumulative Proportion Surviving (Kaplan-Meier)
LCP with N12 5YS LCP after Adjuvant Treatment=63.4%; 5YS after surgery along=34.8%;
P=0.00003 by Log-Rank Test.
Complete Censored
0 5 10 15 20 25 30
Years after Surgery
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
1.0
Cumulative
Proportion
Surviving
only Surgery
Adjuvant Chemoimmunoradiotherapy
RESULTS OF UNIVARIATE ANALYSIS OF SURGERY TYPE (LOBECTOMIES VS.
PNEUMONECTOMIES) IN PREDICTION OF LUNG CANCER PATIENTS SURVIVAL (N=765):
Cumulative Proportion Surviving (Kaplan-Meier)
5YS LCP after Lobectomies=77.6%; 5YS LCP after Pneumonectomies=63%;
P=0.00001 by Log-Rank Test.
Complete Censored
0 5 10 15 20 25 30 35
Years after Surgery
-0.1
0.0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
1.0
Cumulative
Proportion
Surviving
LCP after Pneumonectomies
LCP after Lobectomies
RESULTS OF COX REGRESSION MODELING IN PREDICTION OF LUNG CANCER
PATIENTS SURVIVAL AFTER COMPLETE SURGERY (N=756):
Cox
Parameter
Estimate
Standard
Error
Chi-
square
P value
95%
Lower CL
95%
Upper CL
Hazard
Ratio
PT N0----N12 1.12860 0.144710 60.82492 0.000000 0.84497 1.4122293.091330
PT Early-Invasive LC -1.47064 0.289169 25.86488 0.000000 -2.03740 -0.9038810.229778
Histology 0.32311 0.083065 15.13080 0.000100 0.16030 0.4859111.381414
Heparin Tolerance 0.00334 0.000653 26.16087 0.000000 0.00206 0.0046221.003347
Recalcification Time -0.00395 0.001693 5.43911 0.019691 -0.00727 -0.0006300.996059
Prothrombin Index 0.03107 0.006560 22.43073 0.000002 0.01821 0.0439241.031555
AT -1.03805 0.196916 27.78926 0.000000 -1.42400 -0.6521060.354143
Leucocytes/CC -0.40957 0.150122 7.44318 0.006368 -0.70380 -0.1153320.663939
Segmented Neut/CC 0.43089 0.162072 7.06844 0.007845 0.11324 0.7485501.538633
Lymphocytes/CC 0.37542 0.172624 4.72960 0.029648 0.03708 0.7137521.455597
G1-3 0.31333 0.087560 12.80502 0.000346 0.14171 0.4849431.367969
Glucose -0.32171 0.077069 17.42452 0.000030 -0.47276 -0.1706540.724911
Thrombocytes tot 0.00055 0.000184 8.94820 0.002777 0.00019 0.0009131.000552
Erythrocytes tot -0.03595 0.016873 4.53860 0.033139 -0.06902 -0.0028760.964691
Age 0.01723 0.008588 4.02430 0.044849 0.00040 0.0340601.017377
RESULTS OF NEURAL NETWORKS COMPUTING IN PREDICTION OF LUNG
CANCER PATIENTS SURVIVAL AFTER COMPLETE SURGERY (N=698):
Corect Classification Rate=100%;
Error=0.000;
Area under ROC Curve=1.000.
Factors, LCP=698 Rank Sensitivity
Phase Transition Early—Invasive Cancer 1 28854
Phase Transition N0---N12 2 25420
Thrombocytes/Cancer Cells 3 11601
Erythrocytes/Cancer Cells 4 11414
Eosinophils/Cancer Cells 5 10658
Healthy Cells/Cancer Cells 6 8871
Segmented Neutrophils/Cancer Cells 7 7844
Lymphocytes/Cancer Cells 8 6416
Monocytes/Cancer Cells 9 5454
Stick Neutrophils/Cancer Cells 10 5353
Leucocytes/Cancer Cells 11 4075
RESULTS OF BOOTSTRAP SIMULATION IN PREDICTION OF
LUNG CANCER PATIENTS SURVIVAL AFTER SURGERY (N=698):
Bootstrap Simulation n=698
Significant Factors
(Number of Samples=3333)
Rank Kendal
Tau-A
P<
Healthy Cells/Cancer Cells 1 -0.297 0.000
Erythrocytes/Cancer Cells 2 -0.293 0.000
Lymphocytes/Cancer Cells 3 -0.287 0.000
Thrombocytes/Cancer Cells 4 -0.268 0.000
Leucocytes/Cancer Cells 5 -0.258 0.000
Segmented Neutrophils/Cancer Cells 6 -0.208 0.000
Tumor Size 7 0.174 0.000
Phase Transition Early-Invasive Cancer 8 -0.163 0.000
Phase Transition N0---N12 9 -0.158 0.000
T1-4 10 0.151 0.000
Prothrombin Index 11 0.141 0.000
Lymphocytes tot 12 -0.140 0.000
Erythrocytes tot 13 -0.138 0.000
Monocytes/Cancer Cells 14 -0.115 0.000
Segmented Neutrophils% 15 0.102 0.000
G1-3 16 0.090 0.001
Lymphocytes% 17 -0.089 0.001
Weight 18 -0.088 0.001
ESS 19 0.086 0.01
Pneumonectomies/Lobectomies 20 -0.067 0.01
Glucose 21 -0.060 0.05
Heparin Tolerance 22 0.060 0.05
Eosinophils/Cancer Cells 23 -0.060 0.05
Eosinophils% 24 -0.055 0.05
RESULTS OF KOHONEN SELF-ORGANIZING NEURAL NETWORKS COMPUTING IN
PREDICTION OF LUNG CANCER PATIENTS SURVIVAL AFTER SURGERY (N=698):
LUNG CANCER DYNAMICS:
PROGNOSTIC SEPATH-MODEL OF LUNG CANCER
PATIENTS SURVIVAL AFTER SURGERY (N=698):
5YS OF LCP AFTER RADICAL
PROCEDURES SIGNIFICANTLY
DEPENDED ON:
1) PHASE TRANSITION EARLY-INVASIVE
CANCER;
2) PHASE TRANSITION N0--N12;
3) CELL RATIO FACTORS;
4) BLOOD CELL CIRCUIT;
5) BIOCHEMICAL FACTORS;
6) HEMOSTASIS SYSTEM;
7) ADJUVANT TREATMENT;
8) LC CHARACTERISTICS;
9) SURGERY TYPE:
LOBECTOMY/PNEUMONECTOMY;
10) ANTHROPOMETRIC DATA.
Conclusion:
OLEG KSHIVETS, M.D.,PH.D.
CONSULTANT THORACIC, ABDOMINAL,
GENERAL SURGEON & SURGICAL
ONCOLOGIST
 e-mail: okshivets@yahoo.com
 skype: okshivets
 http: //www.ctsnet.org/home/okshivets

Más contenido relacionado

Similar a Survival of Lung Cancer Patients after Lobectomies was Significantly Superior in Comparison with Lung Cancer Patients after Pneumonectomies

Esophageal Cancer: Precise Prediction
Esophageal Cancer: Precise Prediction      Esophageal Cancer: Precise Prediction
Esophageal Cancer: Precise Prediction Oleg Kshivets
 
Kshivets barcelona2019
Kshivets barcelona2019Kshivets barcelona2019
Kshivets barcelona2019Oleg Kshivets
 
Kshivets O. Esophageal and Cardioesophageal Cancer Surgery
Kshivets O. Esophageal and Cardioesophageal Cancer SurgeryKshivets O. Esophageal and Cardioesophageal Cancer Surgery
Kshivets O. Esophageal and Cardioesophageal Cancer SurgeryOleg Kshivets
 
Kshivets chicago2016
Kshivets chicago2016Kshivets chicago2016
Kshivets chicago2016Oleg Kshivets
 
Kshivets yokohama iaslc2017
Kshivets yokohama iaslc2017Kshivets yokohama iaslc2017
Kshivets yokohama iaslc2017Oleg Kshivets
 
Kshivets Hong Kong Sydney2020
Kshivets Hong Kong Sydney2020Kshivets Hong Kong Sydney2020
Kshivets Hong Kong Sydney2020Oleg Kshivets
 
Kshivets O. Local Advanced Lung Cancer Surgery
Kshivets O. Local Advanced Lung Cancer Surgery Kshivets O. Local Advanced Lung Cancer Surgery
Kshivets O. Local Advanced Lung Cancer Surgery Oleg Kshivets
 
Lung Cancer: Precise Prediction
Lung Cancer: Precise PredictionLung Cancer: Precise Prediction
Lung Cancer: Precise PredictionOleg Kshivets
 
Kshivets_ELCC2023.pdf
Kshivets_ELCC2023.pdfKshivets_ELCC2023.pdf
Kshivets_ELCC2023.pdfOleg Kshivets
 
Kshivets_ELCC2023.pdf
Kshivets_ELCC2023.pdfKshivets_ELCC2023.pdf
Kshivets_ELCC2023.pdfOleg Kshivets
 
Esophageal Cancer: Artificial Intelligence, Synergetics, Complex System Analy...
Esophageal Cancer: Artificial Intelligence, Synergetics, Complex System Analy...Esophageal Cancer: Artificial Intelligence, Synergetics, Complex System Analy...
Esophageal Cancer: Artificial Intelligence, Synergetics, Complex System Analy...Oleg Kshivets
 
Combined Esophagogastrectomies: Survival Outcomes in Patients with Local Adva...
Combined Esophagogastrectomies: Survival Outcomes in Patients with Local Adva...Combined Esophagogastrectomies: Survival Outcomes in Patients with Local Adva...
Combined Esophagogastrectomies: Survival Outcomes in Patients with Local Adva...Oleg Kshivets
 
Kshivets eacts milan2018
Kshivets eacts milan2018Kshivets eacts milan2018
Kshivets eacts milan2018Oleg Kshivets
 
Lung Cancer: 10-Year Survival
Lung Cancer: 10-Year Survival           Lung Cancer: 10-Year Survival
Lung Cancer: 10-Year Survival Oleg Kshivets
 
Kshivets barcelona2017
Kshivets barcelona2017Kshivets barcelona2017
Kshivets barcelona2017Oleg Kshivets
 
Kshivets O. Lung Cancer Surgery
Kshivets O. Lung Cancer SurgeryKshivets O. Lung Cancer Surgery
Kshivets O. Lung Cancer SurgeryOleg Kshivets
 

Similar a Survival of Lung Cancer Patients after Lobectomies was Significantly Superior in Comparison with Lung Cancer Patients after Pneumonectomies (20)

Esophageal Cancer: Precise Prediction
Esophageal Cancer: Precise Prediction      Esophageal Cancer: Precise Prediction
Esophageal Cancer: Precise Prediction
 
Kshivets barcelona2019
Kshivets barcelona2019Kshivets barcelona2019
Kshivets barcelona2019
 
Kshivets ny2021aats
Kshivets ny2021aatsKshivets ny2021aats
Kshivets ny2021aats
 
Kshivets O. Esophageal and Cardioesophageal Cancer Surgery
Kshivets O. Esophageal and Cardioesophageal Cancer SurgeryKshivets O. Esophageal and Cardioesophageal Cancer Surgery
Kshivets O. Esophageal and Cardioesophageal Cancer Surgery
 
Kshivets chicago2016
Kshivets chicago2016Kshivets chicago2016
Kshivets chicago2016
 
Kshivets yokohama iaslc2017
Kshivets yokohama iaslc2017Kshivets yokohama iaslc2017
Kshivets yokohama iaslc2017
 
Kshivets Hong Kong Sydney2020
Kshivets Hong Kong Sydney2020Kshivets Hong Kong Sydney2020
Kshivets Hong Kong Sydney2020
 
Kshivets O. Local Advanced Lung Cancer Surgery
Kshivets O. Local Advanced Lung Cancer Surgery Kshivets O. Local Advanced Lung Cancer Surgery
Kshivets O. Local Advanced Lung Cancer Surgery
 
Kshivets milan2014
Kshivets milan2014Kshivets milan2014
Kshivets milan2014
 
Kshivets esmo2021
Kshivets esmo2021Kshivets esmo2021
Kshivets esmo2021
 
Lung Cancer: Precise Prediction
Lung Cancer: Precise PredictionLung Cancer: Precise Prediction
Lung Cancer: Precise Prediction
 
Kshivets_ELCC2023.pdf
Kshivets_ELCC2023.pdfKshivets_ELCC2023.pdf
Kshivets_ELCC2023.pdf
 
Kshivets_ELCC2023.pdf
Kshivets_ELCC2023.pdfKshivets_ELCC2023.pdf
Kshivets_ELCC2023.pdf
 
Esophageal Cancer: Artificial Intelligence, Synergetics, Complex System Analy...
Esophageal Cancer: Artificial Intelligence, Synergetics, Complex System Analy...Esophageal Cancer: Artificial Intelligence, Synergetics, Complex System Analy...
Esophageal Cancer: Artificial Intelligence, Synergetics, Complex System Analy...
 
Kshivets elcc2022
Kshivets elcc2022Kshivets elcc2022
Kshivets elcc2022
 
Combined Esophagogastrectomies: Survival Outcomes in Patients with Local Adva...
Combined Esophagogastrectomies: Survival Outcomes in Patients with Local Adva...Combined Esophagogastrectomies: Survival Outcomes in Patients with Local Adva...
Combined Esophagogastrectomies: Survival Outcomes in Patients with Local Adva...
 
Kshivets eacts milan2018
Kshivets eacts milan2018Kshivets eacts milan2018
Kshivets eacts milan2018
 
Lung Cancer: 10-Year Survival
Lung Cancer: 10-Year Survival           Lung Cancer: 10-Year Survival
Lung Cancer: 10-Year Survival
 
Kshivets barcelona2017
Kshivets barcelona2017Kshivets barcelona2017
Kshivets barcelona2017
 
Kshivets O. Lung Cancer Surgery
Kshivets O. Lung Cancer SurgeryKshivets O. Lung Cancer Surgery
Kshivets O. Lung Cancer Surgery
 

Más de Oleg Kshivets

Local Advanced Esophageal Cancer (T3-4N0-2M0): Artificial Intelligence, Syner...
Local Advanced Esophageal Cancer (T3-4N0-2M0): Artificial Intelligence, Syner...Local Advanced Esophageal Cancer (T3-4N0-2M0): Artificial Intelligence, Syner...
Local Advanced Esophageal Cancer (T3-4N0-2M0): Artificial Intelligence, Syner...Oleg Kshivets
 
Kshivets Oleg Optimization of Management for Esophageal Cancer Patients (T1-...
Kshivets Oleg  Optimization of Management for Esophageal Cancer Patients (T1-...Kshivets Oleg  Optimization of Management for Esophageal Cancer Patients (T1-...
Kshivets Oleg Optimization of Management for Esophageal Cancer Patients (T1-...Oleg Kshivets
 
Kshivets_IASLC_Singapore2023.pdf
Kshivets_IASLC_Singapore2023.pdfKshivets_IASLC_Singapore2023.pdf
Kshivets_IASLC_Singapore2023.pdfOleg Kshivets
 
KshivetsWSCTS2023_Brazil.pdf
KshivetsWSCTS2023_Brazil.pdfKshivetsWSCTS2023_Brazil.pdf
KshivetsWSCTS2023_Brazil.pdfOleg Kshivets
 
KshivetsWSCTS2023_Brazil.pdf
KshivetsWSCTS2023_Brazil.pdfKshivetsWSCTS2023_Brazil.pdf
KshivetsWSCTS2023_Brazil.pdfOleg Kshivets
 
KshivetsWSCTS2023_Brazil.pdf
KshivetsWSCTS2023_Brazil.pdfKshivetsWSCTS2023_Brazil.pdf
KshivetsWSCTS2023_Brazil.pdfOleg Kshivets
 
Kshivets_WCGIC2023.pdf
Kshivets_WCGIC2023.pdfKshivets_WCGIC2023.pdf
Kshivets_WCGIC2023.pdfOleg Kshivets
 
Kshivets_SPB_WSCTS2022Lung.pdf
Kshivets_SPB_WSCTS2022Lung.pdfKshivets_SPB_WSCTS2022Lung.pdf
Kshivets_SPB_WSCTS2022Lung.pdfOleg Kshivets
 
Lung cancer cell dynamics significantly depended on blood cell circuit, bioch...
Lung cancer cell dynamics significantly depended on blood cell circuit, bioch...Lung cancer cell dynamics significantly depended on blood cell circuit, bioch...
Lung cancer cell dynamics significantly depended on blood cell circuit, bioch...Oleg Kshivets
 
• Gastric cancer prognosis and cell ratio factors
•	Gastric cancer prognosis and cell ratio factors           •	Gastric cancer prognosis and cell ratio factors
• Gastric cancer prognosis and cell ratio factors Oleg Kshivets
 
Kshivets gc 10_ys_wjarr-2021-0659
Kshivets gc 10_ys_wjarr-2021-0659Kshivets gc 10_ys_wjarr-2021-0659
Kshivets gc 10_ys_wjarr-2021-0659Oleg Kshivets
 
Kshivets lc10 ys_wjarr
Kshivets lc10 ys_wjarrKshivets lc10 ys_wjarr
Kshivets lc10 ys_wjarrOleg Kshivets
 
Kshivets eso10 y2021
Kshivets eso10 y2021Kshivets eso10 y2021
Kshivets eso10 y2021Oleg Kshivets
 
2021 esmo world_gi_poster_kshivets
2021 esmo world_gi_poster_kshivets2021 esmo world_gi_poster_kshivets
2021 esmo world_gi_poster_kshivetsOleg Kshivets
 
Kshivets iaslc singapore2020
Kshivets iaslc singapore2020Kshivets iaslc singapore2020
Kshivets iaslc singapore2020Oleg Kshivets
 
Kshivets ASCO Chicago2020
Kshivets ASCO Chicago2020Kshivets ASCO Chicago2020
Kshivets ASCO Chicago2020Oleg Kshivets
 

Más de Oleg Kshivets (16)

Local Advanced Esophageal Cancer (T3-4N0-2M0): Artificial Intelligence, Syner...
Local Advanced Esophageal Cancer (T3-4N0-2M0): Artificial Intelligence, Syner...Local Advanced Esophageal Cancer (T3-4N0-2M0): Artificial Intelligence, Syner...
Local Advanced Esophageal Cancer (T3-4N0-2M0): Artificial Intelligence, Syner...
 
Kshivets Oleg Optimization of Management for Esophageal Cancer Patients (T1-...
Kshivets Oleg  Optimization of Management for Esophageal Cancer Patients (T1-...Kshivets Oleg  Optimization of Management for Esophageal Cancer Patients (T1-...
Kshivets Oleg Optimization of Management for Esophageal Cancer Patients (T1-...
 
Kshivets_IASLC_Singapore2023.pdf
Kshivets_IASLC_Singapore2023.pdfKshivets_IASLC_Singapore2023.pdf
Kshivets_IASLC_Singapore2023.pdf
 
KshivetsWSCTS2023_Brazil.pdf
KshivetsWSCTS2023_Brazil.pdfKshivetsWSCTS2023_Brazil.pdf
KshivetsWSCTS2023_Brazil.pdf
 
KshivetsWSCTS2023_Brazil.pdf
KshivetsWSCTS2023_Brazil.pdfKshivetsWSCTS2023_Brazil.pdf
KshivetsWSCTS2023_Brazil.pdf
 
KshivetsWSCTS2023_Brazil.pdf
KshivetsWSCTS2023_Brazil.pdfKshivetsWSCTS2023_Brazil.pdf
KshivetsWSCTS2023_Brazil.pdf
 
Kshivets_WCGIC2023.pdf
Kshivets_WCGIC2023.pdfKshivets_WCGIC2023.pdf
Kshivets_WCGIC2023.pdf
 
Kshivets_SPB_WSCTS2022Lung.pdf
Kshivets_SPB_WSCTS2022Lung.pdfKshivets_SPB_WSCTS2022Lung.pdf
Kshivets_SPB_WSCTS2022Lung.pdf
 
Lung cancer cell dynamics significantly depended on blood cell circuit, bioch...
Lung cancer cell dynamics significantly depended on blood cell circuit, bioch...Lung cancer cell dynamics significantly depended on blood cell circuit, bioch...
Lung cancer cell dynamics significantly depended on blood cell circuit, bioch...
 
• Gastric cancer prognosis and cell ratio factors
•	Gastric cancer prognosis and cell ratio factors           •	Gastric cancer prognosis and cell ratio factors
• Gastric cancer prognosis and cell ratio factors
 
Kshivets gc 10_ys_wjarr-2021-0659
Kshivets gc 10_ys_wjarr-2021-0659Kshivets gc 10_ys_wjarr-2021-0659
Kshivets gc 10_ys_wjarr-2021-0659
 
Kshivets lc10 ys_wjarr
Kshivets lc10 ys_wjarrKshivets lc10 ys_wjarr
Kshivets lc10 ys_wjarr
 
Kshivets eso10 y2021
Kshivets eso10 y2021Kshivets eso10 y2021
Kshivets eso10 y2021
 
2021 esmo world_gi_poster_kshivets
2021 esmo world_gi_poster_kshivets2021 esmo world_gi_poster_kshivets
2021 esmo world_gi_poster_kshivets
 
Kshivets iaslc singapore2020
Kshivets iaslc singapore2020Kshivets iaslc singapore2020
Kshivets iaslc singapore2020
 
Kshivets ASCO Chicago2020
Kshivets ASCO Chicago2020Kshivets ASCO Chicago2020
Kshivets ASCO Chicago2020
 

Último

call girls in Dwarka Sector 21 Metro DELHI 🔝 >༒9540349809 🔝 genuine Escort Se...
call girls in Dwarka Sector 21 Metro DELHI 🔝 >༒9540349809 🔝 genuine Escort Se...call girls in Dwarka Sector 21 Metro DELHI 🔝 >༒9540349809 🔝 genuine Escort Se...
call girls in Dwarka Sector 21 Metro DELHI 🔝 >༒9540349809 🔝 genuine Escort Se...saminamagar
 
97111 47426 Call Girls In Delhi MUNIRKAA
97111 47426 Call Girls In Delhi MUNIRKAA97111 47426 Call Girls In Delhi MUNIRKAA
97111 47426 Call Girls In Delhi MUNIRKAAjennyeacort
 
Report Back from SGO: What’s New in Uterine Cancer?.pptx
Report Back from SGO: What’s New in Uterine Cancer?.pptxReport Back from SGO: What’s New in Uterine Cancer?.pptx
Report Back from SGO: What’s New in Uterine Cancer?.pptxbkling
 
COVID-19 (NOVEL CORONA VIRUS DISEASE PANDEMIC ).pptx
COVID-19  (NOVEL CORONA  VIRUS DISEASE PANDEMIC ).pptxCOVID-19  (NOVEL CORONA  VIRUS DISEASE PANDEMIC ).pptx
COVID-19 (NOVEL CORONA VIRUS DISEASE PANDEMIC ).pptxBibekananda shah
 
epilepsy and status epilepticus for undergraduate.pptx
epilepsy and status epilepticus  for undergraduate.pptxepilepsy and status epilepticus  for undergraduate.pptx
epilepsy and status epilepticus for undergraduate.pptxMohamed Rizk Khodair
 
Hematology and Immunology - Leukocytes Functions
Hematology and Immunology - Leukocytes FunctionsHematology and Immunology - Leukocytes Functions
Hematology and Immunology - Leukocytes FunctionsMedicoseAcademics
 
PNEUMOTHORAX AND ITS MANAGEMENTS.pdf
PNEUMOTHORAX   AND  ITS  MANAGEMENTS.pdfPNEUMOTHORAX   AND  ITS  MANAGEMENTS.pdf
PNEUMOTHORAX AND ITS MANAGEMENTS.pdfDolisha Warbi
 
April 2024 ONCOLOGY CARTOON by DR KANHU CHARAN PATRO
April 2024 ONCOLOGY CARTOON by  DR KANHU CHARAN PATROApril 2024 ONCOLOGY CARTOON by  DR KANHU CHARAN PATRO
April 2024 ONCOLOGY CARTOON by DR KANHU CHARAN PATROKanhu Charan
 
Informed Consent Empowering Healthcare Decision-Making.pptx
Informed Consent Empowering Healthcare Decision-Making.pptxInformed Consent Empowering Healthcare Decision-Making.pptx
Informed Consent Empowering Healthcare Decision-Making.pptxSasikiranMarri
 
History and Development of Pharmacovigilence.pdf
History and Development of Pharmacovigilence.pdfHistory and Development of Pharmacovigilence.pdf
History and Development of Pharmacovigilence.pdfSasikiranMarri
 
PULMONARY EMBOLISM AND ITS MANAGEMENTS.pdf
PULMONARY EMBOLISM AND ITS MANAGEMENTS.pdfPULMONARY EMBOLISM AND ITS MANAGEMENTS.pdf
PULMONARY EMBOLISM AND ITS MANAGEMENTS.pdfDolisha Warbi
 
call girls in munirka DELHI 🔝 >༒9540349809 🔝 genuine Escort Service 🔝✔️✔️
call girls in munirka  DELHI 🔝 >༒9540349809 🔝 genuine Escort Service 🔝✔️✔️call girls in munirka  DELHI 🔝 >༒9540349809 🔝 genuine Escort Service 🔝✔️✔️
call girls in munirka DELHI 🔝 >༒9540349809 🔝 genuine Escort Service 🔝✔️✔️saminamagar
 
See the 2,456 pharmacies on the National E-Pharmacy Platform
See the 2,456 pharmacies on the National E-Pharmacy PlatformSee the 2,456 pharmacies on the National E-Pharmacy Platform
See the 2,456 pharmacies on the National E-Pharmacy PlatformKweku Zurek
 
LUNG TUMORS AND ITS CLASSIFICATIONS.pdf
LUNG TUMORS AND ITS  CLASSIFICATIONS.pdfLUNG TUMORS AND ITS  CLASSIFICATIONS.pdf
LUNG TUMORS AND ITS CLASSIFICATIONS.pdfDolisha Warbi
 
world health day presentation ppt download
world health day presentation ppt downloadworld health day presentation ppt download
world health day presentation ppt downloadAnkitKumar311566
 
Music Therapy's Impact in Palliative Care| IAPCON2024| Dr. Tara Rajendran
Music Therapy's Impact in Palliative Care| IAPCON2024| Dr. Tara RajendranMusic Therapy's Impact in Palliative Care| IAPCON2024| Dr. Tara Rajendran
Music Therapy's Impact in Palliative Care| IAPCON2024| Dr. Tara RajendranTara Rajendran
 
Pharmaceutical Marketting: Unit-5, Pricing
Pharmaceutical Marketting: Unit-5, PricingPharmaceutical Marketting: Unit-5, Pricing
Pharmaceutical Marketting: Unit-5, PricingArunagarwal328757
 
Biomechanics- Shoulder Joint!!!!!!!!!!!!
Biomechanics- Shoulder Joint!!!!!!!!!!!!Biomechanics- Shoulder Joint!!!!!!!!!!!!
Biomechanics- Shoulder Joint!!!!!!!!!!!!ibtesaam huma
 
Let's Talk About It: To Disclose or Not to Disclose?
Let's Talk About It: To Disclose or Not to Disclose?Let's Talk About It: To Disclose or Not to Disclose?
Let's Talk About It: To Disclose or Not to Disclose?bkling
 
Case Report Peripartum Cardiomyopathy.pptx
Case Report Peripartum Cardiomyopathy.pptxCase Report Peripartum Cardiomyopathy.pptx
Case Report Peripartum Cardiomyopathy.pptxNiranjan Chavan
 

Último (20)

call girls in Dwarka Sector 21 Metro DELHI 🔝 >༒9540349809 🔝 genuine Escort Se...
call girls in Dwarka Sector 21 Metro DELHI 🔝 >༒9540349809 🔝 genuine Escort Se...call girls in Dwarka Sector 21 Metro DELHI 🔝 >༒9540349809 🔝 genuine Escort Se...
call girls in Dwarka Sector 21 Metro DELHI 🔝 >༒9540349809 🔝 genuine Escort Se...
 
97111 47426 Call Girls In Delhi MUNIRKAA
97111 47426 Call Girls In Delhi MUNIRKAA97111 47426 Call Girls In Delhi MUNIRKAA
97111 47426 Call Girls In Delhi MUNIRKAA
 
Report Back from SGO: What’s New in Uterine Cancer?.pptx
Report Back from SGO: What’s New in Uterine Cancer?.pptxReport Back from SGO: What’s New in Uterine Cancer?.pptx
Report Back from SGO: What’s New in Uterine Cancer?.pptx
 
COVID-19 (NOVEL CORONA VIRUS DISEASE PANDEMIC ).pptx
COVID-19  (NOVEL CORONA  VIRUS DISEASE PANDEMIC ).pptxCOVID-19  (NOVEL CORONA  VIRUS DISEASE PANDEMIC ).pptx
COVID-19 (NOVEL CORONA VIRUS DISEASE PANDEMIC ).pptx
 
epilepsy and status epilepticus for undergraduate.pptx
epilepsy and status epilepticus  for undergraduate.pptxepilepsy and status epilepticus  for undergraduate.pptx
epilepsy and status epilepticus for undergraduate.pptx
 
Hematology and Immunology - Leukocytes Functions
Hematology and Immunology - Leukocytes FunctionsHematology and Immunology - Leukocytes Functions
Hematology and Immunology - Leukocytes Functions
 
PNEUMOTHORAX AND ITS MANAGEMENTS.pdf
PNEUMOTHORAX   AND  ITS  MANAGEMENTS.pdfPNEUMOTHORAX   AND  ITS  MANAGEMENTS.pdf
PNEUMOTHORAX AND ITS MANAGEMENTS.pdf
 
April 2024 ONCOLOGY CARTOON by DR KANHU CHARAN PATRO
April 2024 ONCOLOGY CARTOON by  DR KANHU CHARAN PATROApril 2024 ONCOLOGY CARTOON by  DR KANHU CHARAN PATRO
April 2024 ONCOLOGY CARTOON by DR KANHU CHARAN PATRO
 
Informed Consent Empowering Healthcare Decision-Making.pptx
Informed Consent Empowering Healthcare Decision-Making.pptxInformed Consent Empowering Healthcare Decision-Making.pptx
Informed Consent Empowering Healthcare Decision-Making.pptx
 
History and Development of Pharmacovigilence.pdf
History and Development of Pharmacovigilence.pdfHistory and Development of Pharmacovigilence.pdf
History and Development of Pharmacovigilence.pdf
 
PULMONARY EMBOLISM AND ITS MANAGEMENTS.pdf
PULMONARY EMBOLISM AND ITS MANAGEMENTS.pdfPULMONARY EMBOLISM AND ITS MANAGEMENTS.pdf
PULMONARY EMBOLISM AND ITS MANAGEMENTS.pdf
 
call girls in munirka DELHI 🔝 >༒9540349809 🔝 genuine Escort Service 🔝✔️✔️
call girls in munirka  DELHI 🔝 >༒9540349809 🔝 genuine Escort Service 🔝✔️✔️call girls in munirka  DELHI 🔝 >༒9540349809 🔝 genuine Escort Service 🔝✔️✔️
call girls in munirka DELHI 🔝 >༒9540349809 🔝 genuine Escort Service 🔝✔️✔️
 
See the 2,456 pharmacies on the National E-Pharmacy Platform
See the 2,456 pharmacies on the National E-Pharmacy PlatformSee the 2,456 pharmacies on the National E-Pharmacy Platform
See the 2,456 pharmacies on the National E-Pharmacy Platform
 
LUNG TUMORS AND ITS CLASSIFICATIONS.pdf
LUNG TUMORS AND ITS  CLASSIFICATIONS.pdfLUNG TUMORS AND ITS  CLASSIFICATIONS.pdf
LUNG TUMORS AND ITS CLASSIFICATIONS.pdf
 
world health day presentation ppt download
world health day presentation ppt downloadworld health day presentation ppt download
world health day presentation ppt download
 
Music Therapy's Impact in Palliative Care| IAPCON2024| Dr. Tara Rajendran
Music Therapy's Impact in Palliative Care| IAPCON2024| Dr. Tara RajendranMusic Therapy's Impact in Palliative Care| IAPCON2024| Dr. Tara Rajendran
Music Therapy's Impact in Palliative Care| IAPCON2024| Dr. Tara Rajendran
 
Pharmaceutical Marketting: Unit-5, Pricing
Pharmaceutical Marketting: Unit-5, PricingPharmaceutical Marketting: Unit-5, Pricing
Pharmaceutical Marketting: Unit-5, Pricing
 
Biomechanics- Shoulder Joint!!!!!!!!!!!!
Biomechanics- Shoulder Joint!!!!!!!!!!!!Biomechanics- Shoulder Joint!!!!!!!!!!!!
Biomechanics- Shoulder Joint!!!!!!!!!!!!
 
Let's Talk About It: To Disclose or Not to Disclose?
Let's Talk About It: To Disclose or Not to Disclose?Let's Talk About It: To Disclose or Not to Disclose?
Let's Talk About It: To Disclose or Not to Disclose?
 
Case Report Peripartum Cardiomyopathy.pptx
Case Report Peripartum Cardiomyopathy.pptxCase Report Peripartum Cardiomyopathy.pptx
Case Report Peripartum Cardiomyopathy.pptx
 

Survival of Lung Cancer Patients after Lobectomies was Significantly Superior in Comparison with Lung Cancer Patients after Pneumonectomies

  • 1. SURVIVAL OF LUNG CANCER PATIENTS AFTER LOBECTOMIES WAS SIGNIFICANTLY SUPERIOR IN COMPARISON WITH LUNG CANCER PATIENTS AFTER PNEUMONECTOMIES Kshivets Oleg, MD, PhD Surgery Department, Roshal Hospital, Roshal, Moscow, Russia
  • 2. ABSTRACT OBJECTIVE: This study aimed to determine surgery type influence for 5-year survival (5YS) of non-small cell lung cancer (LC) patients (LCP) after complete en block (R0) lobectomies and pneumonectomies. METHODS: We analyzed data of 765 consecutive patients (age=57.6±8.3 years; tumor size=4.1±2.4 cm) radically operated (R0) and monitored in 1985-2022 (m=659, f=106; bi/lobectomies=512, pneumonectomies=253, mediastinal lymph node dissection=765; combined procedures with resection of trachea, carina, atrium, aorta, VCS, vena azygos, pericardium, liver, diaphragm, ribs, esophagus=192; only surgery-S=616, adjuvant chemoimmunoradiotherapy-AT=149: CAV/gemzar + cisplatin + thymalin/taktivin + radiotherapy 45-50Gy; T1=318, T2=255, T3=133, T4=59; N0=514, N1=131, N2=120, M0=765; G1=194, G2=241, G3=330; squamous=417, adenocarcinoma=298, large cell=50; early LC=212, invasive LC=553. Multivariate Cox modeling, discriminant analysis, clustering, SEPATH, Monte Carlo, bootstrap and neural networks computing were used to determine any significant dependence. RESULTS: Overall life span (LS) was 2240.1±1751.6 days and cumulative 5-year survival (5YS) reached 72.8%, 10 years – 64.2%, 20 years – 42.9%. 499 LCP lived more than 5 years (LS=3126.8±1540 days), 143 LCP – more than 10 years (LS=5083.3±1518.6 days).199 LCP died because of LC (LS=562.7±374.5 days). 5YS of LCP after bi/lobectomies was significantly superior in comparison with LCP after pneumonectomies (77.6% vs.63.1%, P=0.00001 by log-rank test). AT significantly improved 5YS (64.4% vs. 34.8%) (P=0.00003 by log-rank test) only for LCP with N1-2. Cox modeling displayed that 5YS of LCP significantly depended on: phase transition (PT) early-invasive LC in terms of synergetics, PT N0—N12, cell ratio factors (ratio between cancer cells- CC and blood cells subpopulations), G1-3, histology, glucose, AT, blood cell circuit, prothrombin index, heparin tolerance, recalcification time (P=0.000-0.038). 5YS of LCP after lobectomies (77.6%) was significantly superior in comparison with LCP after pneumonectomies (63%) (P=0.00001 by log-rank test). Neural networks, genetic algorithm selection and bootstrap simulation revealed relationships between 5YS and PT early-invasive LC (rank=1), PT N0—N12(rank=2), thrombocytes/CC (3), erythrocytes/CC (4), eosinophils/CC (5), healthy cells/CC (6), segmented neutrophils/CC (7), lymphocytes/CC (8), monocytes/CC (9); stick neutrophils/CC (10), leucocytes/CC (11). Correct prediction of 5YS was 100% by neural networks computing (area under ROC curve=1.0; error=0.0). CONCLUSIONS: 5YS of LCP after radical procedures significantly depended on: 1) PT early-invasive cancer; 2) PT N0--N12; 3) cell ratio factors; 4) blood cell circuit; 5) biochemical factors; 6) hemostasis system; 7) AT; 8) LC characteristics; 9) surgery type: lobectomy/pneumonectomy; 10) anthropometric data.
  • 3. RADICAL PROCEDURES: Bi/Lobectomies (R0)……………………………………..…….…….512 Pneumonectomies (R0)………………….………...........................253 Combined Procedures with Resection of Trachea, Carina, Atrium, Aorta, VCS, Vena Azygos, Pericardium, Liver, Diaphragm, Ribs, Esophagus (R0)……………...........................192 Mediastinal Lymphadenectomy………………………..………….765
  • 4. DATA: Males……………………………………………………………….....659 Females………..……………………………………….…................106 Age=57.6±8.3 years Tumor Size=4.1±2.1 cm Only Surgery.……………………………………………….............616 Adjuvant Chemoimmunoradiotherapy (CAV/gemzar+cisplatin+thymalin/taktivin, 5-6 cycles+ Radiotherapy 45-50Gy)…………................................................149
  • 5. STAGING: T1……318 N0..….514 G1…………194 T2……255 N1…...131 G2…………241 T3……133 N2…...120 G3…………330 T4……..59 M0…..765 Adenocarcinoma………………………….….417 Squamos Cell Carcinoma…………………..228 Large Cell Carcinoma…………………...........50 Early Cancer……………………………...…...212 Invasive Cancer…………………………..…..553 .
  • 6. SURVIVAL RATE: Alive……………………………………….....511 (66.8%) 5-Year Survivors…………..……………….499 (65.2%) 10-Year Survivors………………………….143 (18.7%) Losses……………………………………….199 (26%) General Life Span=2240.1±1751.6 days For 5-Year Survivors=3126.8±1540 days For 10-Year Survivors=5083.3±1518.6 days For Losses=562.7±374.5 days Cumulative 5-Year Survival……………………..72.8% Cumulative 10-Year Survival…………………....64.2% Cumulative 20-Year Survival…………………....42.9%
  • 7. GENERAL LUNG CANCER PATIENTS SURVIVAL AFTER COMPLETE LOBECTOMIES/PNEUMONECTOMIES (KAPLAN-MEIER) (N=765): Survival Function 5YS of LCP=72.8%; 10YS=64.2%; 20YS=42.9%. Complete Censored -5 0 5 10 15 20 25 30 Years after Surgery 0.0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1.0 Cumulative Proportion Surviving
  • 8. RESULTS OF UNIVARIATE ANALYSIS OF PHASE TRANSITION EARLY—INVASIVE CANCER IN PREDICTION OF LUNG CANCER PATIENTS SURVIVAL (N=765): Cumulative Proportion Surviving (Kaplan-Meier) 5YS LCP with Early Cancer=100%; 5YS LCP with Invasive Cancer=62%; P=0.0000 by Log-Rank Test. Complete Censored 0 5 10 15 20 25 30 35 Years after Surgery -0.2 0.0 0.2 0.4 0.6 0.8 1.0 Cumulative Proportion Surviving LCP with Invasive Cancer LCP with Early Cancer
  • 9. RESULTS OF UNIVARIATE ANALYSIS OF PHASE TRANSITION N0—N1-2 IN PREDICTION OF LUNG CANCER PATIENTS SURVIVAL (N=765): Cumulative Proportion Surviving (Kaplan-Meier) 5YS LCP with N0=86.8%; 5YS LCP with N12=43.4%; P=0.0000 by Log-Rank Test. Complete Censored 0 5 10 15 20 25 30 35 Years after Surgery 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1.0 Cumulative Proportion Surviving LCP with N12 LCP with N0
  • 10. RESULTS OF UNIVARIATE ANALYSIS OF ADJUVANT CHEMOIMMUNORADIOTHERAPY IN PREDICTION OF LUNG CANCER PATIENTS SURVIVAL WITH N1-2 (N=251): Cumulative Proportion Surviving (Kaplan-Meier) LCP with N12 5YS LCP after Adjuvant Treatment=63.4%; 5YS after surgery along=34.8%; P=0.00003 by Log-Rank Test. Complete Censored 0 5 10 15 20 25 30 Years after Surgery 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1.0 Cumulative Proportion Surviving only Surgery Adjuvant Chemoimmunoradiotherapy
  • 11. RESULTS OF UNIVARIATE ANALYSIS OF SURGERY TYPE (LOBECTOMIES VS. PNEUMONECTOMIES) IN PREDICTION OF LUNG CANCER PATIENTS SURVIVAL (N=765): Cumulative Proportion Surviving (Kaplan-Meier) 5YS LCP after Lobectomies=77.6%; 5YS LCP after Pneumonectomies=63%; P=0.00001 by Log-Rank Test. Complete Censored 0 5 10 15 20 25 30 35 Years after Surgery -0.1 0.0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1.0 Cumulative Proportion Surviving LCP after Pneumonectomies LCP after Lobectomies
  • 12. RESULTS OF COX REGRESSION MODELING IN PREDICTION OF LUNG CANCER PATIENTS SURVIVAL AFTER COMPLETE SURGERY (N=756): Cox Parameter Estimate Standard Error Chi- square P value 95% Lower CL 95% Upper CL Hazard Ratio PT N0----N12 1.12860 0.144710 60.82492 0.000000 0.84497 1.4122293.091330 PT Early-Invasive LC -1.47064 0.289169 25.86488 0.000000 -2.03740 -0.9038810.229778 Histology 0.32311 0.083065 15.13080 0.000100 0.16030 0.4859111.381414 Heparin Tolerance 0.00334 0.000653 26.16087 0.000000 0.00206 0.0046221.003347 Recalcification Time -0.00395 0.001693 5.43911 0.019691 -0.00727 -0.0006300.996059 Prothrombin Index 0.03107 0.006560 22.43073 0.000002 0.01821 0.0439241.031555 AT -1.03805 0.196916 27.78926 0.000000 -1.42400 -0.6521060.354143 Leucocytes/CC -0.40957 0.150122 7.44318 0.006368 -0.70380 -0.1153320.663939 Segmented Neut/CC 0.43089 0.162072 7.06844 0.007845 0.11324 0.7485501.538633 Lymphocytes/CC 0.37542 0.172624 4.72960 0.029648 0.03708 0.7137521.455597 G1-3 0.31333 0.087560 12.80502 0.000346 0.14171 0.4849431.367969 Glucose -0.32171 0.077069 17.42452 0.000030 -0.47276 -0.1706540.724911 Thrombocytes tot 0.00055 0.000184 8.94820 0.002777 0.00019 0.0009131.000552 Erythrocytes tot -0.03595 0.016873 4.53860 0.033139 -0.06902 -0.0028760.964691 Age 0.01723 0.008588 4.02430 0.044849 0.00040 0.0340601.017377
  • 13. RESULTS OF NEURAL NETWORKS COMPUTING IN PREDICTION OF LUNG CANCER PATIENTS SURVIVAL AFTER COMPLETE SURGERY (N=698): Corect Classification Rate=100%; Error=0.000; Area under ROC Curve=1.000. Factors, LCP=698 Rank Sensitivity Phase Transition Early—Invasive Cancer 1 28854 Phase Transition N0---N12 2 25420 Thrombocytes/Cancer Cells 3 11601 Erythrocytes/Cancer Cells 4 11414 Eosinophils/Cancer Cells 5 10658 Healthy Cells/Cancer Cells 6 8871 Segmented Neutrophils/Cancer Cells 7 7844 Lymphocytes/Cancer Cells 8 6416 Monocytes/Cancer Cells 9 5454 Stick Neutrophils/Cancer Cells 10 5353 Leucocytes/Cancer Cells 11 4075
  • 14. RESULTS OF BOOTSTRAP SIMULATION IN PREDICTION OF LUNG CANCER PATIENTS SURVIVAL AFTER SURGERY (N=698): Bootstrap Simulation n=698 Significant Factors (Number of Samples=3333) Rank Kendal Tau-A P< Healthy Cells/Cancer Cells 1 -0.297 0.000 Erythrocytes/Cancer Cells 2 -0.293 0.000 Lymphocytes/Cancer Cells 3 -0.287 0.000 Thrombocytes/Cancer Cells 4 -0.268 0.000 Leucocytes/Cancer Cells 5 -0.258 0.000 Segmented Neutrophils/Cancer Cells 6 -0.208 0.000 Tumor Size 7 0.174 0.000 Phase Transition Early-Invasive Cancer 8 -0.163 0.000 Phase Transition N0---N12 9 -0.158 0.000 T1-4 10 0.151 0.000 Prothrombin Index 11 0.141 0.000 Lymphocytes tot 12 -0.140 0.000 Erythrocytes tot 13 -0.138 0.000 Monocytes/Cancer Cells 14 -0.115 0.000 Segmented Neutrophils% 15 0.102 0.000 G1-3 16 0.090 0.001 Lymphocytes% 17 -0.089 0.001 Weight 18 -0.088 0.001 ESS 19 0.086 0.01 Pneumonectomies/Lobectomies 20 -0.067 0.01 Glucose 21 -0.060 0.05 Heparin Tolerance 22 0.060 0.05 Eosinophils/Cancer Cells 23 -0.060 0.05 Eosinophils% 24 -0.055 0.05
  • 15. RESULTS OF KOHONEN SELF-ORGANIZING NEURAL NETWORKS COMPUTING IN PREDICTION OF LUNG CANCER PATIENTS SURVIVAL AFTER SURGERY (N=698):
  • 17. PROGNOSTIC SEPATH-MODEL OF LUNG CANCER PATIENTS SURVIVAL AFTER SURGERY (N=698):
  • 18. 5YS OF LCP AFTER RADICAL PROCEDURES SIGNIFICANTLY DEPENDED ON: 1) PHASE TRANSITION EARLY-INVASIVE CANCER; 2) PHASE TRANSITION N0--N12; 3) CELL RATIO FACTORS; 4) BLOOD CELL CIRCUIT; 5) BIOCHEMICAL FACTORS; 6) HEMOSTASIS SYSTEM; 7) ADJUVANT TREATMENT; 8) LC CHARACTERISTICS; 9) SURGERY TYPE: LOBECTOMY/PNEUMONECTOMY; 10) ANTHROPOMETRIC DATA. Conclusion:
  • 19. OLEG KSHIVETS, M.D.,PH.D. CONSULTANT THORACIC, ABDOMINAL, GENERAL SURGEON & SURGICAL ONCOLOGIST  e-mail: okshivets@yahoo.com  skype: okshivets  http: //www.ctsnet.org/home/okshivets